Datasets:

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ftopal

/

huggingface-datasets-embeddings

like 0

[ "language:en", "region:us" ]

[]

[ "en" ]

[ "# Dataset Card for vlsp", "## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - Personal and Sensitive Information\n- Considerations for Using the Data\n - Social Impact of Dataset\n - Discussion of Biases\n - Other Known Limitations\n- Additional Information\n - Dataset Curators\n - Licensing Information\n - Citation Information", "## Dataset Description\n\n- Homepage: \n- Repository: URL\n- Paper: \n- Leaderboard: \n- Point of Contact:", "### Dataset Summary\n\nDataset following the methodology of the scientific_papers dataset, but specifically designed for very long documents (>10,000 words). This is gathered from URL by searching for theses.\n\nThe dataset has 2 features:\n- article: the body of the document.\n- abstract: the abstract of the document.", "### Supported Tasks and Leaderboards\n\nSummarization", "### Languages\n\nEnglish", "## Dataset Structure", "### Data Instances", "### Data Fields", "### Data Splits\n\nOnly a test set is provided.", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information", "## Considerations for Using the Data", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations", "## Additional Information", "### Dataset Curators", "### Licensing Information" ]

[ "TAGS\n#language-English #region-us \n", "# Dataset Card for vlsp", "## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - Personal and Sensitive Information\n- Considerations for Using the Data\n - Social Impact of Dataset\n - Discussion of Biases\n - Other Known Limitations\n- Additional Information\n - Dataset Curators\n - Licensing Information\n - Citation Information", "## Dataset Description\n\n- Homepage: \n- Repository: URL\n- Paper: \n- Leaderboard: \n- Point of Contact:", "### Dataset Summary\n\nDataset following the methodology of the scientific_papers dataset, but specifically designed for very long documents (>10,000 words). This is gathered from URL by searching for theses.\n\nThe dataset has 2 features:\n- article: the body of the document.\n- abstract: the abstract of the document.", "### Supported Tasks and Leaderboards\n\nSummarization", "### Languages\n\nEnglish", "## Dataset Structure", "### Data Instances", "### Data Fields", "### Data Splits\n\nOnly a test set is provided.", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information", "## Considerations for Using the Data", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations", "## Additional Information", "### Dataset Curators", "### Licensing Information" ]

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[ "passage: TAGS\n#language-English #region-us \n# Dataset Card for vlsp## Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - Personal and Sensitive Information\n- Considerations for Using the Data\n - Social Impact of Dataset\n - Discussion of Biases\n - Other Known Limitations\n- Additional Information\n - Dataset Curators\n - Licensing Information\n - Citation Information## Dataset Description\n\n- Homepage: \n- Repository: URL\n- Paper: \n- Leaderboard: \n- Point of Contact:### Dataset Summary\n\nDataset following the methodology of the scientific_papers dataset, but specifically designed for very long documents (>10,000 words). This is gathered from URL by searching for theses.\n\nThe dataset has 2 features:\n- article: the body of the document.\n- abstract: the abstract of the document.### Supported Tasks and Leaderboards\n\nSummarization### Languages\n\nEnglish## Dataset Structure### Data Instances### Data Fields### Data Splits\n\nOnly a test set is provided.## Dataset Creation### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information## Considerations for Using the Data### Social Impact of Dataset### Discussion of Biases### Other Known Limitations## Additional Information### Dataset Curators### Licensing Information" ]

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[ "task_categories:automatic-speech-recognition", "language:fr", "license:cc", "region:us" ]

[]

[ "fr" ]

[ "## Dataset Description\n- Homepage: URL", "### Dataset Summary\n\nThis corpus consists of approximately 22 hours of speech recordings. Transcripts are provided for all the recordings. The corpus can be divided into 3 parts:\n\n1. Yaounde\n\nCollected by a team from the U.S. Military Academy's Center for Technology Enhanced Language Learning (CTELL) in 2003 in Yaoundé, Cameroon. It has recordings from 84 speakers, 48 male and 36 female.\n\n2. CA16\n\nThis part was collected by a RDECOM Science Team who participated in the United Nations exercise Central Accord 16 (CA16) in Libreville, Gabon in June 2016. The Science Team included DARPA's Dr. Boyan Onyshkevich and Dr. Aaron Lawson (SRI International), as well as RDECOM scientists. It has recordings from 125 speakers from Cameroon, Chad, Congo and Gabon.\n\n3. Niger\n\nThis part was collected from 23 speakers in Niamey, Niger, Oct. 26-30 2015. These speakers were students in a course for officers and sergeants presented by Army trainers assigned to U.S. Army Africa. The data was collected by RDECOM Science & Technology Advisors Major Eddie Strimel and Mr. Bill Bergen.", "### Languages\n\nFrench", "## Dataset Structure", "### Data Instances\nA typical data point comprises the path to the audio file, called audio and its sentence.", "### Data Fields\n\n- audio: A dictionary containing the path to the downloaded audio file, the decoded audio array, and the sampling rate. Note that when accessing the audio column: 'dataset[0][\"audio\"]' the audio file is automatically decoded and resampled to 'dataset.features[\"audio\"].sampling_rate'. Decoding and resampling of a large number of audio files might take a significant amount of time. Thus it is important to first query the sample index before the '\"audio\"' column, *i.e.* 'dataset[0][\"audio\"]' should always be preferred over 'dataset[\"audio\"][0]'.\n\n- sentence: The sentence the user was prompted to speak", "### Data Splits\nThe speech material has been subdivided into portions for train and test.\nThe train split consists of 9401 audio clips and the related sentences.\nThe test split consists of 1985 audio clips and the related sentences.", "### Contributions\n@gigant added this dataset." ]

[ "TAGS\n#task_categories-automatic-speech-recognition #language-French #license-cc #region-us \n", "## Dataset Description\n- Homepage: URL", "### Dataset Summary\n\nThis corpus consists of approximately 22 hours of speech recordings. Transcripts are provided for all the recordings. The corpus can be divided into 3 parts:\n\n1. Yaounde\n\nCollected by a team from the U.S. Military Academy's Center for Technology Enhanced Language Learning (CTELL) in 2003 in Yaoundé, Cameroon. It has recordings from 84 speakers, 48 male and 36 female.\n\n2. CA16\n\nThis part was collected by a RDECOM Science Team who participated in the United Nations exercise Central Accord 16 (CA16) in Libreville, Gabon in June 2016. The Science Team included DARPA's Dr. Boyan Onyshkevich and Dr. Aaron Lawson (SRI International), as well as RDECOM scientists. It has recordings from 125 speakers from Cameroon, Chad, Congo and Gabon.\n\n3. Niger\n\nThis part was collected from 23 speakers in Niamey, Niger, Oct. 26-30 2015. These speakers were students in a course for officers and sergeants presented by Army trainers assigned to U.S. Army Africa. The data was collected by RDECOM Science & Technology Advisors Major Eddie Strimel and Mr. Bill Bergen.", "### Languages\n\nFrench", "## Dataset Structure", "### Data Instances\nA typical data point comprises the path to the audio file, called audio and its sentence.", "### Data Fields\n\n- audio: A dictionary containing the path to the downloaded audio file, the decoded audio array, and the sampling rate. Note that when accessing the audio column: 'dataset[0][\"audio\"]' the audio file is automatically decoded and resampled to 'dataset.features[\"audio\"].sampling_rate'. Decoding and resampling of a large number of audio files might take a significant amount of time. Thus it is important to first query the sample index before the '\"audio\"' column, *i.e.* 'dataset[0][\"audio\"]' should always be preferred over 'dataset[\"audio\"][0]'.\n\n- sentence: The sentence the user was prompted to speak", "### Data Splits\nThe speech material has been subdivided into portions for train and test.\nThe train split consists of 9401 audio clips and the related sentences.\nThe test split consists of 1985 audio clips and the related sentences.", "### Contributions\n@gigant added this dataset." ]

[ 33, 8, 273, 5, 6, 25, 189, 54, 13 ]

[ "passage: TAGS\n#task_categories-automatic-speech-recognition #language-French #license-cc #region-us \n## Dataset Description\n- Homepage: URL### Dataset Summary\n\nThis corpus consists of approximately 22 hours of speech recordings. Transcripts are provided for all the recordings. The corpus can be divided into 3 parts:\n\n1. Yaounde\n\nCollected by a team from the U.S. Military Academy's Center for Technology Enhanced Language Learning (CTELL) in 2003 in Yaoundé, Cameroon. It has recordings from 84 speakers, 48 male and 36 female.\n\n2. CA16\n\nThis part was collected by a RDECOM Science Team who participated in the United Nations exercise Central Accord 16 (CA16) in Libreville, Gabon in June 2016. The Science Team included DARPA's Dr. Boyan Onyshkevich and Dr. Aaron Lawson (SRI International), as well as RDECOM scientists. It has recordings from 125 speakers from Cameroon, Chad, Congo and Gabon.\n\n3. Niger\n\nThis part was collected from 23 speakers in Niamey, Niger, Oct. 26-30 2015. These speakers were students in a course for officers and sergeants presented by Army trainers assigned to U.S. Army Africa. The data was collected by RDECOM Science & Technology Advisors Major Eddie Strimel and Mr. Bill Bergen.### Languages\n\nFrench## Dataset Structure### Data Instances\nA typical data point comprises the path to the audio file, called audio and its sentence." ]

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[ "task_categories:automatic-speech-recognition", "language:fr", "license:cc", "region:us" ]

[]

[ "fr" ]

[ "## Dataset Description\n- Homepage: URL", "### Dataset Summary\n\nThe M-AILABS Speech Dataset is the first large dataset that we are providing free-of-charge, freely usable as training data for speech recognition and speech synthesis.\n\nMost of the data is based on LibriVox and Project Gutenberg. The training data consist of nearly thousand hours of audio and the text-files in prepared format.\n\nA transcription is provided for each clip. Clips vary in length from 1 to 20 seconds and have a total length of approximately shown in the list (and in the respective URL-files) below.\n\n\nThe texts were published between 1884 and 1964, and are in the public domain. The audio was recorded by the LibriVox project and is also in the public domain – except for Ukrainian.\n\nUkrainian audio was kindly provided either by Nash Format or Gwara Media for machine learning purposes only (please check the data URL files for details).", "### Languages\n\nFrench", "## Dataset Structure", "### Data Instances\nA typical data point comprises the path to the audio file, called audio and its sentence.", "### Data Fields\n\n- audio: A dictionary containing the path to the downloaded audio file, the decoded audio array, and the sampling rate. Note that when accessing the audio column: 'dataset[0][\"audio\"]' the audio file is automatically decoded and resampled to 'dataset.features[\"audio\"].sampling_rate'. Decoding and resampling of a large number of audio files might take a significant amount of time. Thus it is important to first query the sample index before the '\"audio\"' column, *i.e.* 'dataset[0][\"audio\"]' should always be preferred over 'dataset[\"audio\"][0]'.\n\n- sentence: The sentence the user was prompted to speak", "### Data Splits\nThe speech material has not been subdivided into portions, everything is in the \"train\" split.\nThe train split consists of 82825 audio clips and the related sentences.", "### Contributions\n@gigant added this dataset." ]

