Datasets:
nkasmanoff
/
huggingface-datasets

Dataset card Data Studio Files Community
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5.93k
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Yeva/arm-summary
false
[ "language:hy" ]
null
265
0
YuAnthony/chid
false
[]
null
305
0
YuAnthony/tnews
false
[]
null
280
0
Zaid/coqa_expanded
false
[]
\\nCoQA: A Conversational Question Answering Challenge
531
0
Zaid/quac_expanded
false
[]
\\nQuestion Answering in Context is a dataset for modeling, understanding, and participating in information seeking dialog. Data instances consist of an interactive dialog between two crowd workers: (1) a student who poses a sequence of freeform questions to learn as much as possible about a hidden Wikipedia text, and (2) a teacher who answers the questions by providing short excerpts (spans) from the text. QuAC introduces challenges not found in existing machine comprehension datasets: its questions are often more open-ended, unanswerable, or only meaningful within the dialog context.
829
0
Zoe10/ner_dataset
false
[]
null
267
0
abdusah/masc
false
[ "annotations_creators:crowdsourced", "language_creators:crowdsourced", "language:ar", "license:cc-by-nc-4.0" ]
null
134
0
abdusah/masc_dev
false
[ "annotations_creators:crowdsourced", "language_creators:crowdsourced", "language:ar", "license:cc-by-nc-4.0" ]
null
265
0
abhishek/autonlp-data-imdb_eval
false
[]
null
267
0
abhishek/autonlp-data-prodigy-10
false
[ "language:en" ]
null
267
0
abidlabs/crowdsourced-notes
false
[]
null
135
0
abidlabs/crowdsourced-speech-demo
false
[]
null
265
1
abidlabs/crowdsourced-speech
false
[]
null
265
0
abidlabs/crowdsourced-speech2
false
[]
null
265
0
abidlabs/crowdsourced-speech3
false
[]
null
133
0
abidlabs/crowdsourced-speech4
false
[]
null
265
0
abidlabs/crowdsourced-speech5
false
[]
null
265
0
abidlabs/crowdsourced-speech6
false
[]
null
133
0
abidlabs/crowdsourced-speech7
false
[]
null
265
0
abidlabs/test-audio-1
false
[]
null
267
0
abidlabs/test-audio-13
false
[]
null
267
0
abidlabs/test-image-13
false
[]
null
267
1
abidlabs/test-image-classifier-dataset
false
[]
null
267
0
abidlabs/test-translation-dataset
false
[]
null
268
0
abidlabs/voice-verification-adversarial-dataset
false
[]
null
135
0
abwicke/C-B-R
false
[]
null
135
0
abwicke/koplo
false
[]
null
135
0
adalbertojunior/MININER
false
[]
null
265
0
adalbertojunior/punctuation-ptbr-light
false
[]
null
265
0
adalbertojunior/punctuation-ptbr
false
[]
null
267
0
adamlin/FewShotWoz
false
[]
FewShotWoz is constructed using dataset from RNNLG and MultiWoz.
269
0
adamlin/companion
false
[]
null
135
0
adamlin/coqa_squad
false
[]
\\nCoQA: A Conversational Question Answering Challenge
267
0
adamlin/daily_dialog
false
[]
We develop a high-quality multi-turn dialog dataset, DailyDialog, which is intriguing in several aspects. The language is human-written and less noisy. The dialogues in the dataset reflect our daily communication way and cover various topics about our daily life. We also manually label the developed dataset with communication intention and emotion information. Then, we evaluate existing approaches on DailyDialog dataset and hope it benefit the research field of dialog systems.
