Datasets:
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HuggingBench-Classification

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dataset:cwinkler/green_patents [32]
dataset:SZTAKI-HLT/HunSum-1 [26]
dataset:Eip/autotrain-data-real-vs-fake-news [32]
dataset:Achitha/tamildata [4]
dataset:Xpitfire/cmp_facade [12]
dataset:HeNLP/HeDC4 [8]
dataset:tasksource/lingnli [32]
dataset:dream-textures/textures-normal-1k [37]
dataset:deepghs/anime_person_detection [21]
dataset:LewisShanghai/autotrain-data-books-rating-analysis [32]
dataset:ruanchaves/hatebr [32]
dataset:keremberke/pothole-segmentation [12]
dataset:AdamOswald1/autotrain-data-attempt [10]
dataset:AdamOswald1/autotrain-data-alt [10]
dataset:AdamOswald1/autotrain-data-testttt [10]
dataset:AdamOswald1/autotrain-data-let [10]
dataset:keremberke/protective-equipment-detection [21]
dataset:keremberke/plane-detection [21]
dataset:tasksource/cycic_multiplechoice [20]
dataset:tasksource/cycic_classification [22, 32]
dataset:ai4bharat/naamapadam [42]
dataset:nickmuchi/financial-text-combo-classification [32]
dataset:kubota/defamation-japanese-twitter [32]
dataset:mwz/ur_para [40, 26, 33]
dataset:ivelin/rico_refexp_combined [22]
dataset:Maeji/autotrain-data-230121_t5_lcw99 [26]
dataset:pszemraj/govreport-summarization-8192 [26]
dataset:rmahfuz/kaleidoscope [15]
dataset:imvladikon/parashoot [22]
dataset:malysheva42/spaeti_store [37, 12, 10, 15]
dataset:lorenzoscottb/PLANE-ood [32]
dataset:Aman6917/autotrain-data-big_tm4 [26]
dataset:tasksource/sts-companion [25, 32]
dataset:awalesushil/DBLP-QuAD [22]
dataset:income/cqadupstack-programmers-top-20-gen-queries [34]
dataset:tasksource/commonsense_qa_2.0 [22]
dataset:Jsevisal/gesture_pred [42]
dataset:pierreguillou/DocLayNet-large [21, 12, 42]
dataset:michelecafagna26/hl [16, 22, 49]
dataset:jonathan-roberts1/RSSCN7 [10, 50]
dataset:pierreguillou/DocLayNet-small [21, 12, 42]
dataset:tasksource/naturallogic [32]
dataset:metaeval/acceptability-prediction [32]
dataset:keremberke/pcb-defect-segmentation [12]
dataset:keremberke/shoe-classification [10]
dataset:inkoziev/incomplete_utterance_restoration [22]
dataset:navjordj/VG_summarization [26, 40]
dataset:Lloviant/autotrain-data-ex-and-pt [10]
dataset:Kaludi/data-reviews-sentiment-analysis [32]
dataset:Kaludi/data-food-classification [10]
dataset:nijatzeynalov/azerbaijani-multi-news [26]
dataset:qwertyforce/scenery_watermarks [10]
dataset:MtCelesteMa/multiglue [32]
dataset:TurkuNLP/squad_v2_fi [22]
dataset:metaeval/syntactic-augmentation-nli [32]
dataset:kripsjaviya/autotrain-data-ssip2 [10]
dataset:LLukas22/cqadupstack [25, 7]
dataset:rvorias/realms_adventurers [37]
dataset:navjordj/SNL_summarization [26, 40]
dataset:LLukas22/nq [25, 7]
dataset:LLukas22/scidocs [25, 7]
dataset:Kaludi/data-csgo-weapon-classification [10]
dataset:sileod/attempto-nli [32]
dataset:dandrade/canciones_juan_luis_guerra [33]
dataset:tasksource/natural-language-satisfiability [32]
dataset:tasksource/lonli [32]
dataset:metaeval/nli-veridicality-transitivity [32]
dataset:tasksource/help-nli [32]
dataset:Kaludi/data-quick-summarization [26]
dataset:Kamtera/Persian-conversational-dataset [33]
dataset:tasksource/tomi-nli [32]
dataset:jrahn/yolochess_lichess-elite_2211 [32, 23]
dataset:mediabiasgroup/mbib-base [32]
dataset:ml4pubmed/pubmed-classification-20k [32]
dataset:KBlueLeaf/Danbooru2021-SQLite [33, 49]
dataset:tasksource/autotnli [32]
dataset:derek-thomas/squad-v1.1-t5-question-generation [40]
dataset:librarian-bots/model_card_dataset_mentions [32]
dataset:ajaykarthick/imdb-movie-reviews [32, 42, 7]
dataset:Kaludi/food-category-classification-v2.0 [10]
dataset:pain/AASL [12]
dataset:Mitsua/vroid-image-dataset-lite [37]
dataset:davanstrien/autotrain-data-dataset-mentions [32]
dataset:JoffreyMa/autotrain-data-histopathological_image_classification [10]
dataset:pszemraj/HC3-textgen-qa [33]
dataset:mbshr/XSUMUrdu-DW_BBC [26]
dataset:HiTZ/euscrawl [33, 8]
dataset:mrm8488/CHISTES_spanish_jokes [32, 33]
dataset:5w4n/OSCAR-2019-Burmese-fix [33, 8]
dataset:pedro-m4u/autotrain-data-new_1000_respostas [32]
dataset:Amir13/conll2003-persian [42]
dataset:Amir13/ontonotes5-persian [42]
dataset:Amir13/wnut2017-persian [42]
dataset:Amir13/ncbi-persian [42]
dataset:shmuhammad/AfriSenti-twitter-sentiment [32]
dataset:Finnish-NLP/Reddit_fi_2006_2022 [33]
dataset:shahules786/prosocial_augmented [32]
dataset:jhonparra18/petro-tweets [32, 33, 40]
dataset:amcoff/skolmat [32]
dataset:readerbench/ro-offense [32]