[ "TAGS\n#task_categories-automatic-speech-recognition #language-French #license-cc #region-us \n", "## Dataset Description\n- Homepage: URL", "### Dataset Summary\n\nThe M-AILABS Speech Dataset is the first large dataset that we are providing free-of-charge, freely usable as training data for speech recognition and speech synthesis.\n\nMost of the data is based on LibriVox and Project Gutenberg. The training data consist of nearly thousand hours of audio and the text-files in prepared format.\n\nA transcription is provided for each clip. Clips vary in length from 1 to 20 seconds and have a total length of approximately shown in the list (and in the respective URL-files) below.\n\n\nThe texts were published between 1884 and 1964, and are in the public domain. The audio was recorded by the LibriVox project and is also in the public domain – except for Ukrainian.\n\nUkrainian audio was kindly provided either by Nash Format or Gwara Media for machine learning purposes only (please check the data URL files for details).", "### Languages\n\nFrench", "## Dataset Structure", "### Data Instances\nA typical data point comprises the path to the audio file, called audio and its sentence.", "### Data Fields\n\n- audio: A dictionary containing the path to the downloaded audio file, the decoded audio array, and the sampling rate. Note that when accessing the audio column: 'dataset[0][\"audio\"]' the audio file is automatically decoded and resampled to 'dataset.features[\"audio\"].sampling_rate'. Decoding and resampling of a large number of audio files might take a significant amount of time. Thus it is important to first query the sample index before the '\"audio\"' column, *i.e.* 'dataset[0][\"audio\"]' should always be preferred over 'dataset[\"audio\"][0]'.\n\n- sentence: The sentence the user was prompted to speak", "### Data Splits\nThe speech material has not been subdivided into portions, everything is in the \"train\" split.\nThe train split consists of 82825 audio clips and the related sentences.", "### Contributions\n@gigant added this dataset." ]

[ 33, 8, 199, 5, 6, 25, 189, 46, 13 ]

[ "passage: TAGS\n#task_categories-automatic-speech-recognition #language-French #license-cc #region-us \n## Dataset Description\n- Homepage: URL### Dataset Summary\n\nThe M-AILABS Speech Dataset is the first large dataset that we are providing free-of-charge, freely usable as training data for speech recognition and speech synthesis.\n\nMost of the data is based on LibriVox and Project Gutenberg. The training data consist of nearly thousand hours of audio and the text-files in prepared format.\n\nA transcription is provided for each clip. Clips vary in length from 1 to 20 seconds and have a total length of approximately shown in the list (and in the respective URL-files) below.\n\n\nThe texts were published between 1884 and 1964, and are in the public domain. The audio was recorded by the LibriVox project and is also in the public domain – except for Ukrainian.\n\nUkrainian audio was kindly provided either by Nash Format or Gwara Media for machine learning purposes only (please check the data URL files for details).### Languages\n\nFrench## Dataset Structure### Data Instances\nA typical data point comprises the path to the audio file, called audio and its sentence.### Data Fields\n\n- audio: A dictionary containing the path to the downloaded audio file, the decoded audio array, and the sampling rate. Note that when accessing the audio column: 'dataset[0][\"audio\"]' the audio file is automatically decoded and resampled to 'dataset.features[\"audio\"].sampling_rate'. Decoding and resampling of a large number of audio files might take a significant amount of time. Thus it is important to first query the sample index before the '\"audio\"' column, *i.e.* 'dataset[0][\"audio\"]' should always be preferred over 'dataset[\"audio\"][0]'.\n\n- sentence: The sentence the user was prompted to speak" ]

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[ "task_categories:automatic-speech-recognition", "language:ro", "license:unknown", "region:us" ]

[]

[ "ro" ]

[ "## Dataset Description\n- Homepage: URL\n- Paper: URL", "### Dataset Summary\n\nThe Romanian speech synthesis (RSS) corpus was recorded in a hemianechoic chamber (anechoic walls and ceiling; floor partially anechoic) at the University of Edinburgh. We used three high quality studio microphones: a Neumann u89i (large diaphragm condenser), a Sennheiser MKH 800 (small diaphragm condenser with very wide bandwidth) and a DPA 4035 (headset-mounted condenser). Although the current release includes only speech data recorded via Sennheiser MKH 800, we may release speech data recorded via other microphones in the future. All recordings were made at 96 kHz sampling frequency and 24 bits per sample, then downsampled to 48 kHz sampling frequency. For recording, downsampling and bit rate conversion, we used ProTools HD hardware and software. We conducted 8 sessions over the course of a month, recording about 500 sentences in each session. At the start of each session, the speaker listened to a previously recorded sample, in order to attain a similar voice quality and intonation.", "### Languages\n\nRomanian", "## Dataset Structure", "### Data Instances\nA typical data point comprises the path to the audio file, called audio and its sentence.", "### Data Fields\n\n- audio: A dictionary containing the path to the downloaded audio file, the decoded audio array, and the sampling rate. Note that when accessing the audio column: 'dataset[0][\"audio\"]' the audio file is automatically decoded and resampled to 'dataset.features[\"audio\"].sampling_rate'. Decoding and resampling of a large number of audio files might take a significant amount of time. Thus it is important to first query the sample index before the '\"audio\"' column, *i.e.* 'dataset[0][\"audio\"]' should always be preferred over 'dataset[\"audio\"][0]'.\n\n- sentence: The sentence the user was prompted to speak", "### Data Splits\nThe speech material has been subdivided into portions for train and test.\nThe train split consists of 3180 audio clips and the related sentences.\nThe test split consists of 536 audio clips and the related sentences.", "### Contributions\n@gigant added this dataset." ]

[ "TAGS\n#task_categories-automatic-speech-recognition #language-Romanian #license-unknown #region-us \n", "## Dataset Description\n- Homepage: URL\n- Paper: URL", "### Dataset Summary\n\nThe Romanian speech synthesis (RSS) corpus was recorded in a hemianechoic chamber (anechoic walls and ceiling; floor partially anechoic) at the University of Edinburgh. We used three high quality studio microphones: a Neumann u89i (large diaphragm condenser), a Sennheiser MKH 800 (small diaphragm condenser with very wide bandwidth) and a DPA 4035 (headset-mounted condenser). Although the current release includes only speech data recorded via Sennheiser MKH 800, we may release speech data recorded via other microphones in the future. All recordings were made at 96 kHz sampling frequency and 24 bits per sample, then downsampled to 48 kHz sampling frequency. For recording, downsampling and bit rate conversion, we used ProTools HD hardware and software. We conducted 8 sessions over the course of a month, recording about 500 sentences in each session. At the start of each session, the speaker listened to a previously recorded sample, in order to attain a similar voice quality and intonation.", "### Languages\n\nRomanian", "## Dataset Structure", "### Data Instances\nA typical data point comprises the path to the audio file, called audio and its sentence.", "### Data Fields\n\n- audio: A dictionary containing the path to the downloaded audio file, the decoded audio array, and the sampling rate. Note that when accessing the audio column: 'dataset[0][\"audio\"]' the audio file is automatically decoded and resampled to 'dataset.features[\"audio\"].sampling_rate'. Decoding and resampling of a large number of audio files might take a significant amount of time. Thus it is important to first query the sample index before the '\"audio\"' column, *i.e.* 'dataset[0][\"audio\"]' should always be preferred over 'dataset[\"audio\"][0]'.\n\n- sentence: The sentence the user was prompted to speak", "### Data Splits\nThe speech material has been subdivided into portions for train and test.\nThe train split consists of 3180 audio clips and the related sentences.\nThe test split consists of 536 audio clips and the related sentences.", "### Contributions\n@gigant added this dataset." ]

[ 34, 12, 268, 6, 6, 25, 189, 55, 13 ]

[ "passage: TAGS\n#task_categories-automatic-speech-recognition #language-Romanian #license-unknown #region-us \n## Dataset Description\n- Homepage: URL\n- Paper: URL### Dataset Summary\n\nThe Romanian speech synthesis (RSS) corpus was recorded in a hemianechoic chamber (anechoic walls and ceiling; floor partially anechoic) at the University of Edinburgh. We used three high quality studio microphones: a Neumann u89i (large diaphragm condenser), a Sennheiser MKH 800 (small diaphragm condenser with very wide bandwidth) and a DPA 4035 (headset-mounted condenser). Although the current release includes only speech data recorded via Sennheiser MKH 800, we may release speech data recorded via other microphones in the future. All recordings were made at 96 kHz sampling frequency and 24 bits per sample, then downsampled to 48 kHz sampling frequency. For recording, downsampling and bit rate conversion, we used ProTools HD hardware and software. We conducted 8 sessions over the course of a month, recording about 500 sentences in each session. At the start of each session, the speaker listened to a previously recorded sample, in order to attain a similar voice quality and intonation.### Languages\n\nRomanian## Dataset Structure### Data Instances\nA typical data point comprises the path to the audio file, called audio and its sentence." ]

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[ "region:us" ]

[]

[]

[]

[ "TAGS\n#region-us \n" ]

[ 6 ]

[ "passage: TAGS\n#region-us \n" ]

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[ "language:tr", "license:apache-2.0", "dataset", "turkish", "ted-multi", "cleaned", "region:us" ]

[]

[ "tr" ]

[ "# Turkish Ted talk translations", "# Created from ted-multi dataset\n\nadding processing steps here if you want another language" ]

[ "TAGS\n#language-Turkish #license-apache-2.0 #dataset #turkish #ted-multi #cleaned #region-us \n", "# Turkish Ted talk translations", "# Created from ted-multi dataset\n\nadding processing steps here if you want another language" ]

[ 34, 7, 20 ]

[ "passage: TAGS\n#language-Turkish #license-apache-2.0 #dataset #turkish #ted-multi #cleaned #region-us \n# Turkish Ted talk translations# Created from ted-multi dataset\n\nadding processing steps here if you want another language" ]

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[ "task_categories:summarization", "task_categories:text-generation", "annotations_creators:no-annotation", "language_creators:found", "multilinguality:monolingual", "size_categories:unknown", "source_datasets:original", "language:it", "license:cc-by-nc-sa-4.0", "conditional-text-generation", "style-transfer", "region:us" ]

[]

[ "it" ]