180
0
adamlin/domain_classification
false
[]
null
397
0
adamlin/mail-classification
false
[]
null
285
1
adamlin/multiwoz_dst
false
[]
null
141
1
adamlin/qa_verification
false
[]
null
135
0
adamlin/roc_story
false
[]
null
305
0
adamlin/rs
false
[]
null
267
0
adamlin/weibo_ner
false
[]
null
135
0
addy88/nq-question-answeronly
false
[]
null
276
1
addy88/sanskrit-asr-84-eval
false
[]
null
267
0
addy88/sanskrit-asr-84
false
[]
null
266
0
afasafen/mydataset
false
[ "license:afl-3.0" ]
null
133
0
afasafen/newDataSet
false
[]
null
135
0
ai4bharat/samanantar
false
[ "task_categories:text-generation", "task_categories:translation", "annotations_creators:no-annotation", "language_creators:found", "multilinguality:translation", "size_categories:unknown", "source_datasets:original", "language:en", "language:as", "language:bn", "language:gu", "language:hi", "language:kn", "language:ml", "language:mr", "language:or", "language:pa", "language:ta", "language:te", "license:cc-by-nc-4.0", "conditional-text-generation", "arxiv:2104.05596" ]
Samanantar is the largest publicly available parallel corpora collection for Indic languages: Assamese, Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Oriya, Punjabi, Tamil, Telugu. The corpus has 49.6M sentence pairs between English to Indian Languages.
1,622
10
aidystark/Yt
false
[]
null
135
0
ajmbell/test-dataset
false
[]
null
135
0
akhaliq/test
false
[]
null
135
0
akumar33/manufacturing
false
[]
null
267
1
albertvillanova/carbon_24
false
[ "task_categories:other", "annotations_creators:machine-generated", "language_creators:machine-generated", "multilinguality:other-crystallography", "size_categories:unknown", "language:cif", "license:mit", "material-property-optimization", "material-reconstruction", "material-generation", "arxiv:2110.06197" ]
null
265
0
albertvillanova/datasets-tests-compression
false
[]
null
267
0
albertvillanova/dummy_libri2mix
false
[]
null
135
0
albertvillanova/legal_contracts
false
[]
This new dataset is designed to solve this great NLP task and is crafted with a lot of care.
282
7
albertvillanova/lm_en_dummy0
false
[]
null
267
0
albertvillanova/lm_en_dummy1
false
[]
null
267
0
albertvillanova/lm_en_dummy2
false
[]
null
267
0
albertvillanova/lm_en_dummy3
false
[]
null
267
0
albertvillanova/lm_en_dummy4
false
[]
null
267
0
albertvillanova/pmc_open_access
false
[]
The PMC Open Access Subset includes more than 3.4 million journal articles and preprints that are made available under license terms that allow reuse. Not all articles in PMC are available for text mining and other reuse, many have copyright protection, however articles in the PMC Open Access Subset are made available under Creative Commons or similar licenses that generally allow more liberal redistribution and reuse than a traditional copyrighted work. The PMC Open Access Subset is one part of the PMC Article Datasets
663
0
albertvillanova/sat
false
[ "task_categories:text-generation", "task_categories:translation", "annotations_creators:no-annotation", "language_creators:found", "multilinguality:translation", "size_categories:1M<n<10M", "source_datasets:original", "source_datasets:extended|bible_para", "source_datasets:extended|kde4", "source_datasets:extended|opus_gnome", "source_datasets:extended|open_subtitles", "source_datasets:extended|tatoeba", "language:en", "language:vi", "license:unknown", "conditional-text-generation" ]
SAT (Style Augmented Translation) dataset contains roughly 3.3 million English-Vietnamese pairs of texts.
