# datasets

hub_id: community-datasets/urdu_fake_news
license: ["unknown"]
language: ["ur"]
config_name: default
column_names: ["news","label","category"]
tags:
["task_categories:text-classification","task_ids:fact-checking","task_ids:intent-classification","annotations_creators:expert-generated","language_creators:expert-generated","multilinguality:monolingual","source_datasets:original","language:ur","license:unknown","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"news","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"Fake","1":"Real"}}}},{"name":"category","dtype":{"class_label":{"names":{"0":"bus","1":"hlth","2":"sp","3":"tch","4":"sbz"}}}}]


hub_id: community-datasets/urdu_sentiment_corpus
license: ["unknown"]
language: ["ur"]
config_name: default
column_names: ["sentence","sentiment"]
tags:
["task_categories:text-classification","task_ids:sentiment-classification","annotations_creators:expert-generated","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:ur","license:unknown","size_categories:1K<n<10K","region:us"]

features:
[{"name":"sentence","dtype":"string"},{"name":"sentiment","dtype":{"class_label":{"names":{"0":"P","1":"N","2":"O"}}}}]


hub_id: CSTR-Edinburgh/vctk
license: ["cc-by-4.0"]
language: ["en"]
config_name: main
column_names: ["speaker_id","audio","file","text","text_id","age","gender","accent","region","comment"]
tags:
["task_categories:automatic-speech-recognition","task_categories:text-to-speech","task_categories:text-to-audio","annotations_creators:expert-generated","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-4.0","size_categories:10K<n<100K","region:us"]

features:
[{"name":"speaker_id","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":48000}}},{"name":"file","dtype":"string"},{"name":"text","dtype":"string"},{"name":"text_id","dtype":"string"},{"name":"age","dtype":"string"},{"name":"gender","dtype":"string"},{"name":"accent","dtype":"string"},{"name":"region","dtype":"string"},{"name":"comment","dtype":"string"}]


hub_id: AILAB-VNUHCM/vivos
license: ["cc-by-nc-sa-4.0"]
language: ["vi"]
config_name: default
column_names: ["speaker_id","path","audio","sentence"]
tags:
["task_categories:automatic-speech-recognition","annotations_creators:expert-generated","language_creators:crowdsourced","language_creators:expert-generated","multilinguality:monolingual","source_datasets:original","language:vi","license:cc-by-nc-sa-4.0","size_categories:10K<n<100K","region:us"]

features:
[{"name":"speaker_id","dtype":"string"},{"name":"path","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"sentence","dtype":"string"}]


hub_id: webnlg-challenge/web_nlg
license: ["cc-by-sa-3.0","cc-by-nc-sa-4.0","gfdl"]
language: ["en","ru"]
config_name: release_v3.0_ru
tags:
["task_categories:tabular-to-text","task_ids:rdf-to-text","annotations_creators:found","language_creators:crowdsourced","multilinguality:monolingual","size_categories:10K<n<100K","source_datasets:extended|other-db_pedia","source_datasets:original","language:en","language:ru","license:cc-by-sa-3.0","license:cc-by-nc-sa-4.0","license:gfdl","region:us"]

column_names:
["category","size","eid","original_triple_sets","modified_triple_sets","shape","shape_type","lex","test_category","dbpedia_links","links"]

features:
[{"name":"category","dtype":"string"},{"name":"size","dtype":"int32"},{"name":"eid","dtype":"string"},{"name":"original_triple_sets","sequence":[{"name":"otriple_set","sequence":"string"}]},{"name":"modified_triple_sets","sequence":[{"name":"mtriple_set","sequence":"string"}]},{"name":"shape","dtype":"string"},{"name":"shape_type","dtype":"string"},{"name":"lex","sequence":[{"name":"comment","dtype":"string"},{"name":"lid","dtype":"string"},{"name":"text","dtype":"string"},{"name":"lang","dtype":"string"}]},{"name":"test_category","dtype":"string"},{"name":"dbpedia_links","sequence":"string"},{"name":"links","sequence":"string"}]


hub_id: HDLTex/web_of_science
tags: ["language:en","region:us"]
license: []
language: ["en"]
config_name: WOS46985
column_names: ["input_data","label","label_level_1","label_level_2"]
features:
[{"name":"input_data","dtype":"string"},{"name":"label","dtype":"int32"},{"name":"label_level_1","dtype":"int32"},{"name":"label_level_2","dtype":"int32"}]


hub_id: Stanford/web_questions
license: ["unknown"]
language: ["en"]
config_name: default
column_names: ["url","question","answers"]
tags:
["task_categories:question-answering","task_ids:open-domain-qa","annotations_creators:crowdsourced","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:unknown","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"url","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answers","sequence":"string"}]


hub_id: hltcoe/weibo_ner
license: ["unknown"]
language: ["zh"]
config_name: default
column_names: ["id","tokens","ner_tags"]
tags:
["task_categories:token-classification","task_ids:named-entity-recognition","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:zh","license:unknown","size_categories:1K<n<10K","region:us"]

features:
[{"name":"id","dtype":"string"},{"name":"tokens","sequence":"string"},{"name":"ner_tags","sequence":{"class_label":{"names":{"0":"B-GPE.NAM","1":"B-GPE.NOM","2":"B-LOC.NAM","3":"B-LOC.NOM","4":"B-ORG.NAM","5":"B-ORG.NOM","6":"B-PER.NAM","7":"B-PER.NOM","8":"I-GPE.NAM","9":"I-GPE.NOM","10":"I-LOC.NAM","11":"I-LOC.NOM","12":"I-ORG.NAM","13":"I-ORG.NOM","14":"I-PER.NAM","15":"I-PER.NOM","16":"O"}}}}]


hub_id: bea2019st/wi_locness
license: ["other"]
language: ["en"]
config_name: locness
column_names: ["id","cefr","text","edits"]
tags:
["task_categories:text2text-generation","annotations_creators:expert-generated","language_creators:crowdsourced","multilinguality:monolingual","multilinguality:other-language-learner","source_datasets:original","language:en","license:other","size_categories:1K<n<10K","region:us","grammatical-error-correction"]

features:
[{"name":"id","dtype":"string"},{"name":"cefr","dtype":"string"},{"name":"text","dtype":"string"},{"name":"edits","sequence":[{"name":"start","dtype":"int32"},{"name":"end","dtype":"int32"},{"name":"text","dtype":"string"}]}]


hub_id: CUHK-CSE/wider_face
license: ["cc-by-nc-nd-4.0"]
language: ["en"]
config_name: default
column_names: ["image","faces"]
tags:
["task_categories:object-detection","task_ids:face-detection","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:extended|other-wider","language:en","license:cc-by-nc-nd-4.0","size_categories:10K<n<100K","arxiv:1511.06523","region:us"]

features:
[{"name":"image","dtype":"image"},{"name":"faces","sequence":[{"name":"bbox","sequence":"float32","length":4},{"name":"blur","dtype":{"class_label":{"names":{"0":"clear","1":"normal","2":"heavy"}}}},{"name":"expression","dtype":{"class_label":{"names":{"0":"typical","1":"exaggerate"}}}},{"name":"illumination","dtype":{"class_label":{"names":{"0":"normal","1":"exaggerate "}}}},{"name":"occlusion","dtype":{"class_label":{"names":{"0":"no","1":"partial","2":"heavy"}}}},{"name":"pose","dtype":{"class_label":{"names":{"0":"typical","1":"atypical"}}}},{"name":"invalid","dtype":"bool"}]}]


hub_id: google/wiki40b
license: []
language: ["en"]
config_name: zh-tw
column_names: ["wikidata_id","text","version_id"]
tags:
["language:en","size_categories:10M<n<100M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"wikidata_id","dtype":"string"},{"name":"text","dtype":"string"},{"name":"version_id","dtype":"string"}]


hub_id: neulab/wiki_asp
license: ["cc-by-sa-4.0"]
language: ["en"]
config_name: written_work
column_names: ["exid","inputs","targets"]
tags:
["task_categories:summarization","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-sa-4.0","size_categories:10K<n<100K","arxiv:2011.07832","region:us","aspect-based-summarization"]

features:
[{"name":"exid","dtype":"string"},{"name":"inputs","sequence":"string"},{"name":"targets","sequence":{"sequence":"string"}}]


hub_id: google-research-datasets/wiki_atomic_edits
license: ["cc-by-sa-4.0"]
language: ["de","en","es","fr","it","ja","ru","zh"]
config_name: chinese_deletions
column_names: ["id","base_sentence","phrase","edited_sentence"]
tags:
["task_categories:summarization","annotations_creators:found","language_creators:found","multilinguality:multilingual","source_datasets:original","language:de","language:en","language:es","language:fr","language:it","language:ja","language:ru","language:zh","license:cc-by-sa-4.0","size_categories:100K<n<1M","region:us"]

features:
[{"name":"id","dtype":"int32"},{"name":"base_sentence","dtype":"string"},{"name":"phrase","dtype":"string"},{"name":"edited_sentence","dtype":"string"}]


hub_id: chaojiang06/wiki_auto
license: ["cc-by-sa-3.0"]
language: ["en"]
config_name: auto_full_with_split
column_names: ["normal_sentence","simple_sentence"]
features: [{"name":"normal_sentence","dtype":"string"},{"name":"simple_sentence","dtype":"string"}]
tags:
["task_categories:text2text-generation","task_ids:text-simplification","annotations_creators:crowdsourced","annotations_creators:machine-generated","language_creators:found","multilinguality:monolingual","source_datasets:extended|other-wikipedia","language:en","license:cc-by-sa-3.0","size_categories:100K<n<1M","arxiv:2005.02324","region:us"]


hub_id: michaelauli/wiki_bio
license: ["cc-by-sa-3.0"]
language: ["en"]
config_name: default
column_names: ["input_text","target_text"]
tags:
["task_categories:table-to-text","annotations_creators:found","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-sa-3.0","size_categories:100K<n<1M","arxiv:1603.07771","region:us"]

features:
[{"name":"input_text","struct":[{"name":"table","sequence":[{"name":"column_header","dtype":"string"},{"name":"row_number","dtype":"int16"},{"name":"content","dtype":"string"}]},{"name":"context","dtype":"string"}]},{"name":"target_text","dtype":"string"}]


hub_id: facebook/wiki_dpr
license: ["cc-by-nc-4.0"]
language: ["en"]
config_name: psgs_w100.multiset.no_index
column_names: ["id","text","title","embeddings"]
tags:
["task_categories:fill-mask","task_categories:text-generation","task_ids:language-modeling","task_ids:masked-language-modeling","annotations_creators:no-annotation","language_creators:crowdsourced","multilinguality:multilingual","size_categories:10M<n<100M","source_datasets:original","language:en","license:cc-by-nc-4.0","text-search","arxiv:2004.04906","region:us"]

features:
[{"name":"id","dtype":"string"},{"name":"text","dtype":"string"},{"name":"title","dtype":"string"},{"name":"embeddings","sequence":"float32"}]


hub_id: QAngaroo/wiki_hop
license: ["cc-by-sa-3.0"]
language: ["en"]
config_name: masked
column_names: ["id","question","answer","candidates","supports","annotations"]
tags:
["task_categories:question-answering","task_ids:extractive-qa","annotations_creators:crowdsourced","language_creators:expert-generated","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-sa-3.0","size_categories:10K<n<100K","arxiv:1710.06481","region:us","multi-hop"]

features:
[{"name":"id","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"candidates","sequence":"string"},{"name":"supports","sequence":"string"},{"name":"annotations","sequence":{"sequence":"string"}}]


hub_id: esdurmus/wiki_lingua
license: ["cc-by-3.0"]
language: ["ar","cs","de","en","es","fr","hi","id","it","ja","ko","nl","pt","ru","th","tr","vi","zh"]
config_name: vietnamese
column_names: ["url","article"]
tags:
["task_categories:summarization","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:multilingual","source_datasets:original","language:ar","language:cs","language:de","language:en","language:es","language:fr","language:hi","language:id","language:it","language:ja","language:ko","language:nl","language:pt","language:ru","language:th","language:tr","language:vi","language:zh","license:cc-by-3.0","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","arxiv:2010.03093","region:us","croissant"]

features:
[{"name":"url","dtype":"string"},{"name":"article","sequence":[{"name":"section_name","dtype":"string"},{"name":"document","dtype":"string"},{"name":"summary","dtype":"string"},{"name":"english_url","dtype":"string"},{"name":"english_section_name","dtype":"string"}]}]


hub_id: facebook/wiki_movies
license: ["cc-by-3.0"]
language: ["en"]
config_name: default
column_names: ["question","answer"]
features: [{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"}]
tags:
["task_categories:question-answering","task_ids:closed-domain-qa","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-3.0","size_categories:100K<n<1M","arxiv:1606.03126","region:us"]


hub_id: microsoft/wiki_qa
license: ["other"]
language: ["en"]
config_name: default
column_names: ["question_id","question","document_title","answer","label"]
tags:
["task_categories:question-answering","task_ids:open-domain-qa","annotations_creators:crowdsourced","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:other","size_categories:1M<n<10M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"question_id","dtype":"string"},{"name":"question","dtype":"string"},{"name":"document_title","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"0","1":"1"}}}}]


hub_id: qcri/wiki_qa_ar
license: ["unknown"]
language: ["ar"]
config_name: plain_text
column_names: ["question_id","question","document_id","answer_id","answer","label"]
tags:
["task_categories:question-answering","task_ids:open-domain-qa","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:ar","license:unknown","size_categories:100K<n<1M","region:us"]

features:
[{"name":"question_id","dtype":"string"},{"name":"question","dtype":"string"},{"name":"document_id","dtype":"string"},{"name":"answer_id","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"0","1":"1"}}}}]


hub_id: community-datasets/wiki_snippets
license: ["unknown"]
language: ["en"]
config_name: wikipedia_en_100_0
tags:
["task_categories:text-generation","task_categories:other","task_ids:language-modeling","annotations_creators:no-annotation","language_creators:crowdsourced","multilinguality:multilingual","source_datasets:extended|wiki40b","source_datasets:extended|wikipedia","language:en","license:unknown","size_categories:10M<n<100M","parquet","tabular","text","datasets","dask","mlcroissant","region:us","text-search","croissant"]

column_names:
["_id","datasets_id","wiki_id","start_paragraph","start_character","end_paragraph","end_character","article_title","section_title","passage_text"]

features:
[{"name":"_id","dtype":"string"},{"name":"datasets_id","dtype":"int32"},{"name":"wiki_id","dtype":"string"},{"name":"start_paragraph","dtype":"int32"},{"name":"start_character","dtype":"int32"},{"name":"end_paragraph","dtype":"int32"},{"name":"end_character","dtype":"int32"},{"name":"article_title","dtype":"string"},{"name":"section_title","dtype":"string"},{"name":"passage_text","dtype":"string"}]


hub_id: Helsinki-NLP/wiki_source
license: ["unknown"]
language: ["en","sv"]
config_name: en-sv
column_names: ["id","translation"]
tags:
["task_categories:translation","annotations_creators:found","language_creators:found","multilinguality:multilingual","source_datasets:original","language:en","language:sv","license:unknown","size_categories:10K<n<100K","region:us"]

features:
[{"name":"id","dtype":"string"},{"name":"translation","dtype":{"translation":{"languages":["en","sv"]}}}]


hub_id: google-research-datasets/wiki_split
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
column_names: ["complex_sentence","simple_sentence_1","simple_sentence_2"]
tags:
["task_categories:text2text-generation","annotations_creators:machine-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-4.0","size_categories:100K<n<1M","arxiv:1808.09468","region:us","split-and-rephrase"]

features:
[{"name":"complex_sentence","dtype":"string"},{"name":"simple_sentence_1","dtype":"string"},{"name":"simple_sentence_2","dtype":"string"}]


hub_id: m3hrdadfi/wiki_summary
license: ["apache-2.0"]
language: ["fa"]
config_name: default
column_names: ["id","link","title","article","highlights"]
tags:
["task_categories:text2text-generation","task_categories:translation","task_categories:question-answering","task_categories:summarization","task_ids:abstractive-qa","task_ids:explanation-generation","task_ids:extractive-qa","task_ids:open-domain-qa","task_ids:open-domain-abstractive-qa","task_ids:text-simplification","annotations_creators:no-annotation","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:fa","license:apache-2.0","size_categories:10K<n<100K","region:us"]

features:
[{"name":"id","dtype":"string"},{"name":"link","dtype":"string"},{"name":"title","dtype":"string"},{"name":"article","dtype":"string"},{"name":"highlights","dtype":"string"}]


hub_id: unimelb-nlp/wikiann
license: ["unknown"]
config_name: zh-yue
column_names: ["tokens","ner_tags","langs","spans"]
tags:
["task_categories:token-classification","task_ids:named-entity-recognition","annotations_creators:machine-generated","language_creators:crowdsourced","multilinguality:multilingual","source_datasets:original","language:ace","language:af","language:als","language:am","language:an","language:ang","language:ar","language:arc","language:arz","language:as","language:ast","language:ay","language:az","language:ba","language:bar","language:be","language:bg","language:bh","language:bn","language:bo","language:br","language:bs","language:ca","language:cbk","language:cdo","language:ce","language:ceb","language:ckb","language:co","language:crh","language:cs","language:csb","language:cv","language:cy","language:da","language:de","language:diq","language:dv","language:el","language:eml","language:en","language:eo","language:es","language:et","language:eu","language:ext","language:fa","language:fi","language:fo","language:fr","language:frr","language:fur","language:fy","language:ga","language:gan","language:gd","language:gl","language:gn","language:gu","language:hak","language:he","language:hi","language:hr","language:hsb","language:hu","language:hy","language:ia","language:id","language:ig","language:ilo","language:io","language:is","language:it","language:ja","language:jbo","language:jv","language:ka","language:kk","language:km","language:kn","language:ko","language:ksh","language:ku","language:ky","language:la","language:lb","language:li","language:lij","language:lmo","language:ln","language:lt","language:lv","language:lzh","language:mg","language:mhr","language:mi","language:min","language:mk","language:ml","language:mn","language:mr","language:ms","language:mt","language:mwl","language:my","language:mzn","language:nan","language:nap","language:nds","language:ne","language:nl","language:nn","language:no","language:nov","language:oc","language:or","language:os","language:pa","language:pdc","language:pl","language:pms","language:pnb","language:ps","language:pt","language:qu","language:rm","language:ro","language:ru","language:rw","language:sa","language:sah","language:scn","language:sco","language:sd","language:sgs","language:sh","language:si","language:sk","language:sl","language:so","language:sq","language:sr","language:su","language:sv","language:sw","language:szl","language:ta","language:te","language:tg","language:th","language:tk","language:tl","language:tr","language:tt","language:ug","language:uk","language:ur","language:uz","language:vec","language:vep","language:vi","language:vls","language:vo","language:vro","language:wa","language:war","language:wuu","language:xmf","language:yi","language:yo","language:yue","language:zea","language:zh","license:unknown","size_categories:100M<n<1B","parquet","text","datasets","pandas","mlcroissant","arxiv:1902.00193","region:us","croissant"]

language:
["ace","af","als","am","an","ang","ar","arc","arz","as","ast","ay","az","ba","bar","be","bg","bh","bn","bo","br","bs","ca","cbk","cdo","ce","ceb","ckb","co","crh","cs","csb","cv","cy","da","de","diq","dv","el","eml","en","eo","es","et","eu","ext","fa","fi","fo","fr","frr","fur","fy","ga","gan","gd","gl","gn","gu","hak","he","hi","hr","hsb","hu","hy","ia","id","ig","ilo","io","is","it","ja","jbo","jv","ka","kk","km","kn","ko","ksh","ku","ky","la","lb","li","lij","lmo","ln","lt","lv","lzh","mg","mhr","mi","min","mk","ml","mn","mr","ms","mt","mwl","my","mzn","nan","nap","nds","ne","nl","nn","no","nov","oc","or","os","pa","pdc","pl","pms","pnb","ps","pt","qu","rm","ro","ru","rw","sa","sah","scn","sco","sd","sgs","sh","si","sk","sl","so","sq","sr","su","sv","sw","szl","ta","te","tg","th","tk","tl","tr","tt","ug","uk","ur","uz","vec","vep","vi","vls","vo","vro","wa","war","wuu","xmf","yi","yo","yue","zea","zh"]

features:
[{"name":"tokens","sequence":"string"},{"name":"ner_tags","sequence":{"class_label":{"names":{"0":"O","1":"B-PER","2":"I-PER","3":"B-ORG","4":"I-ORG","5":"B-LOC","6":"I-LOC"}}}},{"name":"langs","sequence":"string"},{"name":"spans","sequence":"string"}]


hub_id: gboleda/wikicorpus
license: ["gfdl"]
language: ["ca","en","es"]
config_name: tagged_en
column_names: ["id","title","sentence","lemmas","pos_tags","wordnet_senses"]
tags:
["task_categories:fill-mask","task_categories:text-classification","task_categories:text-generation","task_categories:token-classification","task_ids:language-modeling","task_ids:masked-language-modeling","task_ids:part-of-speech","annotations_creators:machine-generated","annotations_creators:no-annotation","language_creators:found","multilinguality:monolingual","source_datasets:original","language:ca","language:en","language:es","license:gfdl","size_categories:100K<n<1M","region:us","word-sense-disambiguation","lemmatization"]

features:
[{"name":"id","dtype":"string"},{"name":"title","dtype":"string"},{"name":"sentence","sequence":"string"},{"name":"lemmas","sequence":"string"},{"name":"pos_tags","sequence":"string"},{"name":"wordnet_senses","sequence":"string"}]


hub_id: wangwilliamyang/wikihow
tags: ["region:us"]
license: []
language: []
config_name: sep
column_names: ["text","headline","title","overview","sectionLabel"]
features:
[{"name":"text","dtype":"string"},{"name":"headline","dtype":"string"},{"name":"title","dtype":"string"},{"name":"overview","dtype":"string"},{"name":"sectionLabel","dtype":"string"}]


hub_id: legacy-datasets/wikipedia
license: ["cc-by-sa-3.0","gfdl"]
config_name: 20220301.simple
column_names: ["id","url","title","text"]
tags:
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["task_categories:translation","annotations_creators:no-annotation","language_creators:found","multilinguality:translation","source_datasets:extended|europarl_bilingual","source_datasets:extended|giga_fren","source_datasets:extended|news_commentary","source_datasets:extended|un_multi","language:cs","language:de","language:en","language:fi","language:fr","language:ru","license:unknown","size_categories:10M<n<100M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: wmt/wmt16
license: ["unknown"]
language: ["cs","de","en","fi","ro","ru","tr"]
config_name: tr-en
column_names: ["translation"]
features: [{"name":"translation","dtype":{"translation":{"languages":["tr","en"]}}}]
tags:
["task_categories:translation","annotations_creators:no-annotation","language_creators:found","multilinguality:translation","source_datasets:extended|europarl_bilingual","source_datasets:extended|news_commentary","source_datasets:extended|setimes","source_datasets:extended|un_multi","language:cs","language:de","language:en","language:fi","language:ro","language:ru","language:tr","license:unknown","size_categories:1B<n<10B","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: wmt/wmt17
license: ["unknown"]
language: ["cs","de","en","fi","lv","ru","tr","zh"]
config_name: zh-en
column_names: ["translation"]
features: [{"name":"translation","dtype":{"translation":{"languages":["zh","en"]}}}]
tags:
["task_categories:translation","annotations_creators:no-annotation","language_creators:found","multilinguality:translation","source_datasets:extended|europarl_bilingual","source_datasets:extended|news_commentary","source_datasets:extended|setimes","source_datasets:extended|un_multi","language:cs","language:de","language:en","language:fi","language:lv","language:ru","language:tr","language:zh","license:unknown","size_categories:10B<n<100B","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: wmt/wmt18
license: ["unknown"]
language: ["cs","de","en","et","fi","kk","ru","tr","zh"]
config_name: zh-en
column_names: ["translation"]
features: [{"name":"translation","dtype":{"translation":{"languages":["zh","en"]}}}]
tags:
["task_categories:translation","annotations_creators:no-annotation","language_creators:found","multilinguality:translation","source_datasets:extended|europarl_bilingual","source_datasets:extended|news_commentary","source_datasets:extended|opus_paracrawl","source_datasets:extended|setimes","source_datasets:extended|un_multi","language:cs","language:de","language:en","language:et","language:fi","language:kk","language:ru","language:tr","language:zh","license:unknown","size_categories:10B<n<100B","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: wmt/wmt19
license: ["unknown"]
language: ["cs","de","en","fi","fr","gu","kk","lt","ru","zh"]
config_name: zh-en
column_names: ["translation"]
features: [{"name":"translation","dtype":{"translation":{"languages":["zh","en"]}}}]
tags:
["task_categories:translation","annotations_creators:no-annotation","language_creators:found","multilinguality:translation","source_datasets:extended|europarl_bilingual","source_datasets:extended|news_commentary","source_datasets:extended|opus_paracrawl","source_datasets:extended|un_multi","language:cs","language:de","language:en","language:fi","language:fr","language:gu","language:kk","language:lt","language:ru","language:zh","license:unknown","size_categories:10B<n<100B","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: wmt/wmt20_mlqe_task1
license: ["unknown"]
language: ["de","en","et","ne","ro","ru","si","zh"]
config_name: si-en
tags:
["task_categories:translation","annotations_creators:expert-generated","annotations_creators:machine-generated","language_creators:found","multilinguality:translation","source_datasets:extended|reddit","source_datasets:extended|wikipedia","language:de","language:en","language:et","language:ne","language:ro","language:ru","language:si","language:zh","license:unknown","size_categories:10K<n<100K","parquet","tabular","text","timeseries","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["segid","translation","scores","mean","z_scores","z_mean","model_score","doc_id","nmt_output","word_probas"]