[ "### Dataset Summary\n\n\nThe CHANGE-IT dataset contains approximately 152,000 article-headline pairs, collected from two Italian newspapers situated at opposite ends of the political spectrum, namely la Repubblica (left) and Il Giornale (right), with the two newspapers equally represented. The dataset has been used in the context\nof the CHANGE-IT task during the Evalita 2020 evaluation campaign. CHANGE-IT is a generation task for Italian – more specifically, a style transfer task for headlines of Italian newspapers. Given a (collection of) headlines from one newspaper, namely Il Giornale (G) or La Repubblica (R), it challenges automatic systems to change all G-headlines to headlines in style R, and all R-headlines to headlines in style G. Although the task only concerns headline change, the dataset comprehends both the headlines as well as their respective full articles.\n\n\nDisclaimer: *The CHANGE-IT dataset is hosted by the European Language Grid and licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. To use the dataset using* *Datasets, download and unzip the folder from its ELG page and pass it to the* 'load\\_dataset' *method as:* 'datasets.load\\_dataset('gsarti/change\\_it', data\\_dir='path/to/unzipped/folder')'", "### Supported Tasks and Leaderboards", "#### Style Transfer\n\n\nThe following table is taken from Table 4 of the original paper, where a *pointer-network* architecture is used as a baseline to perform style transfer in two settings. In the rep2gio variant the system is trained to summarize Repubblica headlines from full texts (vice versa for gio2rep), and the style transfer is performed by summarizing full texts of the other newspaper in the source newspaper's headline style. avg is the average of the two settings.\n\n\n\nHere Main, HH and AH are all BERT-base models trained to evaluate the quality of style transfer as follows:\n\n\n* Main: the model is trained to classify a generated headline either as 'ilgiornale' or 'repubblica', achieving ~80% F1 score on gold data. Tests whether the transfer has been successful.\n* Headline-Headline (HH): the model is trained to check the compatibility between original and generated headlines. Tests whether the generation is coherent with the reference.\n* Article-Headline (AH): the model is trained to check the compatibility between original fulltext article and generated headlines. Tests whether the generation is coherent with the source article.\n\n\nThe final metric, Overall compliancy, is a binary metric that is positive if the other three metrics match (Main decision is reversed, HH and AH predict match), and negative otherwise. Refer to Section 3 of the original paper for more details.", "### Languages\n\n\nThe language data in CHANGE-IT is in Italian (BCP-47 'it')\n\n\nDataset Structure\n-----------------", "### Data Instances\n\n\nA sample from the 'test' split of the 'ilgiornale' config is provided below. The other configuration, 'ilgiornale', has the same structure.\n\n\nThe text is provided as-is, without further preprocessing or tokenization.", "### Data Fields\n\n\n* 'headline': The original headline for the newspaper.\n* 'full\\_text': The article full text associated to the respective headline.\n* 'alignment': The alignment value used for the style transfer experiments. Values:\n\t+ 'A1': Top 5K pairs, highly aligned.\n\t+ 'A2': Test set, highly aligned.\n\t+ 'A3': 10K to 20K pairs, fairly aligned.\n\t+ 'R': Bottom ~50K pairs, weakly/not aligned.", "### Data Splits", "### Dataset Creation\n\n\nPlease refer to the original article CHANGE-IT @ EVALITA 2020: Change Headlines, Adapt News, GEnerate for additional information on dataset creation.\n\n\nAdditional Information\n----------------------", "### Dataset Curators\n\n\nThe organizers of the CHANGE-IT shared tasks are the curators of the original dataset. For problems or updates on the Datasets version, please contact gabriele.sarti996@URL.", "### Licensing Information\n\n\nLicensed with Creative Commons Attribution Non Commercial Share Alike 4.0. License available here.\n\n\nPlease cite the authors if you use these corpora in your work:\n\n\n'''\n@inproceedings{demattei-etal-2020-changeit,\nauthor = {De Mattei, Lorenzo and Cafagna, Michele and Dell'Orletta, Felice and Nissim, Malvina and Gatt, Albert},\ntitle = {{CHANGE-IT @ EVALITA 2020}: Change Headlines, Adapt News, GEnerate},\nbooktitle = {Proceedings of Seventh Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2020)},\neditor = {Basile, Valerio and Croce, Danilo and Di Maro, Maria, and Passaro, Lucia C.},\npublisher = {URL},\nyear = {2020},\naddress = {Online}\n}" ]

[ "TAGS\n#task_categories-summarization #task_categories-text-generation #annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #size_categories-unknown #source_datasets-original #language-Italian #license-cc-by-nc-sa-4.0 #conditional-text-generation #style-transfer #region-us \n", "### Dataset Summary\n\n\nThe CHANGE-IT dataset contains approximately 152,000 article-headline pairs, collected from two Italian newspapers situated at opposite ends of the political spectrum, namely la Repubblica (left) and Il Giornale (right), with the two newspapers equally represented. The dataset has been used in the context\nof the CHANGE-IT task during the Evalita 2020 evaluation campaign. CHANGE-IT is a generation task for Italian – more specifically, a style transfer task for headlines of Italian newspapers. Given a (collection of) headlines from one newspaper, namely Il Giornale (G) or La Repubblica (R), it challenges automatic systems to change all G-headlines to headlines in style R, and all R-headlines to headlines in style G. Although the task only concerns headline change, the dataset comprehends both the headlines as well as their respective full articles.\n\n\nDisclaimer: *The CHANGE-IT dataset is hosted by the European Language Grid and licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. To use the dataset using* *Datasets, download and unzip the folder from its ELG page and pass it to the* 'load\\_dataset' *method as:* 'datasets.load\\_dataset('gsarti/change\\_it', data\\_dir='path/to/unzipped/folder')'", "### Supported Tasks and Leaderboards", "#### Style Transfer\n\n\nThe following table is taken from Table 4 of the original paper, where a *pointer-network* architecture is used as a baseline to perform style transfer in two settings. In the rep2gio variant the system is trained to summarize Repubblica headlines from full texts (vice versa for gio2rep), and the style transfer is performed by summarizing full texts of the other newspaper in the source newspaper's headline style. avg is the average of the two settings.\n\n\n\nHere Main, HH and AH are all BERT-base models trained to evaluate the quality of style transfer as follows:\n\n\n* Main: the model is trained to classify a generated headline either as 'ilgiornale' or 'repubblica', achieving ~80% F1 score on gold data. Tests whether the transfer has been successful.\n* Headline-Headline (HH): the model is trained to check the compatibility between original and generated headlines. Tests whether the generation is coherent with the reference.\n* Article-Headline (AH): the model is trained to check the compatibility between original fulltext article and generated headlines. Tests whether the generation is coherent with the source article.\n\n\nThe final metric, Overall compliancy, is a binary metric that is positive if the other three metrics match (Main decision is reversed, HH and AH predict match), and negative otherwise. Refer to Section 3 of the original paper for more details.", "### Languages\n\n\nThe language data in CHANGE-IT is in Italian (BCP-47 'it')\n\n\nDataset Structure\n-----------------", "### Data Instances\n\n\nA sample from the 'test' split of the 'ilgiornale' config is provided below. The other configuration, 'ilgiornale', has the same structure.\n\n\nThe text is provided as-is, without further preprocessing or tokenization.", "### Data Fields\n\n\n* 'headline': The original headline for the newspaper.\n* 'full\\_text': The article full text associated to the respective headline.\n* 'alignment': The alignment value used for the style transfer experiments. Values:\n\t+ 'A1': Top 5K pairs, highly aligned.\n\t+ 'A2': Test set, highly aligned.\n\t+ 'A3': 10K to 20K pairs, fairly aligned.\n\t+ 'R': Bottom ~50K pairs, weakly/not aligned.", "### Data Splits", "### Dataset Creation\n\n\nPlease refer to the original article CHANGE-IT @ EVALITA 2020: Change Headlines, Adapt News, GEnerate for additional information on dataset creation.\n\n\nAdditional Information\n----------------------", "### Dataset Curators\n\n\nThe organizers of the CHANGE-IT shared tasks are the curators of the original dataset. For problems or updates on the Datasets version, please contact gabriele.sarti996@URL.", "### Licensing Information\n\n\nLicensed with Creative Commons Attribution Non Commercial Share Alike 4.0. License available here.\n\n\nPlease cite the authors if you use these corpora in your work:\n\n\n'''\n@inproceedings{demattei-etal-2020-changeit,\nauthor = {De Mattei, Lorenzo and Cafagna, Michele and Dell'Orletta, Felice and Nissim, Malvina and Gatt, Albert},\ntitle = {{CHANGE-IT @ EVALITA 2020}: Change Headlines, Adapt News, GEnerate},\nbooktitle = {Proceedings of Seventh Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2020)},\neditor = {Basile, Valerio and Croce, Danilo and Di Maro, Maria, and Passaro, Lucia C.},\npublisher = {URL},\nyear = {2020},\naddress = {Online}\n}" ]

[ 103, 330, 10, 332, 31, 62, 128, 5, 48, 52, 208 ]

[ "passage: TAGS\n#task_categories-summarization #task_categories-text-generation #annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #size_categories-unknown #source_datasets-original #language-Italian #license-cc-by-nc-sa-4.0 #conditional-text-generation #style-transfer #region-us \n### Dataset Summary\n\n\nThe CHANGE-IT dataset contains approximately 152,000 article-headline pairs, collected from two Italian newspapers situated at opposite ends of the political spectrum, namely la Repubblica (left) and Il Giornale (right), with the two newspapers equally represented. The dataset has been used in the context\nof the CHANGE-IT task during the Evalita 2020 evaluation campaign. CHANGE-IT is a generation task for Italian – more specifically, a style transfer task for headlines of Italian newspapers. Given a (collection of) headlines from one newspaper, namely Il Giornale (G) or La Repubblica (R), it challenges automatic systems to change all G-headlines to headlines in style R, and all R-headlines to headlines in style G. Although the task only concerns headline change, the dataset comprehends both the headlines as well as their respective full articles.\n\n\nDisclaimer: *The CHANGE-IT dataset is hosted by the European Language Grid and licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. To use the dataset using* *Datasets, download and unzip the folder from its ELG page and pass it to the* 'load\\_dataset' *method as:* 'datasets.load\\_dataset('gsarti/change\\_it', data\\_dir='path/to/unzipped/folder')'### Supported Tasks and Leaderboards", "passage: #### Style Transfer\n\n\nThe following table is taken from Table 4 of the original paper, where a *pointer-network* architecture is used as a baseline to perform style transfer in two settings. In the rep2gio variant the system is trained to summarize Repubblica headlines from full texts (vice versa for gio2rep), and the style transfer is performed by summarizing full texts of the other newspaper in the source newspaper's headline style. avg is the average of the two settings.\n\n\n\nHere Main, HH and AH are all BERT-base models trained to evaluate the quality of style transfer as follows:\n\n\n* Main: the model is trained to classify a generated headline either as 'ilgiornale' or 'repubblica', achieving ~80% F1 score on gold data. Tests whether the transfer has been successful.\n* Headline-Headline (HH): the model is trained to check the compatibility between original and generated headlines. Tests whether the generation is coherent with the reference.\n* Article-Headline (AH): the model is trained to check the compatibility between original fulltext article and generated headlines. Tests whether the generation is coherent with the source article.\n\n\nThe final metric, Overall compliancy, is a binary metric that is positive if the other three metrics match (Main decision is reversed, HH and AH predict match), and negative otherwise. Refer to Section 3 of the original paper for more details.### Languages\n\n\nThe language data in CHANGE-IT is in Italian (BCP-47 'it')\n\n\nDataset Structure\n-----------------### Data Instances\n\n\nA sample from the 'test' split of the 'ilgiornale' config is provided below. The other configuration, 'ilgiornale', has the same structure.\n\n\nThe text is provided as-is, without further preprocessing or tokenization.### Data Fields\n\n\n* 'headline': The original headline for the newspaper.\n* 'full\\_text': The article full text associated to the respective headline.\n* 'alignment': The alignment value used for the style transfer experiments. Values:\n\t+ 'A1': Top 5K pairs, highly aligned.\n\t+ 'A2': Test set, highly aligned.\n\t+ 'A3': 10K to 20K pairs, fairly aligned.\n\t+ 'R': Bottom ~50K pairs, weakly/not aligned.### Data Splits### Dataset Creation\n\n\nPlease refer to the original article CHANGE-IT @ EVALITA 2020: Change Headlines, Adapt News, GEnerate for additional information on dataset creation.\n\n\nAdditional Information\n----------------------### Dataset Curators\n\n\nThe organizers of the CHANGE-IT shared tasks are the curators of the original dataset. For problems or updates on the Datasets version, please contact gabriele.sarti996@URL." ]

