Datasets:

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ftopal

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huggingface-datasets

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[ "# Dataset Card for Nexdata/Cantonese_Conversational_Speech_Data_by_Mobile_Phone_and_Voice_Recorder", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n995 local Cantonese speakers participated in the recording, and conducted face-to-face communication in a natural way. They had free discussion on a number of given topics, with a wide range of fields; the voice was natural and fluent, in line with the actual dialogue scene. Text is transferred manually, with high accuracy. \n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nCantonese", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Cantonese_Conversational_Speech_Data_by_Mobile_Phone_and_Voice_Recorder", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n995 local Cantonese speakers participated in the recording, and conducted face-to-face communication in a natural way. They had free discussion on a number of given topics, with a wide range of fields; the voice was natural and fluent, in line with the actual dialogue scene. Text is transferred manually, with high accuracy. \n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nCantonese", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

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[ "# Dataset Card for Nexdata/Mandarin_Mobile_Telephony_Conversational_Speech_Collection_Data", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n4491 speakers participated in the recording and conducted face-to-face communication in a natural way. no topics are specified, with a wide range of fields; the voice was natural and fluent, in line with the actual dialogue scene. Text is transferred manually, with high accuracy.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nMandarin Chinese", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Mandarin_Mobile_Telephony_Conversational_Speech_Collection_Data", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n4491 speakers participated in the recording and conducted face-to-face communication in a natural way. no topics are specified, with a wide range of fields; the voice was natural and fluent, in line with the actual dialogue scene. Text is transferred manually, with high accuracy.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nMandarin Chinese", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

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[ "# Dataset Card for Nexdata/German_Conversational_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nAbout 300 speakers participated in the recording and conducted face-to-face communication in a natural way. They had free discussion on a number of given topics, with a wide range of fields; the voice was natural and fluent, in line with the actual dialogue scene. Text is transferred manually, with high accuracy. \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nGerman", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/German_Conversational_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nAbout 300 speakers participated in the recording and conducted face-to-face communication in a natural way. They had free discussion on a number of given topics, with a wide range of fields; the voice was natural and fluent, in line with the actual dialogue scene. Text is transferred manually, with high accuracy. \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nGerman", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

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[ "# Dataset Card for Nexdata/Vietnamese_Conversational_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n150 speakers participated in the recording and conducted face-to-face communication in a natural way. They had free discussion on a number of given topics, with a wide range of fields; the voice was natural and fluent, in line with the actual dialogue scene. Text is transferred manually, with high accuracy. \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nVietnamese", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Vietnamese_Conversational_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n150 speakers participated in the recording and conducted face-to-face communication in a natural way. They had free discussion on a number of given topics, with a wide range of fields; the voice was natural and fluent, in line with the actual dialogue scene. Text is transferred manually, with high accuracy. \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nVietnamese", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

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[ "# Dataset Card for Nexdata/Minnan_Dialect_Conversational_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n500 Hours – Minnan Dialect Conversational Speech Data by Mobile Phone.The dataset is recorded by about 1,000 local Hokkien speakers. The recording people are from Quanzhou, Zhangzhou and Xiamen. The ratio of male and female is balanced, covering multiple age groups. There is no preset corpus for the voice data. In order to ensure the smooth and natural dialogue, the recorder will start the dialogue and record it according to the topic he is familiar with. \n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nHokkien", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Minnan_Dialect_Conversational_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n500 Hours – Minnan Dialect Conversational Speech Data by Mobile Phone.The dataset is recorded by about 1,000 local Hokkien speakers. The recording people are from Quanzhou, Zhangzhou and Xiamen. The ratio of male and female is balanced, covering multiple age groups. There is no preset corpus for the voice data. In order to ensure the smooth and natural dialogue, the recorder will start the dialogue and record it according to the topic he is familiar with. \n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nHokkien", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/French_Conversational_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nAbout 1000 speakers participated in the recording, and conducted face-to-face communication in a natural way. They had free discussion on a number of given topics, with a wide range of fields; the voice was natural and fluent, in line with the actual dialogue scene. Text is transferred manually, with high accuracy.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nFrench", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/French_Conversational_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nAbout 1000 speakers participated in the recording, and conducted face-to-face communication in a natural way. They had free discussion on a number of given topics, with a wide range of fields; the voice was natural and fluent, in line with the actual dialogue scene. Text is transferred manually, with high accuracy.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nFrench", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

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[ "# Dataset Card for Nexdata/Spanish_Conversational_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nAbout 1000 speakers participated in the recording, and conducted face-to-face communication in a natural way. They had free discussion on a number of given topics, with a wide range of fields; the voice was natural and fluent, in line with the actual dialogue scene. Text is transferred manually, with high accuracy.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nSpain", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Spanish_Conversational_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nAbout 1000 speakers participated in the recording, and conducted face-to-face communication in a natural way. They had free discussion on a number of given topics, with a wide range of fields; the voice was natural and fluent, in line with the actual dialogue scene. Text is transferred manually, with high accuracy.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nSpain", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

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[ "# Dataset Card for Nexdata/Hindi_Conversational_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nAbout 1000 speakers participated in the recording, and conducted face-to-face communication in a natural way. They had free discussion on a number of given topics, with a wide range of fields; the voice was natural and fluent, in line with the actual dialogue scene. Text is transferred manually, with high accuracy.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nHindi", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Hindi_Conversational_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nAbout 1000 speakers participated in the recording, and conducted face-to-face communication in a natural way. They had free discussion on a number of given topics, with a wide range of fields; the voice was natural and fluent, in line with the actual dialogue scene. Text is transferred manually, with high accuracy.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nHindi", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/British_English_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n831 Hours–Mobile Telephony British English Speech Data, which is recorded by 1651 native British speakers. The recording contents cover many categories such as generic, interactive, in-car and smart home. The texts are manually proofreaded to ensure a high accuracy rate. The database matchs the Android system and IOS.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nBritish English", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/British_English_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n831 Hours–Mobile Telephony British English Speech Data, which is recorded by 1651 native British speakers. The recording contents cover many categories such as generic, interactive, in-car and smart home. The texts are manually proofreaded to ensure a high accuracy rate. The database matchs the Android system and IOS.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nBritish English", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Italian_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data were recorded by 3,109 native Italian speakers with authentic Italian accents. The recorded content covers a wide range of categories such as general purpose, interactive, in car commands, home commands, etc. The recorded text is designed by a language expert, and the text is manually proofread with high accuracy. Match mainstream Android, Apple system phones.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nItalian", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Italian_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data were recorded by 3,109 native Italian speakers with authentic Italian accents. The recorded content covers a wide range of categories such as general purpose, interactive, in car commands, home commands, etc. The recorded text is designed by a language expert, and the text is manually proofread with high accuracy. Match mainstream Android, Apple system phones.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nItalian", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Chinese_Children_Speech_Data_by_Microphone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data is recorded by 739 children from China through high-fidelity microphones, with a balanced male-female ratio. The recorded content of the data mainly comes from children's textbooks, children's storybooks, and numbers, which are in line with children's language usage habits. The recording environment is a relatively quiet indoor, the text is manually transferred with high accuracy.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\nChinese", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Chinese_Children_Speech_Data_by_Microphone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data is recorded by 739 children from China through high-fidelity microphones, with a balanced male-female ratio. The recorded content of the data mainly comes from children's textbooks, children's storybooks, and numbers, which are in line with children's language usage habits. The recording environment is a relatively quiet indoor, the text is manually transferred with high accuracy.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\nChinese", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Mandarin_Speech_Data_in_Cars_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n695 Chinese native speakers participated in the recording, with 245 hours of valid data, covering many regions of the country. The recording was carried out in the car environment, covering various scenarios such as different road types, different vehicle models, window opening and closing situations, whether music was turned on or not, etc.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\nMandarin Chinese", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Mandarin_Speech_Data_in_Cars_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n695 Chinese native speakers participated in the recording, with 245 hours of valid data, covering many regions of the country. The recording was carried out in the car environment, covering various scenarios such as different road types, different vehicle models, window opening and closing situations, whether music was turned on or not, etc.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\nMandarin Chinese", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Chinese_Speaking_English_Speech_Data_by_Mobile_phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThis dataset is 100,000 colloquial English sentences recorded by 3,691 Chinese, covering many domestic dialect zones like Jiangsu, Shandong, Beijing, Henan, and meets the specific accent of Chinese speaking English. The recording texts contain commonly used sentences with rich contents, broad fields, and balanced phoneme. It can be used in improving the recognition effect of the speech recognition system on Chinese speaking English. \n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nChinese English", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Chinese_Speaking_English_Speech_Data_by_Mobile_phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThis dataset is 100,000 colloquial English sentences recorded by 3,691 Chinese, covering many domestic dialect zones like Jiangsu, Shandong, Beijing, Henan, and meets the specific accent of Chinese speaking English. The recording texts contain commonly used sentences with rich contents, broad fields, and balanced phoneme. It can be used in improving the recognition effect of the speech recognition system on Chinese speaking English. \n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nChinese English", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Mandarin_Speech_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nIt collects 6,278 speakers' dat from 33 provinces of China. 2,980 males and 3,298 females. The recording contents are commonly used colloquial sentences. It is recorded in both quiet and noisy environment. Annotated texts are transcribed and proofread by professional annotators. The accuracy is not less than 98%.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\nMandarin", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Mandarin_Speech_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nIt collects 6,278 speakers' dat from 33 provinces of China. 2,980 males and 3,298 females. The recording contents are commonly used colloquial sentences. It is recorded in both quiet and noisy environment. Annotated texts are transcribed and proofread by professional annotators. The accuracy is not less than 98%.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\nMandarin", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "task_categories:text-to-speech", "language:zh", "region:us" ]

[]

[ "zh" ]

[ "# Dataset Card for Nexdata/Chinese_Mandarin_Multi-emotional_Synthesis_Corpus", "## Description\n22 People - Chinese Mandarin Multi-emotional Synthesis Corpus. It is recorded by Chinese native speaker, covering different ages and genders. six emotional text, and the syllables, phonemes and tones are balanced. Professional phonetician participates in the annotation. It precisely matches with the research and development needs of the speech synthesis.\n\nFor more details, please refer to the link: URL", "# Specifications", "## Format\n48,000Hz, 24bit, uncompressed wav, mono channel", "## Recording environment\nprofessional recording studio", "## Recording content\nseven emotions (happiness, anger, sadness, surprise, fear, disgust)", "## Speaker\n22 persons, different age groups and genders", "## Device\nmicrophone", "## Language\nMandarin", "## Annotation\nword and pinyin transcription, prosodic boundary annotation", "## Application scenarios\nspeech synthesis", "## The amount of data\nThe amount of data for per person is 140 minutes, each emotion is 20 minutes", "# Licensing Information\nCommercial License" ]

[ "TAGS\n#task_categories-text-to-speech #language-Chinese #region-us \n", "# Dataset Card for Nexdata/Chinese_Mandarin_Multi-emotional_Synthesis_Corpus", "## Description\n22 People - Chinese Mandarin Multi-emotional Synthesis Corpus. It is recorded by Chinese native speaker, covering different ages and genders. six emotional text, and the syllables, phonemes and tones are balanced. Professional phonetician participates in the annotation. It precisely matches with the research and development needs of the speech synthesis.\n\nFor more details, please refer to the link: URL", "# Specifications", "## Format\n48,000Hz, 24bit, uncompressed wav, mono channel", "## Recording environment\nprofessional recording studio", "## Recording content\nseven emotions (happiness, anger, sadness, surprise, fear, disgust)", "## Speaker\n22 persons, different age groups and genders", "## Device\nmicrophone", "## Language\nMandarin", "## Annotation\nword and pinyin transcription, prosodic boundary annotation", "## Application scenarios\nspeech synthesis", "## The amount of data\nThe amount of data for per person is 140 minutes, each emotion is 20 minutes", "# Licensing Information\nCommercial License" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Uyghur_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nIt collects 2,058 people from the Uighur community, with a balanced ratio of men and women. The recording contents are 300,000 Uighur spoken sentences, and the recording environment is quiet indoor. All sentences were manually and accurately transcribed and annotated with noise signs.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\nUyghur", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Uyghur_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nIt collects 2,058 people from the Uighur community, with a balanced ratio of men and women. The recording contents are 300,000 Uighur spoken sentences, and the recording environment is quiet indoor. All sentences were manually and accurately transcribed and annotated with noise signs.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\nUyghur", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Cantonese_Dialect_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nIt collects 4,888 speakers from Guangdong Province and is recorded in quiet indoor environment. The recorded content covers 500,000 commonly used spoken sentences, including high-frequency words in weico and daily used expressions. The average number of repetitions is 1.5 and the average sentence length is 12.5 words. Recording devices are mainstream Android phones and iPhones. \n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nCantonese", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Cantonese_Dialect_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nIt collects 4,888 speakers from Guangdong Province and is recorded in quiet indoor environment. The recorded content covers 500,000 commonly used spoken sentences, including high-frequency words in weico and daily used expressions. The average number of repetitions is 1.5 and the average sentence length is 12.5 words. Recording devices are mainstream Android phones and iPhones. \n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nCantonese", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

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[ "# Dataset Card for Nexdata/Shanghai_Dialect_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nIt collects 2.956 speakers from Shanghai and is recorded in quiet indoor environment. The recorded content includes multi-domain customer consultation, short messages, numbers, Shanghai POI, etc. The corpus has no repetition and the average sentence length is 12.68 words. Recording devices are mainstream Android phones and iPhones.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nShanghai Dialect", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Shanghai_Dialect_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nIt collects 2.956 speakers from Shanghai and is recorded in quiet indoor environment. The recorded content includes multi-domain customer consultation, short messages, numbers, Shanghai POI, etc. The corpus has no repetition and the average sentence length is 12.68 words. Recording devices are mainstream Android phones and iPhones.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nShanghai Dialect", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