features:
[{"name":"segid","dtype":"int32"},{"name":"translation","dtype":{"translation":{"languages":["si","en"]}}},{"name":"scores","sequence":"float32"},{"name":"mean","dtype":"float32"},{"name":"z_scores","sequence":"float32"},{"name":"z_mean","dtype":"float32"},{"name":"model_score","dtype":"float32"},{"name":"doc_id","dtype":"string"},{"name":"nmt_output","dtype":"string"},{"name":"word_probas","sequence":"float32"}]


hub_id: wmt/wmt20_mlqe_task2
license: ["unknown"]
language: ["de","en","zh"]
config_name: en-zh
column_names: ["translation","src_tags","mt_tags","pe","hter","alignments"]
tags:
["task_categories:translation","task_categories:text-classification","annotations_creators:expert-generated","annotations_creators:machine-generated","language_creators:found","multilinguality:translation","source_datasets:extended|wikipedia","language:de","language:en","language:zh","license:unknown","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","arxiv:1902.08646","region:us","translation-quality-estimation","croissant"]

features:
[{"name":"translation","dtype":{"translation":{"languages":["en","zh"]}}},{"name":"src_tags","sequence":{"class_label":{"names":{"0":"BAD","1":"OK"}}}},{"name":"mt_tags","sequence":{"class_label":{"names":{"0":"BAD","1":"OK"}}}},{"name":"pe","dtype":"string"},{"name":"hter","dtype":"float32"},{"name":"alignments","sequence":{"sequence":"int32"}}]


hub_id: wmt/wmt20_mlqe_task3
license: ["unknown"]
language: ["en","fr"]
config_name: plain_text
tags:
["task_categories:translation","annotations_creators:expert-generated","annotations_creators:machine-generated","language_creators:found","multilinguality:translation","source_datasets:extended|amazon_us_reviews","language:en","language:fr","license:unknown","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["document_id","source_segments","source_tokenized","mt_segments","mt_tokenized","annotations","token_annotations","token_index","total_words"]

features:
[{"name":"document_id","dtype":"string"},{"name":"source_segments","sequence":"string"},{"name":"source_tokenized","sequence":"string"},{"name":"mt_segments","sequence":"string"},{"name":"mt_tokenized","sequence":"string"},{"name":"annotations","sequence":[{"name":"segment_id","sequence":"int32"},{"name":"annotation_start","sequence":"int32"},{"name":"annotation_length","sequence":"int32"},{"name":"severity","dtype":{"class_label":{"names":{"0":"minor","1":"major","2":"critical"}}}},{"name":"severity_weight","dtype":"float32"},{"name":"category","dtype":{"class_label":{"names":{"0":"Addition","1":"Agreement","2":"Ambiguous Translation","3":"Capitalization","4":"Character Encoding","5":"Company Terminology","6":"Date/Time","7":"Diacritics","8":"Duplication","9":"False Friend","10":"Grammatical Register","11":"Hyphenation","12":"Inconsistency","13":"Lexical Register","14":"Lexical Selection","15":"Named Entity","16":"Number","17":"Omitted Auxiliary Verb","18":"Omitted Conjunction","19":"Omitted Determiner","20":"Omitted Preposition","21":"Omitted Pronoun","22":"Orthography","23":"Other POS Omitted","24":"Over-translation","25":"Overly Literal","26":"POS","27":"Punctuation","28":"Shouldn't Have Been Translated","29":"Shouldn't have been translated","30":"Spelling","31":"Tense/Mood/Aspect","32":"Under-translation","33":"Unidiomatic","34":"Unintelligible","35":"Unit Conversion","36":"Untranslated","37":"Whitespace","38":"Word Order","39":"Wrong Auxiliary Verb","40":"Wrong Conjunction","41":"Wrong Determiner","42":"Wrong Language Variety","43":"Wrong Preposition","44":"Wrong Pronoun"}}}}]},{"name":"token_annotations","sequence":[{"name":"segment_id","sequence":"int32"},{"name":"first_token","sequence":"int32"},{"name":"last_token","sequence":"int32"},{"name":"token_after_gap","sequence":"int32"},{"name":"severity","dtype":{"class_label":{"names":{"0":"minor","1":"major","2":"critical"}}}},{"name":"category","dtype":{"class_label":{"names":{"0":"Addition","1":"Agreement","2":"Ambiguous Translation","3":"Capitalization","4":"Character Encoding","5":"Company Terminology","6":"Date/Time","7":"Diacritics","8":"Duplication","9":"False Friend","10":"Grammatical Register","11":"Hyphenation","12":"Inconsistency","13":"Lexical Register","14":"Lexical Selection","15":"Named Entity","16":"Number","17":"Omitted Auxiliary Verb","18":"Omitted Conjunction","19":"Omitted Determiner","20":"Omitted Preposition","21":"Omitted Pronoun","22":"Orthography","23":"Other POS Omitted","24":"Over-translation","25":"Overly Literal","26":"POS","27":"Punctuation","28":"Shouldn't Have Been Translated","29":"Shouldn't have been translated","30":"Spelling","31":"Tense/Mood/Aspect","32":"Under-translation","33":"Unidiomatic","34":"Unintelligible","35":"Unit Conversion","36":"Untranslated","37":"Whitespace","38":"Word Order","39":"Wrong Auxiliary Verb","40":"Wrong Conjunction","41":"Wrong Determiner","42":"Wrong Language Variety","43":"Wrong Preposition","44":"Wrong Pronoun"}}}}]},{"name":"token_index","sequence":{"sequence":{"sequence":"int32"}}},{"name":"total_words","dtype":"int32"}]


hub_id: wmt/wmt_t2t
license: ["unknown"]
language: ["de","en"]
config_name: de-en
column_names: ["translation"]
features: [{"name":"translation","dtype":{"translation":{"languages":["de","en"]}}}]
tags:
["task_categories:translation","annotations_creators:no-annotation","language_creators:found","multilinguality:translation","source_datasets:extended|europarl_bilingual","source_datasets:extended|news_commentary","source_datasets:extended|opus_paracrawl","source_datasets:extended|un_multi","language:de","language:en","license:unknown","size_categories:1M<n<10M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: leondz/wnut_17
license: ["cc-by-4.0"]
language: ["en"]
config_name: wnut_17
column_names: ["id","tokens","ner_tags"]
tags:
["task_categories:token-classification","task_ids:named-entity-recognition","annotations_creators:crowdsourced","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-4.0","size_categories:1K<n<10K","region:us"]

features:
[{"name":"id","dtype":"string"},{"name":"tokens","sequence":"string"},{"name":"ner_tags","sequence":{"class_label":{"names":{"0":"O","1":"B-corporation","2":"I-corporation","3":"B-creative-work","4":"I-creative-work","5":"B-group","6":"I-group","7":"B-location","8":"I-location","9":"B-person","10":"I-person","11":"B-product","12":"I-product"}}}}]


hub_id: Wongnai/wongnai_reviews
license: ["lgpl-3.0"]
language: ["th"]
config_name: default
column_names: ["review_body","star_rating"]
tags:
["task_categories:text-classification","task_ids:sentiment-classification","annotations_creators:found","language_creators:found","multilinguality:monolingual","source_datasets:original","language:th","license:lgpl-3.0","size_categories:10K<n<100K","region:us"]

features:
[{"name":"review_body","dtype":"string"},{"name":"star_rating","dtype":{"class_label":{"names":{"0":"1","1":"2","2":"3","3":"4","4":"5"}}}}]


hub_id: PolyAI/woz_dialogue
license: ["unknown"]
language: ["de","en","it"]
config_name: it_en
column_names: ["dialogue_idx","dialogue"]
tags:
["task_categories:text-generation","task_categories:fill-mask","task_categories:token-classification","task_categories:text-classification","task_ids:dialogue-modeling","task_ids:multi-class-classification","task_ids:parsing","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:de","language:en","language:it","license:unknown","size_categories:1K<n<10K","arxiv:1604.04562","region:us"]

features:
[{"name":"dialogue_idx","dtype":"int32"},{"name":"dialogue","list":[{"name":"turn_label","sequence":{"sequence":"string"}},{"name":"asr","sequence":{"sequence":"string"}},{"name":"system_transcript","dtype":"string"},{"name":"turn_idx","dtype":"int32"},{"name":"belief_state","list":[{"name":"slots","sequence":{"sequence":"string"}},{"name":"act","dtype":"string"}]},{"name":"transcript","dtype":"string"},{"name":"system_acts","sequence":{"sequence":"string"}}]}]


hub_id: CLARIN-PL/wrbsc
license: ["cc-by-sa-3.0"]
language: ["pl"]
config_name: default
column_names: ["sentence1","sentence2","relationship"]
tags:
["task_categories:text-classification","task_ids:semantic-similarity-classification","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:pl","license:cc-by-sa-3.0","size_categories:1K<n<10K","region:us"]

features:
[{"name":"sentence1","dtype":"string"},{"name":"sentence2","dtype":"string"},{"name":"relationship","dtype":{"class_label":{"names":{"0":"Krzy\u017cowanie_si\u0119","1":"T\u0142o_historyczne","2":"\u0179r\u00f3d\u0142o","3":"Dalsze_informacje","4":"Zawieranie","5":"Opis","6":"Uszczeg\u00f3\u0142owienie","7":"Parafraza","8":"Spe\u0142nienie","9":"Mowa_zale\u017cna","10":"Zmiana_pogl\u0105du","11":"Streszczenie","12":"To\u017csamo\u015b\u0107","13":"Sprzeczno\u015b\u0107","14":"Modalno\u015b\u0107","15":"Cytowanie"}}}}]


hub_id: ZurichNLP/x_stance
license: ["cc-by-nc-4.0"]
language: ["de","en","fr","it"]
config_name: default
column_names: ["question","id","question_id","language","comment","label","numerical_label","author","topic"]
tags:
["task_categories:text-classification","annotations_creators:machine-generated","language_creators:found","multilinguality:multilingual","source_datasets:original","language:de","language:en","language:fr","language:it","license:cc-by-nc-4.0","size_categories:10K<n<100K","arxiv:2003.08385","region:us","stance-detection"]

features:
[{"name":"question","dtype":"string"},{"name":"id","dtype":"int32"},{"name":"question_id","dtype":"int32"},{"name":"language","dtype":"string"},{"name":"comment","dtype":"string"},{"name":"label","dtype":"string"},{"name":"numerical_label","dtype":"int32"},{"name":"author","dtype":"string"},{"name":"topic","dtype":"string"}]


hub_id: cambridgeltl/xcopa
license: ["cc-by-4.0"]
language: ["et","ht","id","it","qu","sw","ta","th","tr","vi","zh"]
config_name: zh
column_names: ["premise","choice1","choice2","question","label","idx","changed"]
tags:
["task_categories:question-answering","task_ids:multiple-choice-qa","annotations_creators:expert-generated","language_creators:expert-generated","multilinguality:multilingual","source_datasets:extended|copa","language:et","language:ht","language:id","language:it","language:qu","language:sw","language:ta","language:th","language:tr","language:vi","language:zh","license:cc-by-4.0","size_categories:1M<n<10M","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"premise","dtype":"string"},{"name":"choice1","dtype":"string"},{"name":"choice2","dtype":"string"},{"name":"question","dtype":"string"},{"name":"label","dtype":"int32"},{"name":"idx","dtype":"int32"},{"name":"changed","dtype":"bool"}]


hub_id: INK-USC/xcsr
license: ["mit"]
language: ["ar","de","en","es","fr","hi","it","ja","nl","pl","pt","ru","sw","ur","vi","zh"]
config_name: X-CSQA-zh
column_names: ["id","lang","question","answerKey"]
tags:
["task_categories:question-answering","task_ids:multiple-choice-qa","annotations_creators:crowdsourced","language_creators:crowdsourced","language_creators:machine-generated","multilinguality:multilingual","source_datasets:extended|codah","source_datasets:extended|commonsense_qa","language:ar","language:de","language:en","language:es","language:fr","language:hi","language:it","language:ja","language:nl","language:pl","language:pt","language:ru","language:sw","language:ur","language:vi","language:zh","license:mit","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","arxiv:2106.06937","region:us","croissant"]

features:
[{"name":"id","dtype":"string"},{"name":"lang","dtype":"string"},{"name":"question","struct":[{"name":"stem","dtype":"string"},{"name":"choices","sequence":[{"name":"label","dtype":"string"},{"name":"text","dtype":"string"}]}]},{"name":"answerKey","dtype":"string"}]


hub_id: Helsinki-NLP/xed_en_fi
license: ["cc-by-4.0"]
language: ["en","fi"]
config_name: fi_neutral
column_names: ["sentence","labels"]
tags:
["task_categories:text-classification","task_ids:intent-classification","task_ids:multi-class-classification","task_ids:multi-label-classification","task_ids:sentiment-classification","annotations_creators:expert-generated","language_creators:found","multilinguality:multilingual","source_datasets:extended|other-OpenSubtitles2016","language:en","language:fi","license:cc-by-4.0","size_categories:10K<n<100K","arxiv:2011.01612","region:us"]

features:
[{"name":"sentence","dtype":"string"},{"name":"labels","dtype":{"class_label":{"names":{"0":"neutral","1":"anger","2":"anticipation","3":"disgust","4":"fear","5":"joy","6":"sadness","7":"surprise","8":"trust"}}}}]


hub_id: microsoft/xglue
license: ["other"]
language: ["ar","bg","de","el","en","es","fr","hi","it","nl","pl","pt","ru","sw","th","tr","ur","vi","zh"]
config_name: ntg
column_names: ["news_body","news_title"]
features: [{"name":"news_body","dtype":"string"},{"name":"news_title","dtype":"string"}]
tags:
["task_categories:question-answering","task_categories:summarization","task_categories:text-classification","task_categories:text2text-generation","task_categories:token-classification","task_ids:acceptability-classification","task_ids:extractive-qa","task_ids:named-entity-recognition","task_ids:natural-language-inference","task_ids:news-articles-headline-generation","task_ids:open-domain-qa","task_ids:parsing","task_ids:topic-classification","annotations_creators:crowdsourced","annotations_creators:expert-generated","annotations_creators:found","annotations_creators:machine-generated","language_creators:crowdsourced","language_creators:expert-generated","language_creators:found","language_creators:machine-generated","multilinguality:multilingual","multilinguality:translation","source_datasets:extended|conll2003","source_datasets:extended|squad","source_datasets:extended|xnli","source_datasets:original","language:ar","language:bg","language:de","language:el","language:en","language:es","language:fr","language:hi","language:it","language:nl","language:pl","language:pt","language:ru","language:sw","language:th","language:tr","language:ur","language:vi","language:zh","license:other","size_categories:100K<n<1M","arxiv:2004.01401","region:us","paraphrase-identification","question-answering"]


hub_id: facebook/xnli
license: []
language: ["ar","bg","de","el","en","es","fr","hi","ru","sw","th","tr","ur","vi","zh"]
config_name: zh
column_names: ["premise","hypothesis","label"]
tags:
["language:ar","language:bg","language:de","language:el","language:en","language:es","language:fr","language:hi","language:ru","language:sw","language:th","language:tr","language:ur","language:vi","language:zh","size_categories:1B<n<10B","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: akariasai/xor_tydi_qa
license: ["mit"]
language: ["ar","bn","fi","ja","ko","ru","te"]
config_name: xor-full
column_names: ["question","lang","answers"]
tags:
["task_categories:question-answering","task_ids:open-domain-qa","annotations_creators:crowdsourced","language_creators:expert-generated","language_creators:found","multilinguality:multilingual","source_datasets:original","source_datasets:extended|tydiqa","language:ar","language:bn","language:fi","language:ja","language:ko","language:ru","language:te","license:mit","size_categories:10K<n<100K","arxiv:2010.11856","region:us"]

features:
[{"name":"question","dtype":"string"},{"name":"lang","dtype":{"class_label":{"names":{"0":"ar","1":"bn","2":"fi","3":"ja","4":"ko","5":"ru","6":"te"}}}},{"name":"answers","dtype":"string"}]


hub_id: google/xquad
license: ["cc-by-sa-4.0"]
language: ["ar","de","el","en","es","hi","ro","ru","th","tr","vi","zh"]
config_name: xquad.zh
column_names: ["id","context","question","answers"]
tags:
["task_categories:question-answering","task_ids:extractive-qa","annotations_creators:expert-generated","language_creators:expert-generated","multilinguality:multilingual","source_datasets:extended|squad","language:ar","language:de","language:el","language:en","language:es","language:hi","language:ro","language:ru","language:th","language:tr","language:vi","language:zh","license:cc-by-sa-4.0","size_categories:1M<n<10M","parquet","text","datasets","pandas","mlcroissant","arxiv:1910.11856","region:us","croissant"]

features:
[{"name":"id","dtype":"string"},{"name":"context","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answers","sequence":[{"name":"text","dtype":"string"},{"name":"answer_start","dtype":"int32"}]}]


hub_id: google-research-datasets/xquad_r
license: ["cc-by-sa-4.0"]
language: ["ar","de","el","en","es","hi","ru","th","tr","vi","zh"]
config_name: zh
column_names: ["id","context","question","answers"]
tags:
["task_categories:question-answering","task_ids:extractive-qa","annotations_creators:expert-generated","language_creators:found","multilinguality:multilingual","source_datasets:extended|squad","source_datasets:extended|xquad","language:ar","language:de","language:el","language:en","language:es","language:hi","language:ru","language:th","language:tr","language:vi","language:zh","license:cc-by-sa-4.0","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","arxiv:2004.05484","region:us","croissant"]


hub_id: EdinburghNLP/xsum
license: ["unknown"]
language: ["en"]
config_name: default
column_names: ["document","summary","id"]
tags:
["task_categories:summarization","task_ids:news-articles-summarization","annotations_creators:found","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:unknown","size_categories:100K<n<1M","text","datasets","mlcroissant","arxiv:1808.08745","region:us","croissant"]

features:
[{"name":"document","dtype":"string"},{"name":"summary","dtype":"string"},{"name":"id","dtype":"string"}]


hub_id: google-research-datasets/xsum_factuality
license: ["cc-by-4.0"]
language: ["en"]
config_name: xsum_faithfulness
tags:
["task_categories:summarization","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:monolingual","size_categories:1K<n<10K","source_datasets:extended|other-xsum","language:en","license:cc-by-4.0","hallucinations","region:us"]

column_names:
["bbcid","system","summary","hallucination_type","hallucinated_span_start","hallucinated_span_end","worker_id"]

features:
[{"name":"bbcid","dtype":"int32"},{"name":"system","dtype":"string"},{"name":"summary","dtype":"string"},{"name":"hallucination_type","dtype":{"class_label":{"names":{"0":"intrinsic","1":"extrinsic"}}}},{"name":"hallucinated_span_start","dtype":"int32"},{"name":"hallucinated_span_end","dtype":"int32"},{"name":"worker_id","dtype":"string"}]


hub_id: google/xtreme
license: ["apache-2.0","cc-by-4.0","cc-by-2.0","cc-by-sa-4.0","other","cc-by-nc-4.0"]
config_name: udpos.Yoruba
column_names: ["tokens","pos_tags"]
tags:
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language:
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hub_id: nfL6/yahoo_answers_qa
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config_name: yahoo_answers_qa
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hub_id: community-datasets/yahoo_answers_topics
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hub_id: fancyzhx/yelp_polarity
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hub_id: Yelp/yelp_review_full
license: ["other"]
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hub_id: UdS-LSV/yoruba_bbc_topics
license: ["unknown"]
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config_name: default
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hub_id: ajesujoba/yoruba_gv_ner
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hub_id: ajesujoba/yoruba_text_c3
license: ["cc-by-nc-4.0"]
language: ["yo"]
config_name: yoruba_text_c3
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hub_id: ajesujoba/yoruba_wordsim353
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hub_id: community-datasets/youtube_caption_corrections
license: ["mit"]
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hub_id: allenai/zest
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hub_id: GEM/wiki_auto_asset_turk
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hub_id: Jean-Baptiste/wikiner_fr
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hub_id: alvp/alberti-stanzas
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hub_id: bigscience/P3
license: ["apache-2.0"]
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hub_id: biglam/hmd_newspapers
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hub_id: DFKI-SLT/mobie
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hub_id: imvladikon/hebrew_speech_coursera
license: []
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config_name: default
column_names: ["audio","sentence"]
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hub_id: polinaeterna/benchmark
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hub_id: wikimedia/wikipedia
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hub_id: Stanford/wikitablequestions
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hub_id: community-datasets/roman_urdu_hate_speech
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hub_id: Bingsu/Cat_and_Dog
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hub_id: Filippo/osdg_cd
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hub_id: toxigen/toxigen-data
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hub_id: ILSVRC/imagenet-1k
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["task_categories:image-classification","task_ids:multi-class-image-classification","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:original","language:en","license:other","size_categories:1M<n<10M","arxiv:1409.0575","arxiv:1912.07726","arxiv:1811.12231","arxiv:2109.13228","region:us"]