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[ "task_categories:text-generation", "task_ids:language-modeling", "annotations_creators:no-annotation", "language_creators:found", "multilinguality:monolingual", "source_datasets:extended", "language:it", "license:odc-by", "arxiv:1910.10683", "arxiv:2203.03759", "region:us" ]

[ "1910.10683", "2203.03759" ]

[ "it" ]

[ "### Dataset Summary\n\n\nA thoroughly cleaned version of the Italian split of the multilingual colossal, cleaned version of Common Crawl's web crawl corpus (mC4). Based on the Common Crawl dataset. The original version was prepared by AllenAI, hosted at the address URL with subsequent preprocessing performed by Gabriele Sarti following a standard procedure for all dataset shards.", "### Preprocessing\n\n\nThe preprocessing of the dataset follows the procedure used by Yeb Havinga for training the model 't5-base-dutch' on a portion of the cleaned Dutch split of mC4. The original code, that was adapted for Italian in this case, is available on GitLab. In summary, the preprocessing procedure includes:\n\n\n* Removing documents containing words from a selection of the Italian and English List of Dirty Naught Obscene and Otherwise Bad Words.\n* Removing sentences containing:\n\n\n\t+ Less than 3 words.\n\t+ A word longer than 1000 characters.\n\t+ An end symbol not matching end-of-sentence punctuation.\n\t+ Strings associated to javascript code (e.g. '{'), lorem ipsum, policy information in Italian or English.\n* Removing documents (after sentence filtering):\n\n\n\t+ Containing less than 5 sentences.\n\t+ Containing less than 500 or more than 50'000 characters.\n\t+ Not identified as prevalently Italian by the 'LangDetect' package.\n\n\nUsing parallel processing with 96 CPU cores on a TPUv3 via Google Cloud to perform the complete clean of all the original Italian shards of mC4 (1024 of ~220Mb train, 8 of ~24Mb validation) required roughly 10 hours due to the demanding steps of sentence tokenization and language detection. The total size of compressed '.URL' files is roughly halved after the procedure.\n\n\nDataset Structure\n-----------------", "### Data Instances\n\n\nAn example from the dataset:", "### Data Fields\n\n\nThe data contains the following fields:\n\n\n* 'url': url of the source as a string\n* 'text': text content as a string\n* 'timestamp': timestamp of extraction as a string", "### Data Splits\n\n\nTo build mC4, the original authors used CLD3 to identify over 100 languages. For Italian, the whole corpus of scraped text was divided in '1032' jsonl files, '1024' for training following the naming style 'URL' and 8 for validation following the naming style 'URL'. The full set of preprocessed files takes roughly 215GB of disk space to download with Git LFS.\n\n\nFor ease of use under different storage capacities, the following incremental splits are available (sizes are estimates). Important: The sizes in GB represent the estimated weight for :\n\n\n\nYou can load any subset like this:\n\n\nSince splits are quite large, you may want to traverse them using the streaming mode available starting from Datasets v1.9.0:\n\n\nDataset Creation\n----------------\n\n\nRefer to the original paper for more considerations regarding the choice of sources and the scraping process for creating 'mC4'.\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset\n\n\nWith more than 200GB of cleaned Italian text and more than 41B estimated words, this is by far the largest available corpus for the Italian language. The second largest dataset available is OSCAR, which is only 69GB in size for its deduplicated variant. Using this corpus for training language models with adequate computational resources will allow researchers to reach parity with the performances observed for the English language. This can in turn have important repercussions for the development of commercial language technology applications for the Italian language.", "### Discussion of Biases\n\n\nDespit the cleaning procedure aimed at removing vulgarity and profanity, it must be considered that model trained on this scraped corpus will inevitably reflect biases present in blog articles and comments on the Internet. This makes the corpus especially interesting in the context of studying data biases and how to limit their impacts.\n\n\nAdditional Information\n----------------------", "### Dataset Curators\n\n\nAuthors at AllenAI are the original curators for the 'mc4' corpus. For inquiries or requests regarding the Italian cleaned portion contained in this repository, please contact me at gabriele.sarti996@URL", "### Licensing Information\n\n\nAllenAI are releasing this dataset under the terms of ODC-BY. By using this, you are also bound by the Common Crawl terms of use in respect of the content contained in the dataset.\n\n\nIf you use this dataset in your work, please cite us and the original mC4 authors as:", "### Contributions\n\n\nThanks to @dirkgr and @lhoestq for adding this dataset." ]

[ "TAGS\n#task_categories-text-generation #task_ids-language-modeling #annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #source_datasets-extended #language-Italian #license-odc-by #arxiv-1910.10683 #arxiv-2203.03759 #region-us \n", "### Dataset Summary\n\n\nA thoroughly cleaned version of the Italian split of the multilingual colossal, cleaned version of Common Crawl's web crawl corpus (mC4). Based on the Common Crawl dataset. The original version was prepared by AllenAI, hosted at the address URL with subsequent preprocessing performed by Gabriele Sarti following a standard procedure for all dataset shards.", "### Preprocessing\n\n\nThe preprocessing of the dataset follows the procedure used by Yeb Havinga for training the model 't5-base-dutch' on a portion of the cleaned Dutch split of mC4. The original code, that was adapted for Italian in this case, is available on GitLab. In summary, the preprocessing procedure includes:\n\n\n* Removing documents containing words from a selection of the Italian and English List of Dirty Naught Obscene and Otherwise Bad Words.\n* Removing sentences containing:\n\n\n\t+ Less than 3 words.\n\t+ A word longer than 1000 characters.\n\t+ An end symbol not matching end-of-sentence punctuation.\n\t+ Strings associated to javascript code (e.g. '{'), lorem ipsum, policy information in Italian or English.\n* Removing documents (after sentence filtering):\n\n\n\t+ Containing less than 5 sentences.\n\t+ Containing less than 500 or more than 50'000 characters.\n\t+ Not identified as prevalently Italian by the 'LangDetect' package.\n\n\nUsing parallel processing with 96 CPU cores on a TPUv3 via Google Cloud to perform the complete clean of all the original Italian shards of mC4 (1024 of ~220Mb train, 8 of ~24Mb validation) required roughly 10 hours due to the demanding steps of sentence tokenization and language detection. The total size of compressed '.URL' files is roughly halved after the procedure.\n\n\nDataset Structure\n-----------------", "### Data Instances\n\n\nAn example from the dataset:", "### Data Fields\n\n\nThe data contains the following fields:\n\n\n* 'url': url of the source as a string\n* 'text': text content as a string\n* 'timestamp': timestamp of extraction as a string", "### Data Splits\n\n\nTo build mC4, the original authors used CLD3 to identify over 100 languages. For Italian, the whole corpus of scraped text was divided in '1032' jsonl files, '1024' for training following the naming style 'URL' and 8 for validation following the naming style 'URL'. The full set of preprocessed files takes roughly 215GB of disk space to download with Git LFS.\n\n\nFor ease of use under different storage capacities, the following incremental splits are available (sizes are estimates). Important: The sizes in GB represent the estimated weight for :\n\n\n\nYou can load any subset like this:\n\n\nSince splits are quite large, you may want to traverse them using the streaming mode available starting from Datasets v1.9.0:\n\n\nDataset Creation\n----------------\n\n\nRefer to the original paper for more considerations regarding the choice of sources and the scraping process for creating 'mC4'.\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset\n\n\nWith more than 200GB of cleaned Italian text and more than 41B estimated words, this is by far the largest available corpus for the Italian language. The second largest dataset available is OSCAR, which is only 69GB in size for its deduplicated variant. Using this corpus for training language models with adequate computational resources will allow researchers to reach parity with the performances observed for the English language. This can in turn have important repercussions for the development of commercial language technology applications for the Italian language.", "### Discussion of Biases\n\n\nDespit the cleaning procedure aimed at removing vulgarity and profanity, it must be considered that model trained on this scraped corpus will inevitably reflect biases present in blog articles and comments on the Internet. This makes the corpus especially interesting in the context of studying data biases and how to limit their impacts.\n\n\nAdditional Information\n----------------------", "### Dataset Curators\n\n\nAuthors at AllenAI are the original curators for the 'mc4' corpus. For inquiries or requests regarding the Italian cleaned portion contained in this repository, please contact me at gabriele.sarti996@URL", "### Licensing Information\n\n\nAllenAI are releasing this dataset under the terms of ODC-BY. By using this, you are also bound by the Common Crawl terms of use in respect of the content contained in the dataset.\n\n\nIf you use this dataset in your work, please cite us and the original mC4 authors as:", "### Contributions\n\n\nThanks to @dirkgr and @lhoestq for adding this dataset." ]