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[ "# Dataset Card for Nexdata/Japanese_Speech_Data_by_Mobile_Phone_Reading", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nIt collects 799 Japanese locals and is recorded in quiet indoor places, streets, restaurant. The recording includes 210,000 commonly used written and spoken Japanese sentences. The error rate of text transfer sentence is less than 5%. Recording devices are mainstream Android phones and iPhones.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\nJapanese", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Japanese_Speech_Data_by_Mobile_Phone_Reading", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nIt collects 799 Japanese locals and is recorded in quiet indoor places, streets, restaurant. The recording includes 210,000 commonly used written and spoken Japanese sentences. The error rate of text transfer sentence is less than 5%. Recording devices are mainstream Android phones and iPhones.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\nJapanese", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

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[ "# Dataset Card for Nexdata/British_Children_Speech_Data_by_Microphone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nIt collects 291 Korean locals and is recorded in quiet indoor environment. The recordings include economics, entertainment, news, oral, figure, letter. 400 sentences for each speaker. Recording devices are mainstream Android phones and iPhones.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\nKorean", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/British_Children_Speech_Data_by_Microphone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nIt collects 291 Korean locals and is recorded in quiet indoor environment. The recordings include economics, entertainment, news, oral, figure, letter. 400 sentences for each speaker. Recording devices are mainstream Android phones and iPhones.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\nKorean", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/British_Children_Speech_Data_by_Microphone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nIt collects 201 British children. The recordings are mainly children textbooks, storybooks. The average sentence length is 4.68 words and the average sentence repetition rate is 6.6 times. This data is recorded by high fidelity microphone. The text is manually transcribed with high accuracy.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nBritish English", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/British_Children_Speech_Data_by_Microphone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nIt collects 201 British children. The recordings are mainly children textbooks, storybooks. The average sentence length is 4.68 words and the average sentence repetition rate is 6.6 times. This data is recorded by high fidelity microphone. The text is manually transcribed with high accuracy.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nBritish English", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Mixed_Speech_with_Chinese_and_English_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data is recorded by 3972 Chinese native speakers with accents covering seven major dialect areas. The recorded text is a mixture of Chinese and English sentences, covering general scenes and human-computer interaction scenes. It is rich in content and accurate in transcription. It can be used for improving the recognition effect of the speech recognition system on Chinese-English mixed reading speech.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nChinese, English", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Mixed_Speech_with_Chinese_and_English_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data is recorded by 3972 Chinese native speakers with accents covering seven major dialect areas. The recorded text is a mixture of Chinese and English sentences, covering general scenes and human-computer interaction scenes. It is rich in content and accurate in transcription. It can be used for improving the recognition effect of the speech recognition system on Chinese-English mixed reading speech.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nChinese, English", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Taiwan_Mandarin_Speech_Data_by_Mobile_Phone_Reading", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data collects 204 Taiwan residents with 450 sentences for each speaker. The recorded is rich in content, including economy, entertainment, news, spoken language, numbers, letters, etc., covering general scenes and human-computer interaction scenes. Manual transcription of text to make sure the high accuracy. Recording devices are mainstream Android phones and iPhones.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nTaiwanese", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Taiwan_Mandarin_Speech_Data_by_Mobile_Phone_Reading", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data collects 204 Taiwan residents with 450 sentences for each speaker. The recorded is rich in content, including economy, entertainment, news, spoken language, numbers, letters, etc., covering general scenes and human-computer interaction scenes. Manual transcription of text to make sure the high accuracy. Recording devices are mainstream Android phones and iPhones.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nTaiwanese", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/German_Speech_Data_by_Mobile_Phone_Reading", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data set contains 327 German native speakers' speech data. The recording contents include economics, entertainment, news, oral, figure, letter, etc. Each sentence contains 10.3 words on average. Each sentence is repeated 1.4 times on average. All texts are manually transcribed to ensure the high accuracy. \n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nGerman", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/German_Speech_Data_by_Mobile_Phone_Reading", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data set contains 327 German native speakers' speech data. The recording contents include economics, entertainment, news, oral, figure, letter, etc. Each sentence contains 10.3 words on average. Each sentence is repeated 1.4 times on average. All texts are manually transcribed to ensure the high accuracy. \n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nGerman", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/European_Portuguese_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nIt is speech data of 2,000 Portuguese natives with authentic accents. The recorded text is designed by professional language experts and is rich in content, covering multiple categories such as general purpose, interactive, vehicle-mounted and household commands. The recording environment is quiet and without echo. The texts are manually transcribed with a high accuracy rate. Recording devices are mainstream Android phones and iPhones.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\nPortuguese", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/European_Portuguese_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nIt is speech data of 2,000 Portuguese natives with authentic accents. The recorded text is designed by professional language experts and is rich in content, covering multiple categories such as general purpose, interactive, vehicle-mounted and household commands. The recording environment is quiet and without echo. The texts are manually transcribed with a high accuracy rate. Recording devices are mainstream Android phones and iPhones.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\nPortuguese", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Italian_Speech_Data_by_Mobile_Phone_Reading", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nItalian speech data (reading) is collected from 325 Italian native speakers and is recorded in quiet environment. The recording is rich in content, covering multiple categories such as econimics, entertainment, news, and oral. Each sentence contains 9.2 words in average. Each sentence is repeated 2.7 times on average. All texts are manual transcribed with high accuray.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nItalian", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Italian_Speech_Data_by_Mobile_Phone_Reading", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nItalian speech data (reading) is collected from 325 Italian native speakers and is recorded in quiet environment. The recording is rich in content, covering multiple categories such as econimics, entertainment, news, and oral. Each sentence contains 9.2 words in average. Each sentence is repeated 2.7 times on average. All texts are manual transcribed with high accuray.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nItalian", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Thai_Speech_Data_by_Mobile_Phone_Reading", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThai speech data (reading) is collected from 498 Thailand native speakers and is recorded in quiet environment. The recording is rich in content, covering multiple categories such as econimics, entertainment, news, figure, and oral. Around 400 sentences for each speaker. The valid data volumn is 292 hours. All texts are manual transcribed with high accuray.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nThai", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Thai_Speech_Data_by_Mobile_Phone_Reading", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThai speech data (reading) is collected from 498 Thailand native speakers and is recorded in quiet environment. The recording is rich in content, covering multiple categories such as econimics, entertainment, news, figure, and oral. Around 400 sentences for each speaker. The valid data volumn is 292 hours. All texts are manual transcribed with high accuray.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nThai", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Indonesian_Speech_Data_by_Mobile_Phone_Reading", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nIndonesia speech data (reading) is collected from 496 Indonesian native speakers and is recorded in quiet environment. The recording is rich in content, covering multiple categories such as econimics, entertainment, news, figure, letter, and oral. Around 400 sentences for each speaker. The valid data volumn is 360 hours. All texts are manual transcribed with high accuray.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nIndonesian", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Indonesian_Speech_Data_by_Mobile_Phone_Reading", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nIndonesia speech data (reading) is collected from 496 Indonesian native speakers and is recorded in quiet environment. The recording is rich in content, covering multiple categories such as econimics, entertainment, news, figure, letter, and oral. Around 400 sentences for each speaker. The valid data volumn is 360 hours. All texts are manual transcribed with high accuray.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nIndonesian", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Malay_Speech_Data_by_Mobile_Phone_Reading", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n156 Speakers - Mobile Telephony Malay Speech Data_Reading is recorded by native Malay speakers in the quiet environment. The recording is rich in content, covering multiple categories such as economy, entertainment, news, oral language, numbers, and letters. Around 450 sentences for each speaker. The effective time is 134 hours. All texts are manually transcribed to ensure high accuracy.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\nMalay", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Malay_Speech_Data_by_Mobile_Phone_Reading", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n156 Speakers - Mobile Telephony Malay Speech Data_Reading is recorded by native Malay speakers in the quiet environment. The recording is rich in content, covering multiple categories such as economy, entertainment, news, oral language, numbers, and letters. Around 450 sentences for each speaker. The effective time is 134 hours. All texts are manually transcribed to ensure high accuracy.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\nMalay", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/American_Children_Speech_Data_by_Microphone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nIt is recorded by 219 American children native speakers. The recording texts are mainly storybook, children's song, spoken expressions, etc. 350 sentences for each speaker. Each sentence contain 4.5 words in average. Each sentence is repeated 2.1 times in average. The recording device is hi-fi Blueyeti microphone. The texts are manually transcribed.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nAmerican English", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/American_Children_Speech_Data_by_Microphone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nIt is recorded by 219 American children native speakers. The recording texts are mainly storybook, children's song, spoken expressions, etc. 350 sentences for each speaker. Each sentence contain 4.5 words in average. Each sentence is repeated 2.1 times in average. The recording device is hi-fi Blueyeti microphone. The texts are manually transcribed.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nAmerican English", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Chinese_Young_Children_Speech_Data_by_Mobile_Phone_and_Microphone", "## 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\n- Homepage: hhttps://URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data were recorded by 797 Chinese children aged 3 to 5, of whom 39% were children aged 5. The recording content conforms to the characteristics of children, mainly storybooks, children's songs, spoken language. Around 120 sentences for each speaker. It is simultaneously recorded by hi-fi microphone and cellphone. The vaild data are 41.8 hours. Texts are manually transcribed with high accuracy.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\nMandarin Chinese", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Chinese_Young_Children_Speech_Data_by_Mobile_Phone_and_Microphone", "## 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\n- Homepage: hhttps://URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data were recorded by 797 Chinese children aged 3 to 5, of whom 39% were children aged 5. The recording content conforms to the characteristics of children, mainly storybooks, children's songs, spoken language. Around 120 sentences for each speaker. It is simultaneously recorded by hi-fi microphone and cellphone. The vaild data are 41.8 hours. Texts are manually transcribed with high accuracy.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\nMandarin Chinese", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/British_English_Speech_Data_by_Mobile_Phone_Reading", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data set contains 346 British English speakers' speech data, all of whom are English locals. Around 392 sentences of each speaker. The valid data is 199 hours. Recording environment is quiet. Recording contents contain various categories like economics, news, entertainment, commonly used spoken language, letter, figure, etc.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nBritish English", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/British_English_Speech_Data_by_Mobile_Phone_Reading", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data set contains 346 British English speakers' speech data, all of whom are English locals. Around 392 sentences of each speaker. The valid data is 199 hours. Recording environment is quiet. Recording contents contain various categories like economics, news, entertainment, commonly used spoken language, letter, figure, etc.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nBritish English", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Spanish_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data volumn is 435 hours and is recorded by 989 Spanish native speakers. The recording text is designed by linguistic experts, which covers general interactive, in-car and home category. The texts are manually proofread with high accuracy. Recording devices are mainstream Android phones and iPhones.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nSpanish", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Spanish_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data volumn is 435 hours and is recorded by 989 Spanish native speakers. The recording text is designed by linguistic experts, which covers general interactive, in-car and home category. The texts are manually proofread with high accuracy. Recording devices are mainstream Android phones and iPhones.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nSpanish", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Brazilian_Portuguese_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data volumn is 1044 hours and is recorded by 2038 Brazilian native speakers. The recording text is designed by linguistic experts, which covers general interactive, in-car and home category. The texts are manually proofread with high accuracy. Recording devices are mainstream Android phones and iPhones.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nBrazilian Portuguese", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Brazilian_Portuguese_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data volumn is 1044 hours and is recorded by 2038 Brazilian native speakers. The recording text is designed by linguistic experts, which covers general interactive, in-car and home category. The texts are manually proofread with high accuracy. Recording devices are mainstream Android phones and iPhones.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nBrazilian Portuguese", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/French_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data volumn is 769 hours and is recorded by 1623 French native speakers. The recording text is designed by linguistic experts, which covers general interactive, in-car and home category. The texts are manually proofread with high accuracy. Recording devices are mainstream Android phones and iPhones.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nFrench", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/French_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data volumn is 769 hours and is recorded by 1623 French native speakers. The recording text is designed by linguistic experts, which covers general interactive, in-car and home category. The texts are manually proofread with high accuracy. Recording devices are mainstream Android phones and iPhones.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nFrench", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Number_Speech_Data_in_Mandarin_and_Dialects_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nDigital dialect Mandarin audio data captured by mobile phone, with the duration of 66 hours; 592 people participated in the recording, with balanced gender distribution; the languages include Sichuan dialect, Cantonese, and Mandarin; content covers daily life scenes; matching with mainstream Android, Apple system mobile phones; this data set can be used for automatic speech recognition.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nMandarin, Chinese Dialects", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Number_Speech_Data_in_Mandarin_and_Dialects_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nDigital dialect Mandarin audio data captured by mobile phone, with the duration of 66 hours; 592 people participated in the recording, with balanced gender distribution; the languages include Sichuan dialect, Cantonese, and Mandarin; content covers daily life scenes; matching with mainstream Android, Apple system mobile phones; this data set can be used for automatic speech recognition.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nMandarin, Chinese Dialects", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Chinese_Wake-up_Words_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nChinese wake-up words audio data captured by mobile phone, collected from 200 people, 180 sentences per person, a total length of 24.5 hours; recording staff come from seven dialect regions with balanced gender distribution; collection environment was diversified; recorded text includes wake-up words and colloquial sentences.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nMandarin Chinsese", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Chinese_Wake-up_Words_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nChinese wake-up words audio data captured by mobile phone, collected from 200 people, 180 sentences per person, a total length of 24.5 hours; recording staff come from seven dialect regions with balanced gender distribution; collection environment was diversified; recorded text includes wake-up words and colloquial sentences.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nMandarin Chinsese", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Russian_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n1960 Russian native speakers participated in the recording with authentic accent. The recorded script is designed by linguists and cover a wide range of topics including generic, interactive, in-vehicle and home. The text is manually proofread with high accuracy. It matches with mainstream Android and Apple system phones.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nRussian", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Russian_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n1960 Russian native speakers participated in the recording with authentic accent. The recorded script is designed by linguists and cover a wide range of topics including generic, interactive, in-vehicle and home. The text is manually proofread with high accuracy. It matches with mainstream Android and Apple system phones.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nRussian", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Chinese_English_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n1,279 Chinese speakers from major dialect regions participated in the recording, it is in line with the specific accent of Chinese English speakers. The recorded script cover many categories such as spoken English, speech, and human-computer interaction, rich in content, extensive in fields, and balanced in phonemes. It can be used to improve the recognition effect of the automatic speech recognition system on Chinese people speaking English.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nChinese English", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Chinese_English_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n1,279 Chinese speakers from major dialect regions participated in the recording, it is in line with the specific accent of Chinese English speakers. The recorded script cover many categories such as spoken English, speech, and human-computer interaction, rich in content, extensive in fields, and balanced in phonemes. It can be used to improve the recognition effect of the automatic speech recognition system on Chinese people speaking English.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nChinese English", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Vietnamese_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n1751 Vietnamese native speakers participated in the recording with authentic accent. The recorded script is designed by linguists and covers a wide range of topics including generic, interactive, on-board and home. The text is manually proofread with high accuracy. It matches with mainstream Android and Apple system phones.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nVietnamese", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Vietnamese_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n1751 Vietnamese native speakers participated in the recording with authentic accent. The recorded script is designed by linguists and covers a wide range of topics including generic, interactive, on-board and home. The text is manually proofread with high accuracy. It matches with mainstream Android and Apple system phones.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nVietnamese", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Latin_American_Speaking_English_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n281 Latinos recorded in a relatively quiet environment in authentic English. The recorded script is designed by linguists and covers a wide range of topics including generic, interactive, on-board and home. The text is manually proofread with high accuracy. It matches with mainstream Android and Apple system phones.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nLatin American English", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Latin_American_Speaking_English_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n281 Latinos recorded in a relatively quiet environment in authentic English. The recorded script is designed by linguists and covers a wide range of topics including generic, interactive, on-board and home. The text is manually proofread with high accuracy. It matches with mainstream Android and Apple system phones.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nLatin American English", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Canadian_Speaking_English_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n466 native Canadian speakers involved, balanced for gender. The recording corpus is rich in content, and it covers a wide domain such as generic command and control category, human-machine interaction category; smart home category; in-car category. The transcription corpus has been manually proofread to ensure high accuracy.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nCanadian English", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Canadian_Speaking_English_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n466 native Canadian speakers involved, balanced for gender. The recording corpus is rich in content, and it covers a wide domain such as generic command and control category, human-machine interaction category; smart home category; in-car category. The transcription corpus has been manually proofread to ensure high accuracy.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nCanadian English", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Japanese_Speaking_English_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n400 native Japanese speakers involved, balanced for gender. The recording corpus is rich in content, and it covers a wide domain such as generic command and control category, human-machine interaction category; smart home category; in-car category. The transcription corpus has been manually proofread to ensure high accuracy.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nJapanese English", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Japanese_Speaking_English_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n400 native Japanese speakers involved, balanced for gender. The recording corpus is rich in content, and it covers a wide domain such as generic command and control category, human-machine interaction category; smart home category; in-car category. The transcription corpus has been manually proofread to ensure high accuracy.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nJapanese English", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Mixed_Speech_with_Korean_and_English_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data is recorded by Korean native speakers . The recorded text is a mixture of Korean and English sentences, covering general scenes and human-computer interaction scenes. It is rich in content and accurate in transcription. It can be used for improving the recognition effect of the speech recognition system on Korean-English mixed reading speech.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nKorean, English", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Mixed_Speech_with_Korean_and_English_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data is recorded by Korean native speakers . The recorded text is a mixture of Korean and English sentences, covering general scenes and human-computer interaction scenes. It is rich in content and accurate in transcription. It can be used for improving the recognition effect of the speech recognition system on Korean-English mixed reading speech.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nKorean, English", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Nexdata/Filipino_Speaking_English_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n1000 Hours Filipino English audio data captured by mobile phones, recorded by Filipino native speakers. The recorded text is designed by linguistic experts, covering generic, interactive, on-board, home and other categories. The text has been proofread manually with high accuracy; this data set can be used for automatic speech recognition, machine translation, and voiceprint recognition.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\nFilipino English", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Filipino_Speaking_English_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n1000 Hours Filipino English audio data captured by mobile phones, recorded by Filipino native speakers. The recorded text is designed by linguistic experts, covering generic, interactive, on-board, home and other categories. The text has been proofread manually with high accuracy; this data set can be used for automatic speech recognition, machine translation, and voiceprint recognition.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\nFilipino English", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Nexdata/Japanese_Synthesis_Corpus-Female", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n10.4 Hours - Japanese Synthesis Corpus-Female. It is recorded by Japanese native speaker, with authentic accent. The phoneme coverage is balanced. Professional phonetician participates in the annotation. It precisely matches with the research and development needs of the speech synthesis.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\ntts: The dataset can be used to train a model for Text to Speech (TTS).", "### Languages\n\nJapanese", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Japanese_Synthesis_Corpus-Female", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n10.4 Hours - Japanese Synthesis Corpus-Female. It is recorded by Japanese native speaker, with authentic accent. The phoneme coverage is balanced. Professional phonetician participates in the annotation. It precisely matches with the research and development needs of the speech synthesis.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\ntts: The dataset can be used to train a model for Text to Speech (TTS).", "### Languages\n\nJapanese", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Nexdata/Interspeech2020_Accented_English_Speech_Recognition_Competition_Data", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nInterspeech2,020 Accented English Speech Recognition Competition Data. The text has been proofread manually with high accuracy; this data set can be used for automatic speech recognition, machine translation, and voiceprint recognition.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nAccented English", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Interspeech2020_Accented_English_Speech_Recognition_Competition_Data", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nInterspeech2,020 Accented English Speech Recognition Competition Data. The text has been proofread manually with high accuracy; this data set can be used for automatic speech recognition, machine translation, and voiceprint recognition.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nAccented English", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