features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"tench, Tinca tinca","1":"goldfish, Carassius auratus","2":"great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias","3":"tiger shark, Galeocerdo cuvieri","4":"hammerhead, hammerhead shark","5":"electric ray, crampfish, numbfish, torpedo","6":"stingray","7":"cock","8":"hen","9":"ostrich, Struthio camelus","10":"brambling, Fringilla montifringilla","11":"goldfinch, Carduelis carduelis","12":"house finch, linnet, Carpodacus mexicanus","13":"junco, snowbird","14":"indigo bunting, indigo finch, indigo bird, Passerina cyanea","15":"robin, American robin, Turdus migratorius","16":"bulbul","17":"jay","18":"magpie","19":"chickadee","20":"water ouzel, dipper","21":"kite","22":"bald eagle, American eagle, Haliaeetus leucocephalus","23":"vulture","24":"great grey owl, great gray owl, Strix nebulosa","25":"European fire salamander, Salamandra salamandra","26":"common newt, Triturus vulgaris","27":"eft","28":"spotted salamander, Ambystoma maculatum","29":"axolotl, mud puppy, Ambystoma mexicanum","30":"bullfrog, Rana catesbeiana","31":"tree frog, tree-frog","32":"tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui","33":"loggerhead, loggerhead turtle, Caretta caretta","34":"leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea","35":"mud turtle","36":"terrapin","37":"box turtle, box tortoise","38":"banded gecko","39":"common iguana, iguana, Iguana iguana","40":"American chameleon, anole, Anolis carolinensis","41":"whiptail, whiptail lizard","42":"agama","43":"frilled lizard, Chlamydosaurus kingi","44":"alligator lizard","45":"Gila monster, Heloderma suspectum","46":"green lizard, Lacerta viridis","47":"African chameleon, Chamaeleo chamaeleon","48":"Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis","49":"African crocodile, Nile crocodile, Crocodylus niloticus","50":"American alligator, Alligator mississipiensis","51":"triceratops","52":"thunder snake, worm snake, Carphophis amoenus","53":"ringneck snake, ring-necked snake, ring snake","54":"hognose snake, puff adder, sand viper","55":"green snake, grass snake","56":"king snake, kingsnake","57":"garter snake, grass snake","58":"water snake","59":"vine snake","60":"night snake, Hypsiglena torquata","61":"boa constrictor, Constrictor constrictor","62":"rock python, rock snake, Python sebae","63":"Indian cobra, Naja naja","64":"green mamba","65":"sea snake","66":"horned viper, cerastes, sand viper, horned asp, Cerastes cornutus","67":"diamondback, diamondback rattlesnake, Crotalus adamanteus","68":"sidewinder, horned rattlesnake, Crotalus cerastes","69":"trilobite","70":"harvestman, daddy longlegs, Phalangium opilio","71":"scorpion","72":"black and gold garden spider, Argiope aurantia","73":"barn spider, Araneus cavaticus","74":"garden spider, Aranea diademata","75":"black widow, Latrodectus mactans","76":"tarantula","77":"wolf spider, hunting spider","78":"tick","79":"centipede","80":"black grouse","81":"ptarmigan","82":"ruffed grouse, partridge, Bonasa umbellus","83":"prairie chicken, prairie grouse, prairie fowl","84":"peacock","85":"quail","86":"partridge","87":"African grey, African gray, Psittacus erithacus","88":"macaw","89":"sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita","90":"lorikeet","91":"coucal","92":"bee eater","93":"hornbill","94":"hummingbird","95":"jacamar","96":"toucan","97":"drake","98":"red-breasted merganser, Mergus serrator","99":"goose","100":"black swan, Cygnus atratus","101":"tusker","102":"echidna, spiny anteater, anteater","103":"platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus","104":"wallaby, brush kangaroo","105":"koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus","106":"wombat","107":"jellyfish","108":"sea anemone, anemone","109":"brain coral","110":"flatworm, platyhelminth","111":"nematode, nematode worm, roundworm","112":"conch","113":"snail","114":"slug","115":"sea slug, nudibranch","116":"chiton, coat-of-mail shell, sea cradle, polyplacophore","117":"chambered nautilus, pearly nautilus, nautilus","118":"Dungeness crab, Cancer magister","119":"rock crab, Cancer irroratus","120":"fiddler crab","121":"king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica","122":"American lobster, Northern lobster, Maine lobster, Homarus americanus","123":"spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish","124":"crayfish, crawfish, crawdad, crawdaddy","125":"hermit crab","126":"isopod","127":"white stork, Ciconia ciconia","128":"black stork, Ciconia nigra","129":"spoonbill","130":"flamingo","131":"little blue heron, Egretta caerulea","132":"American egret, great white heron, Egretta albus","133":"bittern","134":"crane","135":"limpkin, Aramus pictus","136":"European gallinule, Porphyrio porphyrio","137":"American coot, marsh hen, mud hen, water hen, Fulica americana","138":"bustard","139":"ruddy turnstone, Arenaria interpres","140":"red-backed sandpiper, dunlin, Erolia alpina","141":"redshank, Tringa totanus","142":"dowitcher","143":"oystercatcher, oyster catcher","144":"pelican","145":"king penguin, Aptenodytes patagonica","146":"albatross, mollymawk","147":"grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus","148":"killer whale, killer, orca, grampus, sea wolf, Orcinus orca","149":"dugong, Dugong dugon","150":"sea lion","151":"Chihuahua","152":"Japanese spaniel","153":"Maltese dog, Maltese terrier, Maltese","154":"Pekinese, Pekingese, Peke","155":"Shih-Tzu","156":"Blenheim spaniel","157":"papillon","158":"toy terrier","159":"Rhodesian ridgeback","160":"Afghan hound, Afghan","161":"basset, basset hound","162":"beagle","163":"bloodhound, sleuthhound","164":"bluetick","165":"black-and-tan coonhound","166":"Walker hound, Walker foxhound","167":"English foxhound","168":"redbone","169":"borzoi, Russian wolfhound","170":"Irish wolfhound","171":"Italian greyhound","172":"whippet","173":"Ibizan hound, Ibizan Podenco","174":"Norwegian elkhound, elkhound","175":"otterhound, otter hound","176":"Saluki, gazelle hound","177":"Scottish deerhound, deerhound","178":"Weimaraner","179":"Staffordshire bullterrier, Staffordshire bull terrier","180":"American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier","181":"Bedlington terrier","182":"Border terrier","183":"Kerry blue terrier","184":"Irish terrier","185":"Norfolk terrier","186":"Norwich terrier","187":"Yorkshire terrier","188":"wire-haired fox terrier","189":"Lakeland terrier","190":"Sealyham terrier, Sealyham","191":"Airedale, Airedale terrier","192":"cairn, cairn terrier","193":"Australian terrier","194":"Dandie Dinmont, Dandie Dinmont terrier","195":"Boston bull, Boston terrier","196":"miniature schnauzer","197":"giant schnauzer","198":"standard schnauzer","199":"Scotch terrier, Scottish terrier, Scottie","200":"Tibetan terrier, chrysanthemum dog","201":"silky terrier, Sydney silky","202":"soft-coated wheaten terrier","203":"West Highland white terrier","204":"Lhasa, Lhasa apso","205":"flat-coated retriever","206":"curly-coated retriever","207":"golden retriever","208":"Labrador retriever","209":"Chesapeake Bay retriever","210":"German short-haired pointer","211":"vizsla, Hungarian pointer","212":"English setter","213":"Irish setter, red setter","214":"Gordon setter","215":"Brittany spaniel","216":"clumber, clumber spaniel","217":"English springer, English springer spaniel","218":"Welsh springer spaniel","219":"cocker spaniel, English cocker spaniel, cocker","220":"Sussex spaniel","221":"Irish water spaniel","222":"kuvasz","223":"schipperke","224":"groenendael","225":"malinois","226":"briard","227":"kelpie","228":"komondor","229":"Old English sheepdog, bobtail","230":"Shetland sheepdog, Shetland sheep dog, Shetland","231":"collie","232":"Border collie","233":"Bouvier des Flandres, Bouviers des Flandres","234":"Rottweiler","235":"German shepherd, German shepherd dog, German police dog, alsatian","236":"Doberman, Doberman pinscher","237":"miniature pinscher","238":"Greater Swiss Mountain dog","239":"Bernese mountain dog","240":"Appenzeller","241":"EntleBucher","242":"boxer","243":"bull mastiff","244":"Tibetan mastiff","245":"French bulldog","246":"Great Dane","247":"Saint Bernard, St Bernard","248":"Eskimo dog, husky","249":"malamute, malemute, Alaskan malamute","250":"Siberian husky","251":"dalmatian, coach dog, carriage dog","252":"affenpinscher, monkey pinscher, monkey dog","253":"basenji","254":"pug, pug-dog","255":"Leonberg","256":"Newfoundland, Newfoundland dog","257":"Great Pyrenees","258":"Samoyed, Samoyede","259":"Pomeranian","260":"chow, chow chow","261":"keeshond","262":"Brabancon griffon","263":"Pembroke, Pembroke Welsh corgi","264":"Cardigan, Cardigan Welsh corgi","265":"toy poodle","266":"miniature poodle","267":"standard poodle","268":"Mexican hairless","269":"timber wolf, grey wolf, gray wolf, Canis lupus","270":"white wolf, Arctic wolf, Canis lupus tundrarum","271":"red wolf, maned wolf, Canis rufus, Canis niger","272":"coyote, prairie wolf, brush wolf, Canis latrans","273":"dingo, warrigal, warragal, Canis dingo","274":"dhole, Cuon alpinus","275":"African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus","276":"hyena, hyaena","277":"red fox, Vulpes vulpes","278":"kit fox, Vulpes macrotis","279":"Arctic fox, white fox, Alopex lagopus","280":"grey fox, gray fox, Urocyon cinereoargenteus","281":"tabby, tabby cat","282":"tiger cat","283":"Persian cat","284":"Siamese cat, Siamese","285":"Egyptian cat","286":"cougar, puma, catamount, mountain lion, painter, panther, Felis concolor","287":"lynx, catamount","288":"leopard, Panthera pardus","289":"snow leopard, ounce, Panthera uncia","290":"jaguar, panther, Panthera onca, Felis onca","291":"lion, king of beasts, Panthera leo","292":"tiger, Panthera tigris","293":"cheetah, chetah, Acinonyx jubatus","294":"brown bear, bruin, Ursus arctos","295":"American black bear, black bear, Ursus americanus, Euarctos americanus","296":"ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus","297":"sloth bear, Melursus ursinus, Ursus ursinus","298":"mongoose","299":"meerkat, mierkat","300":"tiger beetle","301":"ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle","302":"ground beetle, carabid beetle","303":"long-horned beetle, longicorn, longicorn beetle","304":"leaf beetle, chrysomelid","305":"dung beetle","306":"rhinoceros beetle","307":"weevil","308":"fly","309":"bee","310":"ant, emmet, pismire","311":"grasshopper, hopper","312":"cricket","313":"walking stick, walkingstick, stick insect","314":"cockroach, roach","315":"mantis, mantid","316":"cicada, cicala","317":"leafhopper","318":"lacewing, lacewing fly","319":"dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk","320":"damselfly","321":"admiral","322":"ringlet, ringlet butterfly","323":"monarch, monarch butterfly, milkweed butterfly, Danaus plexippus","324":"cabbage butterfly","325":"sulphur butterfly, sulfur butterfly","326":"lycaenid, lycaenid butterfly","327":"starfish, sea star","328":"sea urchin","329":"sea cucumber, holothurian","330":"wood rabbit, cottontail, cottontail rabbit","331":"hare","332":"Angora, Angora rabbit","333":"hamster","334":"porcupine, hedgehog","335":"fox squirrel, eastern fox squirrel, Sciurus niger","336":"marmot","337":"beaver","338":"guinea pig, Cavia cobaya","339":"sorrel","340":"zebra","341":"hog, pig, grunter, squealer, Sus scrofa","342":"wild boar, boar, Sus scrofa","343":"warthog","344":"hippopotamus, hippo, river horse, Hippopotamus amphibius","345":"ox","346":"water buffalo, water ox, Asiatic buffalo, Bubalus bubalis","347":"bison","348":"ram, tup","349":"bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis","350":"ibex, Capra ibex","351":"hartebeest","352":"impala, Aepyceros melampus","353":"gazelle","354":"Arabian camel, dromedary, Camelus dromedarius","355":"llama","356":"weasel","357":"mink","358":"polecat, fitch, foulmart, foumart, Mustela putorius","359":"black-footed ferret, ferret, Mustela nigripes","360":"otter","361":"skunk, polecat, wood pussy","362":"badger","363":"armadillo","364":"three-toed sloth, ai, Bradypus tridactylus","365":"orangutan, orang, orangutang, Pongo pygmaeus","366":"gorilla, Gorilla gorilla","367":"chimpanzee, chimp, Pan troglodytes","368":"gibbon, Hylobates lar","369":"siamang, Hylobates syndactylus, Symphalangus syndactylus","370":"guenon, guenon monkey","371":"patas, hussar monkey, Erythrocebus patas","372":"baboon","373":"macaque","374":"langur","375":"colobus, colobus monkey","376":"proboscis monkey, Nasalis larvatus","377":"marmoset","378":"capuchin, ringtail, Cebus capucinus","379":"howler monkey, howler","380":"titi, titi monkey","381":"spider monkey, Ateles geoffroyi","382":"squirrel monkey, Saimiri sciureus","383":"Madagascar cat, ring-tailed lemur, Lemur catta","384":"indri, indris, Indri indri, Indri brevicaudatus","385":"Indian elephant, Elephas maximus","386":"African elephant, Loxodonta africana","387":"lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens","388":"giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca","389":"barracouta, snoek","390":"eel","391":"coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch","392":"rock beauty, Holocanthus tricolor","393":"anemone fish","394":"sturgeon","395":"gar, garfish, garpike, billfish, Lepisosteus osseus","396":"lionfish","397":"puffer, pufferfish, blowfish, globefish","398":"abacus","399":"abaya","400":"academic gown, academic robe, judge's robe","401":"accordion, piano accordion, squeeze box","402":"acoustic guitar","403":"aircraft carrier, carrier, flattop, attack aircraft carrier","404":"airliner","405":"airship, dirigible","406":"altar","407":"ambulance","408":"amphibian, amphibious vehicle","409":"analog clock","410":"apiary, bee house","411":"apron","412":"ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin","413":"assault rifle, assault gun","414":"backpack, back pack, knapsack, packsack, rucksack, haversack","415":"bakery, bakeshop, bakehouse","416":"balance beam, beam","417":"balloon","418":"ballpoint, ballpoint pen, ballpen, Biro","419":"Band Aid","420":"banjo","421":"bannister, banister, balustrade, balusters, handrail","422":"barbell","423":"barber chair","424":"barbershop","425":"barn","426":"barometer","427":"barrel, cask","428":"barrow, garden cart, lawn cart, wheelbarrow","429":"baseball","430":"basketball","431":"bassinet","432":"bassoon","433":"bathing cap, swimming cap","434":"bath towel","435":"bathtub, bathing tub, bath, tub","436":"beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon","437":"beacon, lighthouse, beacon light, pharos","438":"beaker","439":"bearskin, busby, shako","440":"beer bottle","441":"beer glass","442":"bell cote, bell cot","443":"bib","444":"bicycle-built-for-two, tandem bicycle, tandem","445":"bikini, two-piece","446":"binder, ring-binder","447":"binoculars, field glasses, opera glasses","448":"birdhouse","449":"boathouse","450":"bobsled, bobsleigh, bob","451":"bolo tie, bolo, bola tie, bola","452":"bonnet, poke bonnet","453":"bookcase","454":"bookshop, bookstore, bookstall","455":"bottlecap","456":"bow","457":"bow tie, bow-tie, bowtie","458":"brass, memorial tablet, plaque","459":"brassiere, bra, bandeau","460":"breakwater, groin, groyne, mole, bulwark, seawall, jetty","461":"breastplate, aegis, egis","462":"broom","463":"bucket, pail","464":"buckle","465":"bulletproof vest","466":"bullet train, bullet","467":"butcher shop, meat market","468":"cab, hack, taxi, taxicab","469":"caldron, cauldron","470":"candle, taper, wax light","471":"cannon","472":"canoe","473":"can opener, tin opener","474":"cardigan","475":"car mirror","476":"carousel, carrousel, merry-go-round, roundabout, whirligig","477":"carpenter's kit, tool kit","478":"carton","479":"car wheel","480":"cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM","481":"cassette","482":"cassette player","483":"castle","484":"catamaran","485":"CD player","486":"cello, violoncello","487":"cellular telephone, cellular phone, cellphone, cell, mobile phone","488":"chain","489":"chainlink fence","490":"chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour","491":"chain saw, chainsaw","492":"chest","493":"chiffonier, commode","494":"chime, bell, gong","495":"china cabinet, china closet","496":"Christmas stocking","497":"church, church building","498":"cinema, movie theater, movie theatre, movie house, picture palace","499":"cleaver, meat cleaver, chopper","500":"cliff dwelling","501":"cloak","502":"clog, geta, patten, sabot","503":"cocktail shaker","504":"coffee mug","505":"coffeepot","506":"coil, spiral, volute, whorl, helix","507":"combination lock","508":"computer keyboard, keypad","509":"confectionery, confectionary, candy store","510":"container ship, containership, container vessel","511":"convertible","512":"corkscrew, bottle screw","513":"cornet, horn, trumpet, trump","514":"cowboy boot","515":"cowboy hat, ten-gallon hat","516":"cradle","517":"crane2","518":"crash helmet","519":"crate","520":"crib, cot","521":"Crock Pot","522":"croquet ball","523":"crutch","524":"cuirass","525":"dam, dike, dyke","526":"desk","527":"desktop computer","528":"dial telephone, dial phone","529":"diaper, nappy, napkin","530":"digital clock","531":"digital watch","532":"dining table, board","533":"dishrag, dishcloth","534":"dishwasher, dish washer, dishwashing machine","535":"disk brake, disc brake","536":"dock, dockage, docking facility","537":"dogsled, dog sled, dog sleigh","538":"dome","539":"doormat, welcome mat","540":"drilling platform, offshore rig","541":"drum, membranophone, tympan","542":"drumstick","543":"dumbbell","544":"Dutch oven","545":"electric fan, blower","546":"electric guitar","547":"electric locomotive","548":"entertainment center","549":"envelope","550":"espresso maker","551":"face powder","552":"feather boa, boa","553":"file, file cabinet, filing cabinet","554":"fireboat","555":"fire engine, fire truck","556":"fire screen, fireguard","557":"flagpole, flagstaff","558":"flute, transverse flute","559":"folding chair","560":"football helmet","561":"forklift","562":"fountain","563":"fountain pen","564":"four-poster","565":"freight car","566":"French horn, horn","567":"frying pan, frypan, skillet","568":"fur coat","569":"garbage truck, dustcart","570":"gasmask, respirator, gas helmet","571":"gas pump, gasoline pump, petrol pump, island dispenser","572":"goblet","573":"go-kart","574":"golf ball","575":"golfcart, golf cart","576":"gondola","577":"gong, tam-tam","578":"gown","579":"grand piano, grand","580":"greenhouse, nursery, glasshouse","581":"grille, radiator grille","582":"grocery store, grocery, food market, market","583":"guillotine","584":"hair slide","585":"hair spray","586":"half track","587":"hammer","588":"hamper","589":"hand blower, blow dryer, blow drier, hair dryer, hair drier","590":"hand-held computer, hand-held microcomputer","591":"handkerchief, hankie, hanky, hankey","592":"hard disc, hard disk, fixed disk","593":"harmonica, mouth organ, harp, mouth harp","594":"harp","595":"harvester, reaper","596":"hatchet","597":"holster","598":"home theater, home theatre","599":"honeycomb","600":"hook, claw","601":"hoopskirt, crinoline","602":"horizontal bar, high bar","603":"horse cart, horse-cart","604":"hourglass","605":"iPod","606":"iron, smoothing iron","607":"jack-o'-lantern","608":"jean, blue jean, denim","609":"jeep, landrover","610":"jersey, T-shirt, tee shirt","611":"jigsaw puzzle","612":"jinrikisha, ricksha, rickshaw","613":"joystick","614":"kimono","615":"knee pad","616":"knot","617":"lab coat, laboratory coat","618":"ladle","619":"lampshade, lamp shade","620":"laptop, laptop computer","621":"lawn mower, mower","622":"lens cap, lens cover","623":"letter opener, paper knife, paperknife","624":"library","625":"lifeboat","626":"lighter, light, igniter, ignitor","627":"limousine, limo","628":"liner, ocean liner","629":"lipstick, lip rouge","630":"Loafer","631":"lotion","632":"loudspeaker, speaker, speaker unit, loudspeaker system, speaker system","633":"loupe, jeweler's loupe","634":"lumbermill, sawmill","635":"magnetic compass","636":"mailbag, postbag","637":"mailbox, letter box","638":"maillot","639":"maillot, tank suit","640":"manhole cover","641":"maraca","642":"marimba, xylophone","643":"mask","644":"matchstick","645":"maypole","646":"maze, labyrinth","647":"measuring cup","648":"medicine chest, medicine cabinet","649":"megalith, megalithic structure","650":"microphone, mike","651":"microwave, microwave oven","652":"military uniform","653":"milk can","654":"minibus","655":"miniskirt, mini","656":"minivan","657":"missile","658":"mitten","659":"mixing bowl","660":"mobile home, manufactured home","661":"Model T","662":"modem","663":"monastery","664":"monitor","665":"moped","666":"mortar","667":"mortarboard","668":"mosque","669":"mosquito net","670":"motor scooter, scooter","671":"mountain bike, all-terrain bike, off-roader","672":"mountain tent","673":"mouse, computer mouse","674":"mousetrap","675":"moving van","676":"muzzle","677":"nail","678":"neck brace","679":"necklace","680":"nipple","681":"notebook, notebook computer","682":"obelisk","683":"oboe, hautboy, hautbois","684":"ocarina, sweet potato","685":"odometer, hodometer, mileometer, milometer","686":"oil filter","687":"organ, pipe organ","688":"oscilloscope, scope, cathode-ray oscilloscope, CRO","689":"overskirt","690":"oxcart","691":"oxygen mask","692":"packet","693":"paddle, boat paddle","694":"paddlewheel, paddle wheel","695":"padlock","696":"paintbrush","697":"pajama, pyjama, pj's, jammies","698":"palace","699":"panpipe, pandean pipe, syrinx","700":"paper towel","701":"parachute, chute","702":"parallel bars, bars","703":"park bench","704":"parking meter","705":"passenger car, coach, carriage","706":"patio, terrace","707":"pay-phone, pay-station","708":"pedestal, plinth, footstall","709":"pencil box, pencil case","710":"pencil sharpener","711":"perfume, essence","712":"Petri dish","713":"photocopier","714":"pick, plectrum, plectron","715":"pickelhaube","716":"picket fence, paling","717":"pickup, pickup truck","718":"pier","719":"piggy bank, penny bank","720":"pill bottle","721":"pillow","722":"ping-pong ball","723":"pinwheel","724":"pirate, pirate ship","725":"pitcher, ewer","726":"plane, carpenter's plane, woodworking plane","727":"planetarium","728":"plastic bag","729":"plate rack","730":"plow, plough","731":"plunger, plumber's helper","732":"Polaroid camera, Polaroid Land camera","733":"pole","734":"police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria","735":"poncho","736":"pool table, billiard table, snooker table","737":"pop bottle, soda bottle","738":"pot, flowerpot","739":"potter's wheel","740":"power drill","741":"prayer rug, prayer mat","742":"printer","743":"prison, prison house","744":"projectile, missile","745":"projector","746":"puck, hockey puck","747":"punching bag, punch bag, punching ball, punchball","748":"purse","749":"quill, quill pen","750":"quilt, comforter, comfort, puff","751":"racer, race car, racing car","752":"racket, racquet","753":"radiator","754":"radio, wireless","755":"radio telescope, radio reflector","756":"rain barrel","757":"recreational vehicle, RV, R.V.","758":"reel","759":"reflex camera","760":"refrigerator, icebox","761":"remote control, remote","762":"restaurant, eating house, eating place, eatery","763":"revolver, six-gun, six-shooter","764":"rifle","765":"rocking chair, rocker","766":"rotisserie","767":"rubber eraser, rubber, pencil eraser","768":"rugby ball","769":"rule, ruler","770":"running shoe","771":"safe","772":"safety pin","773":"saltshaker, salt shaker","774":"sandal","775":"sarong","776":"sax, saxophone","777":"scabbard","778":"scale, weighing machine","779":"school bus","780":"schooner","781":"scoreboard","782":"screen, CRT screen","783":"screw","784":"screwdriver","785":"seat belt, seatbelt","786":"sewing machine","787":"shield, buckler","788":"shoe shop, shoe-shop, shoe store","789":"shoji","790":"shopping basket","791":"shopping cart","792":"shovel","793":"shower cap","794":"shower curtain","795":"ski","796":"ski mask","797":"sleeping bag","798":"slide rule, slipstick","799":"sliding door","800":"slot, one-armed bandit","801":"snorkel","802":"snowmobile","803":"snowplow, snowplough","804":"soap dispenser","805":"soccer ball","806":"sock","807":"solar dish, solar collector, solar 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hub_id: yanaiela/tne
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["id","text","tokens","nps","np_relations","coref","metadata"]
tags:
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hub_id: andstor/smart_contract_code_comments
license: []
language: []
config_name: data
column_names:
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hub_id: facebook/textvqa
license: ["cc-by-4.0"]
language: ["en"]
config_name: textvqa
tags:
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hub_id: ETDataset/ett
license: ["cc-by-4.0"]
language: []
config_name: m2
column_names: ["start","target","feat_static_cat","feat_dynamic_real","item_id"]
tags:
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hub_id: mdroth/github-issues
license: []
language: []
config_name: default
tags:
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hub_id: openlifescienceai/medmcqa
license: ["apache-2.0"]
language: ["en"]
config_name: default
column_names: ["id","question","opa","opb","opc","opd","cop","choice_type","exp","subject_name","topic_name"]
tags:
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hub_id: mdroth/transformers_issues_labels
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["url","text","num_labels","arr_labels","labels"]
features:
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hub_id: songweig/imagenet_sketch
license: ["unknown"]
language: ["en"]
config_name: default
column_names: ["image","label"]
tags:
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features:
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spider, hunting spider","78":"tick","79":"centipede","80":"black grouse","81":"ptarmigan","82":"ruffed grouse, partridge, Bonasa umbellus","83":"prairie chicken, prairie grouse, prairie fowl","84":"peacock","85":"quail","86":"partridge","87":"African grey, African gray, Psittacus erithacus","88":"macaw","89":"sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita","90":"lorikeet","91":"coucal","92":"bee eater","93":"hornbill","94":"hummingbird","95":"jacamar","96":"toucan","97":"drake","98":"red-breasted merganser, Mergus serrator","99":"goose","100":"black swan, Cygnus atratus","101":"tusker","102":"echidna, spiny anteater, anteater","103":"platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus","104":"wallaby, brush kangaroo","105":"koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus","106":"wombat","107":"jellyfish","108":"sea anemone, anemone","109":"brain coral","110":"flatworm, platyhelminth","111":"nematode, nematode worm, roundworm","112":"conch","113":"snail","114":"slug","115":"sea slug, nudibranch","116":"chiton, coat-of-mail shell, sea cradle, polyplacophore","117":"chambered nautilus, pearly nautilus, nautilus","118":"Dungeness crab, Cancer magister","119":"rock crab, Cancer irroratus","120":"fiddler crab","121":"king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica","122":"American lobster, Northern lobster, Maine lobster, Homarus americanus","123":"spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish","124":"crayfish, crawfish, crawdad, crawdaddy","125":"hermit crab","126":"isopod","127":"white stork, Ciconia ciconia","128":"black stork, Ciconia nigra","129":"spoonbill","130":"flamingo","131":"little blue heron, Egretta caerulea","132":"American egret, great white heron, Egretta albus","133":"bittern","134":"crane","135":"limpkin, Aramus pictus","136":"European gallinule, Porphyrio porphyrio","137":"American coot, marsh hen, mud hen, water hen, Fulica americana","138":"bustard","139":"ruddy turnstone, Arenaria interpres","140":"red-backed sandpiper, dunlin, Erolia alpina","141":"redshank, Tringa totanus","142":"dowitcher","143":"oystercatcher, oyster catcher","144":"pelican","145":"king penguin, Aptenodytes patagonica","146":"albatross, mollymawk","147":"grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus","148":"killer whale, killer, orca, grampus, sea wolf, Orcinus orca","149":"dugong, Dugong dugon","150":"sea lion","151":"Chihuahua","152":"Japanese spaniel","153":"Maltese dog, Maltese terrier, Maltese","154":"Pekinese, Pekingese, Peke","155":"Shih-Tzu","156":"Blenheim spaniel","157":"papillon","158":"toy terrier","159":"Rhodesian ridgeback","160":"Afghan hound, Afghan","161":"basset, basset hound","162":"beagle","163":"bloodhound, sleuthhound","164":"bluetick","165":"black-and-tan coonhound","166":"Walker hound, Walker foxhound","167":"English foxhound","168":"redbone","169":"borzoi, Russian wolfhound","170":"Irish wolfhound","171":"Italian greyhound","172":"whippet","173":"Ibizan hound, Ibizan Podenco","174":"Norwegian elkhound, elkhound","175":"otterhound, otter hound","176":"Saluki, gazelle hound","177":"Scottish deerhound, deerhound","178":"Weimaraner","179":"Staffordshire bullterrier, Staffordshire bull terrier","180":"American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier","181":"Bedlington terrier","182":"Border terrier","183":"Kerry blue terrier","184":"Irish terrier","185":"Norfolk terrier","186":"Norwich terrier","187":"Yorkshire terrier","188":"wire-haired fox terrier","189":"Lakeland terrier","190":"Sealyham terrier, Sealyham","191":"Airedale, Airedale terrier","192":"cairn, cairn terrier","193":"Australian terrier","194":"Dandie Dinmont, Dandie Dinmont terrier","195":"Boston bull, Boston terrier","196":"miniature schnauzer","197":"giant schnauzer","198":"standard schnauzer","199":"Scotch terrier, Scottish terrier, Scottie","200":"Tibetan terrier, chrysanthemum dog","201":"silky terrier, Sydney silky","202":"soft-coated wheaten terrier","203":"West Highland white terrier","204":"Lhasa, Lhasa apso","205":"flat-coated retriever","206":"curly-coated retriever","207":"golden retriever","208":"Labrador retriever","209":"Chesapeake Bay retriever","210":"German short-haired pointer","211":"vizsla, Hungarian pointer","212":"English setter","213":"Irish setter, red setter","214":"Gordon setter","215":"Brittany spaniel","216":"clumber, clumber spaniel","217":"English springer, English springer spaniel","218":"Welsh springer spaniel","219":"cocker spaniel, English cocker spaniel, cocker","220":"Sussex spaniel","221":"Irish water spaniel","222":"kuvasz","223":"schipperke","224":"groenendael","225":"malinois","226":"briard","227":"kelpie","228":"komondor","229":"Old English sheepdog, bobtail","230":"Shetland sheepdog, Shetland sheep dog, Shetland","231":"collie","232":"Border collie","233":"Bouvier des Flandres, Bouviers des Flandres","234":"Rottweiler","235":"German shepherd, German shepherd dog, German police dog, alsatian","236":"Doberman, Doberman pinscher","237":"miniature pinscher","238":"Greater Swiss Mountain dog","239":"Bernese mountain dog","240":"Appenzeller","241":"EntleBucher","242":"boxer","243":"bull mastiff","244":"Tibetan mastiff","245":"French bulldog","246":"Great Dane","247":"Saint Bernard, St Bernard","248":"Eskimo dog, husky","249":"malamute, malemute, Alaskan malamute","250":"Siberian husky","251":"dalmatian, coach dog, carriage dog","252":"affenpinscher, monkey pinscher, monkey dog","253":"basenji","254":"pug, pug-dog","255":"Leonberg","256":"Newfoundland, Newfoundland dog","257":"Great Pyrenees","258":"Samoyed, Samoyede","259":"Pomeranian","260":"chow, chow chow","261":"keeshond","262":"Brabancon griffon","263":"Pembroke, Pembroke Welsh corgi","264":"Cardigan, Cardigan Welsh corgi","265":"toy poodle","266":"miniature poodle","267":"standard poodle","268":"Mexican hairless","269":"timber wolf, grey wolf, gray wolf, Canis lupus","270":"white wolf, Arctic wolf, Canis lupus tundrarum","271":"red wolf, maned wolf, Canis rufus, Canis niger","272":"coyote, prairie wolf, brush wolf, Canis latrans","273":"dingo, warrigal, warragal, Canis dingo","274":"dhole, Cuon alpinus","275":"African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus","276":"hyena, hyaena","277":"red fox, Vulpes vulpes","278":"kit fox, Vulpes macrotis","279":"Arctic fox, white fox, Alopex lagopus","280":"grey fox, gray fox, Urocyon cinereoargenteus","281":"tabby, tabby cat","282":"tiger cat","283":"Persian cat","284":"Siamese cat, Siamese","285":"Egyptian cat","286":"cougar, puma, catamount, mountain lion, painter, panther, Felis concolor","287":"lynx, catamount","288":"leopard, Panthera pardus","289":"snow leopard, ounce, Panthera uncia","290":"jaguar, panther, Panthera onca, Felis onca","291":"lion, king of beasts, Panthera leo","292":"tiger, Panthera tigris","293":"cheetah, chetah, Acinonyx jubatus","294":"brown bear, bruin, Ursus arctos","295":"American black bear, black bear, Ursus americanus, Euarctos americanus","296":"ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus","297":"sloth bear, Melursus ursinus, Ursus ursinus","298":"mongoose","299":"meerkat, mierkat","300":"tiger beetle","301":"ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle","302":"ground beetle, carabid beetle","303":"long-horned beetle, longicorn, longicorn beetle","304":"leaf beetle, chrysomelid","305":"dung beetle","306":"rhinoceros beetle","307":"weevil","308":"fly","309":"bee","310":"ant, emmet, pismire","311":"grasshopper, hopper","312":"cricket","313":"walking stick, walkingstick, stick insect","314":"cockroach, roach","315":"mantis, mantid","316":"cicada, cicala","317":"leafhopper","318":"lacewing, lacewing fly","319":"dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk","320":"damselfly","321":"admiral","322":"ringlet, ringlet butterfly","323":"monarch, monarch butterfly, milkweed butterfly, Danaus plexippus","324":"cabbage butterfly","325":"sulphur butterfly, sulfur butterfly","326":"lycaenid, lycaenid butterfly","327":"starfish, sea star","328":"sea urchin","329":"sea cucumber, holothurian","330":"wood rabbit, cottontail, cottontail rabbit","331":"hare","332":"Angora, Angora rabbit","333":"hamster","334":"porcupine, hedgehog","335":"fox squirrel, eastern fox squirrel, Sciurus niger","336":"marmot","337":"beaver","338":"guinea pig, Cavia cobaya","339":"sorrel","340":"zebra","341":"hog, pig, grunter, squealer, Sus scrofa","342":"wild boar, boar, Sus scrofa","343":"warthog","344":"hippopotamus, hippo, river horse, Hippopotamus amphibius","345":"ox","346":"water buffalo, water ox, Asiatic buffalo, Bubalus bubalis","347":"bison","348":"ram, tup","349":"bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis","350":"ibex, Capra ibex","351":"hartebeest","352":"impala, Aepyceros melampus","353":"gazelle","354":"Arabian camel, dromedary, Camelus dromedarius","355":"llama","356":"weasel","357":"mink","358":"polecat, fitch, foulmart, foumart, Mustela putorius","359":"black-footed ferret, ferret, Mustela nigripes","360":"otter","361":"skunk, polecat, wood pussy","362":"badger","363":"armadillo","364":"three-toed sloth, ai, Bradypus tridactylus","365":"orangutan, orang, orangutang, Pongo pygmaeus","366":"gorilla, Gorilla gorilla","367":"chimpanzee, chimp, Pan troglodytes","368":"gibbon, Hylobates lar","369":"siamang, Hylobates syndactylus, Symphalangus syndactylus","370":"guenon, guenon monkey","371":"patas, hussar monkey, Erythrocebus patas","372":"baboon","373":"macaque","374":"langur","375":"colobus, colobus monkey","376":"proboscis monkey, Nasalis larvatus","377":"marmoset","378":"capuchin, ringtail, Cebus capucinus","379":"howler monkey, howler","380":"titi, titi monkey","381":"spider monkey, Ateles geoffroyi","382":"squirrel monkey, Saimiri sciureus","383":"Madagascar cat, ring-tailed lemur, Lemur catta","384":"indri, indris, Indri indri, Indri brevicaudatus","385":"Indian elephant, Elephas maximus","386":"African elephant, Loxodonta africana","387":"lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens","388":"giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca","389":"barracouta, snoek","390":"eel","391":"coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch","392":"rock beauty, Holocanthus tricolor","393":"anemone fish","394":"sturgeon","395":"gar, garfish, garpike, billfish, Lepisosteus osseus","396":"lionfish","397":"puffer, pufferfish, blowfish, globefish","398":"abacus","399":"abaya","400":"academic gown, academic robe, judge's robe","401":"accordion, piano accordion, squeeze box","402":"acoustic guitar","403":"aircraft carrier, carrier, flattop, attack aircraft carrier","404":"airliner","405":"airship, dirigible","406":"altar","407":"ambulance","408":"amphibian, amphibious vehicle","409":"analog clock","410":"apiary, bee house","411":"apron","412":"ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin","413":"assault rifle, assault gun","414":"backpack, back pack, knapsack, packsack, rucksack, haversack","415":"bakery, bakeshop, bakehouse","416":"balance beam, beam","417":"balloon","418":"ballpoint, ballpoint pen, ballpen, Biro","419":"Band Aid","420":"banjo","421":"bannister, banister, balustrade, balusters, handrail","422":"barbell","423":"barber chair","424":"barbershop","425":"barn","426":"barometer","427":"barrel, cask","428":"barrow, garden cart, lawn cart, wheelbarrow","429":"baseball","430":"basketball","431":"bassinet","432":"bassoon","433":"bathing cap, swimming cap","434":"bath towel","435":"bathtub, bathing tub, bath, tub","436":"beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon","437":"beacon, lighthouse, beacon light, pharos","438":"beaker","439":"bearskin, busby, shako","440":"beer bottle","441":"beer glass","442":"bell cote, bell cot","443":"bib","444":"bicycle-built-for-two, tandem bicycle, tandem","445":"bikini, two-piece","446":"binder, ring-binder","447":"binoculars, field glasses, opera glasses","448":"birdhouse","449":"boathouse","450":"bobsled, bobsleigh, bob","451":"bolo tie, bolo, bola tie, bola","452":"bonnet, poke bonnet","453":"bookcase","454":"bookshop, bookstore, bookstall","455":"bottlecap","456":"bow","457":"bow tie, bow-tie, bowtie","458":"brass, memorial tablet, plaque","459":"brassiere, bra, bandeau","460":"breakwater, groin, groyne, mole, bulwark, seawall, jetty","461":"breastplate, aegis, egis","462":"broom","463":"bucket, pail","464":"buckle","465":"bulletproof vest","466":"bullet train, bullet","467":"butcher shop, meat market","468":"cab, hack, taxi, taxicab","469":"caldron, cauldron","470":"candle, taper, wax light","471":"cannon","472":"canoe","473":"can opener, tin opener","474":"cardigan","475":"car mirror","476":"carousel, carrousel, merry-go-round, roundabout, whirligig","477":"carpenter's kit, tool kit","478":"carton","479":"car wheel","480":"cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM","481":"cassette","482":"cassette player","483":"castle","484":"catamaran","485":"CD player","486":"cello, violoncello","487":"cellular telephone, cellular phone, cellphone, cell, mobile phone","488":"chain","489":"chainlink fence","490":"chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour","491":"chain saw, chainsaw","492":"chest","493":"chiffonier, commode","494":"chime, bell, gong","495":"china cabinet, china closet","496":"Christmas stocking","497":"church, church building","498":"cinema, movie theater, movie theatre, movie house, picture palace","499":"cleaver, meat cleaver, chopper","500":"cliff dwelling","501":"cloak","502":"clog, geta, patten, sabot","503":"cocktail shaker","504":"coffee mug","505":"coffeepot","506":"coil, spiral, volute, whorl, helix","507":"combination lock","508":"computer keyboard, keypad","509":"confectionery, confectionary, candy store","510":"container ship, containership, container vessel","511":"convertible","512":"corkscrew, bottle screw","513":"cornet, horn, trumpet, trump","514":"cowboy boot","515":"cowboy hat, ten-gallon hat","516":"cradle","517":"crane2","518":"crash helmet","519":"crate","520":"crib, cot","521":"Crock Pot","522":"croquet ball","523":"crutch","524":"cuirass","525":"dam, dike, dyke","526":"desk","527":"desktop computer","528":"dial telephone, dial phone","529":"diaper, nappy, napkin","530":"digital clock","531":"digital watch","532":"dining table, board","533":"dishrag, dishcloth","534":"dishwasher, dish washer, dishwashing machine","535":"disk brake, disc brake","536":"dock, dockage, docking facility","537":"dogsled, dog sled, dog sleigh","538":"dome","539":"doormat, welcome mat","540":"drilling platform, offshore rig","541":"drum, membranophone, tympan","542":"drumstick","543":"dumbbell","544":"Dutch oven","545":"electric fan, blower","546":"electric guitar","547":"electric locomotive","548":"entertainment center","549":"envelope","550":"espresso maker","551":"face powder","552":"feather boa, boa","553":"file, file cabinet, filing cabinet","554":"fireboat","555":"fire engine, fire truck","556":"fire screen, fireguard","557":"flagpole, flagstaff","558":"flute, transverse flute","559":"folding chair","560":"football helmet","561":"forklift","562":"fountain","563":"fountain pen","564":"four-poster","565":"freight car","566":"French horn, horn","567":"frying pan, frypan, skillet","568":"fur coat","569":"garbage truck, dustcart","570":"gasmask, respirator, gas helmet","571":"gas pump, gasoline pump, petrol pump, island dispenser","572":"goblet","573":"go-kart","574":"golf ball","575":"golfcart, golf cart","576":"gondola","577":"gong, tam-tam","578":"gown","579":"grand piano, grand","580":"greenhouse, nursery, glasshouse","581":"grille, radiator grille","582":"grocery store, grocery, food market, market","583":"guillotine","584":"hair slide","585":"hair spray","586":"half track","587":"hammer","588":"hamper","589":"hand blower, blow dryer, blow drier, hair dryer, hair drier","590":"hand-held computer, hand-held microcomputer","591":"handkerchief, hankie, hanky, hankey","592":"hard disc, hard disk, fixed disk","593":"harmonica, mouth organ, harp, mouth harp","594":"harp","595":"harvester, reaper","596":"hatchet","597":"holster","598":"home theater, home theatre","599":"honeycomb","600":"hook, claw","601":"hoopskirt, crinoline","602":"horizontal bar, high bar","603":"horse cart, horse-cart","604":"hourglass","605":"iPod","606":"iron, smoothing iron","607":"jack-o'-lantern","608":"jean, blue jean, denim","609":"jeep, landrover","610":"jersey, T-shirt, tee shirt","611":"jigsaw puzzle","612":"jinrikisha, ricksha, rickshaw","613":"joystick","614":"kimono","615":"knee pad","616":"knot","617":"lab coat, laboratory coat","618":"ladle","619":"lampshade, lamp shade","620":"laptop, laptop computer","621":"lawn mower, mower","622":"lens cap, lens cover","623":"letter opener, paper knife, paperknife","624":"library","625":"lifeboat","626":"lighter, light, igniter, ignitor","627":"limousine, limo","628":"liner, ocean liner","629":"lipstick, lip rouge","630":"Loafer","631":"lotion","632":"loudspeaker, speaker, speaker unit, loudspeaker system, speaker system","633":"loupe, jeweler's loupe","634":"lumbermill, sawmill","635":"magnetic compass","636":"mailbag, postbag","637":"mailbox, letter box","638":"maillot","639":"maillot, tank suit","640":"manhole cover","641":"maraca","642":"marimba, xylophone","643":"mask","644":"matchstick","645":"maypole","646":"maze, labyrinth","647":"measuring cup","648":"medicine chest, medicine cabinet","649":"megalith, megalithic structure","650":"microphone, mike","651":"microwave, microwave oven","652":"military uniform","653":"milk can","654":"minibus","655":"miniskirt, mini","656":"minivan","657":"missile","658":"mitten","659":"mixing bowl","660":"mobile home, manufactured home","661":"Model T","662":"modem","663":"monastery","664":"monitor","665":"moped","666":"mortar","667":"mortarboard","668":"mosque","669":"mosquito net","670":"motor scooter, scooter","671":"mountain bike, all-terrain bike, off-roader","672":"mountain tent","673":"mouse, computer mouse","674":"mousetrap","675":"moving van","676":"muzzle","677":"nail","678":"neck brace","679":"necklace","680":"nipple","681":"notebook, notebook computer","682":"obelisk","683":"oboe, hautboy, hautbois","684":"ocarina, sweet potato","685":"odometer, hodometer, mileometer, milometer","686":"oil filter","687":"organ, pipe organ","688":"oscilloscope, scope, cathode-ray oscilloscope, CRO","689":"overskirt","690":"oxcart","691":"oxygen mask","692":"packet","693":"paddle, boat paddle","694":"paddlewheel, paddle wheel","695":"padlock","696":"paintbrush","697":"pajama, pyjama, pj's, jammies","698":"palace","699":"panpipe, pandean pipe, syrinx","700":"paper towel","701":"parachute, chute","702":"parallel bars, bars","703":"park bench","704":"parking meter","705":"passenger car, coach, carriage","706":"patio, terrace","707":"pay-phone, pay-station","708":"pedestal, plinth, footstall","709":"pencil box, pencil case","710":"pencil sharpener","711":"perfume, essence","712":"Petri dish","713":"photocopier","714":"pick, plectrum, plectron","715":"pickelhaube","716":"picket fence, paling","717":"pickup, pickup truck","718":"pier","719":"piggy bank, penny bank","720":"pill bottle","721":"pillow","722":"ping-pong ball","723":"pinwheel","724":"pirate, pirate ship","725":"pitcher, ewer","726":"plane, carpenter's plane, woodworking plane","727":"planetarium","728":"plastic bag","729":"plate rack","730":"plow, plough","731":"plunger, plumber's helper","732":"Polaroid camera, Polaroid Land camera","733":"pole","734":"police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria","735":"poncho","736":"pool table, billiard table, snooker table","737":"pop bottle, soda bottle","738":"pot, flowerpot","739":"potter's wheel","740":"power drill","741":"prayer rug, prayer mat","742":"printer","743":"prison, prison house","744":"projectile, missile","745":"projector","746":"puck, hockey puck","747":"punching bag, punch bag, punching ball, punchball","748":"purse","749":"quill, quill pen","750":"quilt, comforter, comfort, puff","751":"racer, race car, racing car","752":"racket, racquet","753":"radiator","754":"radio, wireless","755":"radio telescope, radio reflector","756":"rain barrel","757":"recreational vehicle, RV, R.V.","758":"reel","759":"reflex camera","760":"refrigerator, icebox","761":"remote control, remote","762":"restaurant, eating house, eating place, eatery","763":"revolver, six-gun, six-shooter","764":"rifle","765":"rocking chair, rocker","766":"rotisserie","767":"rubber eraser, rubber, pencil eraser","768":"rugby ball","769":"rule, ruler","770":"running shoe","771":"safe","772":"safety pin","773":"saltshaker, salt shaker","774":"sandal","775":"sarong","776":"sax, saxophone","777":"scabbard","778":"scale, weighing machine","779":"school bus","780":"schooner","781":"scoreboard","782":"screen, CRT screen","783":"screw","784":"screwdriver","785":"seat belt, seatbelt","786":"sewing machine","787":"shield, buckler","788":"shoe shop, shoe-shop, shoe store","789":"shoji","790":"shopping basket","791":"shopping cart","792":"shovel","793":"shower cap","794":"shower curtain","795":"ski","796":"ski mask","797":"sleeping bag","798":"slide rule, slipstick","799":"sliding door","800":"slot, one-armed bandit","801":"snorkel","802":"snowmobile","803":"snowplow, snowplough","804":"soap dispenser","805":"soccer ball","806":"sock","807":"solar dish, solar collector, solar furnace","808":"sombrero","809":"soup bowl","810":"space bar","811":"space heater","812":"space shuttle","813":"spatula","814":"speedboat","815":"spider web, spider's web","816":"spindle","817":"sports car, sport car","818":"spotlight, spot","819":"stage","820":"steam locomotive","821":"steel arch bridge","822":"steel drum","823":"stethoscope","824":"stole","825":"stone wall","826":"stopwatch, stop watch","827":"stove","828":"strainer","829":"streetcar, tram, tramcar, trolley, trolley car","830":"stretcher","831":"studio couch, day bed","832":"stupa, tope","833":"submarine, pigboat, sub, U-boat","834":"suit, suit of clothes","835":"sundial","836":"sunglass","837":"sunglasses, dark glasses, shades","838":"sunscreen, sunblock, sun blocker","839":"suspension bridge","840":"swab, swob, mop","841":"sweatshirt","842":"swimming trunks, bathing trunks","843":"swing","844":"switch, electric switch, electrical switch","845":"syringe","846":"table lamp","847":"tank, army tank, armored combat vehicle, armoured combat vehicle","848":"tape player","849":"teapot","850":"teddy, teddy bear","851":"television, television system","852":"tennis ball","853":"thatch, thatched roof","854":"theater curtain, theatre curtain","855":"thimble","856":"thresher, thrasher, threshing machine","857":"throne","858":"tile roof","859":"toaster","860":"tobacco shop, tobacconist shop, tobacconist","861":"toilet seat","862":"torch","863":"totem pole","864":"tow truck, tow car, wrecker","865":"toyshop","866":"tractor","867":"trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi","868":"tray","869":"trench coat","870":"tricycle, trike, velocipede","871":"trimaran","872":"tripod","873":"triumphal arch","874":"trolleybus, trolley coach, trackless trolley","875":"trombone","876":"tub, vat","877":"turnstile","878":"typewriter keyboard","879":"umbrella","880":"unicycle, monocycle","881":"upright, upright piano","882":"vacuum, vacuum cleaner","883":"vase","884":"vault","885":"velvet","886":"vending machine","887":"vestment","888":"viaduct","889":"violin, fiddle","890":"volleyball","891":"waffle iron","892":"wall clock","893":"wallet, billfold, notecase, pocketbook","894":"wardrobe, closet, press","895":"warplane, military plane","896":"washbasin, handbasin, washbowl, lavabo, wash-hand basin","897":"washer, automatic washer, washing machine","898":"water bottle","899":"water jug","900":"water tower","901":"whiskey jug","902":"whistle","903":"wig","904":"window screen","905":"window shade","906":"Windsor tie","907":"wine bottle","908":"wing","909":"wok","910":"wooden spoon","911":"wool, woolen, woollen","912":"worm fence, snake fence, snake-rail fence, Virginia fence","913":"wreck","914":"yawl","915":"yurt","916":"web site, website, internet site, site","917":"comic book","918":"crossword puzzle, crossword","919":"street sign","920":"traffic light, traffic signal, stoplight","921":"book jacket, dust cover, dust 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hub_id: Aniemore/resd
license: ["mit"]
language: ["ru"]
config_name: default
column_names: ["name","path","emotion","speech"]
tags:
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features:
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hub_id: mteb/amazon_counterfactual
license: []
language: ["de","en","ja"]
config_name: ja
column_names: ["text","label","label_text"]
tags:
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features:
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hub_id: ETHZurich/biwi_kinect_head_pose
license: ["other"]
language: ["en"]
config_name: default
column_names: ["sequence_number","subject_id","rgb","rgb_cal","depth","depth_cal","head_pose_gt","head_template"]
tags:
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features:
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hub_id: LTCB/enwik8
license: ["mit"]
language: ["en"]
config_name: enwik8-raw
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
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hub_id: truthfulqa/truthful_qa
license: ["apache-2.0"]
language: ["en"]
config_name: multiple_choice
column_names: ["question","mc1_targets","mc2_targets"]
tags:
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hub_id: google/bigbench
license: ["apache-2.0"]
language: ["en"]
config_name: word_unscrambling
column_names: ["idx","inputs","targets","multiple_choice_targets","multiple_choice_scores"]
tags:
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features:
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hub_id: google/quickdraw
license: ["cc-by-4.0"]
language: ["en"]
config_name: sketch_rnn_full
column_names: ["word","drawing"]
tags:
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hub_id: stanfordnlp/sst2
license: ["unknown"]
language: ["en"]
config_name: default
column_names: ["idx","sentence","label"]
tags:
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features:
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hub_id: thu-coai/lccc
license: ["mit"]
language: ["zh"]
config_name: base
column_names: ["dialog"]
features: [{"name":"dialog","list":"string"}]
tags:
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hub_id: iohadrubin/nq
license: []
language: []
config_name: default
column_names: ["dataset","question","answers","positive_ctxs","negative_ctxs","hard_negative_ctxs"]
tags:
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features:
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hub_id: biglam/cultural_heritage_metadata_accuracy
license: ["cc-by-4.0"]
language: ["it"]
config_name: default
column_names: ["metadata_text","label","source"]
tags:
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features:
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hub_id: biglam/brill_iconclass
license: ["cc0-1.0"]
language: []
config_name: default
column_names: ["image","label"]
features: [{"name":"image","dtype":"image"},{"name":"label","list":"string"}]
tags:
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hub_id: biglam/atypical_animacy
license: ["cc0-1.0"]
language: ["en"]
config_name: default
column_names: ["id","sentence","context","target","animacy","humanness","offsets","date"]
tags:
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features:
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hub_id: TheoMrc/Zebrafish-AChE-Orientation-Classification
license: []
language: []
config_name: default
column_names: ["name","pixel_values","label"]
features:
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hub_id: sileod/wikimedqa
license: ["apache-2.0"]
language: ["en"]
config_name: wikidoc
tags:
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column_names:
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hub_id: colbertv2/lotte_passages
license: ["apache-2.0"]
language: ["en"]
config_name: default
column_names: ["doc_id","author","text"]
tags:
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features:
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hub_id: biglam/old_bailey_proceedings
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
column_names: ["id","text","places","type","persons","date"]
tags:
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features:
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hub_id: Artificio/WikiArt
license: []
language: []
config_name: default
column_names: ["title","artist","date","genre","style","description","filename","image","embeddings_pca512"]
tags:
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features:
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hub_id: gigant/oldbookillustrations
license: ["cc-by-nc-4.0"]
language: ["en","fr","de"]
config_name: default
tags:
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column_names:
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hub_id: graphs-datasets/ZINC
license: ["unknown"]
language: []
config_name: default
column_names: ["node_feat","edge_index","edge_attr","y","num_nodes"]
tags:
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features:
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hub_id: RCC-MSU/collection3
license: ["other"]
language: ["ru"]
config_name: default
column_names: ["id","tokens","ner_tags"]
tags:
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hub_id: climatebert/environmental_claims
license: ["cc-by-nc-sa-4.0"]
language: ["en"]
config_name: default
column_names: ["text","label"]
tags:
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hub_id: open-source-metrics/diffusers-dependents
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["name","stars","forks"]
tags:
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features:
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hub_id: open-source-metrics/optimum-dependents
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["name","stars","forks"]
tags:
["license:apache-2.0","size_categories:n<1K","parquet","image","tabular","text","datasets","pandas","mlcroissant","region:us","github-stars","croissant"]