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[ "passage: TAGS\n#task_categories-text-generation #task_ids-language-modeling #annotations_creators-no-annotation #language_creators-found #multilinguality-monolingual #source_datasets-extended #language-Italian #license-odc-by #arxiv-1910.10683 #arxiv-2203.03759 #region-us \n### Dataset Summary\n\n\nA thoroughly cleaned version of the Italian split of the multilingual colossal, cleaned version of Common Crawl's web crawl corpus (mC4). Based on the Common Crawl dataset. The original version was prepared by AllenAI, hosted at the address URL with subsequent preprocessing performed by Gabriele Sarti following a standard procedure for all dataset shards.", "passage: ### Preprocessing\n\n\nThe preprocessing of the dataset follows the procedure used by Yeb Havinga for training the model 't5-base-dutch' on a portion of the cleaned Dutch split of mC4. The original code, that was adapted for Italian in this case, is available on GitLab. In summary, the preprocessing procedure includes:\n\n\n* Removing documents containing words from a selection of the Italian and English List of Dirty Naught Obscene and Otherwise Bad Words.\n* Removing sentences containing:\n\n\n\t+ Less than 3 words.\n\t+ A word longer than 1000 characters.\n\t+ An end symbol not matching end-of-sentence punctuation.\n\t+ Strings associated to javascript code (e.g. '{'), lorem ipsum, policy information in Italian or English.\n* Removing documents (after sentence filtering):\n\n\n\t+ Containing less than 5 sentences.\n\t+ Containing less than 500 or more than 50'000 characters.\n\t+ Not identified as prevalently Italian by the 'LangDetect' package.\n\n\nUsing parallel processing with 96 CPU cores on a TPUv3 via Google Cloud to perform the complete clean of all the original Italian shards of mC4 (1024 of ~220Mb train, 8 of ~24Mb validation) required roughly 10 hours due to the demanding steps of sentence tokenization and language detection. The total size of compressed '.URL' files is roughly halved after the procedure.\n\n\nDataset Structure\n-----------------### Data Instances\n\n\nAn example from the dataset:### Data Fields\n\n\nThe data contains the following fields:\n\n\n* 'url': url of the source as a string\n* 'text': text content as a string\n* 'timestamp': timestamp of extraction as a string### Data Splits\n\n\nTo build mC4, the original authors used CLD3 to identify over 100 languages. For Italian, the whole corpus of scraped text was divided in '1032' jsonl files, '1024' for training following the naming style 'URL' and 8 for validation following the naming style 'URL'. The full set of preprocessed files takes roughly 215GB of disk space to download with Git LFS.\n\n\nFor ease of use under different storage capacities, the following incremental splits are available (sizes are estimates). Important: The sizes in GB represent the estimated weight for :\n\n\n\nYou can load any subset like this:\n\n\nSince splits are quite large, you may want to traverse them using the streaming mode available starting from Datasets v1.9.0:\n\n\nDataset Creation\n----------------\n\n\nRefer to the original paper for more considerations regarding the choice of sources and the scraping process for creating 'mC4'.\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset\n\n\nWith more than 200GB of cleaned Italian text and more than 41B estimated words, this is by far the largest available corpus for the Italian language. The second largest dataset available is OSCAR, which is only 69GB in size for its deduplicated variant. Using this corpus for training language models with adequate computational resources will allow researchers to reach parity with the performances observed for the English language. This can in turn have important repercussions for the development of commercial language technology applications for the Italian language.### Discussion of Biases\n\n\nDespit the cleaning procedure aimed at removing vulgarity and profanity, it must be considered that model trained on this scraped corpus will inevitably reflect biases present in blog articles and comments on the Internet. This makes the corpus especially interesting in the context of studying data biases and how to limit their impacts.\n\n\nAdditional Information\n----------------------" ]

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[ "task_categories:text-generation", "task_categories:translation", "annotations_creators:found", "language_creators:expert-generated", "multilinguality:multilingual", "multilinguality:translation", "size_categories:unknown", "source_datasets:extended|flores", "language:af", "language:am", "language:ar", "language:hy", "language:as", "language:ast", "language:az", "language:be", "language:bn", "language:bs", "language:bg", "language:my", "language:ca", "language:ceb", "language:zho", "language:hr", "language:cs", "language:da", "language:nl", "language:en", "language:et", "language:tl", "language:fi", "language:fr", "language:ff", "language:gl", "language:lg", "language:ka", "language:de", "language:el", "language:gu", "language:ha", "language:he", "language:hi", "language:hu", "language:is", "language:ig", "language:id", "language:ga", "language:it", "language:ja", "language:jv", "language:kea", "language:kam", "language:kn", "language:kk", "language:km", "language:ko", "language:ky", "language:lo", "language:lv", "language:ln", "language:lt", "language:luo", "language:lb", "language:mk", "language:ms", "language:ml", "language:mt", "language:mi", "language:mr", "language:mn", "language:ne", "language:ns", "language:no", "language:ny", "language:oc", "language:or", "language:om", "language:ps", "language:fa", "language:pl", "language:pt", "language:pa", "language:ro", "language:ru", "language:sr", "language:sn", "language:sd", "language:sk", "language:sl", "language:so", "language:ku", "language:es", "language:sw", "language:sv", "language:tg", "language:ta", "language:te", "language:th", "language:tr", "language:uk", "language:umb", "language:ur", "language:uz", "language:vi", "language:cy", "language:wo", "language:xh", "language:yo", "language:zu", "license:cc-by-sa-4.0", "conditional-text-generation", "arxiv:2106.03193", "region:us" ]

[ "2106.03193" ]

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[ "### Dataset Summary\n\n\nFLORES is a benchmark dataset for machine translation between English and low-resource languages.\n\n\nAbstract from the original paper:\n\n\n\n> \n> One of the biggest challenges hindering progress in low-resource and multilingual machine translation is the lack of good evaluation benchmarks. Current evaluation benchmarks either lack good coverage of low-resource languages, consider only restricted domains, or are low quality because they are constructed using semi-automatic procedures. In this work, we introduce the FLORES evaluation benchmark, consisting of 3001 sentences extracted from English Wikipedia and covering a variety of different topics and domains. These sentences have been translated in 101 languages by professional translators through a carefully controlled process. The resulting dataset enables better assessment of model quality on the long tail of low-resource languages, including the evaluation of many-to-many multilingual translation systems, as all translations are multilingually aligned. By publicly releasing such a high-quality and high-coverage dataset, we hope to foster progress in the machine translation community and beyond.\n> \n> \n> \n\n\nDisclaimer: \\*The Flores-101 dataset is hosted by the Facebook and licensed under the Creative Commons Attribution-ShareAlike 4.0 International License.", "### Supported Tasks and Leaderboards", "#### Multilingual Machine Translation\n\n\nRefer to the Dynabench leaderboard) for additional details on model evaluation on FLORES-101 in the context of the WMT2021 shared task on Large-Scale Multilingual Machine Translation.", "### Languages\n\n\nThe dataset contains parallel sentences for 101 languages, as mentioned in the original Github page for the project. Languages are identified with the ISO 639-3 code (e.g. 'eng', 'fra', 'rus') as in the original dataset.\n\n\nNew: Use the configuration 'all' to access the full set of parallel sentences for all the available languages in a single command.\n\n\nDataset Structure\n-----------------", "### Data Instances\n\n\nA sample from the 'dev' split for the Russian language ('rus' config) is provided below. All configurations have the same structure, and all sentences are aligned across configurations and splits.\n\n\nThe text is provided as-in the original dataset, without further preprocessing or tokenization.", "### Data Fields\n\n\n* 'id': Row number for the data entry, starting at 1.\n* 'sentence': The full sentence in the specific language.\n* 'URL': The URL for the English article from which the sentence was extracted.\n* 'domain': The domain of the sentence.\n* 'topic': The topic of the sentence.\n* 'has\\_image': Whether the original article contains an image.\n* 'has\\_hyperlink': Whether the sentence contains a hyperlink.", "### Data Splits", "### Dataset Creation\n\n\nPlease refer to the original article The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation for additional information on dataset creation.\n\n\nAdditional Information\n----------------------", "### Dataset Curators\n\n\nThe original authors of FLORES-101 are the curators of the original dataset. For problems or updates on this Datasets version, please contact gabriele.sarti996@URL.", "### Licensing Information\n\n\nLicensed with Creative Commons Attribution Share Alike 4.0. License available here.\n\n\nPlease cite the authors if you use these corpora in your work:" ]

[ "TAGS\n#task_categories-text-generation #task_categories-translation #annotations_creators-found #language_creators-expert-generated #multilinguality-multilingual #multilinguality-translation #size_categories-unknown #source_datasets-extended|flores #language-Afrikaans #language-Amharic #language-Arabic #language-Armenian #language-Assamese #language-Asturian #language-Azerbaijani #language-Belarusian #language-Bengali #language-Bosnian #language-Bulgarian #language-Burmese #language-Catalan #language-Cebuano #language-Chinese #language-Croatian #language-Czech #language-Danish #language-Dutch #language-English #language-Estonian #language-Tagalog #language-Finnish #language-French #language-Fulah #language-Galician #language-Ganda #language-Georgian #language-German #language-Modern Greek (1453-) #language-Gujarati #language-Hausa #language-Hebrew #language-Hindi #language-Hungarian #language-Icelandic #language-Igbo #language-Indonesian #language-Irish #language-Italian #language-Japanese #language-Javanese #language-Kabuverdianu #language-Kamba (Kenya) #language-Kannada #language-Kazakh #language-Khmer #language-Korean #language-Kirghiz #language-Lao #language-Latvian #language-Lingala #language-Lithuanian #language-Luo (Kenya and Tanzania) #language-Luxembourgish #language-Macedonian #language-Malay (macrolanguage) #language-Malayalam #language-Maltese #language-Maori #language-Marathi #language-Mongolian #language-Nepali (macrolanguage) #language-ns #language-Norwegian #language-Nyanja #language-Occitan (post 1500) #language-Oriya (macrolanguage) #language-Oromo #language-Pushto #language-Persian #language-Polish #language-Portuguese #language-Panjabi #language-Romanian #language-Russian #language-Serbian #language-Shona #language-Sindhi #language-Slovak #language-Slovenian #language-Somali #language-Kurdish #language-Spanish #language-Swahili (macrolanguage) #language-Swedish #language-Tajik #language-Tamil #language-Telugu #language-Thai #language-Turkish #language-Ukrainian #language-Umbundu #language-Urdu #language-Uzbek #language-Vietnamese #language-Welsh #language-Wolof #language-Xhosa #language-Yoruba #language-Zulu #license-cc-by-sa-4.0 #conditional-text-generation #arxiv-2106.03193 #region-us \n", "### Dataset Summary\n\n\nFLORES is a benchmark dataset for machine translation between English and low-resource languages.\n\n\nAbstract from the original paper:\n\n\n\n> \n> One of the biggest challenges hindering progress in low-resource and multilingual machine translation is the lack of good evaluation benchmarks. Current evaluation benchmarks either lack good coverage of low-resource languages, consider only restricted domains, or are low quality because they are constructed using semi-automatic procedures. In this work, we introduce the FLORES evaluation benchmark, consisting of 3001 sentences extracted from English Wikipedia and covering a variety of different topics and domains. These sentences have been translated in 101 languages by professional translators through a carefully controlled process. The resulting dataset enables better assessment of model quality on the long tail of low-resource languages, including the evaluation of many-to-many multilingual translation systems, as all translations are multilingually aligned. By publicly releasing such a high-quality and high-coverage dataset, we hope to foster progress in the machine translation community and beyond.\n> \n> \n> \n\n\nDisclaimer: \\*The Flores-101 dataset is hosted by the Facebook and licensed under the Creative Commons Attribution-ShareAlike 4.0 International License.", "### Supported Tasks and Leaderboards", "#### Multilingual Machine Translation\n\n\nRefer to the Dynabench leaderboard) for additional details on model evaluation on FLORES-101 in the context of the WMT2021 shared task on Large-Scale Multilingual Machine Translation.", "### Languages\n\n\nThe dataset contains parallel sentences for 101 languages, as mentioned in the original Github page for the project. Languages are identified with the ISO 639-3 code (e.g. 'eng', 'fra', 'rus') as in the original dataset.\n\n\nNew: Use the configuration 'all' to access the full set of parallel sentences for all the available languages in a single command.\n\n\nDataset Structure\n-----------------", "### Data Instances\n\n\nA sample from the 'dev' split for the Russian language ('rus' config) is provided below. All configurations have the same structure, and all sentences are aligned across configurations and splits.\n\n\nThe text is provided as-in the original dataset, without further preprocessing or tokenization.", "### Data Fields\n\n\n* 'id': Row number for the data entry, starting at 1.\n* 'sentence': The full sentence in the specific language.\n* 'URL': The URL for the English article from which the sentence was extracted.\n* 'domain': The domain of the sentence.\n* 'topic': The topic of the sentence.\n* 'has\\_image': Whether the original article contains an image.\n* 'has\\_hyperlink': Whether the sentence contains a hyperlink.", "### Data Splits", "### Dataset Creation\n\n\nPlease refer to the original article The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation for additional information on dataset creation.\n\n\nAdditional Information\n----------------------", "### Dataset Curators\n\n\nThe original authors of FLORES-101 are the curators of the original dataset. For problems or updates on this Datasets version, please contact gabriele.sarti996@URL.", "### Licensing Information\n\n\nLicensed with Creative Commons Attribution Share Alike 4.0. License available here.\n\n\nPlease cite the authors if you use these corpora in your work:" ]