[]

[]

[ "# SentEval Customer Reviews\n\nThis dataset is a port of the official SentEval 'CR' dataset from this paper. The test split was created from the by randomly sampling 20% of the original data and the train split is the remaining 80%. there are no official train/test splits of CR.\nThere is no validation split. This was used in the STraTA paper." ]

[ "TAGS\n#region-us \n", "# SentEval Customer Reviews\n\nThis dataset is a port of the official SentEval 'CR' dataset from this paper. The test split was created from the by randomly sampling 20% of the original data and the train split is the remaining 80%. there are no official train/test splits of CR.\nThere is no validation split. This was used in the STraTA paper." ]

[ "task_categories:token-classification", "task_ids:named-entity-recognition", "multilinguality:monolingual", "language:es", "license:cc-by-4.0", "region:us" ]

[]

[ "es" ]

[ "# CT-EBM-SP (Clinical Trials for Evidence-based Medicine in Spanish)", "## 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\n- Homepage: URL\n- Repository: URL\n- Paper: Campillos-Llanos, L., Valverde-Mateos, A., Capllonch-Carrión, A., & Moreno-Sandoval, A. (2021). A clinical trials corpus annotated with UMLS entities to enhance the access to evidence-based medicine. BMC medical informatics and decision making, 21(1), 1-19\n- Point of Contact: leonardo.campillos AT URL", "### Dataset Summary\n\nThe Clinical Trials for Evidence-Based-Medicine in Spanish corpus is a collection of 1200 texts about clinical trials studies and clinical trials announcements:\n- 500 abstracts from journals published under a Creative Commons license, e.g. available in PubMed or the Scientific Electronic Library Online (SciELO)\n- 700 clinical trials announcements published in the European Clinical Trials Register and Repositorio Español de Estudios Clínicos\n\nIf you use the CT-EBM-SP resource, please, cite as follows:", "### Supported Tasks \n\nMedical Named Entity Recognition", "### Languages\n\nSpanish", "## Dataset Structure", "### Data Instances\n- 292 173 tokens\n- 46 699 entities of the following Unified Medical Language System (UMLS) semantic groups: \n - ANAT (anatomy and body parts): 6728 entities\n - CHEM (chemical and pharmacological substances): 9224 entities\n - DISO (pathologic conditions): 13 067 entities\n - PROC (therapeutic and diagnostic procedures, and laboratory analyses): 17 680 entities", "### Data Splits\n\n- Train: 175 203 tokens, 28 101 entities\n- Development: 58 670 tokens, 9629 entities\n- Test: 58 300 tokens, 8969 entities", "## Dataset Creation", "### Source Data\n\n- Abstracts from journals published under a Creative Commons license, available in PubMed or the Scientific Electronic Library Online (SciELO)\n- Clinical trials announcements published in the European Clinical Trials Register and Repositorio Español de Estudios Clínicos", "### Annotations", "#### Who are the annotators?\n\n- Leonardo Campillos-Llanos, Computational Linguist, Consejo Superior de Investigaciones Científicas\n- Adrián Capllonch-Carrión, Medical Doctor, Centro de Salud Retiro, Hospital Universitario Gregorio Marañón\n- Ana Valverde-Mateos, Medical Lexicographer, Spanish Royal Academy of Medicine", "## Considerations for Using the Data\n\nDisclosure: This dataset is under development and needs to be improved. It should not be used for medical decision making without human assistance and supervision.\n\nThis resource is intended for a generalist purpose, and may have bias and/or any other undesirable distortions.\n\nThe owner or creator of the models will in no event be liable for any results arising from the use made by third parties of this dataset.\n\nDescargo de responsabilidad: Este conjunto de datos se encuentra en desarrollo y no debe ser empleada para la toma de decisiones médicas\n\nLa finalidad de este modelo es generalista, y puede tener sesgos y/u otro tipo de distorsiones indeseables.\n\nEl propietario o creador de los modelos de ningún modo será responsable de los resultados derivados del uso que las terceras partes hagan de estos datos." ]

[ "TAGS\n#task_categories-token-classification #task_ids-named-entity-recognition #multilinguality-monolingual #language-Spanish #license-cc-by-4.0 #region-us \n", "# CT-EBM-SP (Clinical Trials for Evidence-based Medicine in Spanish)", "## 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\n- Homepage: URL\n- Repository: URL\n- Paper: Campillos-Llanos, L., Valverde-Mateos, A., Capllonch-Carrión, A., & Moreno-Sandoval, A. (2021). A clinical trials corpus annotated with UMLS entities to enhance the access to evidence-based medicine. BMC medical informatics and decision making, 21(1), 1-19\n- Point of Contact: leonardo.campillos AT URL", "### Dataset Summary\n\nThe Clinical Trials for Evidence-Based-Medicine in Spanish corpus is a collection of 1200 texts about clinical trials studies and clinical trials announcements:\n- 500 abstracts from journals published under a Creative Commons license, e.g. available in PubMed or the Scientific Electronic Library Online (SciELO)\n- 700 clinical trials announcements published in the European Clinical Trials Register and Repositorio Español de Estudios Clínicos\n\nIf you use the CT-EBM-SP resource, please, cite as follows:", "### Supported Tasks \n\nMedical Named Entity Recognition", "### Languages\n\nSpanish", "## Dataset Structure", "### Data Instances\n- 292 173 tokens\n- 46 699 entities of the following Unified Medical Language System (UMLS) semantic groups: \n - ANAT (anatomy and body parts): 6728 entities\n - CHEM (chemical and pharmacological substances): 9224 entities\n - DISO (pathologic conditions): 13 067 entities\n - PROC (therapeutic and diagnostic procedures, and laboratory analyses): 17 680 entities", "### Data Splits\n\n- Train: 175 203 tokens, 28 101 entities\n- Development: 58 670 tokens, 9629 entities\n- Test: 58 300 tokens, 8969 entities", "## Dataset Creation", "### Source Data\n\n- Abstracts from journals published under a Creative Commons license, available in PubMed or the Scientific Electronic Library Online (SciELO)\n- Clinical trials announcements published in the European Clinical Trials Register and Repositorio Español de Estudios Clínicos", "### Annotations", "#### Who are the annotators?\n\n- Leonardo Campillos-Llanos, Computational Linguist, Consejo Superior de Investigaciones Científicas\n- Adrián Capllonch-Carrión, Medical Doctor, Centro de Salud Retiro, Hospital Universitario Gregorio Marañón\n- Ana Valverde-Mateos, Medical Lexicographer, Spanish Royal Academy of Medicine", "## Considerations for Using the Data\n\nDisclosure: This dataset is under development and needs to be improved. It should not be used for medical decision making without human assistance and supervision.\n\nThis resource is intended for a generalist purpose, and may have bias and/or any other undesirable distortions.\n\nThe owner or creator of the models will in no event be liable for any results arising from the use made by third parties of this dataset.\n\nDescargo de responsabilidad: Este conjunto de datos se encuentra en desarrollo y no debe ser empleada para la toma de decisiones médicas\n\nLa finalidad de este modelo es generalista, y puede tener sesgos y/u otro tipo de distorsiones indeseables.\n\nEl propietario o creador de los modelos de ningún modo será responsable de los resultados derivados del uso que las terceras partes hagan de estos datos." ]

[ "task_categories:feature-extraction", "task_categories:zero-shot-classification", "annotations_creators:found", "language_creators:found", "multilinguality:monolingual", "size_categories:100K<n<1M", "language:en", "license:mit", "region:us" ]

[]

[ "en" ]

[ "### Dataset Summary\n\n\nCLIP-Kinetics700 is a compressed version of the Kinetics700 dataset using OpenAI's CLIP model.\n\n\nThe original dataset is ~700 GB making it difficult to use and hold in memory on one machine. By downsampling each video to 1 FPS and encoding the frames using CLIP we we're able to compress the dataset to ~8 GB making it very memory-friendly and easy to use.", "### Dataset Preprocessing\n\n\nclip-video-encode is a tool you can use to easily and efficiently compute CLIP embeddings from video frames. We used it to generate the embeddings for this dataset.\n\n\nDataset Structure\n-----------------", "### Data Format\n\n\nWe formatted this as a WebDataset for better data-loading performance when training the models.\nEach split contains a list of tar files each with 10000 data samples. This format can be read and used easily using the EmbeddingWebDatasetReader from clip-video-encode.", "### Data Fields\n\n\n* URL: the numpy array with the per-frame embeddings. Shape -> (n\\_frames, 512)\n* URL: the \"caption\" of the video. In this case it is the Kinetics700 label.\n* URL: additional metadata - YouTube video ID, start time, end time.", "### Data Splits\n\n\n* Train - 536489 samples | 54 tar's\n* Validation - 33966 samples | 4 tar's\n* Test - 64532 samples | 7 tar's\n\n\nDataset Creation\n----------------", "### Source Data\n\n\nData was sourced from DeepMind's Kinetics700 dataset and downloaded using this convenient repository.\n\n\nSimple Experiments\n------------------\n\n\nUsing this repository we evaluate CLIP-Kinetics700 with the following simple methods:", "### Zero-shot Evaluation", "### Linear-probe Evaluation" ]