hub_id: open-source-metrics/datasets-dependents
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["name","stars","forks"]
tags:
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hub_id: pysentimiento/spanish-tweets
license: []
language: ["es"]
config_name: default
column_names: ["text","tweet_id","user_id"]
tags:
["language:es","size_categories:100M<n<1B","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"text","dtype":"string"},{"name":"tweet_id","dtype":"string"},{"name":"user_id","dtype":"string"}]


hub_id: psyche/korean_idioms
license: []
language: ["ko"]
config_name: idioms
column_names: ["question","answer","dialogue"]
tags:
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features:
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hub_id: asapp/slue
license: ["cc0-1.0","cc-by-4.0"]
language: ["en"]
config_name: voxpopuli
tags:
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column_names:
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features:
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hub_id: open-source-metrics/pytorch-image-models-dependents
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["name","stars","forks"]
features: [{"name":"name","dtype":"null"},{"name":"stars","dtype":"null"},{"name":"forks","dtype":"null"}]
tags:
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hub_id: open-source-metrics/issues
license: []
language: []
config_name: default
column_names: ["dates","type"]
tags:
["size_categories:100K<n<1M","parquet","image","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"dates","dtype":"string"},{"name":"type","struct":[{"name":"authorAssociation","dtype":"string"},{"name":"comment","dtype":"bool"},{"name":"issue","dtype":"bool"}]}]


hub_id: Miron/NLP_1
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["Science artilce's texts","text_length","TEXT"]
features:
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hub_id: open-source-metrics/model-repos-stats
license: []
language: []
config_name: default
tags:
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column_names:
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hub_id: nuprl/MultiPL-E
license: ["mit"]
language: ["en"]
config_name: mbpp-ts
column_names: ["name","language","prompt","doctests","original","prompt_terminology","tests","stop_tokens"]
tags:
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features:
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hub_id: jmhessel/newyorker_caption_contest
license: ["cc-by-4.0"]
language: ["en"]
config_name: ranking_from_pixels_4
column_names: ["image","contest_number","caption_choices","winner_source","label","n_tokens_label","instance_id"]
tags:
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features:
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hub_id: DFKI-SLT/multitacred
license: ["other"]
language: ["ar","de","es","fi","fr","hi","hu","ja","pl","ru","tr","zh"]
config_name: retacred-zh
column_names: ["id","token","subj_start","subj_end","subj_type","obj_start","obj_end","obj_type","relation"]
tags:
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hub_id: perrynelson/waxal-wolof
license: ["cc-by-sa-4.0"]
language: []
config_name: default
column_names: ["audio","duration","transcription"]
tags:
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features:
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hub_id: perrynelson/waxal-wolof2
license: []
language: []
config_name: default
column_names: ["audio","duration","transcription"]
tags:
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features:
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hub_id: perrynelson/waxal-pilot-wolof
license: []
language: []
config_name: default
column_names: ["input_values","labels"]
features: [{"name":"input_values","sequence":"float32"},{"name":"labels","sequence":"int64"}]
tags:
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hub_id: arbml/PADIC
license: []
language: []
config_name: default
column_names: ["ALGIERS","ANNABA","MODERN-STANDARD-ARABIC","SYRIAN","PALESTINIAN"]
features:
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hub_id: argilla/gutenberg_spacy-ner
license: []
language: ["en"]
config_name: default
tags:
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column_names:
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hub_id: dougtrajano/olid-br
license: ["cc-by-4.0"]
language: ["pt"]
config_name: default
tags:
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column_names:
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hub_id: rjac/biobert-ner-diseases-dataset
license: []
language: []
config_name: default
column_names: ["tokens","tags","sentence_id"]
features:
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hub_id: salaz055/celeb-identities
license: []
language: []
config_name: default
column_names: ["image","label"]
tags:
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features:
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hub_id: ThankGod/celeb-identities
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
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hub_id: grosenthal/lat_en_loeb
license: []
language: []
config_name: default
column_names: ["id","la","en","file"]
features:
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hub_id: nlhappy/CMeEE
license: []
language: []
config_name: default
column_names: ["text","ents"]
features:
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hub_id: tadeyina/celeb-identities
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
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hub_id: danf0/snli_shortcut_grammar
license: []
language: []
config_name: default
column_names: ["uid","sentence1","sentence2","label","tree"]
features:
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hub_id: danf0/subj_shortcut_grammar
license: []
language: []
config_name: default
column_names: ["uid","sentence","label","tree"]
features:
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hub_id: Kavindu99/celeb-identities
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
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hub_id: bburns/celeb-identities
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
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hub_id: ndxbxrme/audio-diffusion-256-isolated-drums
license: []
language: []
config_name: default
column_names: ["image","audio_file","slice"]
tags:
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features:
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hub_id: alfredodeza/wine-ratings
license: []
language: []
config_name: default
column_names: ["name","region","variety","rating","notes"]
tags:
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features:
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hub_id: arbml/Quran_Hadith
license: []
language: []
config_name: default
column_names: ["SS","SV","Verse1","TS","TV","Verse2","Label"]
features:
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hub_id: arbml/AlRiyadh_Newspaper_Covid
license: []
language: []
config_name: default
column_names:
["Unnamed: 0","ID","Category","Source","Title","Subtitle","Image","Caption","Text","URL","FullText","FullTextCleaned","FullTextWords","WordsCounts","Date","Time","Images","Captions","Terms"]

features:
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hub_id: rick012/celeb-identities
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
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hub_id: arbml/BRAD
license: []
language: []
config_name: default
column_names: ["review_id","book_id","user_id","review","label"]
features:
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hub_id: spktsagar/openslr-nepali-asr-cleaned
tags: ["license:cc-by-sa-4.0","region:us"]
license: ["cc-by-sa-4.0"]
language: []
config_name: cleaned
column_names: ["utterance_id","speaker_id","utterance","transcription","num_frames"]
features:
[{"name":"utterance_id","dtype":"string"},{"name":"speaker_id","dtype":"string"},{"name":"utterance","dtype":{"audio":{"sampling_rate":16000}}},{"name":"transcription","dtype":"string"},{"name":"num_frames","dtype":"int32"}]


hub_id: arbml/OSACT4_hatespeech
license: []
language: []
config_name: default
column_names: ["tweet","offensive","hate"]
features:
[{"name":"tweet","dtype":"string"},{"name":"offensive","dtype":"string"},{"name":"hate","dtype":"string"}]


hub_id: arbml/Sentiment_Lexicons
license: []
language: []
config_name: default
column_names: ["Term","bulkwalter","sentiment_score","positive_occurrence_count","negative_occurrence_count"]
features:
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hub_id: tiagoblima/nilc-school-books
license: ["mit"]
language: []
config_name: default
column_names: ["text_id","text","level"]
tags:
["license:mit","size_categories:10M<n<100M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"text_id","dtype":"int64"},{"name":"text","dtype":"string"},{"name":"level","dtype":"string"}]


hub_id: arbml/Commonsense_Validation
license: []
language: []
config_name: default
column_names: ["id","first_sentence","second_sentence","label"]
features:
[{"name":"id","dtype":"string"},{"name":"first_sentence","dtype":"string"},{"name":"second_sentence","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":0,"1":1}}}}]


hub_id: arbml/arastance
license: []
language: []
config_name: default
column_names: ["filename","claim","claim_url","article","stance","article_title","article_url"]
features:
[{"name":"filename","dtype":"string"},{"name":"claim","dtype":"string"},{"name":"claim_url","dtype":"string"},{"name":"article","dtype":"string"},{"name":"stance","dtype":{"class_label":{"names":{"0":"Discuss","1":"Disagree","2":"Unrelated","3":"Agree"}}}},{"name":"article_title","dtype":"string"},{"name":"article_url","dtype":"string"}]


hub_id: omerist/arabicReviews-ds-mini
license: []
language: []
config_name: default
column_names: ["source","title","content","content_length"]
features:
[{"name":"source","dtype":"string"},{"name":"title","dtype":"string"},{"name":"content","dtype":"string"},{"name":"content_length","dtype":"int64"}]


hub_id: omerist/arab-ds-mini
license: []
language: []
config_name: default
column_names: ["title","review","review_length"]
features:
[{"name":"title","dtype":"string"},{"name":"review","dtype":"string"},{"name":"review_length","dtype":"int64"}]


hub_id: omerist/turknews-mini
license: []
language: []
config_name: default
column_names: ["review","title","review_length"]
features:
[{"name":"review","dtype":"string"},{"name":"title","dtype":"string"},{"name":"review_length","dtype":"int64"}]


hub_id: deman539/celebrity_in_movie_demo
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"output"}}}}]


hub_id: svnfs/depth-of-field
license: ["apache-2.0"]
language: []
config_name: default
column_names: ["image","label"]
tags:
["task_categories:image-classification","task_categories:image-segmentation","annotations_creators:Stavros Niafas","license:apache-2.0","size_categories:1K<n<10K","imagefolder","image","datasets","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"0","1":"1"}}}}]


hub_id: arbml/Iraqi_Dialect
license: []
language: []
config_name: default
column_names: ["No."," Tex","label"]
features:
[{"name":"No.","dtype":"string"},{"name":" Tex","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"False","1":"IDK","2":"N","3":"True"}}}}]


hub_id: arbml/Sudanese_Dialect_Tweet
license: []
language: []
config_name: default
column_names: ["Tweet","Annotator 1","Annotator 2","Annotator 3","Mode","Date"]
features:
[{"name":"Tweet","dtype":"string"},{"name":"Annotator 1","dtype":"string"},{"name":"Annotator 2","dtype":"string"},{"name":"Annotator 3","dtype":"string"},{"name":"Mode","dtype":"string"},{"name":"Date","dtype":"string"}]


hub_id: arbml/Sudanese_Dialect_Tweet_Tele
license: []
language: []
config_name: default
column_names: ["Tweet ID","Tweet Text","Date","label"]
features:
[{"name":"Tweet ID","dtype":"string"},{"name":"Tweet Text","dtype":"string"},{"name":"Date","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"NEGATIVE","1":"POSITIVE","2":"OBJECTIVE"}}}}]


hub_id: arbml/NArabizi
license: []
language: []
config_name: default
column_names: ["ID","label"]
features:
[{"name":"ID","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"NEU","1":"NEG","2":"MIX","3":"POS"}}}}]


hub_id: arbml/ArSAS
license: []
language: []
config_name: default
column_names:
["#Tweet_ID","Tweet_text","Topic","Sentiment_label_confidence","Speech_act_label","Speech_act_label_confidence","label"]

features:
[{"name":"#Tweet_ID","dtype":"string"},{"name":"Tweet_text","dtype":"string"},{"name":"Topic","dtype":"string"},{"name":"Sentiment_label_confidence","dtype":"string"},{"name":"Speech_act_label","dtype":"string"},{"name":"Speech_act_label_confidence","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"Negative","1":"Neutral","2":"Positive","3":"Mixed"}}}}]


hub_id: tiagoblima/punctuation-nilc-t5
license: []
language: []
config_name: default
column_names: ["text_id","text","level","text_input","labels"]
features:
[{"name":"text_id","dtype":"int64"},{"name":"text","dtype":"string"},{"name":"level","dtype":"string"},{"name":"text_input","dtype":"string"},{"name":"labels","dtype":"string"}]


hub_id: tiagoblima/punctuation-nilc-bert
license: []
language: ["pt"]
config_name: default
column_names: ["text_id","text","level","tokens","labels"]
tags:
["language:pt","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"text_id","dtype":"int64"},{"name":"text","dtype":"string"},{"name":"level","dtype":"string"},{"name":"tokens","sequence":"string"},{"name":"labels","sequence":"string"}]


hub_id: vvincentt/lsf_dataset
license: []
language: []
config_name: default
column_names: ["id","title","context","question","answers"]
features:
[{"name":"id","dtype":"string"},{"name":"title","dtype":"string"},{"name":"context","dtype":"string"},{"name":"question","dtype":"string"},{"name":"answers","struct":[{"name":"answer_start","sequence":"int64"},{"name":"text","sequence":"string"}]}]


hub_id: gigant/ted_descriptions
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
column_names: ["url","descr"]
features: [{"name":"url","dtype":"string"},{"name":"descr","dtype":"string"}]
tags:
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hub_id: ashraq/ott-qa-20k
license: []
language: []
config_name: default
column_names: ["url","title","header","data","section_title","section_text","uid","intro"]
features:
[{"name":"url","dtype":"string"},{"name":"title","dtype":"string"},{"name":"header","sequence":"string"},{"name":"data","sequence":{"sequence":"string"}},{"name":"section_title","dtype":"string"},{"name":"section_text","dtype":"string"},{"name":"uid","dtype":"string"},{"name":"intro","dtype":"string"}]


hub_id: truongpdd/laion-2b-vietnamese-subset
license: []
language: []
config_name: default
column_names: ["SAMPLE_ID","URL","TEXT","HEIGHT","WIDTH","LICENSE","LANGUAGE","NSFW","similarity"]
tags:
["size_categories:10B<n<100B","parquet","tabular","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"SAMPLE_ID","dtype":"int64"},{"name":"URL","dtype":"string"},{"name":"TEXT","dtype":"string"},{"name":"HEIGHT","dtype":"int32"},{"name":"WIDTH","dtype":"int32"},{"name":"LICENSE","dtype":"string"},{"name":"LANGUAGE","dtype":"string"},{"name":"NSFW","dtype":"string"},{"name":"similarity","dtype":"float64"}]


hub_id: tglcourse/CelebA-faces-cropped-128
license: []
language: []
config_name: default
column_names: ["image"]
features: [{"name":"image","dtype":"image"}]
tags:
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hub_id: Adapting/abstract-keyphrases
license: ["mit"]
language: []
config_name: default
column_names: ["Abstract","Keywords"]
features: [{"name":"Abstract","dtype":"string"},{"name":"Keywords","dtype":"string"}]
tags:
["license:mit","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: truongpdd/wit_vietnamese_subset
license: []
language: []
config_name: default
tags:
["size_categories:100K<n<1M","parquet","tabular","text","datasets","dask","mlcroissant","region:us","croissant"]

column_names:
["language","page_url","image_url","page_title","section_title","hierarchical_section_title","caption_reference_description","caption_attribution_description","caption_alt_text_description","mime_type","original_height","original_width","is_main_image","attribution_passes_lang_id","page_changed_recently","context_page_description","context_section_description"]

features:
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hub_id: davanstrien/loc_maps
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"datajam"}}}}]


hub_id: Menahem/sv_corpora_parliament_processed
license: []
language: []
config_name: default
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
["size_categories:1M<n<10M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: tglcourse/lsun_church_train
license: []
language: []
config_name: default
column_names: ["image","label"]
tags:
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features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"0","1":"1","2":"2","3":"3","4":"4","5":"5","6":"6","7":"7","8":"8","9":"9","10":"a","11":"b","12":"c","13":"d","14":"e","15":"f"}}}}]


hub_id: helena-balabin/pereira_fMRI_passages
tags: ["size_categories:n<1K","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["language_lh","language_rh","vision_body","vision_face","vision_object","vision_scene","vision","dmn","task","all","paragraphs","topic_indices","permuted_paragraphs"]

features:
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hub_id: helena-balabin/pereira_fMRI_sentences
tags: ["size_categories:n<1K","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["language_lh","language_rh","vision_body","vision_face","vision_object","vision_scene","vision","dmn","task","all","sentences"]

features:
[{"name":"language_lh","sequence":{"sequence":"float64"}},{"name":"language_rh","sequence":{"sequence":"float64"}},{"name":"vision_body","sequence":{"sequence":"float64"}},{"name":"vision_face","sequence":{"sequence":"float64"}},{"name":"vision_object","sequence":{"sequence":"float64"}},{"name":"vision_scene","sequence":{"sequence":"float64"}},{"name":"vision","sequence":{"sequence":"float64"}},{"name":"dmn","sequence":{"sequence":"float64"}},{"name":"task","sequence":{"sequence":"float64"}},{"name":"all","sequence":{"sequence":"float64"}},{"name":"sentences","sequence":"string"}]


hub_id: pcuenq/CelebA-faces-cropped-128-encoded
license: []
language: []
config_name: default
column_names: ["latents"]
features: [{"name":"latents","sequence":"float32"}]
tags:
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hub_id: amanneo/collected-mail-corpus-mini
license: []
language: []
config_name: default
column_names: ["id","email_type","text","mail_length"]
features:
[{"name":"id","dtype":"float64"},{"name":"email_type","dtype":"string"},{"name":"text","dtype":"string"},{"name":"mail_length","dtype":"int64"}]


hub_id: devozs/israeli_soccer_news
license: []
language: []
config_name: default
column_names: ["article_title","article_body","article_body_length"]
features:
[{"name":"article_title","dtype":"string"},{"name":"article_body","dtype":"string"},{"name":"article_body_length","dtype":"int64"}]


hub_id: arbml/Arabic_Hate_Speech
license: []
language: []
config_name: default
column_names: ["id","tweet","is_off","is_hate","is_vlg","is_vio"]
features:
[{"name":"id","dtype":"string"},{"name":"tweet","dtype":"string"},{"name":"is_off","dtype":"string"},{"name":"is_hate","dtype":"string"},{"name":"is_vlg","dtype":"string"},{"name":"is_vio","dtype":"string"}]


hub_id: arbml/DAWQAS
license: []
language: []
config_name: default
column_names:
["QID","Site_id","Question","Answer","Answer1","Answer2","Answer3","Answer4","Answer5","Answer6","Answer7","Answer8","Answer9","Answer10","Answer11","Original_Category","Author","Date","Site","Year"]

features:
[{"name":"QID","dtype":"string"},{"name":"Site_id","dtype":"string"},{"name":"Question","dtype":"string"},{"name":"Answer","dtype":"string"},{"name":"Answer1","dtype":"string"},{"name":"Answer2","dtype":"string"},{"name":"Answer3","dtype":"string"},{"name":"Answer4","dtype":"string"},{"name":"Answer5","dtype":"string"},{"name":"Answer6","dtype":"string"},{"name":"Answer7","dtype":"string"},{"name":"Answer8","dtype":"string"},{"name":"Answer9","dtype":"string"},{"name":"Answer10","dtype":"string"},{"name":"Answer11","dtype":"string"},{"name":"Original_Category","dtype":"string"},{"name":"Author","dtype":"string"},{"name":"Date","dtype":"string"},{"name":"Site","dtype":"string"},{"name":"Year","dtype":"string"}]


hub_id: toloka/WSDMCup2023
license: ["cc-by-4.0"]
language: ["en"]
config_name: wsdmcup2023
column_names: ["image","width","height","left","top","right","bottom","question"]
tags:
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features:
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hub_id: arbml/L_HSAB
license: []
language: []
config_name: default
column_names: ["Tweet","label"]
features:
[{"name":"Tweet","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":null,"1":"abusive","2":"hate","3":"normal"}}}}]


hub_id: arbml/AraFacts
license: []
language: []
config_name: default
column_names:
["ClaimID","claim","description","source","date","source_label","normalized_label","source_category","normalized_category","source_url","claim_urls","evidence_urls","claim_type"]

features:
[{"name":"ClaimID","dtype":"string"},{"name":"claim","dtype":"string"},{"name":"description","dtype":"string"},{"name":"source","dtype":"string"},{"name":"date","dtype":"string"},{"name":"source_label","dtype":"string"},{"name":"normalized_label","dtype":"string"},{"name":"source_category","dtype":"string"},{"name":"normalized_category","dtype":"string"},{"name":"source_url","dtype":"string"},{"name":"claim_urls","dtype":"string"},{"name":"evidence_urls","dtype":"string"},{"name":"claim_type","dtype":"string"}]


hub_id: arbml/BBN_Blog_Posts
license: []
language: []
config_name: default
column_names: ["Arabic_text","ar:manual_sentiment","ar:manual_confidence"]
features:
[{"name":"Arabic_text","dtype":"string"},{"name":"ar:manual_sentiment","dtype":"string"},{"name":"ar:manual_confidence","dtype":"string"}]


hub_id: jafdxc/celeb-identities
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"clarkson","1":"freeman","2":"jackie_chan","3":"jennifer","4":"serena"}}}}]


hub_id: nick-carroll1/lyrics_dataset
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["Artist","Song","Lyrics"]
features:
[{"name":"Artist","dtype":"string"},{"name":"Song","dtype":"string"},{"name":"Lyrics","dtype":"string"}]


hub_id: mfigurski80/processed_narrative_relationship_dataset
license: []
language: []
config_name: default
column_names: ["subject","object","dialogue","pair_examples"]
features:
[{"name":"subject","dtype":"string"},{"name":"object","dtype":"string"},{"name":"dialogue","dtype":"string"},{"name":"pair_examples","dtype":"int64"}]


hub_id: joshtobin/malicious_urls
license: []
language: []
config_name: default
tags:
["size_categories:n<1K","parquet","tabular","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["url_len","abnormal_url","https","digits","letters","shortening_service","ip_address","@","?","-","=",".","#","%","+","$","!","*",",","//"]

features:
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hub_id: jbpark0614/speechocean762_train
license: []
language: []
config_name: default
tags:
["size_categories:1K<n<10K","parquet","audio","text","datasets","pandas","mlcroissant","region:us","croissant"]

column_names:
["index","speaker_id_str","speaker_id","question_id","total_score","accuracy","completeness","fluency","prosodic","text","audio","path"]

features:
[{"name":"index","dtype":"int64"},{"name":"speaker_id_str","dtype":"int64"},{"name":"speaker_id","dtype":"int64"},{"name":"question_id","dtype":"int64"},{"name":"total_score","dtype":"int64"},{"name":"accuracy","dtype":"int64"},{"name":"completeness","dtype":"float64"},{"name":"fluency","dtype":"int64"},{"name":"prosodic","dtype":"int64"},{"name":"text","dtype":"string"},{"name":"audio","dtype":"audio"},{"name":"path","dtype":"string"}]


hub_id: niurl/eraser_cose
license: []
language: []
config_name: default
column_names: ["doc_id","question","query","evidence_span","classification"]
features:
[{"name":"doc_id","dtype":"string"},{"name":"question","sequence":"string"},{"name":"query","dtype":"string"},{"name":"evidence_span","sequence":{"sequence":"int64"}},{"name":"classification","dtype":"string"}]


hub_id: ashraq/financial-news-articles
license: []
language: []
config_name: default
column_names: ["title","text","url"]
features:
[{"name":"title","dtype":"string"},{"name":"text","dtype":"string"},{"name":"url","dtype":"string"}]


hub_id: tomekkorbak/code_search_data-pep8
license: []
language: []
config_name: default
column_names:
["repository_name","func_path_in_repository","func_name","whole_func_string","language","func_code_string","func_code_tokens","func_documentation_string","func_documentation_tokens","split_name","func_code_url","score"]

features:
[{"name":"repository_name","dtype":"string"},{"name":"func_path_in_repository","dtype":"string"},{"name":"func_name","dtype":"string"},{"name":"whole_func_string","dtype":"string"},{"name":"language","dtype":"string"},{"name":"func_code_string","dtype":"string"},{"name":"func_code_tokens","sequence":"string"},{"name":"func_documentation_string","dtype":"string"},{"name":"func_documentation_tokens","sequence":"string"},{"name":"split_name","dtype":"string"},{"name":"func_code_url","dtype":"string"},{"name":"score","dtype":"float64"}]


hub_id: tomekkorbak/codeparrot-pep8-scored
license: []
language: []
config_name: default
tags:
["size_categories:100K<n<1M","parquet","tabular","text","datasets","dask","mlcroissant","region:us","croissant"]

column_names:
["repo_name","path","copies","size","content","license","hash","line_mean","line_max","alpha_frac","autogenerated","ratio","config_test","has_no_keywords","few_assignments","score"]

features:
[{"name":"repo_name","dtype":"string"},{"name":"path","dtype":"string"},{"name":"copies","dtype":"string"},{"name":"size","dtype":"string"},{"name":"content","dtype":"string"},{"name":"license","dtype":"string"},{"name":"hash","dtype":"int64"},{"name":"line_mean","dtype":"float64"},{"name":"line_max","dtype":"int64"},{"name":"alpha_frac","dtype":"float64"},{"name":"autogenerated","dtype":"bool"},{"name":"ratio","dtype":"float64"},{"name":"config_test","dtype":"bool"},{"name":"has_no_keywords","dtype":"bool"},{"name":"few_assignments","dtype":"bool"},{"name":"score","dtype":"float64"}]


hub_id: lipaoMai/github-issues
license: []
language: []
config_name: default
column_names: ["patient_id","drugName","condition","review","rating","date","usefulCount"]
tags:
["size_categories:100K<n<1M","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"patient_id","dtype":"int64"},{"name":"drugName","dtype":"string"},{"name":"condition","dtype":"string"},{"name":"review","dtype":"string"},{"name":"rating","dtype":"float64"},{"name":"date","dtype":"string"},{"name":"usefulCount","dtype":"int64"}]


hub_id: Dialogue-Model-Research-Group/v2ex
tags: ["license:cc","region:us"]
license: ["cc"]
language: []
config_name: replies
column_names: ["id","content","content_rendered","created","member","topic_id"]
features:
[{"name":"id","dtype":"int64"},{"name":"content","dtype":"string"},{"name":"content_rendered","dtype":"string"},{"name":"created","dtype":"int64"},{"name":"member","struct":[{"name":"id","dtype":"int64"},{"name":"username","dtype":"string"},{"name":"bio","dtype":"string"},{"name":"website","dtype":"string"},{"name":"github","dtype":"string"},{"name":"url","dtype":"string"},{"name":"avatar","dtype":"string"},{"name":"created","dtype":"int64"}]},{"name":"topic_id","dtype":"int64"}]