[ 706, 282, 10, 48, 100, 73, 112, 5, 48, 48, 35 ]

[ "passage: ", "passage: TAGS\n#task_categories-text-generation #task_categories-translation #annotations_creators-found #language_creators-expert-generated #multilinguality-multilingual #multilinguality-translation #size_categories-unknown #source_datasets-extended|flores #language-Afrikaans #language-Amharic #language-Arabic #language-Armenian #language-Assamese #language-Asturian #language-Azerbaijani #language-Belarusian #language-Bengali #language-Bosnian #language-Bulgarian #language-Burmese #language-Catalan #language-Cebuano #language-Chinese #language-Croatian #language-Czech #language-Danish #language-Dutch #language-English #language-Estonian #language-Tagalog #language-Finnish #language-French #language-Fulah #language-Galician #language-Ganda #language-Georgian #language-German #language-Modern Greek (1453-) #language-Gujarati #language-Hausa #language-Hebrew #language-Hindi #language-Hungarian #language-Icelandic #language-Igbo #language-Indonesian #language-Irish #language-Italian #language-Japanese #language-Javanese #language-Kabuverdianu #language-Kamba (Kenya) #language-Kannada #language-Kazakh #language-Khmer #language-Korean #language-Kirghiz #language-Lao #language-Latvian #language-Lingala #language-Lithuanian #language-Luo (Kenya and Tanzania) #language-Luxembourgish #language-Macedonian #language-Malay (macrolanguage) #language-Malayalam #language-Maltese #language-Maori #language-Marathi #language-Mongolian #language-Nepali (macrolanguage) #language-ns #language-Norwegian #language-Nyanja #language-Occitan (post 1500) #language-Oriya (macrolanguage) #language-Oromo #language-Pushto #language-Persian #language-Polish #language-Portuguese #language-Panjabi #language-Romanian #language-Russian #language-Serbian #language-Shona #language-Sindhi #language-Slovak #language-Slovenian #language-Somali #language-Kurdish #language-Spanish #language-Swahili (macrolanguage) #language-Swedish #language-Tajik #language-Tamil #language-Telugu #language-Thai #language-Turkish #language-Ukrainian #language-Umbundu #language-Urdu #language-Uzbek #language-Vietnamese #language-Welsh #language-Wolof #language-Xhosa #language-Yoruba #language-Zulu #license-cc-by-sa-4.0 #conditional-text-generation #arxiv-2106.03193 #region-us \n### Dataset Summary\n\n\nFLORES is a benchmark dataset for machine translation between English and low-resource languages.\n\n\nAbstract from the original paper:\n\n\n\n> \n> One of the biggest challenges hindering progress in low-resource and multilingual machine translation is the lack of good evaluation benchmarks. Current evaluation benchmarks either lack good coverage of low-resource languages, consider only restricted domains, or are low quality because they are constructed using semi-automatic procedures. In this work, we introduce the FLORES evaluation benchmark, consisting of 3001 sentences extracted from English Wikipedia and covering a variety of different topics and domains. These sentences have been translated in 101 languages by professional translators through a carefully controlled process. The resulting dataset enables better assessment of model quality on the long tail of low-resource languages, including the evaluation of many-to-many multilingual translation systems, as all translations are multilingually aligned. By publicly releasing such a high-quality and high-coverage dataset, we hope to foster progress in the machine translation community and beyond.\n> \n> \n> \n\n\nDisclaimer: \\*The Flores-101 dataset is hosted by the Facebook and licensed under the Creative Commons Attribution-ShareAlike 4.0 International License.### Supported Tasks and Leaderboards#### Multilingual Machine Translation\n\n\nRefer to the Dynabench leaderboard) for additional details on model evaluation on FLORES-101 in the context of the WMT2021 shared task on Large-Scale Multilingual Machine Translation.### Languages\n\n\nThe dataset contains parallel sentences for 101 languages, as mentioned in the original Github page for the project. Languages are identified with the ISO 639-3 code (e.g. 'eng', 'fra', 'rus') as in the original dataset.\n\n\nNew: Use the configuration 'all' to access the full set of parallel sentences for all the available languages in a single command.\n\n\nDataset Structure\n-----------------" ]

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[ "task_categories:text-classification", "task_ids:acceptability-classification", "annotations_creators:expert-generated", "language_creators:expert-generated", "multilinguality:monolingual", "size_categories:unknown", "source_datasets:original", "language:it", "license:unknown", "arxiv:2109.12053", "region:us" ]

[ "2109.12053" ]

[ "it" ]

[ "### Dataset Summary\n\n\nThe Italian Corpus of Linguistic Acceptability includes almost 10k sentences taken from linguistic literature with a binary annotation made by the original authors themselves. The work is inspired by the English Corpus of Linguistic Acceptability.\n\n\nDisclaimer: *The ItaCoLA corpus is hosted on Github by the Digital Humanities group at FBK*. It was introduced in the article Monolingual and Cross-Lingual Acceptability Judgments with the Italian CoLA corpus by Daniela Trotta, Raffaele Guarasci, Elisa Leonardelli, Sara Tonelli", "### Supported Tasks and Leaderboards", "#### Acceptability Classification\n\n\nThe following table is taken from Table 4 of the original paper, where an LSTM and a BERT model pretrained on the Italian languages are fine-tuned on the 'train' split of the corpus and evaluated respectively on the 'test' split (*In-domain*, 'in') and on the acceptability portion of the [AcCompl-it] corpus (*Out-of-domain*, 'out'). Models are evaluated with accuracy (*Acc.*) and Matthews Correlation Coefficient (*MCC*) in both settings. Results are averaged over 10 runs with ±stdev. error bounds.", "### Languages\n\n\nThe language data in ItaCoLA is in Italian (BCP-47 'it')\n\n\nDataset Structure\n-----------------", "### Data Instances", "#### Scores Configuration\n\n\nThe 'scores' configuration contains sentences with acceptability judgments. An example from the 'train' split of the 'scores' config (default) is provided below.\n\n\nThe text is provided as-is, without further preprocessing or tokenization.\n\n\nThe fields are the following:\n\n\n* 'unique\\_id': Unique identifier for the sentence across configurations.\n* 'source': Original source for the sentence.\n* 'acceptability': Binary score, 1 = acceptable, 0 = not acceptable.\n* 'sentence': The evaluated sentence.", "#### Phenomena Configuration\n\n\nThe 'phenomena' configuration contains a sample of sentences from 'scores' that has been manually annotated to denote the presence of 9 linguistic phenomena. An example from the 'train' split is provided below:\n\n\nFor each one of the new fields, the value of the binary score denotes the presence (1) or the absence (0) of the respective phenomenon. Refer to the original paper for a detailed description of each phenomenon.", "### Data Splits", "### Dataset Creation\n\n\nPlease refer to the original article Monolingual and Cross-Lingual Acceptability Judgments with the Italian CoLA corpus for additional information on dataset creation.\n\n\nAdditional Information\n----------------------", "### Dataset Curators\n\n\nThe authors are the curators of the original dataset. For problems or updates on this Datasets version, please contact gabriele.sarti996@URL.", "### Licensing Information\n\n\nNo licensing information available.\n\n\nPlease cite the authors if you use these corpora in your work:" ]

[ "TAGS\n#task_categories-text-classification #task_ids-acceptability-classification #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-unknown #source_datasets-original #language-Italian #license-unknown #arxiv-2109.12053 #region-us \n", "### Dataset Summary\n\n\nThe Italian Corpus of Linguistic Acceptability includes almost 10k sentences taken from linguistic literature with a binary annotation made by the original authors themselves. The work is inspired by the English Corpus of Linguistic Acceptability.\n\n\nDisclaimer: *The ItaCoLA corpus is hosted on Github by the Digital Humanities group at FBK*. It was introduced in the article Monolingual and Cross-Lingual Acceptability Judgments with the Italian CoLA corpus by Daniela Trotta, Raffaele Guarasci, Elisa Leonardelli, Sara Tonelli", "### Supported Tasks and Leaderboards", "#### Acceptability Classification\n\n\nThe following table is taken from Table 4 of the original paper, where an LSTM and a BERT model pretrained on the Italian languages are fine-tuned on the 'train' split of the corpus and evaluated respectively on the 'test' split (*In-domain*, 'in') and on the acceptability portion of the [AcCompl-it] corpus (*Out-of-domain*, 'out'). Models are evaluated with accuracy (*Acc.*) and Matthews Correlation Coefficient (*MCC*) in both settings. Results are averaged over 10 runs with ±stdev. error bounds.", "### Languages\n\n\nThe language data in ItaCoLA is in Italian (BCP-47 'it')\n\n\nDataset Structure\n-----------------", "### Data Instances", "#### Scores Configuration\n\n\nThe 'scores' configuration contains sentences with acceptability judgments. An example from the 'train' split of the 'scores' config (default) is provided below.\n\n\nThe text is provided as-is, without further preprocessing or tokenization.\n\n\nThe fields are the following:\n\n\n* 'unique\\_id': Unique identifier for the sentence across configurations.\n* 'source': Original source for the sentence.\n* 'acceptability': Binary score, 1 = acceptable, 0 = not acceptable.\n* 'sentence': The evaluated sentence.", "#### Phenomena Configuration\n\n\nThe 'phenomena' configuration contains a sample of sentences from 'scores' that has been manually annotated to denote the presence of 9 linguistic phenomena. An example from the 'train' split is provided below:\n\n\nFor each one of the new fields, the value of the binary score denotes the presence (1) or the absence (0) of the respective phenomenon. Refer to the original paper for a detailed description of each phenomenon.", "### Data Splits", "### Dataset Creation\n\n\nPlease refer to the original article Monolingual and Cross-Lingual Acceptability Judgments with the Italian CoLA corpus for additional information on dataset creation.\n\n\nAdditional Information\n----------------------", "### Dataset Curators\n\n\nThe authors are the curators of the original dataset. For problems or updates on this Datasets version, please contact gabriele.sarti996@URL.", "### Licensing Information\n\n\nNo licensing information available.\n\n\nPlease cite the authors if you use these corpora in your work:" ]

[ 97, 127, 10, 153, 29, 6, 134, 112, 5, 47, 42, 27 ]