[ "TAGS\n#task_categories-feature-extraction #task_categories-zero-shot-classification #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #language-English #license-mit #region-us \n", "### Dataset Summary\n\n\nCLIP-Kinetics700 is a compressed version of the Kinetics700 dataset using OpenAI's CLIP model.\n\n\nThe original dataset is ~700 GB making it difficult to use and hold in memory on one machine. By downsampling each video to 1 FPS and encoding the frames using CLIP we we're able to compress the dataset to ~8 GB making it very memory-friendly and easy to use.", "### Dataset Preprocessing\n\n\nclip-video-encode is a tool you can use to easily and efficiently compute CLIP embeddings from video frames. We used it to generate the embeddings for this dataset.\n\n\nDataset Structure\n-----------------", "### Data Format\n\n\nWe formatted this as a WebDataset for better data-loading performance when training the models.\nEach split contains a list of tar files each with 10000 data samples. This format can be read and used easily using the EmbeddingWebDatasetReader from clip-video-encode.", "### Data Fields\n\n\n* URL: the numpy array with the per-frame embeddings. Shape -> (n\\_frames, 512)\n* URL: the \"caption\" of the video. In this case it is the Kinetics700 label.\n* URL: additional metadata - YouTube video ID, start time, end time.", "### Data Splits\n\n\n* Train - 536489 samples | 54 tar's\n* Validation - 33966 samples | 4 tar's\n* Test - 64532 samples | 7 tar's\n\n\nDataset Creation\n----------------", "### Source Data\n\n\nData was sourced from DeepMind's Kinetics700 dataset and downloaded using this convenient repository.\n\n\nSimple Experiments\n------------------\n\n\nUsing this repository we evaluate CLIP-Kinetics700 with the following simple methods:", "### Zero-shot Evaluation", "### Linear-probe Evaluation" ]

[ "task_categories:text-generation", "task_ids:language-modeling", "language_creators:crowdsourced", "language_creators:expert-generated", "multilinguality:muonolingual", "size_categories:unknown", "language:code", "license:other", "region:us" ]

[]

[ "code" ]

[ "# GitHub Jupyter Dataset", "## Dataset Description\nThe dataset was extracted from Jupyter Notebooks on BigQuery.", "## Licenses\nEach example has the license of its associated repository. There are in total 15 licenses:" ]

[ "TAGS\n#task_categories-text-generation #task_ids-language-modeling #language_creators-crowdsourced #language_creators-expert-generated #multilinguality-muonolingual #size_categories-unknown #language-code #license-other #region-us \n", "# GitHub Jupyter Dataset", "## Dataset Description\nThe dataset was extracted from Jupyter Notebooks on BigQuery.", "## Licenses\nEach example has the license of its associated repository. There are in total 15 licenses:" ]

[ "region:us" ]

[]

[]

[ "# Laion-Face\n\nLAION-Face is the human face subset of LAION-400M, it consists of 50 million image-text pairs. Face detection is conducted to find images with faces. Apart from the 50 million full-set(LAION-Face 50M), there is a 20 million sub-set(LAION-Face 20M) for fast evaluation. \n\nLAION-Face is first used as the training set of FaRL, which provides powerful pre-training transformer backbones for face analysis tasks.\n\nFor more details, please check the offical repo at URL .", "## Download and convert metadata", "## Download the images with img2dataset\nWhen metadata is ready, you can start download the images.\n\n\n\nPlease be patient, this command might run over days, and cost about 2T disk space, and it will download 50 million image-text pairs as 32 parts.\n\n- To use the LAION-Face 50M, you should use all the 32 parts.\n- To use the LAION-Face 20M, you should use these parts.\n \n\ncheckout 'URL' and img2dataset for more details and parameter setting." ]

[ "TAGS\n#region-us \n", "# Laion-Face\n\nLAION-Face is the human face subset of LAION-400M, it consists of 50 million image-text pairs. Face detection is conducted to find images with faces. Apart from the 50 million full-set(LAION-Face 50M), there is a 20 million sub-set(LAION-Face 20M) for fast evaluation. \n\nLAION-Face is first used as the training set of FaRL, which provides powerful pre-training transformer backbones for face analysis tasks.\n\nFor more details, please check the offical repo at URL .", "## Download and convert metadata", "## Download the images with img2dataset\nWhen metadata is ready, you can start download the images.\n\n\n\nPlease be patient, this command might run over days, and cost about 2T disk space, and it will download 50 million image-text pairs as 32 parts.\n\n- To use the LAION-Face 50M, you should use all the 32 parts.\n- To use the LAION-Face 20M, you should use these parts.\n \n\ncheckout 'URL' and img2dataset for more details and parameter setting." ]

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

[]

[ "en" ]

[ "# SummEval\nThe annotations include summaries generated by 16 models from 100 source news articles (1600 examples in total).\nEach of the summaries was annotated by 5 indepedent crowdsource workers and 3 independent experts (8 annotations in total).\nSummaries were evaluated across 4 dimensions: coherence, consistency, fluency, relevance.\nEach source news article comes with the original reference from the CNN/DailyMail dataset and 10 additional crowdsources reference summaries.\n\nFor this dataset, we averaged the 3 expert annotations to get the human scores.\n\nsource: URL" ]

[ "TAGS\n#language-English #region-us \n", "# SummEval\nThe annotations include summaries generated by 16 models from 100 source news articles (1600 examples in total).\nEach of the summaries was annotated by 5 indepedent crowdsource workers and 3 independent experts (8 annotations in total).\nSummaries were evaluated across 4 dimensions: coherence, consistency, fluency, relevance.\nEach source news article comes with the original reference from the CNN/DailyMail dataset and 10 additional crowdsources reference summaries.\n\nFor this dataset, we averaged the 3 expert annotations to get the human scores.\n\nsource: URL" ]

[ "task_categories:summarization", "task_categories:text2text-generation", "task_categories:text-generation", "task_ids:news-articles-headline-generation", "task_ids:text-simplification", "task_ids:language-modeling", "annotations_creators:other", "language_creators:other", "multilinguality:monolingual", "size_categories:1K<n<10K", "source_datasets:original", "language:en", "region:us" ]

[]

[ "en" ]

[ "# Dataset Card for 'tldr_news'", "## Table of Contents\n\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: URL", "### Dataset Summary\n\nThe 'tldr_news' dataset was constructed by collecting a daily tech newsletter (available\nhere). Then, for every piece of news, the 'headline' and its corresponding '\ncontent' were extracted.\nAlso, the newsletter contain different sections. We add this extra information to every piece of news.\n\nSuch a dataset can be used to train a model to generate a headline from a input piece of text.", "### Supported Tasks and Leaderboards\n\nThere is no official supported tasks nor leaderboard for this dataset. However, it could be used for the following\ntasks:\n\n- summarization\n- headline generation", "### Languages\n\nen", "## Dataset Structure", "### Data Instances\n\nA data point comprises a \"headline\" and its corresponding \"content\".\nAn example is as follows:", "### Data Fields\n\n- 'headline (str)': the piece of news' headline\n- 'content (str)': the piece of news\n- 'category (str)': newsletter section", "### Data Splits\n\n- 'all': all existing daily newsletters available here.", "## Dataset Creation", "### Curation Rationale\n\nThis dataset was obtained by scrapping the collecting all the existing newsletter\navailable here.\n\nEvery single newsletter was then processed to extract all the different pieces of news. Then for every collected piece\nof news the headline and the news content were extracted.", "### Source Data", "#### Initial Data Collection and Normalization\n\nThe dataset was has been collected from URL\n\nIn order to clean up the samples and to construct a dataset better suited for headline generation we have applied a\ncouple of normalization steps:\n\n1. The headlines initially contain an estimated read time in parentheses; we stripped this information from the\n headline.\n2. Some news are sponsored and thus do not belong to any newsletter section. We create an additional category \"Sponsor\"\n for such samples.", "#### Who are the source language producers?\n\nThe people (or person) behind the URL newsletter.", "### Annotations", "#### Annotation process\n\nDisclaimers: The dataset was generated from a daily newsletter. The author had no intention for those newsletters to be\nused as such.", "#### Who are the annotators?\n\nThe newsletters were written by the people behind *TLDR tech*.", "### Personal and Sensitive Information", "## Considerations for Using the Data", "### Social Impact of Dataset", "### Discussion of Biases\n\nThis dataset only contains tech news. A model trained on such a dataset might not be able to generalize to other domain.", "### Other Known Limitations", "## Additional Information", "### Dataset Curators\n\nThe dataset was obtained by collecting newsletters from this website: URL", "### Contributions\n\nThanks to @JulesBelveze for adding this dataset." ]

[ "TAGS\n#task_categories-summarization #task_categories-text2text-generation #task_categories-text-generation #task_ids-news-articles-headline-generation #task_ids-text-simplification #task_ids-language-modeling #annotations_creators-other #language_creators-other #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #region-us \n", "# Dataset Card for 'tldr_news'", "## Table of Contents\n\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: URL", "### Dataset Summary\n\nThe 'tldr_news' dataset was constructed by collecting a daily tech newsletter (available\nhere). Then, for every piece of news, the 'headline' and its corresponding '\ncontent' were extracted.\nAlso, the newsletter contain different sections. We add this extra information to every piece of news.\n\nSuch a dataset can be used to train a model to generate a headline from a input piece of text.", "### Supported Tasks and Leaderboards\n\nThere is no official supported tasks nor leaderboard for this dataset. However, it could be used for the following\ntasks:\n\n- summarization\n- headline generation", "### Languages\n\nen", "## Dataset Structure", "### Data Instances\n\nA data point comprises a \"headline\" and its corresponding \"content\".\nAn example is as follows:", "### Data Fields\n\n- 'headline (str)': the piece of news' headline\n- 'content (str)': the piece of news\n- 'category (str)': newsletter section", "### Data Splits\n\n- 'all': all existing daily newsletters available here.", "## Dataset Creation", "### Curation Rationale\n\nThis dataset was obtained by scrapping the collecting all the existing newsletter\navailable here.\n\nEvery single newsletter was then processed to extract all the different pieces of news. Then for every collected piece\nof news the headline and the news content were extracted.", "### Source Data", "#### Initial Data Collection and Normalization\n\nThe dataset was has been collected from URL\n\nIn order to clean up the samples and to construct a dataset better suited for headline generation we have applied a\ncouple of normalization steps:\n\n1. The headlines initially contain an estimated read time in parentheses; we stripped this information from the\n headline.\n2. Some news are sponsored and thus do not belong to any newsletter section. We create an additional category \"Sponsor\"\n for such samples.", "#### Who are the source language producers?\n\nThe people (or person) behind the URL newsletter.", "### Annotations", "#### Annotation process\n\nDisclaimers: The dataset was generated from a daily newsletter. The author had no intention for those newsletters to be\nused as such.", "#### Who are the annotators?\n\nThe newsletters were written by the people behind *TLDR tech*.", "### Personal and Sensitive Information", "## Considerations for Using the Data", "### Social Impact of Dataset", "### Discussion of Biases\n\nThis dataset only contains tech news. A model trained on such a dataset might not be able to generalize to other domain.", "### Other Known Limitations", "## Additional Information", "### Dataset Curators\n\nThe dataset was obtained by collecting newsletters from this website: URL", "### Contributions\n\nThanks to @JulesBelveze for adding this dataset." ]

[ "license:cc-by-sa-4.0", "region:us" ]

[]

[]

[ "## COLD: Complex Offensive Language Dataset\n\nIf you use this dataset, please cite the following paper (BibTex below):\n\nAlexis Palmer, Christine Carr, Melissa Robinson, and Jordan Sanders. 2020 (to appear). COLD: Annotation scheme and evaluation data set for complex offensive language in English. *Journal of Linguistics and Computational Linguistics*.", "## Overview of data\n\nThe COLD data set is intended for researchers to diagnose and assess their automatic hate speech detection systems. The corpus highlights 4 different types of complex offensive language: slurs, reclaimed slurs, adjective nominalization, distancing, and also non-offensive texts. The corpus contains a set of tweets collected from 3 different data sets: Davidson et al (2017), Waseem and Hovy (2016), and Robinson (2017). The data is annotated by 6 annotators, with each instance being annotated by at least 3 different annotators. \n\nCOLD-2016 is the data set used for the analyses and experimental results described in the JLCL paper. This version of the data set contains 2016 instances, selected using filters aiming to capture the complex offensive language types listed above.", "## Format and annotations\n\nThe data are made available here as .tsv files. The format consists of eight columns: four informational and four annotation-related.", "### Informational columns:\n1. ID - information about the original data set and the textual instance's ID from the data set it was extracted from. The ID includes a letter indicating which data set it originates from, followed by a hyphen and the corresponding ID of the instance in the original data set. For example: D-63 means that the instance is from the Davidson et al. (2017) data set, originally with the ID number 63.\n\n2. Dataset - a letter indicating from which dataset this instance originates.\n3. Text - the text of the instance.", "### Majority Vote Columns:\n\nFor each instance, annotators were asked to answer Yes or No to each of four questions. Theses columns are the majority vote from three annotators (See the paper for much more detailed discussion, as well as distributions, etc.)\n\n1. Off Is this text offensive?\n\n2. Slur Is there a slur in the text?\n\n3. Nom Is there an adjectival nominalization in the text?\n\n4. Dist Is there (linguistic) distancing in the text?", "### Individual Annotator Columns:\nFor each instance, annotators were asked to answer Yes or No to each of four questions. Theses columns are the individual response from each annotators (See the paper for much more detailed discussion, as well as distributions, etc.)\n\n1. Off1/2/3 Is this text offensive?\n\n2. Slur1/2/3 Is there a slur in the text?\n\n3. Nom1/2/3 Is there an adjectival nominalization in the text?\n\n4. Dist1/2/3 Is there (linguistic) distancing in the text?", "### Category\n\n1. Cat This column is deduced based on the majority votes for OFF/SLUR/NOM/DIST. (See the paper for detailed explination the categories, as well as distributions, etc.)", "## Contact\nIf you have any questions please contact carrc9953@URL, URL@URL, or melissa.robinson@URL.", "## BibTex", "## References\n\nDavidson, T., Wamsley, D., Macy, M., & Weber, I. (2017). Automated hate speech detection and \nthe problem of offensive language. In Eleventh international conference on web and \nsocial media. <a href=\"URL paper]</a>, <a href=\"URL repository]</a>\n\nRobinson, M. (2018). A man needs a female like a fish needs a lobotomy: The role of adjectival \nnominalization in pejorative meaning. Master's thesis, Department of Linguistics, University of North Texas.\n<a href=\"URL thesis]</a>\n\nWaseem, Z., & Hovy, D. (2016). Hateful Symbols or Hateful People? Predictive Features for \nHate Speech Detection on Twitter. In Proceedings of the NAACL Student Research Workshop. San Diego, California.\n<a href=\"URL paper]</a>" ]