265
0
albertvillanova/tests-public-raw-jsonl
false
[]
null
267
0
albertvillanova/tests-raw-jsonl
false
[]
null
267
0
albertvillanova/tmp-tests-zip
false
[]
null
267
0
albertvillanova/tmp-tests
false
[]
null
135
0
alexantonov/chuvash_parallel
false
[ "multilinguality:translation", "source_datasets:original", "language:cv" ]
null
134
4
aliabd/crowdsourced-calculator-demo
false
[]
null
267
0
aliabd/crowdsourced-speech4
false
[]
null
133
0
aliabd/hello-world
false
[]
null
267
0
alireza655/alireza655
false
[]
null
135
0
alistvt/coqa-flat
false
[]
null
267
0
alistvt/coqa-stories
false
[]
null
267
0
alistvt/coqa
false
[]
null
271
0
alittleie/mis_238
false
[]
null
267
0
allegro/klej-allegro-reviews
false
[]
null
267
0
allegro/klej-cbd
false
[]
null
297
0
allegro/klej-cdsc-e
false
[ "task_categories:text-classification", "task_ids:natural-language-inference", "annotations_creators:expert-generated", "language_creators:expert-generated", "multilinguality:monolingual", "size_categories:10K<n<100K", "source_datasets:original", "language:pl", "license:cc-by-nc-sa-4.0" ]
null
265
0
allegro/klej-cdsc-r
false
[]
null
267
0
allegro/klej-dyk
false
[ "task_categories:question-answering", "task_ids:open-domain-qa", "annotations_creators:expert-generated", "language_creators:other", "multilinguality:monolingual", "size_categories:1K<n<10K", "source_datasets:original", "language:pl", "license:cc-by-sa-3.0" ]
null
308
0
allegro/klej-nkjp-ner
false
[]
null
267
0
allegro/klej-polemo2-in
false
[ "task_categories:text-classification", "task_ids:sentiment-classification", "annotations_creators:expert-generated", "language_creators:other", "multilinguality:monolingual", "size_categories:1K<n<10K", "source_datasets:original", "language:pl", "license:cc-by-sa-4.0" ]
null
265
0
allegro/klej-polemo2-out
false
[ "task_categories:text-classification", "task_ids:sentiment-classification", "annotations_creators:expert-generated", "language_creators:other", "multilinguality:monolingual", "size_categories:1K<n<10K", "source_datasets:original", "language:pl", "license:cc-by-sa-4.0" ]
null
265
0
allegro/klej-psc
false
[ "task_categories:text-classification", "annotations_creators:expert-generated", "language_creators:other", "multilinguality:monolingual", "size_categories:5K", "size_categories:1K<n<10K", "source_datasets:original", "language:pl", "license:cc-by-sa-3.0", "paraphrase-classification" ]
null
265
0
allegro/polish-question-passage-pairs
false
[]
null
283
2
allegro/summarization-allegro-articles
false
[]
null
267
1
allegro/summarization-polish-summaries-corpus
false
[]
null
267
2
allenai/c4
false
[]
null
48,610
35
allenai/scico
false
[ "task_categories:token-classification", "task_ids:coreference-resolution", "annotations_creators:domain experts", "multilinguality:monolingual", "language:en", "license:apache-2.0", "cross-document-coreference-resolution", "structure-prediction" ]
SciCo is a dataset for hierarchical cross-document coreference resolution over scientific papers in the CS domain.
133
3
alperbayram/HaberTweetlerininDuyguAnaliziVeSiniflandirma
false
[]
null
266
0
alperbayram/Tweet_Siniflandirma
false
[ "task_categories:text-classification", "task_ids:sentiment-classification", "annotations_creators:crowdsourced", "annotations_creators:expert-generated", "language_creators:crowdsourced", "size_categories:unknown", "language:tr" ]
null
267
0
alperbayram/TwitterDuygu
false
[]
null
268
0
alperiox/autonlp-data-user-review-classification
false
[ "task_categories:text-classification", "language:en" ]
null
263
0
alvp/autonlp-data-alberti-stanza-names
false
[ "task_categories:text-classification" ]
null
263
0
alvp/autonlp-data-alberti-stanzas-finetuning
false
[ "task_categories:text-classification" ]
null
263
0
aminedjebbie/Multi-Arabic-dialects
false
[]
null
265
0
andrepreira/outros2021
false
[]
null
265
0
anechaev/med_history
false
[ "license:mit" ]
null
266
0
anechaev/ru_med_history
false
[]
null
265
0
animesh/autonlp-data-peptides
false
[]
null
265
0