hub_id: juliensimon/food102
license: []
language: []
config_name: default
column_names: ["image","label"]
tags:
["size_categories:100K<n<1M","parquet","image","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"apple_pie","1":"baby_back_ribs","2":"baklava","3":"beef_carpaccio","4":"beef_tartare","5":"beet_salad","6":"beignets","7":"bibimbap","8":"boeuf_bourguignon","9":"bread_pudding","10":"breakfast_burrito","11":"bruschetta","12":"caesar_salad","13":"cannoli","14":"caprese_salad","15":"carrot_cake","16":"ceviche","17":"cheese_plate","18":"cheesecake","19":"chicken_curry","20":"chicken_quesadilla","21":"chicken_wings","22":"chocolate_cake","23":"chocolate_mousse","24":"churros","25":"clam_chowder","26":"club_sandwich","27":"crab_cakes","28":"creme_brulee","29":"croque_madame","30":"cup_cakes","31":"deviled_eggs","32":"donuts","33":"dumplings","34":"edamame","35":"eggs_benedict","36":"escargots","37":"falafel","38":"filet_mignon","39":"fish_and_chips","40":"foie_gras","41":"french_fries","42":"french_onion_soup","43":"french_toast","44":"fried_calamari","45":"fried_rice","46":"frozen_yogurt","47":"garlic_bread","48":"gnocchi","49":"greek_salad","50":"grilled_cheese_sandwich","51":"grilled_salmon","52":"guacamole","53":"gyoza","54":"hamburger","55":"hot_and_sour_soup","56":"hot_dog","57":"huevos_rancheros","58":"hummus","59":"ice_cream","60":"lasagna","61":"lobster_bisque","62":"lobster_roll_sandwich","63":"macaroni_and_cheese","64":"macarons","65":"miso_soup","66":"mussels","67":"nachos","68":"omelette","69":"onion_rings","70":"oysters","71":"pad_thai","72":"paella","73":"pancakes","74":"panna_cotta","75":"peking_duck","76":"pho","77":"pizza","78":"pork_chop","79":"poutine","80":"prime_rib","81":"pulled_pork_sandwich","82":"ramen","83":"ravioli","84":"red_velvet_cake","85":"risotto","86":"samosa","87":"sashimi","88":"scallops","89":"seaweed_salad","90":"shrimp_and_grits","91":"spaghetti_bolognese","92":"spaghetti_carbonara","93":"spring_rolls","94":"steak","95":"strawberry_shortcake","96":"sushi","97":"tacos","98":"takoyaki","99":"tiramisu","100":"tuna_tartare","101":"waffles"}}}}]


hub_id: kejian/codeparrot-valid-more-filtering-debug
license: []
language: []
config_name: default
column_names:
["repo_name","path","copies","size","content","license","hash","line_mean","line_max","alpha_frac","autogenerated","ratio","config_test","has_no_keywords","few_assignments"]

features:
[{"name":"repo_name","dtype":"string"},{"name":"path","dtype":"string"},{"name":"copies","dtype":"string"},{"name":"size","dtype":"string"},{"name":"content","dtype":"string"},{"name":"license","dtype":"string"},{"name":"hash","dtype":"int64"},{"name":"line_mean","dtype":"float64"},{"name":"line_max","dtype":"int64"},{"name":"alpha_frac","dtype":"float64"},{"name":"autogenerated","dtype":"bool"},{"name":"ratio","dtype":"float64"},{"name":"config_test","dtype":"bool"},{"name":"has_no_keywords","dtype":"bool"},{"name":"few_assignments","dtype":"bool"}]


hub_id: biglam/v4design_europeana_style_dataset
license: ["other"]
language: []
config_name: default
column_names: ["id","url","uri","style","rights","image"]
tags:
["task_categories:image-classification","annotations_creators:expert-generated","license:other","size_categories:1K<n<10K","parquet","image","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"id","dtype":"string"},{"name":"url","dtype":"string"},{"name":"uri","dtype":"string"},{"name":"style","dtype":{"class_label":{"names":{"0":"Rococo","1":"Baroque","2":"Other"}}}},{"name":"rights","dtype":"string"},{"name":"image","dtype":"image"}]


hub_id: biglam/early_printed_books_font_detection
license: ["cc-by-nc-sa-4.0"]
language: []
config_name: default
column_names: ["image","labels"]
tags:
["task_categories:image-classification","task_ids:multi-label-image-classification","annotations_creators:expert-generated","license:cc-by-nc-sa-4.0","size_categories:10K<n<100K","region:us"]

features:
[{"name":"image","dtype":"image"},{"name":"labels","sequence":{"class_label":{"names":{"0":"greek","1":"antiqua","2":"other_font","3":"not_a_font","4":"italic","5":"rotunda","6":"textura","7":"fraktur","8":"schwabacher","9":"hebrew","10":"bastarda","11":"gotico_antiqua"}}}}]


hub_id: ashraq/hotel-reviews
license: []
language: []
config_name: default
column_names: ["review_date","hotel_name","review"]
tags:
["size_categories:10M<n<100M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"review_date","dtype":"string"},{"name":"hotel_name","dtype":"string"},{"name":"review","dtype":"string"}]


hub_id: hasanriaz121/reqs
license: []
language: []
config_name: default
column_names: ["Unnamed: 0","requirement_txt","EF","PE","PO","RE","SE","US","X"]
features:
[{"name":"Unnamed: 0","dtype":"int64"},{"name":"requirement_txt","dtype":"string"},{"name":"EF","dtype":"int64"},{"name":"PE","dtype":"int64"},{"name":"PO","dtype":"int64"},{"name":"RE","dtype":"int64"},{"name":"SE","dtype":"int64"},{"name":"US","dtype":"int64"},{"name":"X","dtype":"int64"}]


hub_id: biglam/early_printed_books_font_detection_loaded
license: []
language: []
config_name: default
column_names: ["image","labels"]
tags:
["size_categories:1K<n<10K","parquet","image","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"labels","sequence":{"class_label":{"names":{"0":"greek","1":"antiqua","2":"other_font","3":"not_a_font","4":"italic","5":"rotunda","6":"textura","7":"fraktur","8":"schwabacher","9":"hebrew","10":"bastarda","11":"gotico_antiqua"}}}}]


hub_id: vicm0r/eurosat
license: []
language: []
config_name: default
column_names: ["image","label"]
tags:
["size_categories:10K<n<100K","parquet","image","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"AnnualCrop","1":"Forest","2":"HerbaceousVegetation","3":"Highway","4":"Industrial","5":"Pasture","6":"PermanentCrop","7":"Residential","8":"River","9":"SeaLake"}}}}]


hub_id: mattymchen/synli
license: ["odc-by"]
language: []
config_name: default
column_names: ["sent0","sent1","hard_neg"]
tags:
["license:odc-by","size_categories:10M<n<100M","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"sent0","dtype":"string"},{"name":"sent1","dtype":"string"},{"name":"hard_neg","dtype":"string"}]


hub_id: tglcourse/latent_lsun_church_256px
tags: ["size_categories:100K<n<1M","parquet","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["label","latent"]
features:
[{"name":"label","dtype":{"class_label":{"names":{"0":"0","1":"1","2":"2","3":"3","4":"4","5":"5","6":"6","7":"7","8":"8","9":"9","10":"a","11":"b","12":"c","13":"d","14":"e","15":"f"}}}},{"name":"latent","sequence":{"sequence":{"sequence":"float32"}}}]


hub_id: davanstrien/maps_test
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["image_id","label","image"]
features:
[{"name":"image_id","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"no-building-or-railspace","1":"railspace","2":"building","3":"railspace-and-non-railspace-building"}}}},{"name":"image","dtype":"image"}]


hub_id: tglcourse/latent_afhqv2_256px
tags: ["size_categories:10K<n<100K","parquet","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["label","latent"]
features:
[{"name":"label","dtype":{"class_label":{"names":{"0":"cat","1":"dog","2":"wild"}}}},{"name":"latent","sequence":{"sequence":{"sequence":"float32"}}}]


hub_id: davanstrien/maps_nls
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["image","label","map_sheet"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"no building or railspace","1":"railspace","2":"building","3":"railspace and non railspace building"}}}},{"name":"map_sheet","dtype":"string"}]


hub_id: kanak8278/focus_test
license: []
language: []
config_name: default
column_names:
["dialogID","utterance","query","hit_knowledge","ground_knowledge","ground_persona","similarity_score","persona1","persona2","persona3","persona4","persona5","persona_grounding1","persona_grounding2","persona_grounding3","persona_grounding4","persona_grounding5","__index_level_0__"]

features:
[{"name":"dialogID","dtype":"string"},{"name":"utterance","dtype":"int64"},{"name":"query","dtype":"string"},{"name":"hit_knowledge","dtype":"string"},{"name":"ground_knowledge","dtype":"string"},{"name":"ground_persona","dtype":"string"},{"name":"similarity_score","dtype":"float64"},{"name":"persona1","dtype":"string"},{"name":"persona2","dtype":"string"},{"name":"persona3","dtype":"string"},{"name":"persona4","dtype":"string"},{"name":"persona5","dtype":"string"},{"name":"persona_grounding1","dtype":"bool"},{"name":"persona_grounding2","dtype":"bool"},{"name":"persona_grounding3","dtype":"bool"},{"name":"persona_grounding4","dtype":"bool"},{"name":"persona_grounding5","dtype":"bool"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: arvindrajan92/sroie_document_understanding
license: ["mit"]
language: []
config_name: default
column_names: ["image","ocr"]
tags:
["license:mit","size_categories:n<1K","parquet","image","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"ocr","list":[{"name":"box","sequence":{"sequence":"float64"}},{"name":"label","dtype":"string"},{"name":"text","dtype":"string"}]}]


hub_id: PartiallyTyped/answerable_tydiqa_raw
license: []
language: []
config_name: default
column_names: ["question","language","golds","context","seq_id"]
features:
[{"name":"question","dtype":"string"},{"name":"language","dtype":"string"},{"name":"golds","struct":[{"name":"answer_start","sequence":"int64"},{"name":"answer_text","sequence":"string"}]},{"name":"context","dtype":"string"},{"name":"seq_id","dtype":"string"}]


hub_id: PartiallyTyped/answerable_tydiqa_raw_split
license: []
language: []
config_name: default
column_names: ["question","language","context","seq_id","golds"]
features:
[{"name":"question","dtype":"string"},{"name":"language","dtype":"string"},{"name":"context","dtype":"string"},{"name":"seq_id","dtype":"string"},{"name":"golds","struct":[{"name":"answer_start","sequence":"int64"},{"name":"answer_text","sequence":"string"}]}]


hub_id: corentinm7/MyoQuant-SDH-Data
license: ["agpl-3.0"]
language: []
config_name: SDH_16k
column_names: ["image","label"]
tags:
["task_categories:image-classification","annotations_creators:expert-generated","language_creators:expert-generated","source_datasets:original","license:agpl-3.0","size_categories:10K<n<100K","region:us","myology","biology","histology","muscle","cells","fibers","myopathy","SDH","myoquant"]

features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"control","1":"sick"}}}}]


hub_id: dominguesm/positive-reframing-ptbr-dataset
license: []
language: []
config_name: default
column_names: ["original_text","reframed_text","strategy","strategy_original_text"]
tags:
["size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","arxiv:2204.02952","region:us","croissant"]

features:
[{"name":"original_text","dtype":"string"},{"name":"reframed_text","dtype":"string"},{"name":"strategy","dtype":"string"},{"name":"strategy_original_text","dtype":"string"}]


hub_id: Dizex/FoodBase
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["nltk_tokens","iob_tags","input_ids","token_type_ids","attention_mask","labels"]
features:
[{"name":"nltk_tokens","sequence":"string"},{"name":"iob_tags","sequence":"string"},{"name":"input_ids","sequence":"int32"},{"name":"token_type_ids","sequence":"int8"},{"name":"attention_mask","sequence":"int8"},{"name":"labels","sequence":"int64"}]


hub_id: Norod78/cartoon-blip-captions
license: ["cc-by-nc-sa-4.0"]
language: ["en"]
config_name: default
column_names: ["image","text"]
features: [{"name":"image","dtype":"image"},{"name":"text","dtype":"string"}]
tags:
["task_categories:text-to-image","annotations_creators:machine-generated","language_creators:other","multilinguality:monolingual","language:en","license:cc-by-nc-sa-4.0","size_categories:1K<n<10K","parquet","image","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: Mostafa3zazi/Arabic_SQuAD
license: []
language: []
config_name: default
column_names: ["index","question","context","text","answer_start","c_id"]
features:
[{"name":"index","dtype":"string"},{"name":"question","dtype":"string"},{"name":"context","dtype":"string"},{"name":"text","dtype":"string"},{"name":"answer_start","dtype":"int64"},{"name":"c_id","dtype":"int64"}]


hub_id: ashraq/fashion-product-images-small
license: []
language: []
config_name: default
tags:
["size_categories:10K<n<100K","parquet","image","text","datasets","dask","mlcroissant","region:us","croissant"]

column_names:
["id","gender","masterCategory","subCategory","articleType","baseColour","season","year","usage","productDisplayName","image"]

features:
[{"name":"id","dtype":"int64"},{"name":"gender","dtype":"string"},{"name":"masterCategory","dtype":"string"},{"name":"subCategory","dtype":"string"},{"name":"articleType","dtype":"string"},{"name":"baseColour","dtype":"string"},{"name":"season","dtype":"string"},{"name":"year","dtype":"float64"},{"name":"usage","dtype":"string"},{"name":"productDisplayName","dtype":"string"},{"name":"image","dtype":"image"}]


hub_id: henryscheible/crows_pairs
tags: ["size_categories:1K<n<10K","parquet","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["label","input_ids","token_type_ids","attention_mask"]
features:
[{"name":"label","dtype":"int64"},{"name":"input_ids","sequence":"int32"},{"name":"token_type_ids","sequence":"int8"},{"name":"attention_mask","sequence":"int8"}]


hub_id: dhmeltzer/goodreads_test
license: []
language: []
config_name: default
column_names: ["review_text","input_ids","attention_mask"]
features:
[{"name":"review_text","dtype":"string"},{"name":"input_ids","sequence":"int32"},{"name":"attention_mask","sequence":"int8"}]


hub_id: dhmeltzer/goodreads_train
license: []
language: []
config_name: default
column_names: ["rating","review_text","input_ids","attention_mask"]
features:
[{"name":"rating","dtype":"int64"},{"name":"review_text","dtype":"string"},{"name":"input_ids","sequence":"int32"},{"name":"attention_mask","sequence":"int8"}]


hub_id: lewtun/music_genres
license: []
language: []
config_name: default
column_names: ["audio","song_id","genre_id","genre"]
tags:
["size_categories:10K<n<100K","parquet","audio","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"audio","dtype":"audio"},{"name":"song_id","dtype":"int64"},{"name":"genre_id","dtype":"int64"},{"name":"genre","dtype":"string"}]


hub_id: ghomasHudson/muld_OpenSubtitles
license: []
language: []
config_name: default
column_names: ["input","output","metadata"]
features:
[{"name":"input","dtype":"string"},{"name":"output","dtype":"string"},{"name":"metadata","dtype":"string"}]


hub_id: ghomasHudson/muld_AO3_Style_Change_Detection
license: []
language: []
config_name: default
column_names: ["input","output","metadata"]
tags:
["size_categories:1K<n<10K","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"input","dtype":"string"},{"name":"output","dtype":"string"},{"name":"metadata","dtype":"string"}]


hub_id: frankier/processed_multiscale_rt_critics
license: []
language: []
config_name: default
column_names:
["movie_title","publisher_name","critic_name","review_content","review_score","grade_type","orig_num","orig_denom","includes_zero","label","scale_points","multiplier","group_id"]

features:
[{"name":"movie_title","dtype":"string"},{"name":"publisher_name","dtype":"string"},{"name":"critic_name","dtype":"string"},{"name":"review_content","dtype":"string"},{"name":"review_score","dtype":"string"},{"name":"grade_type","dtype":"string"},{"name":"orig_num","dtype":"float32"},{"name":"orig_denom","dtype":"float32"},{"name":"includes_zero","dtype":"bool"},{"name":"label","dtype":"uint8"},{"name":"scale_points","dtype":"uint8"},{"name":"multiplier","dtype":"uint8"},{"name":"group_id","dtype":"uint32"}]


hub_id: GEM/TaTA
license: ["cc-by-sa-4.0"]
language: ["ar","en","fr","ha","ig","pt","ru","sw","yo"]
config_name: default
tags:
["task_categories:table-to-text","annotations_creators:none","language_creators:unknown","multilinguality:yes","source_datasets:original","language:ar","language:en","language:fr","language:ha","language:ig","language:pt","language:ru","language:sw","language:yo","license:cc-by-sa-4.0","size_categories:1K<n<10K","text","datasets","mlcroissant","arxiv:2211.00142","arxiv:2112.12870","region:us","data-to-text","croissant"]

column_names:
["gem_id","example_id","title","unit_of_measure","chart_type","was_translated","table_data","linearized_input","table_text","target"]

features:
[{"name":"gem_id","dtype":"string"},{"name":"example_id","dtype":"string"},{"name":"title","dtype":"string"},{"name":"unit_of_measure","dtype":"string"},{"name":"chart_type","dtype":"string"},{"name":"was_translated","dtype":"string"},{"name":"table_data","dtype":"string"},{"name":"linearized_input","dtype":"string"},{"name":"table_text","sequence":"string"},{"name":"target","dtype":"string"}]


hub_id: connorhoehn/card_display_v1
license: []
language: ["en"]
config_name: display-detection
column_names: ["image_id","image","width","height","objects"]
tags:
["language:en","size_categories:n<1K","image","text","datasets","mlcroissant","region:us","croissant"]

features:
[{"name":"image_id","dtype":"int64"},{"name":"image","dtype":"image"},{"name":"width","dtype":"int32"},{"name":"height","dtype":"int32"},{"name":"objects","list":[{"name":"category_id","dtype":{"class_label":{"names":{"0":"boxed","1":"grid","2":"spread","3":"stack"}}}},{"name":"image_id","dtype":"string"},{"name":"id","dtype":"int64"},{"name":"area","dtype":"int64"},{"name":"bbox","sequence":"float32","length":4},{"name":"iscrowd","dtype":"bool"}]}]


hub_id: popaqy/my_dataset
license: []
language: []
config_name: default
column_names: ["bg","en","bg_wrong","__index_level_0__"]
features:
[{"name":"bg","dtype":"string"},{"name":"en","dtype":"string"},{"name":"bg_wrong","dtype":"string"},{"name":"__index_level_0__","dtype":"int64"}]


hub_id: stauntonjr/dtic_sent
license: []
language: []
config_name: default
column_names:
["Accession Number","Title","Descriptive Note","Corporate Author","Personal Author(s)","Report Date","Pagination or Media Count","Descriptors","Subject Categories","Distribution Statement","fulltext","cleantext","sents"]

features:
[{"name":"Accession Number","dtype":"string"},{"name":"Title","dtype":"string"},{"name":"Descriptive Note","dtype":"string"},{"name":"Corporate Author","dtype":"string"},{"name":"Personal Author(s)","sequence":"string"},{"name":"Report Date","dtype":"string"},{"name":"Pagination or Media Count","dtype":"string"},{"name":"Descriptors","sequence":"string"},{"name":"Subject Categories","dtype":"string"},{"name":"Distribution Statement","dtype":"string"},{"name":"fulltext","dtype":"string"},{"name":"cleantext","dtype":"string"},{"name":"sents","sequence":"string"}]


hub_id: PartiallyTyped/answerable_tydiqa
license: []
language: []
config_name: default
column_names: ["question_text","document_title","language","annotations","document_plaintext","document_url"]
features:
[{"name":"question_text","dtype":"string"},{"name":"document_title","dtype":"string"},{"name":"language","dtype":"string"},{"name":"annotations","struct":[{"name":"answer_start","sequence":"int64"},{"name":"answer_text","sequence":"string"}]},{"name":"document_plaintext","dtype":"string"},{"name":"document_url","dtype":"string"}]


hub_id: PartiallyTyped/answerable_tydiqa_restructured
license: []
language: []
config_name: default
column_names: ["language","question","context","references","id"]
features:
[{"name":"language","dtype":"string"},{"name":"question","dtype":"string"},{"name":"context","dtype":"string"},{"name":"references","struct":[{"name":"answers","struct":[{"name":"answer_start","sequence":"int64"},{"name":"text","sequence":"string"}]},{"name":"id","dtype":"string"}]},{"name":"id","dtype":"string"}]


hub_id: PartiallyTyped/answerable_tydiqa_tokenized
license: []
language: []
config_name: default
column_names: ["language","question","context","references","id","labels"]
features:
[{"name":"language","dtype":"string"},{"name":"question","sequence":"string"},{"name":"context","sequence":"string"},{"name":"references","struct":[{"name":"answers","struct":[{"name":"answer_start","sequence":"int64"},{"name":"text","sequence":"string"}]},{"name":"id","dtype":"string"}]},{"name":"id","dtype":"string"},{"name":"labels","dtype":"bool"}]


hub_id: rjac/icd10-reference-cm
license: []
language: []
config_name: default
column_names: ["text","icd10_tc_category","icd10_tc_category_group"]
features:
[{"name":"text","dtype":"string"},{"name":"icd10_tc_category","dtype":"string"},{"name":"icd10_tc_category_group","dtype":"string"}]


hub_id: arbml/dummy
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["name","age","label"]
features:
[{"name":"name","dtype":"string"},{"name":"age","dtype":"string"},{"name":"label","dtype":{"class_label":{"names":{"0":"female","1":"male"}}}}]


hub_id: svjack/diffusiondb_random_10k
license: []
language: []
config_name: default
column_names: ["image","prompt","seed","step","cfg","sampler"]
features:
[{"name":"image","dtype":"image"},{"name":"prompt","dtype":"string"},{"name":"seed","dtype":"int64"},{"name":"step","dtype":"int64"},{"name":"cfg","dtype":"float32"},{"name":"sampler","dtype":"string"}]


hub_id: JoBeer/eclassCorpus
license: []
language: []
config_name: default
column_names: ["did","query","name","datatype","unit","IRDI","metalabel"]
features:
[{"name":"did","dtype":"int64"},{"name":"query","dtype":"string"},{"name":"name","dtype":"string"},{"name":"datatype","dtype":"string"},{"name":"unit","dtype":"string"},{"name":"IRDI","dtype":"string"},{"name":"metalabel","dtype":"int64"}]


hub_id: JoBeer/eclassQuery
license: []
language: ["en"]
config_name: default
column_names: ["did","query","name","duplicate_id","metalabel"]
tags:
["task_categories:sentence-similarity","language:en","size_categories:1K<n<10K","parquet","tabular","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"did","dtype":"int64"},{"name":"query","dtype":"string"},{"name":"name","dtype":"string"},{"name":"duplicate_id","dtype":"int64"},{"name":"metalabel","dtype":"int64"}]


hub_id: svjack/diffusiondb_random_10k_zh_v1
license: []
language: ["en","zh"]
config_name: default
column_names: ["image","prompt","seed","step","cfg","sampler","zh_prompt"]
tags:
["annotations_creators:machine-generated","language_creators:other","multilinguality:multilingual","language:en","language:zh","size_categories:1K<n<10K","parquet","image","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"prompt","dtype":"string"},{"name":"seed","dtype":"int64"},{"name":"step","dtype":"int64"},{"name":"cfg","dtype":"float32"},{"name":"sampler","dtype":"string"},{"name":"zh_prompt","dtype":"string"}]


hub_id: galman33/gal_yair_8300_1664x832
license: []
language: []
config_name: default
column_names: ["lat","lon","country_code","image"]
tags:
["size_categories:1K<n<10K","parquet","image","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"lat","dtype":"float64"},{"name":"lon","dtype":"float64"},{"name":"country_code","dtype":"string"},{"name":"image","dtype":"image"}]


hub_id: NeelNanda/counterfact-tracing
license: []
language: []
config_name: default
tags:
["size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","arxiv:2211.00593","region:us","croissant"]

column_names:
["relation","relation_prefix","relation_suffix","prompt","relation_id","target_false_id","target_true_id","target_true","target_false","subject"]

features:
[{"name":"relation","dtype":"string"},{"name":"relation_prefix","dtype":"string"},{"name":"relation_suffix","dtype":"string"},{"name":"prompt","dtype":"string"},{"name":"relation_id","dtype":"string"},{"name":"target_false_id","dtype":"string"},{"name":"target_true_id","dtype":"string"},{"name":"target_true","dtype":"string"},{"name":"target_false","dtype":"string"},{"name":"subject","dtype":"string"}]


hub_id: qanastek/Biosses-BLUE
license: ["gpl-3.0"]
language: ["en"]
config_name: default
column_names: ["sentence1","sentence2","score"]
tags:
["task_categories:text-classification","task_ids:text-scoring","task_ids:semantic-similarity-scoring","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:gpl-3.0","size_categories:n<1K","text","datasets","mlcroissant","region:us","croissant"]

features:
[{"name":"sentence1","dtype":"string"},{"name":"sentence2","dtype":"string"},{"name":"score","dtype":"float32"}]


hub_id: nielsr/ade20k-panoptic-demo
license: []
language: []
config_name: default
column_names: ["image","label","segments_info"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":"image"},{"name":"segments_info","list":[{"name":"area","dtype":"int64"},{"name":"bbox","sequence":"int64"},{"name":"category_id","dtype":"int64"},{"name":"id","dtype":"int64"},{"name":"iscrowd","dtype":"int64"}]}]


hub_id: VietAI/vi_pubmed
license: ["cc"]
language: ["vi","en"]
config_name: default
column_names: ["en","vi"]
features: [{"name":"en","dtype":"string"},{"name":"vi","dtype":"string"}]
tags:
["task_categories:text-generation","task_categories:fill-mask","task_ids:language-modeling","task_ids:masked-language-modeling","language:vi","language:en","license:cc","size_categories:10M<n<100M","parquet","text","datasets","dask","mlcroissant","arxiv:2210.05610","arxiv:2210.05598","region:us","croissant"]