[ "passage: TAGS\n#task_categories-text-classification #task_ids-acceptability-classification #annotations_creators-expert-generated #language_creators-expert-generated #multilinguality-monolingual #size_categories-unknown #source_datasets-original #language-Italian #license-unknown #arxiv-2109.12053 #region-us \n### Dataset Summary\n\n\nThe Italian Corpus of Linguistic Acceptability includes almost 10k sentences taken from linguistic literature with a binary annotation made by the original authors themselves. The work is inspired by the English Corpus of Linguistic Acceptability.\n\n\nDisclaimer: *The ItaCoLA corpus is hosted on Github by the Digital Humanities group at FBK*. It was introduced in the article Monolingual and Cross-Lingual Acceptability Judgments with the Italian CoLA corpus by Daniela Trotta, Raffaele Guarasci, Elisa Leonardelli, Sara Tonelli### Supported Tasks and Leaderboards#### Acceptability Classification\n\n\nThe following table is taken from Table 4 of the original paper, where an LSTM and a BERT model pretrained on the Italian languages are fine-tuned on the 'train' split of the corpus and evaluated respectively on the 'test' split (*In-domain*, 'in') and on the acceptability portion of the [AcCompl-it] corpus (*Out-of-domain*, 'out'). Models are evaluated with accuracy (*Acc.*) and Matthews Correlation Coefficient (*MCC*) in both settings. Results are averaged over 10 runs with ±stdev. error bounds.### Languages\n\n\nThe language data in ItaCoLA is in Italian (BCP-47 'it')\n\n\nDataset Structure\n-----------------### Data Instances" ]

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[ "task_categories:text-generation", "task_categories:translation", "annotations_creators:found", "language_creators:expert-generated", "multilinguality:multilingual", "multilinguality:translation", "size_categories:unknown", "source_datasets:extended|wmt16", "source_datasets:extended|wmt17", "source_datasets:extended|wmt18", "source_datasets:extended|wmt19", "source_datasets:extended|wmt20", "language:cs", "language:de", "language:en", "language:et", "language:fi", "language:fr", "language:gu", "language:iu", "language:ja", "language:kk", "language:km", "language:lt", "language:lv", "language:pl", "language:ps", "language:ro", "language:ru", "language:ta", "language:tr", "language:zh", "license:unknown", "conditional-text-generation", "region:us" ]

[]

[ "cs", "de", "en", "et", "fi", "fr", "gu", "iu", "ja", "kk", "km", "lt", "lv", "pl", "ps", "ro", "ru", "ta", "tr", "zh" ]

[ "### Dataset Summary\n\n\nThis dataset comprises 70 small and discriminative test sets for machine translation (MT) evaluation called variance-aware test sets (VAT), covering 35 translation directions from WMT16 to WMT20 competitions. VAT is automatically created by a novel variance-aware filtering method that filters the indiscriminative test instances of the current MT benchmark without any human labor. Experimental results show that VAT outperforms the original WMT benchmark in terms of the correlation with human judgment across mainstream language pairs and test sets. Further analysis on the properties of VAT reveals the challenging linguistic features (e.g., translation of low-frequency words and proper nouns) for the competitive MT systems, providing guidance for constructing future MT test sets.\n\n\nDisclaimer: \\*The VAT test sets are hosted through Github by the Natural Language Processing & Portuguese-Chinese Machine Translation Laboratory (NLP2CT Lab) of the University of Macau. They were introduced by the paper Variance-Aware Machine Translation Test Sets by Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao and follow the original licensing for WMT test sets.", "### Supported Tasks and Leaderboards", "#### Machine Translation\n\n\nRefer to the original paper for additional details on model evaluation on VAT.", "### Languages\n\n\nThe following table taken from the original paper lists the languages supported by the VAT test sets, for a total of 70 language pairs:\n\n\n\nTo use any one of the test set, pass 'wmtXX\\_src\\_tgt' as configuration name to the 'load\\_dataset' command. E.g. to load the English-Russian test set from 'wmt16', use 'load\\_dataset('gsarti/wmt\\_vat', 'wmt16\\_en\\_ru')'.\n\n\nDataset Structure\n-----------------", "### Data Instances\n\n\nA sample from the 'test' split (the only available split) for the WMT16 English-Russian language ('wmt16\\_en\\_ru' config) is provided below. All configurations have the same structure.\n\n\nThe text is provided as-in the original dataset, without further preprocessing or tokenization.", "### Data Fields\n\n\n* 'orig\\_id': Id corresponding to the row id in the original dataset, before variance-aware filtering.\n* 'source': The source sentence.\n* 'reference': The reference sentence in the target language.", "### Data Splits\n\n\nTaken from the original repository:", "### Dataset Creation\n\n\nThe dataset was created by retaining a subset of the top 40% instances from various WMT test sets for which the variance between automatic scores (BLEU, BLEURT, COMET, BERTScore) was the highest. Please refer to the original article Variance-Aware Machine Translation Test Sets for additional information on dataset creation.\n\n\nAdditional Information\n----------------------", "### Dataset Curators\n\n\nThe original authors of VAT are the curators of the original dataset. For problems or updates on this Datasets version, please contact gabriele.sarti996@URL.", "### Licensing Information\n\n\nThe variance-aware test set were created based on the original WMT test set. Thus, the the original data licensing plan already stated by WMT organizers is still applicable:\n\n\n\n> \n> The data released for the WMT news translation task can be freely used for research purposes, we just ask that you cite the WMT shared task overview paper, and respect any additional citation requirements on the individual data sets. For other uses of the data, you should consult with original owners of the data sets.\n> \n> \n> \n\n\nPlease cite the authors if you use these corpora in your work. It is also advised to cite the original WMT shared task paper for the specific test sets that were used." ]

[ "TAGS\n#task_categories-text-generation #task_categories-translation #annotations_creators-found #language_creators-expert-generated #multilinguality-multilingual #multilinguality-translation #size_categories-unknown #source_datasets-extended|wmt16 #source_datasets-extended|wmt17 #source_datasets-extended|wmt18 #source_datasets-extended|wmt19 #source_datasets-extended|wmt20 #language-Czech #language-German #language-English #language-Estonian #language-Finnish #language-French #language-Gujarati #language-Inuktitut #language-Japanese #language-Kazakh #language-Khmer #language-Lithuanian #language-Latvian #language-Polish #language-Pushto #language-Romanian #language-Russian #language-Tamil #language-Turkish #language-Chinese #license-unknown #conditional-text-generation #region-us \n", "### Dataset Summary\n\n\nThis dataset comprises 70 small and discriminative test sets for machine translation (MT) evaluation called variance-aware test sets (VAT), covering 35 translation directions from WMT16 to WMT20 competitions. VAT is automatically created by a novel variance-aware filtering method that filters the indiscriminative test instances of the current MT benchmark without any human labor. Experimental results show that VAT outperforms the original WMT benchmark in terms of the correlation with human judgment across mainstream language pairs and test sets. Further analysis on the properties of VAT reveals the challenging linguistic features (e.g., translation of low-frequency words and proper nouns) for the competitive MT systems, providing guidance for constructing future MT test sets.\n\n\nDisclaimer: \\*The VAT test sets are hosted through Github by the Natural Language Processing & Portuguese-Chinese Machine Translation Laboratory (NLP2CT Lab) of the University of Macau. They were introduced by the paper Variance-Aware Machine Translation Test Sets by Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao and follow the original licensing for WMT test sets.", "### Supported Tasks and Leaderboards", "#### Machine Translation\n\n\nRefer to the original paper for additional details on model evaluation on VAT.", "### Languages\n\n\nThe following table taken from the original paper lists the languages supported by the VAT test sets, for a total of 70 language pairs:\n\n\n\nTo use any one of the test set, pass 'wmtXX\\_src\\_tgt' as configuration name to the 'load\\_dataset' command. E.g. to load the English-Russian test set from 'wmt16', use 'load\\_dataset('gsarti/wmt\\_vat', 'wmt16\\_en\\_ru')'.\n\n\nDataset Structure\n-----------------", "### Data Instances\n\n\nA sample from the 'test' split (the only available split) for the WMT16 English-Russian language ('wmt16\\_en\\_ru' config) is provided below. All configurations have the same structure.\n\n\nThe text is provided as-in the original dataset, without further preprocessing or tokenization.", "### Data Fields\n\n\n* 'orig\\_id': Id corresponding to the row id in the original dataset, before variance-aware filtering.\n* 'source': The source sentence.\n* 'reference': The reference sentence in the target language.", "### Data Splits\n\n\nTaken from the original repository:", "### Dataset Creation\n\n\nThe dataset was created by retaining a subset of the top 40% instances from various WMT test sets for which the variance between automatic scores (BLEU, BLEURT, COMET, BERTScore) was the highest. Please refer to the original article Variance-Aware Machine Translation Test Sets for additional information on dataset creation.\n\n\nAdditional Information\n----------------------", "### Dataset Curators\n\n\nThe original authors of VAT are the curators of the original dataset. For problems or updates on this Datasets version, please contact gabriele.sarti996@URL.", "### Licensing Information\n\n\nThe variance-aware test set were created based on the original WMT test set. Thus, the the original data licensing plan already stated by WMT organizers is still applicable:\n\n\n\n> \n> The data released for the WMT news translation task can be freely used for research purposes, we just ask that you cite the WMT shared task overview paper, and respect any additional citation requirements on the individual data sets. For other uses of the data, you should consult with original owners of the data sets.\n> \n> \n> \n\n\nPlease cite the authors if you use these corpora in your work. It is also advised to cite the original WMT shared task paper for the specific test sets that were used." ]

[ 265, 279, 10, 18, 132, 79, 59, 14, 89, 45, 160 ]

[ "passage: TAGS\n#task_categories-text-generation #task_categories-translation #annotations_creators-found #language_creators-expert-generated #multilinguality-multilingual #multilinguality-translation #size_categories-unknown #source_datasets-extended|wmt16 #source_datasets-extended|wmt17 #source_datasets-extended|wmt18 #source_datasets-extended|wmt19 #source_datasets-extended|wmt20 #language-Czech #language-German #language-English #language-Estonian #language-Finnish #language-French #language-Gujarati #language-Inuktitut #language-Japanese #language-Kazakh #language-Khmer #language-Lithuanian #language-Latvian #language-Polish #language-Pushto #language-Romanian #language-Russian #language-Tamil #language-Turkish #language-Chinese #license-unknown #conditional-text-generation #region-us \n", "passage: ### Dataset Summary\n\n\nThis dataset comprises 70 small and discriminative test sets for machine translation (MT) evaluation called variance-aware test sets (VAT), covering 35 translation directions from WMT16 to WMT20 competitions. VAT is automatically created by a novel variance-aware filtering method that filters the indiscriminative test instances of the current MT benchmark without any human labor. Experimental results show that VAT outperforms the original WMT benchmark in terms of the correlation with human judgment across mainstream language pairs and test sets. Further analysis on the properties of VAT reveals the challenging linguistic features (e.g., translation of low-frequency words and proper nouns) for the competitive MT systems, providing guidance for constructing future MT test sets.\n\n\nDisclaimer: \\*The VAT test sets are hosted through Github by the Natural Language Processing & Portuguese-Chinese Machine Translation Laboratory (NLP2CT Lab) of the University of Macau. They were introduced by the paper Variance-Aware Machine Translation Test Sets by Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao and follow the original licensing for WMT test sets.### Supported Tasks and Leaderboards#### Machine Translation\n\n\nRefer to the original paper for additional details on model evaluation on VAT.### Languages\n\n\nThe following table taken from the original paper lists the languages supported by the VAT test sets, for a total of 70 language pairs:\n\n\n\nTo use any one of the test set, pass 'wmtXX\\_src\\_tgt' as configuration name to the 'load\\_dataset' command. E.g. to load the English-Russian test set from 'wmt16', use 'load\\_dataset('gsarti/wmt\\_vat', 'wmt16\\_en\\_ru')'.\n\n\nDataset Structure\n-----------------### Data Instances\n\n\nA sample from the 'test' split (the only available split) for the WMT16 English-Russian language ('wmt16\\_en\\_ru' config) is provided below. All configurations have the same structure.\n\n\nThe text is provided as-in the original dataset, without further preprocessing or tokenization.### Data Fields\n\n\n* 'orig\\_id': Id corresponding to the row id in the original dataset, before variance-aware filtering.\n* 'source': The source sentence.\n* 'reference': The reference sentence in the target language.### Data Splits\n\n\nTaken from the original repository:### Dataset Creation\n\n\nThe dataset was created by retaining a subset of the top 40% instances from various WMT test sets for which the variance between automatic scores (BLEU, BLEURT, COMET, BERTScore) was the highest. Please refer to the original article Variance-Aware Machine Translation Test Sets for additional information on dataset creation.\n\n\nAdditional Information\n----------------------### Dataset Curators\n\n\nThe original authors of VAT are the curators of the original dataset. For problems or updates on this Datasets version, please contact gabriele.sarti996@URL." ]