[ "TAGS\n#license-cc-by-sa-4.0 #region-us \n", "## COLD: Complex Offensive Language Dataset\n\nIf you use this dataset, please cite the following paper (BibTex below):\n\nAlexis Palmer, Christine Carr, Melissa Robinson, and Jordan Sanders. 2020 (to appear). COLD: Annotation scheme and evaluation data set for complex offensive language in English. *Journal of Linguistics and Computational Linguistics*.", "## Overview of data\n\nThe COLD data set is intended for researchers to diagnose and assess their automatic hate speech detection systems. The corpus highlights 4 different types of complex offensive language: slurs, reclaimed slurs, adjective nominalization, distancing, and also non-offensive texts. The corpus contains a set of tweets collected from 3 different data sets: Davidson et al (2017), Waseem and Hovy (2016), and Robinson (2017). The data is annotated by 6 annotators, with each instance being annotated by at least 3 different annotators. \n\nCOLD-2016 is the data set used for the analyses and experimental results described in the JLCL paper. This version of the data set contains 2016 instances, selected using filters aiming to capture the complex offensive language types listed above.", "## Format and annotations\n\nThe data are made available here as .tsv files. The format consists of eight columns: four informational and four annotation-related.", "### Informational columns:\n1. ID - information about the original data set and the textual instance's ID from the data set it was extracted from. The ID includes a letter indicating which data set it originates from, followed by a hyphen and the corresponding ID of the instance in the original data set. For example: D-63 means that the instance is from the Davidson et al. (2017) data set, originally with the ID number 63.\n\n2. Dataset - a letter indicating from which dataset this instance originates.\n3. Text - the text of the instance.", "### Majority Vote Columns:\n\nFor each instance, annotators were asked to answer Yes or No to each of four questions. Theses columns are the majority vote from three annotators (See the paper for much more detailed discussion, as well as distributions, etc.)\n\n1. Off Is this text offensive?\n\n2. Slur Is there a slur in the text?\n\n3. Nom Is there an adjectival nominalization in the text?\n\n4. Dist Is there (linguistic) distancing in the text?", "### Individual Annotator Columns:\nFor each instance, annotators were asked to answer Yes or No to each of four questions. Theses columns are the individual response from each annotators (See the paper for much more detailed discussion, as well as distributions, etc.)\n\n1. Off1/2/3 Is this text offensive?\n\n2. Slur1/2/3 Is there a slur in the text?\n\n3. Nom1/2/3 Is there an adjectival nominalization in the text?\n\n4. Dist1/2/3 Is there (linguistic) distancing in the text?", "### Category\n\n1. Cat This column is deduced based on the majority votes for OFF/SLUR/NOM/DIST. (See the paper for detailed explination the categories, as well as distributions, etc.)", "## Contact\nIf you have any questions please contact carrc9953@URL, URL@URL, or melissa.robinson@URL.", "## BibTex", "## References\n\nDavidson, T., Wamsley, D., Macy, M., & Weber, I. (2017). Automated hate speech detection and \nthe problem of offensive language. In Eleventh international conference on web and \nsocial media. <a href=\"URL paper]</a>, <a href=\"URL repository]</a>\n\nRobinson, M. (2018). A man needs a female like a fish needs a lobotomy: The role of adjectival \nnominalization in pejorative meaning. Master's thesis, Department of Linguistics, University of North Texas.\n<a href=\"URL thesis]</a>\n\nWaseem, Z., & Hovy, D. (2016). Hateful Symbols or Hateful People? Predictive Features for \nHate Speech Detection on Twitter. In Proceedings of the NAACL Student Research Workshop. San Diego, California.\n<a href=\"URL paper]</a>" ]

[ "region:us" ]

[]

[]

[]

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

[ "benchmark:gem", "evaluation", "benchmark", "region:us" ]

[]

[]

[ "# GEM Submission\nSubmission name: This is a test name" ]

[ "TAGS\n#benchmark-gem #evaluation #benchmark #region-us \n", "# GEM Submission\nSubmission name: This is a test name" ]

[ "license:unknown", "region:us" ]

[]

[]

[ "# Dataset Card for Electrical half hourly raw and cleaned datasets for Great Britain from 2008-11-05", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n<p><strong>A journal paper published in Energy Strategy Reviews details the method to create the data.</strong></p>\n\n<p><strong>URL\n\n<p>&nbsp;</p>\n\n<p>2021-09-09: Version 6.0.0 was created. Now includes data for the North Sea Link (NSL) interconnector from Great Britain to Norway (URL). The previous version (5.0.4) should not be used - as there was an error with interconnector data having a static value over the summer 2021.</p>\n\n<p>&nbsp;</p>\n\n<p>2021-05-05: Version 5.0.0 was created. Datetimes now in ISO 8601 format (with capital letter &#39;T&#39; between the date and time) rather than previously with a space (to RFC 3339 format) and with an offset to identify both UTC and localtime. MW values now all saved as integers rather than floats. Elexon data as always from URL National Grid data from&nbsp;URL &nbsp; Raw data now added again for comparison of pre and post cleaning - to allow for training of additional cleaning methods. If using Microsoft Excel, the T between the date and time can be removed using the =SUBSTITUTE() command - and substitute &quot;T&quot; for a space &quot; &quot;</p>\n\n<p>_____________________________________________________________________________________________________</p>\n\n<p>2021-03-02: Version 4.0.0 was created. Due to a new interconnecter (IFA2 -&nbsp;URL being commissioned in Q1 2021, there is an additional column with data from National Grid - this is called &#39;POWER_NGEM_IFA2_FLOW_MW&#39; in the espeni dataset. In addition, National Grid has dropped&nbsp;the column name &#39;FRENCH_FLOW&#39; that used to provide&nbsp;the value for the column&nbsp;&#39;POWER_NGEM_FRENCH_FLOW_MW&#39; in previous espeni versions. However, this has been changed to &#39;IFA_FLOW&#39; in National Grid&#39;s original data, which is now called &#39;POWER_NGEM_IFA_FLOW_MW&#39; in the espeni dataset. Lastly, the IO14 columns have all been dropped by National Grid - and potentially unlikely to appear again in future.</p>\n\n<p>2020-12-02: Version 3.0.0 was created. There was a problem with earlier versions&nbsp;local time format - where the +01:00 value was not carried through into the data properly. Now addressed - therefore - local time now has the format e.g.&nbsp;2020-03-31 20:00:00+01:00 when in British Summer Time.</p>\n\n<p>2020-10-03: Version 2.0.0 was created as it looks like National Grid has&nbsp;had a significant change&nbsp;to the methodology underpinning the embedded wind calculations. The wind profile seems similar to previous values, but with an increasing value in comparison&nbsp;to the value published in earlier&nbsp;the greater the embedded value is. The &#39;new&#39; values are from&nbsp;URL from 2013.</p>\n\n<p>Previously: raw and cleaned datasets for Great Britain&#39;s&nbsp;publicly available electrical data from&nbsp;Elexon (URL) and National Grid (URL Updated versions with more recent data will be uploaded with a differing&nbsp;version number and doi</p>\n\n<p>All data is released in accordance with Elexon&#39;s disclaimer and reservation of rights.</p>\n\n<p>URL\n\n<p>This disclaimer is also felt to cover&nbsp;the data from National Grid, and the parsed data from the Energy Informatics Group at the University of Birmingham.</p>", "### Supported Tasks and Leaderboards", "### Languages\n\nThe class labels in the dataset are in English", "## Dataset Structure", "### 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\n\nThis dataset was shared by Grant Wilson, Noah Godfrey", "### Licensing Information\n\nThe license for this dataset is URL", "### Contributions\n\nThanks to @github-username for adding this dataset." ]

[ "TAGS\n#license-unknown #region-us \n", "# Dataset Card for Electrical half hourly raw and cleaned datasets for Great Britain from 2008-11-05", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n<p><strong>A journal paper published in Energy Strategy Reviews details the method to create the data.</strong></p>\n\n<p><strong>URL\n\n<p>&nbsp;</p>\n\n<p>2021-09-09: Version 6.0.0 was created. Now includes data for the North Sea Link (NSL) interconnector from Great Britain to Norway (URL). The previous version (5.0.4) should not be used - as there was an error with interconnector data having a static value over the summer 2021.</p>\n\n<p>&nbsp;</p>\n\n<p>2021-05-05: Version 5.0.0 was created. Datetimes now in ISO 8601 format (with capital letter &#39;T&#39; between the date and time) rather than previously with a space (to RFC 3339 format) and with an offset to identify both UTC and localtime. MW values now all saved as integers rather than floats. Elexon data as always from URL National Grid data from&nbsp;URL &nbsp; Raw data now added again for comparison of pre and post cleaning - to allow for training of additional cleaning methods. If using Microsoft Excel, the T between the date and time can be removed using the =SUBSTITUTE() command - and substitute &quot;T&quot; for a space &quot; &quot;</p>\n\n<p>_____________________________________________________________________________________________________</p>\n\n<p>2021-03-02: Version 4.0.0 was created. Due to a new interconnecter (IFA2 -&nbsp;URL being commissioned in Q1 2021, there is an additional column with data from National Grid - this is called &#39;POWER_NGEM_IFA2_FLOW_MW&#39; in the espeni dataset. In addition, National Grid has dropped&nbsp;the column name &#39;FRENCH_FLOW&#39; that used to provide&nbsp;the value for the column&nbsp;&#39;POWER_NGEM_FRENCH_FLOW_MW&#39; in previous espeni versions. However, this has been changed to &#39;IFA_FLOW&#39; in National Grid&#39;s original data, which is now called &#39;POWER_NGEM_IFA_FLOW_MW&#39; in the espeni dataset. Lastly, the IO14 columns have all been dropped by National Grid - and potentially unlikely to appear again in future.</p>\n\n<p>2020-12-02: Version 3.0.0 was created. There was a problem with earlier versions&nbsp;local time format - where the +01:00 value was not carried through into the data properly. Now addressed - therefore - local time now has the format e.g.&nbsp;2020-03-31 20:00:00+01:00 when in British Summer Time.</p>\n\n<p>2020-10-03: Version 2.0.0 was created as it looks like National Grid has&nbsp;had a significant change&nbsp;to the methodology underpinning the embedded wind calculations. The wind profile seems similar to previous values, but with an increasing value in comparison&nbsp;to the value published in earlier&nbsp;the greater the embedded value is. The &#39;new&#39; values are from&nbsp;URL from 2013.</p>\n\n<p>Previously: raw and cleaned datasets for Great Britain&#39;s&nbsp;publicly available electrical data from&nbsp;Elexon (URL) and National Grid (URL Updated versions with more recent data will be uploaded with a differing&nbsp;version number and doi</p>\n\n<p>All data is released in accordance with Elexon&#39;s disclaimer and reservation of rights.</p>\n\n<p>URL\n\n<p>This disclaimer is also felt to cover&nbsp;the data from National Grid, and the parsed data from the Energy Informatics Group at the University of Birmingham.</p>", "### Supported Tasks and Leaderboards", "### Languages\n\nThe class labels in the dataset are in English", "## Dataset Structure", "### 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\n\nThis dataset was shared by Grant Wilson, Noah Godfrey", "### Licensing Information\n\nThe license for this dataset is URL", "### Contributions\n\nThanks to @github-username for adding this dataset." ]

[ "license:cc0-1.0", "region:us" ]

[]

[]

[ "# Dataset Card for Airbnb Stock Price", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThis contains the historical stock price of Airbnb (ticker symbol ABNB) an American company that operates an online marketplace for lodging, primarily homestays for vacation rentals, and tourism activities. Based in San Francisco, California, the platform is accessible via website and mobile app.", "### Supported Tasks and Leaderboards", "### Languages", "## Dataset Structure", "### 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\n\nThis dataset was shared by @evangower", "### Licensing Information\n\nThe license for this dataset is cc0-1.0", "### Contributions" ]

[ "TAGS\n#license-cc0-1.0 #region-us \n", "# Dataset Card for Airbnb Stock Price", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThis contains the historical stock price of Airbnb (ticker symbol ABNB) an American company that operates an online marketplace for lodging, primarily homestays for vacation rentals, and tourism activities. Based in San Francisco, California, the platform is accessible via website and mobile app.", "### Supported Tasks and Leaderboards", "### Languages", "## Dataset Structure", "### 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\n\nThis dataset was shared by @evangower", "### Licensing Information\n\nThe license for this dataset is cc0-1.0", "### Contributions" ]

[ "license:unknown", "region:us" ]

[]

[]