hub_id: jpwahle/machine-paraphrase-dataset
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
column_names: []
features: []
tags:
["task_categories:text-classification","task_categories:text-generation","annotations_creators:machine-generated","language_creators:machine-generated","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-4.0","size_categories:100K<n<1M","csv","text","datasets","pandas","mlcroissant","region:us","spinbot","spinnerchief","plagiarism","paraphrase","academic integrity","arxiv","wikipedia","theses","croissant"]


hub_id: jpwahle/autoencoder-paraphrase-dataset
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
column_names: []
features: []
tags:
["task_categories:text-classification","task_categories:text-generation","annotations_creators:machine-generated","language_creators:machine-generated","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-4.0","size_categories:1M<n<10M","csv","tabular","text","datasets","pandas","mlcroissant","region:us","bert","roberta","longformer","plagiarism","paraphrase","academic integrity","arxiv","wikipedia","theses","croissant"]


hub_id: jpwahle/dblp-discovery-dataset
license: ["cc-by-4.0"]
language: ["en"]
config_name: authors
column_names: []
features: []
tags:
["task_categories:other","annotations_creators:found","language_creators:found","multilinguality:monolingual","source_datasets:extended|s2orc","language:en","license:cc-by-4.0","size_categories:1M<n<10M","region:us","dblp","s2","scientometrics","computer science","papers","arxiv"]


hub_id: Norod78/simpsons-blip-captions
license: ["cc-by-nc-sa-4.0"]
language: ["en"]
config_name: default
column_names: ["image","text"]
features: [{"name":"image","dtype":"image"},{"name":"text","dtype":"string"}]
tags:
["task_categories:text-to-image","annotations_creators:machine-generated","language_creators:other","multilinguality:monolingual","language:en","license:cc-by-nc-sa-4.0","size_categories:n<1K","parquet","image","text","datasets","pandas","mlcroissant","region:us","croissant"]


hub_id: sanagnos/processed_bert_dataset
tags: ["size_categories:1M<n<10M","parquet","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["input_ids","token_type_ids","attention_mask","special_tokens_mask"]
features:
[{"name":"input_ids","sequence":"int32"},{"name":"token_type_ids","sequence":"int8"},{"name":"attention_mask","sequence":"int8"},{"name":"special_tokens_mask","sequence":"int8"}]


hub_id: maloyan/vqgan1024_reconstruction
license: []
language: []
config_name: default
column_names: ["image_512","image_256","reconstruction_256"]
features:
[{"name":"image_512","dtype":"image"},{"name":"image_256","dtype":"image"},{"name":"reconstruction_256","dtype":"image"}]


hub_id: Dizex/InstaFoodSet
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["tokens","iob_tags","iob_tags_ids"]
features:
[{"name":"tokens","sequence":"string"},{"name":"iob_tags","sequence":"string"},{"name":"iob_tags_ids","sequence":"int64"}]


hub_id: ThankGod/vlpr-dataset
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["image_id","image","width","height","objects"]
features:
[{"name":"image_id","dtype":"int64"},{"name":"image","dtype":"image"},{"name":"width","dtype":"int64"},{"name":"height","dtype":"int64"},{"name":"objects","sequence":[{"name":"bbox_id","dtype":"int64"},{"name":"category","dtype":{"class_label":{"names":{"0":"license_plate"}}}},{"name":"bbox","sequence":"float64","length":4},{"name":"area","dtype":"float64"}]}]


hub_id: popaqy/europarl-bg-en
license: []
language: []
config_name: default
column_names: ["bg","en","sentence_len","clear"]
features:
[{"name":"bg","dtype":"string"},{"name":"en","dtype":"string"},{"name":"sentence_len","dtype":"int64"},{"name":"clear","dtype":"bool"}]


hub_id: amir7d0/laion2B-fa-images
license: []
language: []
config_name: default
column_names: ["SAMPLE_ID","TEXT","URL","IMAGE_PATH","IMAGE"]
tags:
["size_categories:1K<n<10K","parquet","image","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"SAMPLE_ID","dtype":"int64"},{"name":"TEXT","dtype":"string"},{"name":"URL","dtype":"string"},{"name":"IMAGE_PATH","dtype":"string"},{"name":"IMAGE","dtype":"image"}]


hub_id: Nma/lm_resume_dataset
tags: ["size_categories:100K<n<1M","parquet","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["input_ids","attention_mask","labels"]
features:
[{"name":"input_ids","sequence":"int32"},{"name":"attention_mask","sequence":"int8"},{"name":"labels","sequence":"int64"}]


hub_id: PGT/artificial-unbalanced-500K
tags: ["size_categories:100K<n<1M","parquet","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["edge_index","y","num_nodes"]
features:
[{"name":"edge_index","sequence":{"sequence":"int64"}},{"name":"y","sequence":"int64"},{"name":"num_nodes","dtype":"int64"}]


hub_id: jage/dataset_from_synthea_for_NER_with_train_val_test_splits
license: []
language: []
config_name: default
column_names: ["id","tokens","ner_tags","input_ids","token_type_ids","attention_mask","labels"]
features:
[{"name":"id","dtype":"string"},{"name":"tokens","sequence":"string"},{"name":"ner_tags","sequence":{"class_label":{"names":{"0":"O","1":"B-DATE","2":"I-DATE","3":"B-NAME","4":"I-NAME","5":"B-AGE","6":"I-AGE"}}}},{"name":"input_ids","sequence":"int32"},{"name":"token_type_ids","sequence":"int8"},{"name":"attention_mask","sequence":"int8"},{"name":"labels","sequence":"int64"}]


hub_id: wesleywt/zhou_ebola_human
license: []
language: []
config_name: default
column_names: ["is_interaction","protein_1.id","protein_1.primary","protein_2.id","protein_2.primary"]
features:
[{"name":"is_interaction","dtype":"int64"},{"name":"protein_1.id","dtype":"string"},{"name":"protein_1.primary","dtype":"string"},{"name":"protein_2.id","dtype":"string"},{"name":"protein_2.primary","dtype":"string"}]


hub_id: Short-Answer-Feedback/saf_legal_domain_german
license: ["cc-by-4.0"]
language: ["de"]
config_name: default
tags:
["task_categories:text2text-generation","annotations_creators:expert-generated","language_creators:other","multilinguality:monolingual","source_datasets:original","language:de","license:cc-by-4.0","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","short answer feedback","legal domain","croissant"]

column_names:
["id","question","reference_answer","provided_answer","answer_feedback","verification_feedback","error_class","score"]

features:
[{"name":"id","dtype":"string"},{"name":"question","dtype":"string"},{"name":"reference_answer","dtype":"string"},{"name":"provided_answer","dtype":"string"},{"name":"answer_feedback","dtype":"string"},{"name":"verification_feedback","dtype":"string"},{"name":"error_class","dtype":"string"},{"name":"score","dtype":"float64"}]


hub_id: davanstrien/hugitnovtest
tags: ["region:us"]
license: []
language: []
config_name: default
column_names: ["image","label","fpath"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"EDGE + SPINE","1":"OTHER","2":"PAGE + FOLIO","3":"SCROLL"}}}},{"name":"fpath","dtype":"string"}]


hub_id: andreotte/multi-label-classification-test
license: []
language: []
config_name: default
column_names: ["label","pixel_values"]
tags:
["size_categories:1K<n<10K","parquet","image","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"label","dtype":{"class_label":{"names":{"0":"Door","1":"Eaves","2":"Gutter","3":"Vegetation","4":"Vent","5":"Window"}}}},{"name":"pixel_values","dtype":"image"}]


hub_id: loubnabnl/dummy_data_clean
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["content","language","license","path","annotation_id","pii","pii_modified"]
features:
[{"name":"content","dtype":"string"},{"name":"language","dtype":"string"},{"name":"license","dtype":"string"},{"name":"path","dtype":"string"},{"name":"annotation_id","dtype":"string"},{"name":"pii","dtype":"string"},{"name":"pii_modified","dtype":"string"}]


hub_id: muhammadbilal5110/indian_food_images
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"burger","1":"butter_naan","2":"chai","3":"chapati","4":"chole_bhature","5":"dal_makhani","6":"dhokla","7":"fried_rice","8":"idli","9":"jalebi","10":"kaathi_rolls","11":"kadai_paneer","12":"kulfi","13":"masala_dosa","14":"momos","15":"paani_puri","16":"pakode","17":"pav_bhaji","18":"pizza","19":"samosa"}}}}]


hub_id: pszemraj/text2image-multi-prompt
license: ["apache-2.0"]
language: ["en"]
config_name: original
column_names: ["text","src_dataset"]
features: [{"name":"text","dtype":"string"},{"name":"src_dataset","dtype":"string"}]
tags:
["task_categories:text-generation","task_categories:feature-extraction","multilinguality:monolingual","source_datasets:bartman081523/stable-diffusion-discord-prompts","source_datasets:succinctly/midjourney-prompts","source_datasets:Gustavosta/Stable-Diffusion-Prompts","language:en","license:apache-2.0","size_categories:1M<n<10M","parquet","text","datasets","dask","mlcroissant","region:us","text generation","croissant"]


hub_id: lucadiliello/mnli
license: []
language: []
config_name: default
column_names: ["key","premise","hypothesis","label"]
features:
[{"name":"key","dtype":"string"},{"name":"premise","dtype":"string"},{"name":"hypothesis","dtype":"string"},{"name":"label","dtype":"int64"}]


hub_id: Atomi/sem_eval_2013_task_7
license: ["cc"]
language: ["en"]
config_name: default
tags:
["task_categories:text-classification","task_ids:natural-language-inference","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:cc","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","asag","short-answer","grading","semantic-similarity","croissant"]

column_names:
["split","classification_type","corpus","test_set","question_qtype","question_id","question_module","question_stype","question","reference_answer_quality","reference_answer_id","reference_answer_file_id","reference_answer","student_answer_count","student_answer_match","student_answer_id","student_answer_label","student_answer","label_5way"]

features:
[{"name":"split","dtype":"string"},{"name":"classification_type","dtype":"string"},{"name":"corpus","dtype":"string"},{"name":"test_set","dtype":"string"},{"name":"question_qtype","dtype":"string"},{"name":"question_id","dtype":"string"},{"name":"question_module","dtype":"string"},{"name":"question_stype","dtype":"string"},{"name":"question","dtype":"string"},{"name":"reference_answer_quality","dtype":"string"},{"name":"reference_answer_id","dtype":"string"},{"name":"reference_answer_file_id","dtype":"string"},{"name":"reference_answer","dtype":"string"},{"name":"student_answer_count","dtype":"float64"},{"name":"student_answer_match","dtype":"string"},{"name":"student_answer_id","dtype":"string"},{"name":"student_answer_label","dtype":"string"},{"name":"student_answer","dtype":"string"},{"name":"label_5way","dtype":"string"}]


hub_id: Short-Answer-Feedback/saf_micro_job_german
license: ["cc-by-4.0"]
language: ["de"]
config_name: default
tags:
["task_categories:text2text-generation","annotations_creators:expert-generated","language_creators:other","multilinguality:monolingual","source_datasets:original","language:de","license:cc-by-4.0","size_categories:1K<n<10K","parquet","text","datasets","pandas","mlcroissant","region:us","short answer feedback","micro job","croissant"]

column_names:
["id","question","reference_answer","provided_answer","answer_feedback","verification_feedback","score"]

features:
[{"name":"id","dtype":"string"},{"name":"question","dtype":"string"},{"name":"reference_answer","dtype":"string"},{"name":"provided_answer","dtype":"string"},{"name":"answer_feedback","dtype":"string"},{"name":"verification_feedback","dtype":"string"},{"name":"score","dtype":"float64"}]


hub_id: Short-Answer-Feedback/saf_communication_networks_english
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
tags:
["task_categories:text2text-generation","annotations_creators:expert-generated","language_creators:other","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-4.0","size_categories:100K<n<1M","parquet","text","datasets","pandas","mlcroissant","region:us","short answer feedback","communication networks","croissant"]

column_names:
["id","question","reference_answer","provided_answer","answer_feedback","verification_feedback","score"]

features:
[{"name":"id","dtype":"string"},{"name":"question","dtype":"string"},{"name":"reference_answer","dtype":"string"},{"name":"provided_answer","dtype":"string"},{"name":"answer_feedback","dtype":"string"},{"name":"verification_feedback","dtype":"string"},{"name":"score","dtype":"float64"}]


hub_id: claytonsamples/lab
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"kimwipes","1":"nitrile gloves","2":"petri dish","3":"serological pipette"}}}}]


hub_id: jinhybr/rvl_cdip_400_train_val_test
license: []
language: []
config_name: default
column_names: ["image","label","ground_truth"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"letter","1":"form","2":"email","3":"handwritten","4":"advertisement","5":"scientific report","6":"scientific publication","7":"specification","8":"file folder","9":"news article","10":"budget","11":"invoice","12":"presentation","13":"questionnaire","14":"resume","15":"memo"}}}},{"name":"ground_truth","dtype":"string"}]


hub_id: zhangxinran/lolita-dress-CHIN
license: []
language: []
config_name: default
column_names: ["image","text"]
features: [{"name":"image","dtype":"image"},{"name":"text","dtype":"string"}]
tags:
["size_categories:n<1K","parquet","image","text","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: vidhikatkoria/FewShotSGD
license: []
language: []
config_name: default
column_names: ["domain","context","response","act","speaker"]
features:
[{"name":"domain","dtype":"string"},{"name":"context","dtype":"string"},{"name":"response","dtype":"string"},{"name":"act","dtype":"int64"},{"name":"speaker","dtype":"int64"}]


hub_id: WillHeld/stereoset_zero
license: []
language: []
config_name: default
column_names: ["target","text","classes"]
features:
[{"name":"target","dtype":"int64"},{"name":"text","dtype":"string"},{"name":"classes","sequence":"string"}]


hub_id: ysjay/processed_bert_dataset
tags: ["size_categories:1K<n<10K","parquet","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["input_ids","token_type_ids","attention_mask","next_sentence_label"]
features:
[{"name":"input_ids","sequence":"int32"},{"name":"token_type_ids","sequence":"int8"},{"name":"attention_mask","sequence":"int8"},{"name":"next_sentence_label","dtype":"int64"}]


hub_id: Multimodal-Fatima/FGVC_Aircraft_train
license: []
language: []
config_name: default
column_names:
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hub_id: dlproject/msp_train_hubert
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hub_id: Nadav/MiniScans
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hub_id: biglam/bnl_newspapers1841-1879
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hub_id: cjvt/si_nli
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hub_id: HuggingFaceM4/VQAv2_modif
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hub_id: helliun/testtyt
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hub_id: juancopi81/test_whisper_test
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hub_id: olm/olm-october-2022-tokenized-512
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hub_id: juancopi81/diana_uribe
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hub_id: Fazzie/Teyvat
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hub_id: Whispering-GPT/whisper-transcripts-linustechtips
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hub_id: Jzuluaga/atcosim_corpus
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hub_id: taejunkim/processed_demo
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hub_id: hungngocphat01/zalo-ai-train
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hub_id: davanstrien/dataset_readmes
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hub_id: taeseokyi/github-issues
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hub_id: israfelsr/mm_tiny_imagenet
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hub_id: AmanK1202/LogoGeneration
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hub_id: severo/mnist
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hub_id: daspartho/stable-diffusion-prompts
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hub_id: Tristan/olm-CC-MAIN-2022-40-sampling-ratio-0.0001-ne-language
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hub_id: WillHeld/mtop
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hub_id: WillHeld/hinglish_top
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hub_id: HuggingFaceM4/OK-VQA_modif-Sample
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hub_id: WillHeld/top_v2
license: []
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config_name: default
column_names: ["domain","utterance","semantic_parse"]
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hub_id: WillHeld/cstop
license: []
language: []
config_name: default
column_names: ["intent"," slots"," utterance"," semantic_parse","slots","utterance","semantic_parse"]
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hub_id: liuyanchen1015/parsed_sst2
license: []
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column_names: ["sentence","label","idx","parse_tree","pure_parse_tree"]
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hub_id: juancopi81/Yannic-Kilcher
license: []
language: []
config_name: default
column_names: ["CHANNEL_NAME","URL","TITLE","DESCRIPTION","TRANSCRIPTION","SEGMENTS"]
tags:
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hub_id: WillHeld/cstop_artificial
license: []
language: []
config_name: default
column_names: ["utterance"," semantic_parse","semantic_parse"]
features:
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hub_id: ogimgio/highways-hacktum
tags: ["size_categories:n<1K","parquet","image","datasets","dask","mlcroissant","region:us","croissant"]
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hub_id: Freed-Wu/kodak
license: ["gpl-3.0"]
language: ["en"]
config_name: default
column_names: ["image"]
features: [{"name":"image","dtype":"image"}]
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hub_id: galman33/del
tags: ["region:us"]
license: []
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config_name: default
column_names: ["lat","lon","country_code","pixels"]
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hub_id: Whispering-GPT/two-minute-papers
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column_names: ["CHANNEL_NAME","URL","TITLE","DESCRIPTION","TRANSCRIPTION","SEGMENTS"]
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hub_id: galman33/gal_yair_8300_100x100_fixed
license: []
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column_names: ["lat","lon","country_code","image"]
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hub_id: gluten/gpk-captions
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hub_id: DTU54DL/common-voice-test16k
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["audio","sentence","accent"]
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hub_id: gojiteji/QRsst2
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hub_id: venetis/VMMRdb_make_model
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hub_id: dkagramanyan/horoscopes_ru
license: []
language: ["ru"]
config_name: default
column_names: ["date","sign","text"]
tags:
["task_categories:text-generation","multilinguality:monolingual","language:ru","size_categories:10K<n<100K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"date","dtype":"string"},{"name":"sign","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: osanseviero/yannic-w-large
license: []
language: []
config_name: default
column_names: ["CHANNEL_NAME","URL","TITLE","DESCRIPTION","TRANSCRIPTION","SEGMENTS","__index_level_0__"]
tags:
["task_categories:automatic-speech-recognition","parquet","datasets","pandas","mlcroissant","region:us","whisper","whispering","large","croissant"]

features:
[{"name":"CHANNEL_NAME","dtype":"null"},{"name":"URL","dtype":"null"},{"name":"TITLE","dtype":"null"},{"name":"DESCRIPTION","dtype":"null"},{"name":"TRANSCRIPTION","dtype":"null"},{"name":"SEGMENTS","dtype":"null"},{"name":"__index_level_0__","dtype":"null"}]


hub_id: osanseviero/yannic_test2
license: []
language: []
config_name: default
column_names: ["CHANNEL_NAME","URL","TITLE","DESCRIPTION","TRANSCRIPTION","SEGMENTS"]
tags:
["task_categories:automatic-speech-recognition","size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","whisper","whispering","large","croissant"]


hub_id: jeanlee/kmhas_korean_hate_speech
license: ["cc-by-sa-4.0"]
language: ["ko"]
config_name: default
column_names: ["text","label"]
tags:
["task_categories:text-classification","task_ids:multi-label-classification","task_ids:hate-speech-detection","annotations_creators:crowdsourced","language_creators:found","multilinguality:monolingual","source_datasets:original","language:ko","license:cc-by-sa-4.0","size_categories:10M<n<100M","text","datasets","mlcroissant","arxiv:2208.10684","region:us","K-MHaS","Korean NLP","Hate Speech Detection","Dataset","Coling2022","croissant"]

features:
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hub_id: dlproject/msp_train_hubert_large
tags: ["size_categories:10K<n<100K","parquet","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["input_values","attention_mask","labels"]
features:
[{"name":"input_values","sequence":{"sequence":{"sequence":"float32"}}},{"name":"attention_mask","sequence":{"sequence":"int32"}},{"name":"labels","dtype":"int64"}]


hub_id: Norod78/hewiki-20220901-articles-dataset
license: []
language: ["he"]
config_name: default
column_names: ["text"]
features: [{"name":"text","dtype":"string"}]
tags:
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hub_id: kojima-r/birddb_small2
license: []
language: []
config_name: default
column_names: ["audio"]
features: [{"name":"audio","dtype":"audio"}]
tags:
["size_categories:10K<n<100K","parquet","audio","datasets","dask","mlcroissant","region:us","croissant"]


hub_id: antoniomenezes/go_emotions_ptbr
license: ["apache-2.0"]
language: ["en","pt"]
config_name: simplified
column_names: ["text","labels","id"]
tags:
["task_categories:text-classification","task_ids:multi-class-classification","task_ids:multi-label-classification","annotations_creators:crowdsourced","language_creators:found","multilinguality:2 languages","source_datasets:modified","language:en","language:pt","license:apache-2.0","size_categories:100K<n<1M","arxiv:2005.00547","region:us","emotion"]

features:
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hub_id: dvgodoy/auto-mpg-split
license: []
language: []
config_name: default
column_names:
["mpg","cylinders","displacement","horsepower","weight","acceleration","model year","origin","car name"]

features:
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hub_id: sagnikrayc/snli-cf-kaushik
license: ["cc-by-4.0"]
language: ["en"]
config_name: default
column_names: ["premise","hypothesis","label"]
tags:
["task_categories:text-classification","task_ids:natural-language-inference","task_ids:multi-input-text-classification","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:monolingual","source_datasets:extended|snli","language:en","license:cc-by-4.0","size_categories:10K<n<100K","text","datasets","mlcroissant","region:us","croissant"]

features:
[{"name":"premise","dtype":"string"},{"name":"hypothesis","dtype":"string"},{"name":"label","dtype":"string"}]


hub_id: GabrielVidal/dead-by-daylight-perks
license: ["openrail"]
language: ["en"]
config_name: default
column_names: ["image","name","type","description"]
tags:
["task_categories:image-classification","task_categories:text-to-image","task_ids:multi-class-image-classification","annotations_creators:found","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:openrail","size_categories:n<1K","parquet","image","text","datasets","pandas","mlcroissant","region:us","dead by daylight","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"name","dtype":"string"},{"name":"type","dtype":"string"},{"name":"description","dtype":"string"}]


hub_id: voidful/librispeech_unit_speech
license: []
language: []
config_name: default
tags:
["size_categories:1K<n<10K","parquet","audio","text","datasets","dask","mlcroissant","region:us","croissant"]

column_names:
["text","speaker_id","chapter_id","id","audio_0","audio_1","audio_2","audio_3","audio_4","audio_5","audio_6","audio_7","audio_8","audio_9","audio_10"]

features:
[{"name":"text","dtype":"string"},{"name":"speaker_id","dtype":"int64"},{"name":"chapter_id","dtype":"int64"},{"name":"id","dtype":"string"},{"name":"audio_0","dtype":"audio"},{"name":"audio_1","dtype":"audio"},{"name":"audio_2","dtype":"audio"},{"name":"audio_3","dtype":"audio"},{"name":"audio_4","dtype":"audio"},{"name":"audio_5","dtype":"audio"},{"name":"audio_6","dtype":"audio"},{"name":"audio_7","dtype":"audio"},{"name":"audio_8","dtype":"audio"},{"name":"audio_9","dtype":"audio"},{"name":"audio_10","dtype":"audio"}]


hub_id: Rahul-2022/sroie
tags: ["size_categories:n<1K","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["pixel_values","labels","target_sequence"]
features:
[{"name":"pixel_values","sequence":{"sequence":{"sequence":"float32"}}},{"name":"labels","sequence":"int64"},{"name":"target_sequence","dtype":"string"}]


hub_id: davanstrien/scottishdirectories
license: []
language: []
config_name: default
column_names: ["id","image","iiif_manifest"]
features:
[{"name":"id","dtype":"string"},{"name":"image","dtype":"string"},{"name":"iiif_manifest","dtype":"string"}]


hub_id: PGT/unbalanced-motifs-50K
tags: ["size_categories:10K<n<100K","parquet","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names:
["motif_G13","motif_G14","motif_G15","motif_G16","motif_G17","motif_G18","class_label","num_nodes","num_bridges","num_cycles","avg_shortest_path_len","edge_attr","node_feat","edge_index"]

features:
[{"name":"motif_G13","sequence":"float64"},{"name":"motif_G14","sequence":"float64"},{"name":"motif_G15","sequence":"float64"},{"name":"motif_G16","sequence":"float64"},{"name":"motif_G17","sequence":"float64"},{"name":"motif_G18","sequence":"float64"},{"name":"class_label","sequence":"int64"},{"name":"num_nodes","dtype":"int64"},{"name":"num_bridges","sequence":"float64"},{"name":"num_cycles","sequence":"float64"},{"name":"avg_shortest_path_len","sequence":"float64"},{"name":"edge_attr","sequence":{"sequence":"int64"}},{"name":"node_feat","sequence":{"sequence":"int64"}},{"name":"edge_index","sequence":{"sequence":"int64"}}]


hub_id: sayakpaul/nyu_depth_v2
license: ["apache-2.0"]
language: ["en"]
config_name: default
column_names: ["image","depth_map"]
features: [{"name":"image","dtype":"image"},{"name":"depth_map","dtype":"image"}]
tags:
["task_categories:depth-estimation","multilinguality:monolingual","language:en","license:apache-2.0","size_categories:1K<n<10K","image","datasets","mlcroissant","arxiv:1903.03273","region:us","depth-estimation","croissant"]


hub_id: Lokibabu/docvqa_dataset
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["id","ground_truth","image","data_split"]
features:
[{"name":"id","dtype":"string"},{"name":"ground_truth","dtype":"string"},{"name":"image","dtype":"string"},{"name":"data_split","dtype":"string"}]


