Datasets:
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HuggingBench-Classification

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dataset:embedding-data/WikiAnswers [25]
dataset:sileod/wikimedqa [32, 20]
dataset:demelin/understanding_fables [20, 33]
dataset:tner/conll2003 [42]
dataset:tner/wnut2017 [42]
dataset:tner/fin [42]
dataset:tner/bionlp2004 [42]
dataset:tner/bc5cdr [42]
dataset:biglam/old_bailey_proceedings [32, 33]
dataset:pyronear/openfire [10]
dataset:frgfm/imagenette [10]
dataset:tner/btc [42]
dataset:tner/tweebank_ner [42]
dataset:tner/tweetner7 [42]
dataset:codeparrot/github-jupyter-code-to-text [33]
dataset:LanceaKing/asvspoof2019 [1]
dataset:mozilla-foundation/common_voice_10_0 [4]
dataset:biglam/nls_chapbook_illustrations [21, 10]
dataset:anzorq/kbd-ru [43, 40]
dataset:anzorq/kbd_lat-ru [43, 40]
dataset:its5Q/panorama [33]
dataset:Qilex/EN-ME [43]
dataset:tau/sled [22, 26, 33]
dataset:RUCAIBox/Data-to-text-Generation [31, 28]
dataset:imodels/compas-recidivism [29]
dataset:Gabriel/cnn_daily_swe [26, 40]
dataset:jakartaresearch/indoqa [22]
dataset:Gabriel/xsum_swe [26, 40]
dataset:Gabriel/citesum_swe [26, 40]
dataset:jakartaresearch/id-paraphrase-detection [25]
dataset:jakartaresearch/semeval-absa [32]
dataset:cjvt/sentinews [32]
dataset:yhavinga/cnn_dailymail_dutch [26]
dataset:copenlu/scientific-exaggeration-detection [32]
dataset:SLPL/naab [8, 33]
dataset:projecte-aina/WikiCAT_ca [32]
dataset:narad/ravdess [1]
dataset:jakartaresearch/inglish [43]
dataset:teticio/audio-diffusion-256 [15]
dataset:BDas/EnglishNLPDataset [32]
dataset:jamescalam/unsplash-25k-photos [15, 10, 16, 37, 50]
dataset:alexandrainst/scandi-qa [22]
dataset:climatebert/environmental_claims [32]
dataset:cardiffnlp/tweet_topic_multi [32]
dataset:cardiffnlp/tweet_topic_single [32]
dataset:indonesian-nlp/librivox-indonesia [4]
dataset:Luciano/lener_br_text_to_lm [8, 33]
dataset:eraldoluis/faquad [22]
dataset:rahulmallah/autotrain-data-emotion-detection [32]
dataset:neuralspace/autotrain-data-citizen_nlu_bn [32]
dataset:cjvt/solar3 [40]
dataset:zeroshot/twitter-financial-news-topic [32]
dataset:victor/autotrain-data-donut-vs-croissant [10]
dataset:prathap-reddy/autotrain-data-climate-text-classification [32]
dataset:biglam/encyclopaedia_britannica_illustrated [10]
dataset:viola77data/recycling-dataset [10]
dataset:neulab/conala [40]
dataset:beki/privy [42]
dataset:slone/myv_ru_2022 [43]
dataset:bdotloh/empathetic-dialogues-contexts [32]
dataset:ImageIN/ImageIn_annotations [10]
dataset:din0s/asqa [22]
dataset:tner/wikiann [42]
dataset:tner/wikineural [42]
dataset:tner/multinerd [42]
dataset:DFKI-SLT/tacred [32]
dataset:sbx/superlim-2 [20, 32, 22, 25, 42, 26]
dataset:din0s/msmarco-nlgen [22]
dataset:ashwinperti/autotrain-data-ashwin_sentiment140dataset [32]
dataset:suresh-subramanian/autotrain-data-fake-news [32]
dataset:olm/wikipedia [33, 8]
dataset:inverse-scaling/NeQA [20, 22, 49]
dataset:inverse-scaling/quote-repetition [20, 22, 49]
dataset:inverse-scaling/redefine-math [20, 22, 49]
dataset:thegoodfellas/brwac_tiny [8]
dataset:FremyCompany/BioLORD-Dataset [25]
dataset:dennlinger/wiki-paragraphs [32, 25]
dataset:joey234/nan-nli [32]
dataset:AndyChiang/cloth [8]
dataset:AndyChiang/dgen [8]
dataset:svnfs/depth-of-field [10, 12]
dataset:pachi107/autotrain-data-ethos-sentiments [32]
dataset:elenanereiss/german-ler [42]
dataset:giulio98/xlcost-single-prompt [33]
dataset:Norod78/MuppetFaces [10]
dataset:tomasg25/scientific_lay_summarisation [26]
dataset:Aunsiels/InfantBooks [33]
dataset:projecte-aina/Parafraseja [32]
dataset:Aunsiels/Quasimodo [22]
dataset:bond005/sberdevices_golos_100h_farfield [4, 1]
dataset:bond005/sberdevices_golos_10h_crowd [4, 1]
dataset:woctordho/autotrain-data-lojban-translation [43]
dataset:PlanTL-GOB-ES/MLDoc [32]
dataset:bond005/sova_rudevices [4, 1]
dataset:NbAiLab/mnli-norwegian [25, 32]
dataset:Wannita/PyCoder [33]
dataset:sileod/probability_words_nli [32, 20, 22]
dataset:jpwahle/autoencoder-paraphrase-dataset [32, 33]
dataset:jpwahle/autoregressive-paraphrase-dataset [32, 33]
dataset:Norod78/simpsons-blip-captions [37]