[ "# Dataset Card for Hyperbard (Dataset)", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n<p>First release of <a href=\"URL\">Hyperbard</a>.</p>\n\n<p>Hyperbard is a dataset of diverse relational data representations derived from Shakespeare&#39;s plays. Our representations range from simple graphs capturing character co-occurrence in single scenes to hypergraphs encoding complex communication settings and character contributions as hyperedges with edge-specific node weights. By making multiple intuitive representations readily available for experimentation, we facilitate rigorous representation robustness checks in graph learning, graph mining, and network analysis, highlighting the advantages and drawbacks of specific representations.&nbsp;</p>\n\n<p>The code used to create Hyperbard&nbsp;is maintained on <a href=\"URL", "### Supported Tasks and Leaderboards", "### Languages\n\nThe class labels in the dataset are in English", "## Dataset Structure", "### 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\n\nThis dataset was shared by Corinna Coupette, Jilles Vreeken, Bastian Rieck", "### Licensing Information\n\nThe license for this dataset is URL", "### Contributions" ]

[ "TAGS\n#license-unknown #region-us \n", "# Dataset Card for Hyperbard (Dataset)", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n<p>First release of <a href=\"URL\">Hyperbard</a>.</p>\n\n<p>Hyperbard is a dataset of diverse relational data representations derived from Shakespeare&#39;s plays. Our representations range from simple graphs capturing character co-occurrence in single scenes to hypergraphs encoding complex communication settings and character contributions as hyperedges with edge-specific node weights. By making multiple intuitive representations readily available for experimentation, we facilitate rigorous representation robustness checks in graph learning, graph mining, and network analysis, highlighting the advantages and drawbacks of specific representations.&nbsp;</p>\n\n<p>The code used to create Hyperbard&nbsp;is maintained on <a href=\"URL", "### Supported Tasks and Leaderboards", "### Languages\n\nThe class labels in the dataset are in English", "## Dataset Structure", "### 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\n\nThis dataset was shared by Corinna Coupette, Jilles Vreeken, Bastian Rieck", "### Licensing Information\n\nThe license for this dataset is URL", "### Contributions" ]

[ "license:cc-by-nc-sa-4.0", "region:us" ]

[]

[]

[ "# Dataset Card for Lung Cancer", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe effectiveness of cancer prediction system helps the people to know their cancer risk with low cost and it also helps the people to take the appropriate decision based on their cancer risk status. The data is collected from the website online lung cancer prediction system .", "### Supported Tasks and Leaderboards", "### Languages", "## Dataset Structure", "### 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\n\nThis dataset was shared by @nancyalaswad90", "### Licensing Information\n\nThe license for this dataset is cc-by-nc-sa-4.0", "### Contributions" ]

[ "TAGS\n#license-cc-by-nc-sa-4.0 #region-us \n", "# Dataset Card for Lung Cancer", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe effectiveness of cancer prediction system helps the people to know their cancer risk with low cost and it also helps the people to take the appropriate decision based on their cancer risk status. The data is collected from the website online lung cancer prediction system .", "### Supported Tasks and Leaderboards", "### Languages", "## Dataset Structure", "### 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\n\nThis dataset was shared by @nancyalaswad90", "### Licensing Information\n\nThe license for this dataset is cc-by-nc-sa-4.0", "### Contributions" ]

[ "license:cc0-1.0", "region:us" ]

[]

[]

[ "# Dataset Card for Monkeypox Dataset (Daily Updated)", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n![](URL", "## Context\n- Monkeypox is an infectious disease caused by the monkeypox virus that can occur in certain animals, including humans. Symptoms begin with fever, headache, muscle pains, swollen lymph nodes, and feeling tired.\n- An ongoing outbreak of monkeypox was confirmed on 6 May 2022, beginning with a British resident who, after traveling to Nigeria (where the disease is endemic), presented symptoms consistent with monkeypox on 29 April 2022. The resident returned to the United Kingdom on 4 May, creating the country's index case of the outbreak.", "## Content", "## Acknowledgements \nGlobaldothealth Website\nGlobaldothealth Github", "### Supported Tasks and Leaderboards", "### Languages", "## Dataset Structure", "### 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\n\nThis dataset was shared by @deepcontractor", "### Licensing Information\n\nThe license for this dataset is cc0-1.0", "### Contributions" ]

[ "TAGS\n#license-cc0-1.0 #region-us \n", "# Dataset Card for Monkeypox Dataset (Daily Updated)", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n![](URL", "## Context\n- Monkeypox is an infectious disease caused by the monkeypox virus that can occur in certain animals, including humans. Symptoms begin with fever, headache, muscle pains, swollen lymph nodes, and feeling tired.\n- An ongoing outbreak of monkeypox was confirmed on 6 May 2022, beginning with a British resident who, after traveling to Nigeria (where the disease is endemic), presented symptoms consistent with monkeypox on 29 April 2022. The resident returned to the United Kingdom on 4 May, creating the country's index case of the outbreak.", "## Content", "## Acknowledgements \nGlobaldothealth Website\nGlobaldothealth Github", "### Supported Tasks and Leaderboards", "### Languages", "## Dataset Structure", "### 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\n\nThis dataset was shared by @deepcontractor", "### Licensing Information\n\nThe license for this dataset is cc0-1.0", "### Contributions" ]

[ "region:us" ]

[]

[]

[]

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

[ "region:us" ]

[]

[]

[ "# Dataset Card for Demo3", "## 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\n- Homepage:\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThis is a demo dataset. It consists in two files 'data/URL' and 'data/URL'\n\nYou can load it with", "### Supported Tasks and Leaderboards", "### Languages", "## Dataset Structure", "### 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", "# Dataset Card for Demo3", "## 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\n- Homepage:\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThis is a demo dataset. It consists in two files 'data/URL' and 'data/URL'\n\nYou can load it with", "### Supported Tasks and Leaderboards", "### Languages", "## Dataset Structure", "### 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." ]

[ "license:mit", "region:us" ]

[]

[]

[ "# Vietnamese Text-To-Speech dataset (VBSF001-v1.0)\nThe audio is crawled from audiobooks on YouTube. \nThe audio is NOT for commercial use. \n\nThe text is labeled by VinBrain JSC. The text is in the public domain.\n\nDataset size: '1.28GB'. \n\nTotal audio duration: '9.5 hours'.", "### Text-audio samples\n\n - Sample 1: \n + Audio: file1\n + Text: song cũng từ buổi tối bất hạnh ấy, một nỗi buồn ghê gớm xâm chiếm nhà vua và thường xuyên lộ ra nét mặt.\n - Sample 2:\n + Audio: file2\n + Text: theo luật pháp nước nhà, sa-dơ-năng không được chia quyền, đành phải sống như một người dân thường.", "### Download\nGet the dataset from here: link. \n\n'VBSF001' directory structure:", "### Statistics\n\n- Total Clips: 6,835\n- Total Words: 121,423\n- Total Characters: 528,088\n- Total Duration: 9:32:29\n- Mean Clip Duration: 5.03 sec\n- Min Clip Duration: 0.58 sec\n- Max Clip Duration: 14.09 sec\n- Mean Words per Clip: 17.76\n- Distinct Words: 3,527" ]

[ "TAGS\n#license-mit #region-us \n", "# Vietnamese Text-To-Speech dataset (VBSF001-v1.0)\nThe audio is crawled from audiobooks on YouTube. \nThe audio is NOT for commercial use. \n\nThe text is labeled by VinBrain JSC. The text is in the public domain.\n\nDataset size: '1.28GB'. \n\nTotal audio duration: '9.5 hours'.", "### Text-audio samples\n\n - Sample 1: \n + Audio: file1\n + Text: song cũng từ buổi tối bất hạnh ấy, một nỗi buồn ghê gớm xâm chiếm nhà vua và thường xuyên lộ ra nét mặt.\n - Sample 2:\n + Audio: file2\n + Text: theo luật pháp nước nhà, sa-dơ-năng không được chia quyền, đành phải sống như một người dân thường.", "### Download\nGet the dataset from here: link. \n\n'VBSF001' directory structure:", "### Statistics\n\n- Total Clips: 6,835\n- Total Words: 121,423\n- Total Characters: 528,088\n- Total Duration: 9:32:29\n- Mean Clip Duration: 5.03 sec\n- Min Clip Duration: 0.58 sec\n- Max Clip Duration: 14.09 sec\n- Mean Words per Clip: 17.76\n- Distinct Words: 3,527" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Nexdata/Scene_Noise_Data_by_Voice_Recorder", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data is multi-scene noise data, covering subway, supermarket, restaurant, road, airport, exhibition hall, high-speed rail, highway, city road, cinema and other daily life scenes.The data is recorded by the professional recorder Sony ICD-UX560F, which is collected in a high sampling rate and two-channel format, and the recording is clear and natural. The valid data is 101 hours.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition,noisy-speech-recognition: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nNoise Data", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Scene_Noise_Data_by_Voice_Recorder", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data is multi-scene noise data, covering subway, supermarket, restaurant, road, airport, exhibition hall, high-speed rail, highway, city road, cinema and other daily life scenes.The data is recorded by the professional recorder Sony ICD-UX560F, which is collected in a high sampling rate and two-channel format, and the recording is clear and natural. The valid data is 101 hours.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition,noisy-speech-recognition: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nNoise Data", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "task_categories:text-to-speech", "language:en", "region:us" ]

[]

[ "en" ]

[ "# Dataset Card for Nexdata/British_English_Average_Tone_Speech_Synthesis_Corpus", "## Description\n10 People - British English Average Tone Speech Synthesis Corpus. It is recorded by British English native speakers, with authentic accent. The phoneme coverage is balanced. Professional phonetician participates in the annotation. It precisely matches with the research and development needs of the speech synthesis.\n\nFor more details, please refer to the link: URL", "# Specifications", "## Format\n48,000Hz, 24bit, uncompressed wav, mono channel;", "## Recording environment\nprofessional recording studio;", "## Recording content\ngeneral narrative sentences, interrogative sentences, etc;", "## Speaker\nbritish native speaker, 5 male and 5 female, 2 hours per person;", "## Device\nmicrophone;", "## Language\nBritish English;", "## Annotation\nword and phoneme transcription, four-level prosodic boundary annotation;", "## Application scenarios\nspeech synthesis.", "# Licensing Information\nCommercial License" ]

[ "TAGS\n#task_categories-text-to-speech #language-English #region-us \n", "# Dataset Card for Nexdata/British_English_Average_Tone_Speech_Synthesis_Corpus", "## Description\n10 People - British English Average Tone Speech Synthesis Corpus. It is recorded by British English native speakers, with authentic accent. The phoneme coverage is balanced. Professional phonetician participates in the annotation. It precisely matches with the research and development needs of the speech synthesis.\n\nFor more details, please refer to the link: URL", "# Specifications", "## Format\n48,000Hz, 24bit, uncompressed wav, mono channel;", "## Recording environment\nprofessional recording studio;", "## Recording content\ngeneral narrative sentences, interrogative sentences, etc;", "## Speaker\nbritish native speaker, 5 male and 5 female, 2 hours per person;", "## Device\nmicrophone;", "## Language\nBritish English;", "## Annotation\nword and phoneme transcription, four-level prosodic boundary annotation;", "## Application scenarios\nspeech synthesis.", "# Licensing Information\nCommercial License" ]

[ "task_categories:automatic-speech-recognition", "language:zh", "region:us" ]

[]

[ "zh" ]

[ "# Dataset Card for Nexdata/Mandarin_Spontaneous_Speech_Data", "## Description\n3,881 hours - Mandarin Spontaneous Speech Data, the content covering multiple subjects. All the speech audio was manually transcribed into text content; speaker identity, gender, and other attribution are also annotated. This dataset can be used for voiceprint recognition model training, corpus construction for machine translation, and algorithm research introduction, etc.\n\nFor more details, please refer to the link: URL", "# Specifications", "## Format\n16kHz, 16bit, wav, mono channel;", "## Content Category\nInterview; Sports; Variety; Course; Entertainment, Service, etc.", "## Annotation\nannotation for the transcription text, speaker identification, gender", "## Language\nMandarin", "## Accuracy\nat a Sentence Accuracy Rate (SAR) of being no less than 95%", "## Application scenarios\nspeech recognition, video caption generation and video content review", "# Licensing Information\nCommercial License" ]

[ "TAGS\n#task_categories-automatic-speech-recognition #language-Chinese #region-us \n", "# Dataset Card for Nexdata/Mandarin_Spontaneous_Speech_Data", "## Description\n3,881 hours - Mandarin Spontaneous Speech Data, the content covering multiple subjects. All the speech audio was manually transcribed into text content; speaker identity, gender, and other attribution are also annotated. This dataset can be used for voiceprint recognition model training, corpus construction for machine translation, and algorithm research introduction, etc.\n\nFor more details, please refer to the link: URL", "# Specifications", "## Format\n16kHz, 16bit, wav, mono channel;", "## Content Category\nInterview; Sports; Variety; Course; Entertainment, Service, etc.", "## Annotation\nannotation for the transcription text, speaker identification, gender", "## Language\nMandarin", "## Accuracy\nat a Sentence Accuracy Rate (SAR) of being no less than 95%", "## Application scenarios\nspeech recognition, video caption generation and video content review", "# Licensing Information\nCommercial License" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Nexdata/Microphone_Collecting_Radio_Frequency_Noise_Data", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data is collected in 66 rooms, 2-4 point locations in each room. According to the relative position of the sound source and the point, 2-5 sets of data are collected for each point. The valid time is 20 hours. The data is recorded in a wide range and can be used for smart home scene product development.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition,noisy-speech-recognition: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nNoise data", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Microphone_Collecting_Radio_Frequency_Noise_Data", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data is collected in 66 rooms, 2-4 point locations in each room. According to the relative position of the sound source and the point, 2-5 sets of data are collected for each point. The valid time is 20 hours. The data is recorded in a wide range and can be used for smart home scene product development.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition,noisy-speech-recognition: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nNoise data", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Nexdata/Mandarin_Heavy_Accent_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nIt collects 2,034 local Chinese from 26 provinces like Henan, Shanxi, Sichuan, Hunan, Fujian, etc. It is mandarin speech data with heavy accent. The recoring contents are finance and economics, entertainment, policy, news, TV, and movies.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nMandarin Chinese", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Mandarin_Heavy_Accent_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nIt collects 2,034 local Chinese from 26 provinces like Henan, Shanxi, Sichuan, Hunan, Fujian, etc. It is mandarin speech data with heavy accent. The recoring contents are finance and economics, entertainment, policy, news, TV, and movies.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nMandarin Chinese", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "task_categories:automatic-speech-recognition", "language:en", "region:us" ]