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[ "region:us" ]

[]

[]

[]

[ "TAGS\n#region-us \n" ]

[ 6 ]

[ "passage: TAGS\n#region-us \n" ]

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[ "region:us" ]

[]

[]

[]

[ "TAGS\n#region-us \n" ]

[ 6 ]

[ "passage: TAGS\n#region-us \n" ]

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[ "region:us" ]

[]

[]

[]

[ "TAGS\n#region-us \n" ]

[ 6 ]

[ "passage: TAGS\n#region-us \n" ]

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[ "region:us" ]

[]

[]

[]

[ "TAGS\n#region-us \n" ]

[ 6 ]

[ "passage: TAGS\n#region-us \n" ]

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[ "region:us" ]

[]

[]

[]

[ "TAGS\n#region-us \n" ]

[ 6 ]

[ "passage: TAGS\n#region-us \n" ]

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[ "region:us" ]

[]

[]

[ "### Chats ('chats\\_%Y-%m.csv')\n\n\ncolumn: body, type: string, description: chat message\ncolumn: membership, type: string, description: membership status\ncolumn: authorChannelId, type: string, description: anonymized author channel id\ncolumn: channelId, type: string, description: source channel id", "#### Membership status", "#### Pandas usage\n\n\nSet 'keep\\_default\\_na' to 'False' and 'na\\_values' to '''' in 'read\\_csv'. Otherwise, chat message like 'NA' would incorrectly be treated as NaN value.\n\n\nConsideration\n-------------", "### Anonymization\n\n\n'authorChannelId' are anonymized by SHA-1 hashing algorithm with a pinch of undisclosed salt.", "### Handling Custom Emojis\n\n\nAll custom emojis are replaced with a Unicode replacement character 'U+FFFD'.\n\n\nLicense\n-------\n\n\n* Code: MIT License\n* Dataset: ODC Public Domain Dedication and Licence (PDDL)" ]

[ "TAGS\n#region-us \n", "### Chats ('chats\\_%Y-%m.csv')\n\n\ncolumn: body, type: string, description: chat message\ncolumn: membership, type: string, description: membership status\ncolumn: authorChannelId, type: string, description: anonymized author channel id\ncolumn: channelId, type: string, description: source channel id", "#### Membership status", "#### Pandas usage\n\n\nSet 'keep\\_default\\_na' to 'False' and 'na\\_values' to '''' in 'read\\_csv'. Otherwise, chat message like 'NA' would incorrectly be treated as NaN value.\n\n\nConsideration\n-------------", "### Anonymization\n\n\n'authorChannelId' are anonymized by SHA-1 hashing algorithm with a pinch of undisclosed salt.", "### Handling Custom Emojis\n\n\nAll custom emojis are replaced with a Unicode replacement character 'U+FFFD'.\n\n\nLicense\n-------\n\n\n* Code: MIT License\n* Dataset: ODC Public Domain Dedication and Licence (PDDL)" ]

[ 6, 86, 5, 64, 33, 52 ]

[ "passage: TAGS\n#region-us \n### Chats ('chats\\_%Y-%m.csv')\n\n\ncolumn: body, type: string, description: chat message\ncolumn: membership, type: string, description: membership status\ncolumn: authorChannelId, type: string, description: anonymized author channel id\ncolumn: channelId, type: string, description: source channel id#### Membership status#### Pandas usage\n\n\nSet 'keep\\_default\\_na' to 'False' and 'na\\_values' to '''' in 'read\\_csv'. Otherwise, chat message like 'NA' would incorrectly be treated as NaN value.\n\n\nConsideration\n-------------### Anonymization\n\n\n'authorChannelId' are anonymized by SHA-1 hashing algorithm with a pinch of undisclosed salt.### Handling Custom Emojis\n\n\nAll custom emojis are replaced with a Unicode replacement character 'U+FFFD'.\n\n\nLicense\n-------\n\n\n* Code: MIT License\n* Dataset: ODC Public Domain Dedication and Licence (PDDL)" ]

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[ "region:us" ]

[]

[]

[ "# ReCAM: Reading Comprehension of Abstract Meaning", "## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - Personal and Sensitive Information\n- Considerations for Using the Data\n - Social Impact of Dataset\n - Discussion of Biases\n - Other Known Limitations\n- Additional Information\n - Dataset Curators\n - Licensing Information\n - Citation Information\n - Contributions", "## Dataset Description\n\nThis dataset is from SemEval 2021 Task 4: Reading Comprehension of Abstract Meaning. Original repository for the dataset and baseline code can be accessed here.\n\n- Paper: SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning in ACL\n- Leaderboard: CodaLab", "### Dataset Summary\n\nRefer to this page.", "## Dataset Structure\n\nRefer to the GitHub.", "### Data Instances", "### Data Fields", "### Data Splits", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information", "## Considerations for Using the Data", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations", "## Additional Information", "### Dataset Curators", "### Licensing Information", "### Contributions\n\nThanks to @github-username for adding this dataset." ]

[ "TAGS\n#region-us \n", "# ReCAM: Reading Comprehension of Abstract Meaning", "## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - Personal and Sensitive Information\n- Considerations for Using the Data\n - Social Impact of Dataset\n - Discussion of Biases\n - Other Known Limitations\n- Additional Information\n - Dataset Curators\n - Licensing Information\n - Citation Information\n - Contributions", "## Dataset Description\n\nThis dataset is from SemEval 2021 Task 4: Reading Comprehension of Abstract Meaning. Original repository for the dataset and baseline code can be accessed here.\n\n- Paper: SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning in ACL\n- Leaderboard: CodaLab", "### Dataset Summary\n\nRefer to this page.", "## Dataset Structure\n\nRefer to the GitHub.", "### Data Instances", "### Data Fields", "### Data Splits", "## Dataset Creation", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information", "## Considerations for Using the Data", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations", "## Additional Information", "### Dataset Curators", "### Licensing Information", "### Contributions\n\nThanks to @github-username for adding this dataset." ]

[ 6, 13, 125, 74, 11, 13, 6, 5, 5, 5, 7, 4, 10, 10, 5, 5, 9, 8, 8, 7, 8, 7, 5, 6, 6, 19 ]

[ "passage: TAGS\n#region-us \n# ReCAM: Reading Comprehension of Abstract Meaning## Table of Contents\n- Table of Contents\n- Dataset Description\n - Dataset Summary\n - Supported Tasks and Leaderboards\n - Languages\n- Dataset Structure\n - Data Instances\n - Data Fields\n - Data Splits\n- Dataset Creation\n - Curation Rationale\n - Source Data\n - Annotations\n - Personal and Sensitive Information\n- Considerations for Using the Data\n - Social Impact of Dataset\n - Discussion of Biases\n - Other Known Limitations\n- Additional Information\n - Dataset Curators\n - Licensing Information\n - Citation Information\n - Contributions## Dataset Description\n\nThis dataset is from SemEval 2021 Task 4: Reading Comprehension of Abstract Meaning. Original repository for the dataset and baseline code can be accessed here.\n\n- Paper: SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning in ACL\n- Leaderboard: CodaLab### Dataset Summary\n\nRefer to this page.## Dataset Structure\n\nRefer to the GitHub.### Data Instances### Data Fields### Data Splits## Dataset Creation### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information## Considerations for Using the Data### Social Impact of Dataset### Discussion of Biases### Other Known Limitations## Additional Information### Dataset Curators### Licensing Information### Contributions\n\nThanks to @github-username for adding this dataset." ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n![Follow](URL\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n![Follow](URL\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 47 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n![Follow](URL\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n![Follow](URL\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n![Follow](URL\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 47 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n![Follow](URL\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n![Follow](URL\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n![Follow](URL\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 47 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n![Follow](URL\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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[ "language:en", "huggingartists", "lyrics", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ "TAGS\n#language-English #huggingartists #lyrics #region-us \n", "### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.", "### Supported Tasks and Leaderboards", "### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.", "### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.", "### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------", "### Curation Rationale", "### Source Data", "#### Initial Data Collection and Normalization", "#### Who are the source language producers?", "### Annotations", "#### Annotation process", "#### Who are the annotators?", "### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------", "### Social Impact of Dataset", "### Discussion of Biases", "### Other Known Limitations\n\n\nAdditional Information\n----------------------", "### Dataset Curators", "### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

[ 19, 35, 10, 44, 28, 41, 7, 4, 10, 10, 5, 5, 9, 18, 7, 8, 14, 6, 84 ]

[ "passage: TAGS\n#language-English #huggingartists #lyrics #region-us \n### Dataset Summary\n\n\nThe Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists.\nModel is available here.### Supported Tasks and Leaderboards### Languages\n\n\nen\n\n\nHow to use\n----------\n\n\nHow to load this dataset directly with the datasets library:\n\n\nDataset Structure\n-----------------\n\n\nAn example of 'train' looks as follows.### Data Fields\n\n\nThe data fields are the same among all splits.\n\n\n* 'text': a 'string' feature.### Data Splits\n\n\n\n'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code:\n\n\nDataset Creation\n----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations#### Annotation process#### Who are the annotators?### Personal and Sensitive Information\n\n\nConsiderations for Using the Data\n---------------------------------### Social Impact of Dataset### Discussion of Biases### Other Known Limitations\n\n\nAdditional Information\n----------------------### Dataset Curators### Licensing Information\n\n\nAbout\n-----\n\n\n*Built by Aleksey Korshuk*\n\n\n\n\n\nFor more details, visit the project repository.\n\n\n![GitHub stars](URL" ]

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