hub_id: davanstrien/scottishdirectories_loaded
license: []
language: []
config_name: default
column_names: ["id","image","iiif_manifest","loaded_image"]
features:
[{"name":"id","dtype":"string"},{"name":"image","dtype":"string"},{"name":"iiif_manifest","dtype":"string"},{"name":"loaded_image","dtype":"image"}]


hub_id: nefasto/cv11-it-dummy
license: []
language: []
config_name: default
column_names:
["client_id","path","audio","sentence","up_votes","down_votes","age","gender","accent","locale","segment"]

features:
[{"name":"client_id","dtype":"string"},{"name":"path","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"sentence","dtype":"string"},{"name":"up_votes","dtype":"int64"},{"name":"down_votes","dtype":"int64"},{"name":"age","dtype":"string"},{"name":"gender","dtype":"string"},{"name":"accent","dtype":"string"},{"name":"locale","dtype":"string"},{"name":"segment","dtype":"string"}]


hub_id: justinian336/elsalvadorgram
license: []
language: []
config_name: default
column_names: ["image_src","title","content","link"]
features:
[{"name":"image_src","dtype":"string"},{"name":"title","dtype":"string"},{"name":"content","dtype":"string"},{"name":"link","dtype":"string"}]


hub_id: Sociovestix/lenu
tags: ["region:us"]
license: []
language: []
config_name: US-MA
column_names: ["LEI","Entity.LegalName","Entity.LegalForm.EntityLegalFormCode"]
features:
[{"name":"LEI","dtype":"string"},{"name":"Entity.LegalName","dtype":"string"},{"name":"Entity.LegalForm.EntityLegalFormCode","dtype":{"class_label":{"names":{"0":"8888","1":"Z73Z","2":"BYFU","3":"6I75","4":"ZJTK","5":"GOGQ","6":"QX9N","7":"G76T","8":"7G8G","9":"22EO","10":"R7QO","11":"CAGH","12":"YP04","13":"9999"}}}}]


hub_id: pig4431/SST2_train67k_test1.8k_valid0.8k
license: []
language: []
config_name: default
column_names: ["text","label","label_text"]
features:
[{"name":"text","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"label_text","dtype":"string"}]


hub_id: pig4431/AmazonPolarity_train25k_test5k_valid5k
license: []
language: []
config_name: default
column_names: ["label","text"]
features:
[{"name":"label","dtype":{"class_label":{"names":{"0":"negative","1":"positive"}}}},{"name":"text","dtype":"string"}]


hub_id: Javtor/biomedical-topic-categorization-2022only-cased
license: []
language: []
config_name: default
column_names:
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hub_id: arbml/ARGEN_title_generation
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hub_id: Whispering-GPT/whisper-transcripts-the-ai-epiphany
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column_names: ["CHANNEL_NAME","URL","TITLE","DESCRIPTION","TRANSCRIPTION","SEGMENTS"]
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hub_id: voidful/commonvoice_10_unit
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hub_id: loubnabnl/python_comment_code_ratio_08
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hub_id: NimaBoscarino/test-glue
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hub_id: mrdbourke/food_vision_199_classes
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hub_id: ola13/small-the_pile
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hub_id: datablations/c4-filter-small
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hub_id: datablations/oscar-filter-small
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hub_id: shreyasharma/proofs
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hub_id: shreyasharma/proofs2
license: []
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hub_id: Javtor/rock-paper-scissors
license: []
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config_name: default
column_names: ["image","label"]
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hub_id: ola13/small-roots_en
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config_name: default
column_names: ["text","meta"]
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hub_id: reubenjohn/stackoverflow-unified-text-open-status-classification-sample
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config_name: default
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hub_id: reubenjohn/stackoverflow-open-status-classification-sample-albert-tokenized
tags: ["size_categories:100K<n<1M","parquet","datasets","pandas","mlcroissant","region:us","croissant"]
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hub_id: reubenjohn/stackoverflow-open-status-classification-albert-tokenized
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column_names: ["unified_texts","OpenStatus_id","input_ids","token_type_ids","attention_mask"]
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hub_id: shreyasharma/masked_step_label2
license: []
language: []
config_name: default
column_names: ["step","label","transformed_sentence","token_strs"]
features:
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hub_id: DTU54DL/librispeech-augmentated-train-prepared
license: []
language: []
config_name: default
column_names: ["file","audio","text","speaker_id","chapter_id","id","input_features","labels"]
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hub_id: cardiffnlp/tweet_sentiment_multilingual
license: []
language: ["en","ar","fr","de","hi","it","pt","es"]
config_name: sentiment
column_names: ["text","label"]
tags:
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hub_id: TREC-AToMiC/AToMiC-Images-v0.1
license: ["other"]
language: []
config_name: default
tags:
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hub_id: TREC-AToMiC/AToMiC-Texts-v0.1
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hub_id: liuyanchen1015/VALUE_sst2_been_done
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column_names: ["idx","sentence","label","score"]
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hub_id: shreyasharma/ret_sentence_eval
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hub_id: cmudrc/3d-printed-or-not
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hub_id: liuyanchen1015/VALUE_sst2_lexical
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hub_id: Jzuluaga/uwb_atcc
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hub_id: gigant/tib_complete_metadata
license: []
language: []
config_name: default
column_names:
["title","href","description","url_vid","release_date","subject","genre","abstract","language","doi","license","author","contributors"]

features:
[{"name":"title","dtype":"string"},{"name":"href","dtype":"string"},{"name":"description","dtype":"null"},{"name":"url_vid","dtype":"string"},{"name":"release_date","dtype":"string"},{"name":"subject","dtype":"string"},{"name":"genre","dtype":"string"},{"name":"abstract","dtype":"string"},{"name":"language","dtype":"string"},{"name":"doi","dtype":"string"},{"name":"license","dtype":"string"},{"name":"author","dtype":"string"},{"name":"contributors","dtype":"string"}]


hub_id: polytechXhf/jojos-dataset
license: ["cc-by-3.0"]
language: ["en"]
config_name: default
column_names: ["image","char_name","text"]
tags:
["task_categories:text-to-image","annotations_creators:no-annotation","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:cc-by-3.0","size_categories:n<1K","parquet","image","text","datasets","pandas","mlcroissant","region:us","jojos-bizarre-adventures","one-piece","fine-tune-stable-diffusion","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"char_name","dtype":"string"},{"name":"text","dtype":"string"}]


hub_id: fathyshalab/clinic-banking
license: []
language: []
config_name: default
column_names: ["Unnamed: 0","text","label","label_text"]
features:
[{"name":"Unnamed: 0","dtype":"int64"},{"name":"text","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"label_text","dtype":"string"}]


hub_id: liuyanchen1015/VALUE_mnli_been_done
license: []
language: []
config_name: default
column_names: ["premise","hypothesis","label","idx","score"]
features:
[{"name":"premise","dtype":"string"},{"name":"hypothesis","dtype":"string"},{"name":"label","dtype":"int64"},{"name":"idx","dtype":"int64"},{"name":"score","dtype":"int64"}]


hub_id: ManpreetK/NDD_NER
tags: ["size_categories:n<1K","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["tokens","ner_tags"]
features:
[{"name":"tokens","sequence":"string"},{"name":"ner_tags","sequence":{"class_label":{"names":{"0":"I-CONDITION","1":"I-TEST","2":"B-CONDITION","3":"I-PATIENT_GROUP","4":"B-ASSOCIATED_PROBLEM","5":"O","6":"I-ASSOCIATED_PROBLEM","7":"B-INTERVENTION","8":"B-PATIENT_GROUP","9":"I-INTERVENTION","10":"B-TEST"}}}}]


hub_id: piuba-bigdata/articles_and_comments
license: []
language: []
config_name: default
column_names: ["tweet_id","text","title","url","user","body","created_at","comments"]
features:
[{"name":"tweet_id","dtype":"string"},{"name":"text","dtype":"string"},{"name":"title","dtype":"string"},{"name":"url","dtype":"string"},{"name":"user","dtype":"string"},{"name":"body","dtype":"string"},{"name":"created_at","dtype":"string"},{"name":"comments","list":[{"name":"created_at","dtype":"string"},{"name":"prediction","struct":[{"name":"APPEARANCE","dtype":"int64"},{"name":"CALLS","dtype":"int64"},{"name":"CLASS","dtype":"int64"},{"name":"CRIMINAL","dtype":"int64"},{"name":"DISABLED","dtype":"int64"},{"name":"LGBTI","dtype":"int64"},{"name":"POLITICS","dtype":"int64"},{"name":"RACISM","dtype":"int64"},{"name":"WOMEN","dtype":"int64"}]},{"name":"text","dtype":"string"},{"name":"tweet_id","dtype":"string"},{"name":"user_id","dtype":"string"}]}]


hub_id: JoBeer/eclassTrainST
license: []
language: ["en"]
config_name: default
column_names: ["text","entailment","contradiction","label"]
tags:
["task_categories:sentence-similarity","language:en","size_categories:1M<n<10M","parquet","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"text","dtype":"string"},{"name":"entailment","dtype":"string"},{"name":"contradiction","dtype":"string"},{"name":"label","dtype":"string"}]


hub_id: lucadiliello/news_as2
license: []
language: []
config_name: default
column_names: ["question","answer","label"]
features:
[{"name":"question","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"label","dtype":"int64"}]


hub_id: DTU54DL/common-native
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["audio","sentence","accent"]
tags:
["task_categories:token-classification","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:mit","size_categories:10K<n<100K","parquet","audio","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"sentence","dtype":"string"},{"name":"accent","dtype":"string"}]


hub_id: Rami/multi-label-class-github-issues-text-classification
license: []
language: []
config_name: default
column_names: ["title","labels","bodyText"]
features:
[{"name":"title","dtype":"string"},{"name":"labels","sequence":"string"},{"name":"bodyText","dtype":"string"}]


hub_id: Tristan/olm-test-no-dedup
license: []
language: []
config_name: default
column_names: ["text","url","crawl_timestamp"]
features:
[{"name":"text","dtype":"string"},{"name":"url","dtype":"string"},{"name":"crawl_timestamp","dtype":"float64"}]


hub_id: society-ethics/medmcqa_age_gender
license: []
language: []
config_name: default
column_names:
["id","question","opa","opb","opc","opd","cop","choice_type","exp","subject_name","topic_name","age.child","age.youth","age.adult","age.senior","gender.male","gender.female"]

features:
[{"name":"id","dtype":"string"},{"name":"question","dtype":"string"},{"name":"opa","dtype":"string"},{"name":"opb","dtype":"string"},{"name":"opc","dtype":"string"},{"name":"opd","dtype":"string"},{"name":"cop","dtype":"int64"},{"name":"choice_type","dtype":"string"},{"name":"exp","dtype":"string"},{"name":"subject_name","dtype":"string"},{"name":"topic_name","dtype":"string"},{"name":"age.child","dtype":"bool"},{"name":"age.youth","dtype":"bool"},{"name":"age.adult","dtype":"bool"},{"name":"age.senior","dtype":"bool"},{"name":"gender.male","dtype":"bool"},{"name":"gender.female","dtype":"bool"}]


hub_id: DTU54DL/common-native-proc
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["sentence","accent","input_features","labels"]
tags:
["task_categories:token-classification","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:mit","size_categories:10K<n<100K","parquet","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"sentence","dtype":"string"},{"name":"accent","dtype":"string"},{"name":"input_features","sequence":{"sequence":"float32"}},{"name":"labels","sequence":"int64"}]


hub_id: alecsharpie/nailbiting_classification
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["image","label"]
tags:
["task_categories:image-classification","annotations_creators:expert-generated","annotations_creators:machine-generated","source_datasets:original","language:en","license:mit","size_categories:1K<n<10K","parquet","image","datasets","pandas","mlcroissant","region:us","nailbiting","image","preprocesses","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"biting","1":"no_biting"}}}}]


hub_id: gagan3012/hindawi
license: []
language: []
config_name: default
column_names: ["image","label"]
features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"Noto_Sans_Arabic","1":"Readex_Pro","2":"Amiri","3":"Noto_Kufi_Arabic","4":"Reem_Kufi_Fun","5":"Lateef","6":"Changa","7":"Kufam","8":"ElMessiri","9":"Reem_Kufi","10":"Noto_Naskh_Arabic","11":"Reem_Kufi_Ink","12":"Tajawal","13":"Aref_Ruqaa_Ink","14":"Markazi_Text","15":"IBM_Plex_Sans_Arabic","16":"Vazirmatn","17":"Harmattan","18":"Gulzar","19":"Scheherazade_New","20":"Cairo","21":"Amiri_Quran","22":"Noto_Nastaliq_Urdu","23":"Mada","24":"Aref_Ruqaa","25":"Almarai","26":"Alkalami","27":"Qahiri"}}}}]


hub_id: yuvalkirstain/laion-hd-subset
license: []
language: []
config_name: default
column_names:
["similarity","hash","punsafe","pwatermark","LANGUAGE","caption","url","key","status","error_message","width","height","original_width","original_height","exif","md5","path","image"]

features:
[{"name":"similarity","dtype":"float64"},{"name":"hash","dtype":"int64"},{"name":"punsafe","dtype":"float64"},{"name":"pwatermark","dtype":"float64"},{"name":"LANGUAGE","dtype":"string"},{"name":"caption","dtype":"string"},{"name":"url","dtype":"string"},{"name":"key","dtype":"string"},{"name":"status","dtype":"string"},{"name":"error_message","dtype":"null"},{"name":"width","dtype":"int64"},{"name":"height","dtype":"int64"},{"name":"original_width","dtype":"int64"},{"name":"original_height","dtype":"int64"},{"name":"exif","dtype":"string"},{"name":"md5","dtype":"string"},{"name":"path","dtype":"string"},{"name":"image","dtype":"image"}]


hub_id: DTU54DL/common-accent-proc
license: ["mit"]
language: ["en"]
config_name: default
column_names: ["audio","sentence","accent","input_features","labels"]
tags:
["task_categories:token-classification","annotations_creators:expert-generated","language_creators:found","multilinguality:monolingual","source_datasets:original","language:en","license:mit","size_categories:10K<n<100K","parquet","audio","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"sentence","dtype":"string"},{"name":"accent","dtype":"string"},{"name":"input_features","sequence":{"sequence":"float32"}},{"name":"labels","sequence":"int64"}]


hub_id: Rexhaif/laion-2b-en-very-unsafe
license: []
language: []
config_name: default
column_names: ["URL","TEXT","WIDTH","HEIGHT","similarity","hash","punsafe","pwatermark"]
tags:
["size_categories:10M<n<100M","parquet","tabular","text","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"URL","dtype":"string"},{"name":"TEXT","dtype":"string"},{"name":"WIDTH","dtype":"int32"},{"name":"HEIGHT","dtype":"int32"},{"name":"similarity","dtype":"float64"},{"name":"hash","dtype":"int64"},{"name":"punsafe","dtype":"float32"},{"name":"pwatermark","dtype":"float32"}]


hub_id: kmfoda/gov_report
license: []
language: []
config_name: default
column_names: ["source","target"]
features: [{"name":"source","dtype":"string"},{"name":"target","dtype":"string"}]
tags:
["size_categories:1M<n<10M","parquet","text","datasets","dask","mlcroissant","arxiv:2105.08209","region:us","croissant"]


hub_id: 1aurent/individuality-of-handwriting
license: ["unknown"]
language: ["en"]
config_name: default
column_names: ["image","label","individual","figure"]
tags:
["task_categories:image-classification","annotations_creators:crowdsourced","language_creators:crowdsourced","multilinguality:monolingual","language:en","license:unknown","size_categories:1K<n<10K","region:us","legal","signatures","CEDAR"]

features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"original","1":"forgeries"}}}},{"name":"individual","dtype":"uint8"},{"name":"figure","dtype":"uint8"}]


hub_id: 1aurent/ICDAR-2011
license: ["unknown"]
language: []
config_name: default
column_names: ["image","label","forger","writer","attempt"]
tags:
["license:unknown","size_categories:1K<n<10K","region:us","online handwriting","offline handwriting","signature","verification"]

features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"genuine","1":"forgeries"}}}},{"name":"forger","dtype":"int32"},{"name":"writer","dtype":"uint32"},{"name":"attempt","dtype":"uint32"}]


hub_id: manirai91/ebiquity-v2-stemmed
tags: ["size_categories:1K<n<10K","text","datasets","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: ebiquity-v2-stemmed
column_names: ["id","tokens","ner_tags"]
features:
[{"name":"id","dtype":"string"},{"name":"tokens","sequence":"string"},{"name":"ner_tags","sequence":{"class_label":{"names":{"0":"O","1":"B-PER","2":"I-PER","3":"B-ORG","4":"I-ORG","5":"B-LOC","6":"I-LOC","7":"B-MISC","8":"I-MISC"}}}}]


hub_id: Viccorza/es_docvqa_donut
license: []
language: []
config_name: default
column_names: ["id","image","query","answers","words","bounding_boxes","answer","ground_truth"]
features:
[{"name":"id","dtype":"string"},{"name":"image","dtype":"image"},{"name":"query","struct":[{"name":"de","dtype":"string"},{"name":"en","dtype":"string"},{"name":"es","dtype":"string"},{"name":"fr","dtype":"string"},{"name":"it","dtype":"string"}]},{"name":"answers","sequence":"string"},{"name":"words","sequence":"string"},{"name":"bounding_boxes","sequence":{"sequence":"float32","length":4}},{"name":"answer","struct":[{"name":"match_score","dtype":"float64"},{"name":"matched_text","dtype":"string"},{"name":"start","dtype":"int64"},{"name":"text","dtype":"string"}]},{"name":"ground_truth","dtype":"string"}]


hub_id: Rami/github-discussion
license: []
language: []
config_name: default
column_names: ["question","context","answer","id","url"]
features:
[{"name":"question","dtype":"string"},{"name":"context","dtype":"string"},{"name":"answer","dtype":"string"},{"name":"id","dtype":"string"},{"name":"url","dtype":"string"}]


hub_id: ashraq/tmdb-people-image
license: []
language: []
config_name: default
column_names:
["adult","also_known_as","biography","birthday","deathday","gender","homepage","id","imdb_id","known_for_department","name","place_of_birth","popularity","profile_path","image"]

features:
[{"name":"adult","dtype":"bool"},{"name":"also_known_as","dtype":"string"},{"name":"biography","dtype":"string"},{"name":"birthday","dtype":"string"},{"name":"deathday","dtype":"string"},{"name":"gender","dtype":"int64"},{"name":"homepage","dtype":"string"},{"name":"id","dtype":"int64"},{"name":"imdb_id","dtype":"string"},{"name":"known_for_department","dtype":"string"},{"name":"name","dtype":"string"},{"name":"place_of_birth","dtype":"string"},{"name":"popularity","dtype":"float64"},{"name":"profile_path","dtype":"string"},{"name":"image","dtype":"image"}]


hub_id: adrienheymans/imdb-movie-genres
license: []
language: []
config_name: default
column_names: ["title","text","genre","label"]
features:
[{"name":"title","dtype":"string"},{"name":"text","dtype":"string"},{"name":"genre","dtype":"string"},{"name":"label","dtype":"int64"}]


hub_id: omarelsayeed/2000dataset
tags: ["size_categories:1K<n<10K","parquet","datasets","dask","mlcroissant","region:us","croissant"]
license: []
language: []
config_name: default
column_names: ["input_values","input_length","labels"]
features:
[{"name":"input_values","struct":[{"name":"attention_mask","sequence":{"sequence":"int32"}},{"name":"input_values","sequence":{"sequence":"float32"}}]},{"name":"input_length","dtype":"int64"},{"name":"labels","sequence":"int64"}]


hub_id: arbml/Dvoice
license: []
language: []
config_name: default
column_names: ["path","audio","text"]
tags:
["size_categories:100K<n<1M","parquet","audio","text","datasets","pandas","mlcroissant","region:us","croissant"]

features:
[{"name":"path","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}},{"name":"text","dtype":"string"}]


hub_id: arbml/sudanese_dialect_speech
license: []
language: []
config_name: default
column_names: ["text","path","audio"]
features:
[{"name":"text","dtype":"string"},{"name":"path","dtype":"string"},{"name":"audio","dtype":{"audio":{"sampling_rate":16000}}}]


hub_id: stacked-summaries/stacked-xsum-1024
license: ["apache-2.0"]
language: ["en"]
config_name: default
column_names: ["document","summary","id","chapter_length","summary_length","is_stacked"]
tags:
["task_categories:summarization","source_datasets:xsum","language:en","license:apache-2.0","size_categories:100K<n<1M","parquet","tabular","text","datasets","dask","mlcroissant","doi:10.57967/hf/0390","region:us","stacked summaries","xsum","croissant"]

features:
[{"name":"document","dtype":"string"},{"name":"summary","dtype":"string"},{"name":"id","dtype":"int64"},{"name":"chapter_length","dtype":"int64"},{"name":"summary_length","dtype":"int64"},{"name":"is_stacked","dtype":"bool"}]


hub_id: kmewhort/tu-berlin-png
license: ["cc-by-4.0"]
language: []
config_name: default
column_names: ["image","label"]
tags:
["license:cc-by-4.0","size_categories:1M<n<10M","parquet","image","datasets","dask","mlcroissant","region:us","croissant"]

features:
[{"name":"image","dtype":"image"},{"name":"label","dtype":{"class_label":{"names":{"0":"airplane","1":"alarm clock","2":"angel","3":"ant","4":"apple","5":"arm","6":"armchair","7":"ashtray","8":"axe","9":"backpack","10":"banana","11":"barn","12":"baseball bat","13":"basket","14":"bathtub","15":"bear (animal)","16":"bed","17":"bee","18":"beer-mug","19":"bell","20":"bench","21":"bicycle","22":"binoculars","23":"blimp","24":"book","25":"bookshelf","26":"boomerang","27":"bottle opener","28":"bowl","29":"brain","30":"bread","31":"bridge","32":"bulldozer","33":"bus","34":"bush","35":"butterfly","36":"cabinet","37":"cactus","38":"cake","39":"calculator","40":"camel","41":"camera","42":"candle","43":"cannon","44":"canoe","45":"car (sedan)","46":"carrot","47":"castle","48":"cat","49":"cell phone","50":"chair","51":"chandelier","52":"church","53":"cigarette","54":"cloud","55":"comb","56":"computer monitor","57":"computer-mouse","58":"couch","59":"cow","60":"crab","61":"crane (machine)","62":"crocodile","63":"crown","64":"cup","65":"diamond","66":"dog","67":"dolphin","68":"donut","69":"door","70":"door handle","71":"dragon","72":"duck","73":"ear","74":"elephant","75":"envelope","76":"eye","77":"eyeglasses","78":"face","79":"fan","80":"feather","81":"fire hydrant","82":"fish","83":"flashlight","84":"floor lamp","85":"flower with stem","86":"flying bird","87":"flying saucer","88":"foot","89":"fork","90":"frog","91":"frying-pan","92":"giraffe","93":"grapes","94":"grenade","95":"guitar","96":"hamburger","97":"hammer","98":"hand","99":"harp","100":"hat","101":"head","102":"head-phones","103":"hedgehog","104":"helicopter","105":"helmet","106":"horse","107":"hot air balloon","108":"hot-dog","109":"hourglass","110":"house","111":"human-skeleton","112":"ice-cream-cone","113":"ipod","114":"kangaroo","115":"key","116":"keyboard","117":"knife","118":"ladder","119":"laptop","120":"leaf","121":"lightbulb","122":"lighter","123":"lion","124":"lobster","125":"loudspeaker","126":"mailbox","127":"megaphone","128":"mermaid","129":"microphone","130":"microscope","131":"monkey","132":"moon","133":"mosquito","134":"motorbike","135":"mouse (animal)","136":"mouth","137":"mug","138":"mushroom","139":"nose","140":"octopus","141":"owl","142":"palm tree","143":"panda","144":"paper clip","145":"parachute","146":"parking meter","147":"parrot","148":"pear","149":"pen","150":"penguin","151":"person sitting","152":"person walking","153":"piano","154":"pickup truck","155":"pig","156":"pigeon","157":"pineapple","158":"pipe (for smoking)","159":"pizza","160":"potted plant","161":"power outlet","162":"present","163":"pretzel","164":"pumpkin","165":"purse","166":"rabbit","167":"race car","168":"radio","169":"rainbow","170":"revolver","171":"rifle","172":"rollerblades","173":"rooster","174":"sailboat","175":"santa claus","176":"satellite","177":"satellite dish","178":"saxophone","179":"scissors","180":"scorpion","181":"screwdriver","182":"sea turtle","183":"seagull","184":"shark","185":"sheep","186":"ship","187":"shoe","188":"shovel","189":"skateboard","190":"skull","191":"skyscraper","192":"snail","193":"snake","194":"snowboard","195":"snowman","196":"socks","197":"space shuttle","198":"speed-boat","199":"spider","200":"sponge bob","201":"spoon","202":"squirrel","203":"standing bird","204":"stapler","205":"strawberry","206":"streetlight","207":"submarine","208":"suitcase","209":"sun","210":"suv","211":"swan","212":"sword","213":"syringe","214":"t-shirt","215":"table","216":"tablelamp","217":"teacup","218":"teapot","219":"teddy-bear","220":"telephone","221":"tennis-racket","222":"tent","223":"tiger","224":"tire","225":"toilet","226":"tomato","227":"tooth","228":"toothbrush","229":"tractor","230":"traffic light","231":"train","232":"tree","233":"trombone","234":"trousers","235":"truck","236":"trumpet","237":"tv","238":"umbrella","239":"van","240":"vase","241":"violin","242":"walkie talkie","243":"wheel","244":"wheelbarrow","245":"windmill","246":"wine-bottle","247":"wineglass","248":"wrist-watch","249":"zebra"}}}}]