[]

[ "en" ]

[ "# Dataset Card for Nexdata/American_Children_Speech_Data_By_Mobile_Phone", "## Description\nThe data is recorded by 290 children from the U.S.A, with a balanced male-female ratio. The recorded content of the data mainly comes from children's books and textbooks, which are in line with children's language usage habits. The recording environment is relatively quiet indoors, the text is manually transferred with high accuracy.\n\nFor more details, please refer to the link: URL", "# Specifications", "## Format\n16kHz, 16bit, uncompressed wav, mono channel", "## Recording environment\nquiet indoor environment, without echo", "## Recording content (read speech)\nchildren's books and textbooks", "## Demographics\n286 American children, 53% of which are female, all children are 5-12 years old", "## Device\nAndroid mobile phone, iPhone", "## Language\nAmerican English", "## Application scenarios\nspeech recognition; voiceprint recognition.", "## Accuracy rate\n95% of sentence accuracy", "# Licensing Information\nCommercial License" ]

[ "TAGS\n#task_categories-automatic-speech-recognition #language-English #region-us \n", "# Dataset Card for Nexdata/American_Children_Speech_Data_By_Mobile_Phone", "## Description\nThe data is recorded by 290 children from the U.S.A, with a balanced male-female ratio. The recorded content of the data mainly comes from children's books and textbooks, which are in line with children's language usage habits. The recording environment is relatively quiet indoors, the text is manually transferred with high accuracy.\n\nFor more details, please refer to the link: URL", "# Specifications", "## Format\n16kHz, 16bit, uncompressed wav, mono channel", "## Recording environment\nquiet indoor environment, without echo", "## Recording content (read speech)\nchildren's books and textbooks", "## Demographics\n286 American children, 53% of which are female, all children are 5-12 years old", "## Device\nAndroid mobile phone, iPhone", "## Language\nAmerican English", "## Application scenarios\nspeech recognition; voiceprint recognition.", "## Accuracy rate\n95% of sentence accuracy", "# Licensing Information\nCommercial License" ]

[ "task_categories:text-to-speech", "region:us" ]

[]

[]

[ "# Dataset Card for Nexdata/Hong_Kong_Cantonese_Average_Tone_Speech_Synthesis_Corpus", "## Description\n38 People - Hong Kong Cantonese Average Tone Speech Synthesis Corpus, It is recorded by Hong Kong native speakers. Professional phonetician participates in the annotation. It precisely matches with the research and development needs of the speech synthesis.\n\nFor more details, please refer to the link: URL", "# Specifications", "## Format\n44,100Hz, 16bit, uncompressed wav, mono channel;", "## Recording environment\nquiet indoor environment, low background noise, without echo;", "## Recording content\nnews and colloquial sentences;", "## Speaker\n9 males, 29 females;", "## Device\nmicrophone;", "## Language\nCantonese, English;", "## Annotation\nword and phoneme transcription, prosodic boundary annotation;", "## Application scenarios\nspeech synthesis.", "# Licensing Information\nCommercial License" ]

[ "TAGS\n#task_categories-text-to-speech #region-us \n", "# Dataset Card for Nexdata/Hong_Kong_Cantonese_Average_Tone_Speech_Synthesis_Corpus", "## Description\n38 People - Hong Kong Cantonese Average Tone Speech Synthesis Corpus, It is recorded by Hong Kong native speakers. Professional phonetician participates in the annotation. It precisely matches with the research and development needs of the speech synthesis.\n\nFor more details, please refer to the link: URL", "# Specifications", "## Format\n44,100Hz, 16bit, uncompressed wav, mono channel;", "## Recording environment\nquiet indoor environment, low background noise, without echo;", "## Recording content\nnews and colloquial sentences;", "## Speaker\n9 males, 29 females;", "## Device\nmicrophone;", "## Language\nCantonese, English;", "## Annotation\nword and phoneme transcription, prosodic boundary annotation;", "## Application scenarios\nspeech synthesis.", "# Licensing Information\nCommercial License" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Chinese_Mandarin_Speech_Synthesis_Corpus-Female_Imitating_Children", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nFemale audio data of adults imitating children, 6599 sentences in total and 6.78 hours. It is recorded by Chinese native speakers, with authentic accent and sweet sound. The phoneme coverage is balanced. Professional phonetician participates in the annotation. It precisely matches with the research and development needs of the speech synthesis.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\ntts: The dataset can be used to train a model for Text to Speech (TTS).", "### Languages\n\nMandarin Chinese", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Chinese_Mandarin_Speech_Synthesis_Corpus-Female_Imitating_Children", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nFemale audio data of adults imitating children, 6599 sentences in total and 6.78 hours. It is recorded by Chinese native speakers, with authentic accent and sweet sound. The phoneme coverage is balanced. Professional phonetician participates in the annotation. It precisely matches with the research and development needs of the speech synthesis.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\ntts: The dataset can be used to train a model for Text to Speech (TTS).", "### Languages\n\nMandarin Chinese", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Nexdata/Sichuan_Dialect_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nIt collects 2,507 speakers from Sichuan Basin and is recorded in quiet indoor environment. The recorded content covers customer consultation and text messages in many fields. The average number of repetitions is 1.3 and the average sentence length is 12.5 words. Sichuan natives participate in quality inspection and proofreading to ensure the accuracy of the text transcription.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nSichuan Dialect", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Sichuan_Dialect_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nIt collects 2,507 speakers from Sichuan Basin and is recorded in quiet indoor environment. The recorded content covers customer consultation and text messages in many fields. The average number of repetitions is 1.3 and the average sentence length is 12.5 words. Sichuan natives participate in quality inspection and proofreading to ensure the accuracy of the text transcription.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nSichuan Dialect", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Nexdata/Korean_Speech_Data_by_Mobile_Phone_Guiding", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nIt collects 211 Korean locals and is recorded in quiet indoor environment. 99 females, 112 males. Recording devices are mainstream Android phones and iPhones.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nKorean", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Korean_Speech_Data_by_Mobile_Phone_Guiding", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nIt collects 211 Korean locals and is recorded in quiet indoor environment. 99 females, 112 males. Recording devices are mainstream Android phones and iPhones.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nKorean", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Nexdata/Taiwanese_Mandarin_Speech_Data_by_Mobile_Phone_Guiding", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data collected 203 Taiwan people, covering Taipei, Kaohsiung, Taichung, Tainan, etc. 137 females, 66 males. It is recorded in quiet indoor environment. It can be used in speech recognition, machine translation, voiceprint recognition model training and algorithm research.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nTaiwanese Mandarin", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Taiwanese_Mandarin_Speech_Data_by_Mobile_Phone_Guiding", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data collected 203 Taiwan people, covering Taipei, Kaohsiung, Taichung, Tainan, etc. 137 females, 66 males. It is recorded in quiet indoor environment. It can be used in speech recognition, machine translation, voiceprint recognition model training and algorithm research.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nTaiwanese Mandarin", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

[]

[]

[ "# Dataset Card for Nexdata/German_Speech_Data_by_Mobile_Phone_Guiding", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data were collected and recorded by 351 German native speakers with authentic accents. Recording devices are mainstream Android phones and iPhones. The recorded text is designed by professional language experts and is rich in content, covering multiple categories such as general purpose, interactive, vehicle-mounted and household commands. The recording environment is quiet and without echo. The texts are manually transcribed with a high accuracy rate. Recording devices are mainstream Android phones and iPhones.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nGerman", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/German_Speech_Data_by_Mobile_Phone_Guiding", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data were collected and recorded by 351 German native speakers with authentic accents. Recording devices are mainstream Android phones and iPhones. The recorded text is designed by professional language experts and is rich in content, covering multiple categories such as general purpose, interactive, vehicle-mounted and household commands. The recording environment is quiet and without echo. The texts are manually transcribed with a high accuracy rate. Recording devices are mainstream Android phones and iPhones.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nGerman", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Italian_Speech_Data_by_Mobile_Phone_Guiding", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nItalian speech data (guiding) is collected from 351 Italian native speakers and is recorded in quiet environment. The recording is rich in content, covering multiple categories such as in-car scene, smart home, speech assistant. 50 sentences for each speaker. The valid volumn is 9.8 hours. Each sentence is repeated 2.7 times on average. All texts are manual transcribed with high accuray.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\nItalian", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Italian_Speech_Data_by_Mobile_Phone_Guiding", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nItalian speech data (guiding) is collected from 351 Italian native speakers and is recorded in quiet environment. The recording is rich in content, covering multiple categories such as in-car scene, smart home, speech assistant. 50 sentences for each speaker. The valid volumn is 9.8 hours. Each sentence is repeated 2.7 times on average. All texts are manual transcribed with high accuray.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\nItalian", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

[]

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[ "# Dataset Card for Nexdata/Thai_Speech_Data_by_Mobile_Phone_Guiding", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThai speech data (guiding) is collected from 490 Thailand native speakers and is recorded in quiet environment. The recording is rich in content, covering multiple categories such as in-car scene, smart home, speech assistant. 50 sentences for each speaker. The valid volumn is 15 hours. All texts are manual transcribed with high accuray.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nThai", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Thai_Speech_Data_by_Mobile_Phone_Guiding", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThai speech data (guiding) is collected from 490 Thailand native speakers and is recorded in quiet environment. The recording is rich in content, covering multiple categories such as in-car scene, smart home, speech assistant. 50 sentences for each speaker. The valid volumn is 15 hours. All texts are manual transcribed with high accuray.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nThai", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/British_English_Speech_Data_by_Mobile_Phone_Guiding", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThis data set contains 349 English speaker's speech data, all of whom are English locals. The recording environment is quiet. The recorded content includes many fields such as car, home, voice assistant, etc. About 50 sentences per person. Valid data is 9.5 hours. All texts are manually transcribed with high accuracy.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nBritish English", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/British_English_Speech_Data_by_Mobile_Phone_Guiding", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThis data set contains 349 English speaker's speech data, all of whom are English locals. The recording environment is quiet. The recorded content includes many fields such as car, home, voice assistant, etc. About 50 sentences per person. Valid data is 9.5 hours. All texts are manually transcribed with high accuracy.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nBritish English", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "task_categories:automatic-speech-recognition", "language:ar", "region:us" ]

[]

[ "ar" ]

[ "# Dataset Card for Nexdata/Saudi_Arabic_Spontaneous_Speech_Data", "## Description\n849 Hours - Saudi Arabic Spontaneous Speech Data, the content covering multiple topics. All the speech audio was manually transcribed into text content; speaker identity, gender, and other attribution are also annotated. This dataset can be used for voiceprint recognition model training, corpus construction for machine translation, and algorithm research introduction\n\nFor more details, please refer to the link: URL", "# Specifications", "## Format\n16kHz, 16bit, wav, mono channel;", "## Content category\nincluding interview, variety show, live, etc.", "## Language\nArabic;", "## Annotation\nannotation for the transcription text, speaker identification, gender;", "## Application scenarios\nspeech recognition, video caption generation and video content review;", "## Accuracy\nat a Sentence Accuracy Rate (SAR) of being no less than 95%.", "# Licensing Information\nCommercial License" ]

[ "TAGS\n#task_categories-automatic-speech-recognition #language-Arabic #region-us \n", "# Dataset Card for Nexdata/Saudi_Arabic_Spontaneous_Speech_Data", "## Description\n849 Hours - Saudi Arabic Spontaneous Speech Data, the content covering multiple topics. All the speech audio was manually transcribed into text content; speaker identity, gender, and other attribution are also annotated. This dataset can be used for voiceprint recognition model training, corpus construction for machine translation, and algorithm research introduction\n\nFor more details, please refer to the link: URL", "# Specifications", "## Format\n16kHz, 16bit, wav, mono channel;", "## Content category\nincluding interview, variety show, live, etc.", "## Language\nArabic;", "## Annotation\nannotation for the transcription text, speaker identification, gender;", "## Application scenarios\nspeech recognition, video caption generation and video content review;", "## Accuracy\nat a Sentence Accuracy Rate (SAR) of being no less than 95%.", "# Licensing Information\nCommercial License" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Korean_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n357 hours of Korean speech data collected by cellphone. It is recorded by 999 Korean in quiet environment and is rich in content. All texts are transtribed by professional annotator. The accuracy rate of sentence is 95%. It can be used for speech recognition, machine translation and voiceprint recognition.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nKorean", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Korean_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n357 hours of Korean speech data collected by cellphone. It is recorded by 999 Korean in quiet environment and is rich in content. All texts are transtribed by professional annotator. The accuracy rate of sentence is 95%. It can be used for speech recognition, machine translation and voiceprint recognition.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nKorean", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Chinese_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe dataset contains 200 Chinese native speakers, covering main dialect zones. It is recorded in both noisy and quiet environment and more suitable for the actual application scenario for speech recognition. The recordings are commonly used spoken sentences. Texts are transcribed by professional annotators. It can be used for speech recognition and machine translation.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nChinese Mandarin", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Chinese_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe dataset contains 200 Chinese native speakers, covering main dialect zones. It is recorded in both noisy and quiet environment and more suitable for the actual application scenario for speech recognition. The recordings are commonly used spoken sentences. Texts are transcribed by professional annotators. It can be used for speech recognition and machine translation.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nChinese Mandarin", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/In-Car_Noise_Data_by_Microphone_and_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n531 hours of noise data in in-car scene. It contains various vehicle models, road types, vehicle speed and car windoe close/open condition. Six recording points are placed to record the noise situation at different positions in the vehicle and accurately match the vehicle noise modeling requirements.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition,noisy-speech-recognition: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nNoise Data", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/In-Car_Noise_Data_by_Microphone_and_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n531 hours of noise data in in-car scene. It contains various vehicle models, road types, vehicle speed and car windoe close/open condition. Six recording points are placed to record the noise situation at different positions in the vehicle and accurately match the vehicle noise modeling requirements.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition,noisy-speech-recognition: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nNoise Data", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/French_Speech_Data_by_Mobile_Phone_Reading", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data volume is 231 hours and is recorded by 406 speakers (from French, Canada, and Africa). The recording is in quiet environment and rich in content. It contains various fields like economics, entertainment, news, and spoken language. All texts are manually transcribed. The sentence accuracy rate is 95%.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nFrench", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/French_Speech_Data_by_Mobile_Phone_Reading", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data volume is 231 hours and is recorded by 406 speakers (from French, Canada, and Africa). The recording is in quiet environment and rich in content. It contains various fields like economics, entertainment, news, and spoken language. All texts are manually transcribed. The sentence accuracy rate is 95%.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nFrench", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/French_Speech_Data_by_Mobile_Phone_Guiding", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n401 speakers participate in this recording. 50 sentences for each speaker, total 10.9 hours. Recording texts include in-car scene, smart home, smart speech assistant. Texts are accurate after manually transcribed. Recording devices are mainstream Android phones and iPhones. It can be used for in-car scene, smart home and speech assistant.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nFrench", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/French_Speech_Data_by_Mobile_Phone_Guiding", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n401 speakers participate in this recording. 50 sentences for each speaker, total 10.9 hours. Recording texts include in-car scene, smart home, smart speech assistant. Texts are accurate after manually transcribed. Recording devices are mainstream Android phones and iPhones. It can be used for in-car scene, smart home and speech assistant.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nFrench", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Spanish Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data volumn is 227 hours. It is recorded by Spanish native speakers from Spain, Mexico and Venezuela. It is recorded in quiet environment. The recording contents cover various fields like economy, entertainment, news and spoken language. All texts are manually transcribed. The sentence accurate is 95%.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nSpanish", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Spanish Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data volumn is 227 hours. It is recorded by Spanish native speakers from Spain, Mexico and Venezuela. It is recorded in quiet environment. The recording contents cover various fields like economy, entertainment, news and spoken language. All texts are manually transcribed. The sentence accurate is 95%.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nSpanish", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Spanish_Speech_Data_by_Mobile_Phone_Guiding", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThis speech data is collected from 343 Spanish native speakers who from Spain, Mexico and Argentina. 50 sentences for each speaker, total 9.9 hours. The recording environment is quiet. Alltexts are amnually transcribed with high accuracy. Recording devices are mainstream Android phones and iPhones. It can be used for speech recogntion, machine translation and voiceprint recognition.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nSpanish", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Spanish_Speech_Data_by_Mobile_Phone_Guiding", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThis speech data is collected from 343 Spanish native speakers who from Spain, Mexico and Argentina. 50 sentences for each speaker, total 9.9 hours. The recording environment is quiet. Alltexts are amnually transcribed with high accuracy. Recording devices are mainstream Android phones and iPhones. It can be used for speech recogntion, machine translation and voiceprint recognition.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nSpanish", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Hindi_Speech_Data_by_Mobile_Phone_Reading", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data is 240 hours and is recorded by 401 Indian. It is recorded in both quiet and noisy environment, which is more suitable for the actual application scenario. The recording content is rich, covering economic, entertainment, news, spoken language, etc. All texts are manually transferred, with high accuracy. It can be applied to speech recognition, machine translation, voiceprint recognition.\n \nFor more details, please refer to the link:URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nHindi", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Hindi_Speech_Data_by_Mobile_Phone_Reading", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data is 240 hours and is recorded by 401 Indian. It is recorded in both quiet and noisy environment, which is more suitable for the actual application scenario. The recording content is rich, covering economic, entertainment, news, spoken language, etc. All texts are manually transferred, with high accuracy. It can be applied to speech recognition, machine translation, voiceprint recognition.\n \nFor more details, please refer to the link:URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nHindi", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Hindi_Speech_Data_by_Mobile_Phone_Guidinge", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data is recorded by 397 Indian with authentic accent, 50 sentences for each speaker, total 8.6 hours. The recording content involves car scene, smart home, intelligent voice assistant. This data can be used for corpus construction of machine translation, model training and algorithm research for voiceprint recognition.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nHindi", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Hindi_Speech_Data_by_Mobile_Phone_Guidinge", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data is recorded by 397 Indian with authentic accent, 50 sentences for each speaker, total 8.6 hours. The recording content involves car scene, smart home, intelligent voice assistant. This data can be used for corpus construction of machine translation, model training and algorithm research for voiceprint recognition.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nHindi", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Hindi_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data is 824 hours long and was recorded by 1,500 Indian native speakers. The accent is authentic. The recording text is designed by language experts and covers general, interactive, car, home and other categories. The text is manually proofread, and the accuracy is high. Recording devices are mainstream Android phones and iPhones. It can be applied to speech recognition, machine translation, and voiceprint recognition.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nHindi", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Hindi_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe data is 824 hours long and was recorded by 1,500 Indian native speakers. The accent is authentic. The recording text is designed by language experts and covers general, interactive, car, home and other categories. The text is manually proofread, and the accuracy is high. Recording devices are mainstream Android phones and iPhones. It can be applied to speech recognition, machine translation, and voiceprint recognition.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nHindi", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Spanish_Speech_Data", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe 338-hour Spanish speech data and is recorded by 800 Spanish-speaking native speakers from Spain, Mexico, Argentina. The recording enviroment is queit. All texts are manually transcribed.The sentence accuracy rate is 95%. It can be applied to speech recognition, machine translation, voiceprint recognition and so on.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nSpanish", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Spanish_Speech_Data", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nThe 338-hour Spanish speech data and is recorded by 800 Spanish-speaking native speakers from Spain, Mexico, Argentina. The recording enviroment is queit. All texts are manually transcribed.The sentence accuracy rate is 95%. It can be applied to speech recognition, machine translation, voiceprint recognition and so on.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nSpanish", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Chinese_Mandarin_Synthesis_Corpus_Female_Customer_Service", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n10.1 Hours -Chinese Mandarin Synthesis Corpus-Female, Customer Service, It is recorded by Chinese native speakers, with lively and frindly voice. The phoneme coverage is balanced. Professional phonetician participates in the annotation. It precisely matches with the research and development needs of the speech synthesis.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\ntts: The dataset can be used to train a model for Text to Speech (TTS).", "### Languages\n\nChinese Mandarin", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Chinese_Mandarin_Synthesis_Corpus_Female_Customer_Service", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n10.1 Hours -Chinese Mandarin Synthesis Corpus-Female, Customer Service, It is recorded by Chinese native speakers, with lively and frindly voice. The phoneme coverage is balanced. Professional phonetician participates in the annotation. It precisely matches with the research and development needs of the speech synthesis.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\ntts: The dataset can be used to train a model for Text to Speech (TTS).", "### Languages\n\nChinese Mandarin", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Italian_Speech_Data_Collected_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nItalian languageaudio data captured by mobile phone , with total duration of 347 hours. It is recorded by 800 Italian native speakers, balanced in gender is balanced; the recording environment is quiet; all texts are manually transferred with high accuracy. This data set can be applied on automatic speech recognition, machine translation, and sound pattern recognition.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nItalian", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Italian_Speech_Data_Collected_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nItalian languageaudio data captured by mobile phone , with total duration of 347 hours. It is recorded by 800 Italian native speakers, balanced in gender is balanced; the recording environment is quiet; all texts are manually transferred with high accuracy. This data set can be applied on automatic speech recognition, machine translation, and sound pattern recognition.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nItalian", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Chinese_Children_Speech_data_by_Mobile_phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nMobile phone captured audio data of Chinese children, with total duration of 3,255 hours. 9,780 speakers are children aged 6 to 12, with accent covering seven dialect areas; the recorded text contains common children languages such as essay stories, numbers, and their interactions on cars, at home, and with voice assistants, precisely matching the actual application scenes. All sentences are manually transferred with high accuracy.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nChinese Mandarin", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Chinese_Children_Speech_data_by_Mobile_phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nMobile phone captured audio data of Chinese children, with total duration of 3,255 hours. 9,780 speakers are children aged 6 to 12, with accent covering seven dialect areas; the recorded text contains common children languages such as essay stories, numbers, and their interactions on cars, at home, and with voice assistants, precisely matching the actual application scenes. All sentences are manually transferred with high accuracy.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nChinese Mandarin", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Indian_English_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nIndian English audio data captured by mobile phones, 1,012 hours in total, recorded by 2,100 Indian native speakers. The recorded text is designed by linguistic experts, covering generic, interactive, on-board, home and other categories. The text has been proofread manually with high accuracy; this data set can be used for automatic speech recognition, machine translation, and voiceprint recognition.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nIndian English", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Indian_English_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nIndian English audio data captured by mobile phones, 1,012 hours in total, recorded by 2,100 Indian native speakers. The recorded text is designed by linguistic experts, covering generic, interactive, on-board, home and other categories. The text has been proofread manually with high accuracy; this data set can be used for automatic speech recognition, machine translation, and voiceprint recognition.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nIndian English", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "task_categories:automatic-speech-recognition", "language:ar", "region:us" ]

[]

[ "ar" ]

[ "# Dataset Card for Nexdata/UAE_Arabic_Spontaneous_Speech_Data", "## Description\nThe 749 hour UAE Arabic Spontaneous Speech Data, the content covering multiple topics. All the speech audio was manually transcribed into text content; speaker identity, gender, and other attribution are also annotated. This dataset can be used for voiceprint recognition model training, corpus construction for machine translation, and algorithm research introduction\n\nFor more details, please refer to the link: URL", "# Specifications", "## Format\n16kHz, 16bit, mono channel;", "## Content category\nInterview; Speech; Variety, etc.", "## Language\nUAE Arabic;", "## Annotation\nannotation for the transcription text, speaker identification, gender;", "## Application scenarios\nspeech recognition, video caption generation and video content review;", "## Accuracy\nat a Sentence Accuracy Rate (SAR) of being no less than 95%.", "# Licensing Information\nCommercial License" ]

[ "TAGS\n#task_categories-automatic-speech-recognition #language-Arabic #region-us \n", "# Dataset Card for Nexdata/UAE_Arabic_Spontaneous_Speech_Data", "## Description\nThe 749 hour UAE Arabic Spontaneous Speech Data, the content covering multiple topics. All the speech audio was manually transcribed into text content; speaker identity, gender, and other attribution are also annotated. This dataset can be used for voiceprint recognition model training, corpus construction for machine translation, and algorithm research introduction\n\nFor more details, please refer to the link: URL", "# Specifications", "## Format\n16kHz, 16bit, mono channel;", "## Content category\nInterview; Speech; Variety, etc.", "## Language\nUAE Arabic;", "## Annotation\nannotation for the transcription text, speaker identification, gender;", "## Application scenarios\nspeech recognition, video caption generation and video content review;", "## Accuracy\nat a Sentence Accuracy Rate (SAR) of being no less than 95%.", "# Licensing Information\nCommercial License" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Shanghai_Dialect_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nAudiobook annotated pinyin audio data, with duration of 35 hours; 5 speakers are recorded including 3 males and 2 females; Chinese characters and pinyin are annotated, including the tone of pinyin; this data set can be used for automatic speech recognition, machine translation, and voiceprint recognition.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification, machine-translation: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nChinese Pinyin", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Shanghai_Dialect_Speech_Data_by_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nAudiobook annotated pinyin audio data, with duration of 35 hours; 5 speakers are recorded including 3 males and 2 females; Chinese characters and pinyin are annotated, including the tone of pinyin; this data set can be used for automatic speech recognition, machine translation, and voiceprint recognition.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification, machine-translation: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nChinese Pinyin", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Mic-Array_Speech_Data_in_Home_Environment", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nFar-field home audio data captured by mobile phone microphone array, 998 people participate in voice record, with gender ratio of 1:1 between male and female; the recorded text covers multiple application scenes; the data set can be used for voice enhancement and automatic automatic speech recognition in home scenes.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition,noisy-speech-recognition: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nChinese Mandarin", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Mic-Array_Speech_Data_in_Home_Environment", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\nFar-field home audio data captured by mobile phone microphone array, 998 people participate in voice record, with gender ratio of 1:1 between male and female; the recorded text covers multiple application scenes; the data set can be used for voice enhancement and automatic automatic speech recognition in home scenes.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition,noisy-speech-recognition: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nChinese Mandarin", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "region:us" ]

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[ "# Dataset Card for Nexdata/Japanese_Speech_Data_By_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n474 Hours-Japanese Speech Data By Mobile Phone were recorded by 1,245 local Japanese speakers with authentic accents; the recorded texts cover general, interactive, car, home and other categories, and are rich in content; the text of the voice data collected by this set of Japanese mobile phones has been manually proofread. High accuracy; match mainstream Android and Apple mobile phones.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nJapanese", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]

[ "TAGS\n#region-us \n", "# Dataset Card for Nexdata/Japanese_Speech_Data_By_Mobile_Phone", "## 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\n- Homepage: URL\n- Repository:\n- Paper:\n- Leaderboard:\n- Point of Contact:", "### Dataset Summary\n\n474 Hours-Japanese Speech Data By Mobile Phone were recorded by 1,245 local Japanese speakers with authentic accents; the recorded texts cover general, interactive, car, home and other categories, and are rich in content; the text of the voice data collected by this set of Japanese mobile phones has been manually proofread. High accuracy; match mainstream Android and Apple mobile phones.\n \nFor more details, please refer to the link: URL", "### Supported Tasks and Leaderboards\n\nautomatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for Automatic Speech Recognition (ASR).", "### Languages\n\nJapanese", "## Dataset Structure", "### 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\n\nCommerical License: URL", "### Contributions" ]