| [ |
| "jfleg", |
| "anli", |
| "DFKI-SLT/tacred", |
| "enriched_web_nlg", |
| "freebase_qa", |
| "natural_questions", |
| "coqa", |
| "conllpp", |
| "linnaeus", |
| "fashion_mnist", |
| "yelp_review_full", |
| "xquad_r", |
| "circa", |
| "discofuse", |
| "ett", |
| "pubmed_qa", |
| "kd_conv", |
| "sharc", |
| "dennlinger/eur-lex-sum", |
| "DFKI-SLT/mobie", |
| "wider_face", |
| "sofc_materials_articles", |
| "sem_eval_2020_task_11", |
| "openai_humaneval", |
| "DFKI-SLT/cross_re", |
| "emotone_ar", |
| "timit_asr", |
| "gsarti/itacola", |
| "indonlp/NusaX-MT", |
| "bc2gm_corpus", |
| "ruanchaves/rerelem", |
| "superb", |
| "eugenesiow/Div2k", |
| "persiannlp/parsinlu_query_paraphrasing", |
| "dengue_filipino", |
| "TREC-AToMiC/AToMiC-Images-v0.2", |
| "HuggingFaceM4/OBELICS", |
| "bigcode/commitpackft", |
| "qed", |
| "math_qa", |
| "bigcode/commitpack", |
| "ro_sts_parallel", |
| "ai4bharat/samanantar", |
| "tweets_ar_en_parallel", |
| "tau/sled", |
| "refresd", |
| "google/xtreme_s", |
| "hybrid_qa", |
| "rafaelpadilla/coco2017", |
| "Muennighoff/xP3x", |
| "tapaco", |
| "kan_hope", |
| "turk", |
| "universal_morphologies", |
| "asnq", |
| "alt", |
| "coached_conv_pref", |
| "swedish_medical_ner", |
| "xsum_factuality", |
| "moroco", |
| "eugenesiow/PIRM", |
| "opus_paracrawl", |
| "PlanTL-GOB-ES/SQAC", |
| "poloclub/diffusiondb", |
| "numeric_fused_head", |
| "wino_bias", |
| "csebuetnlp/xlsum", |
| "Fsoft-AIC/the-vault-function", |
| "assin", |
| "msr_sqa", |
| "adv_glue", |
| "albertvillanova/carbon_24", |
| "sagnikrayc/mctest", |
| "ncbi_disease", |
| "hindi_discourse", |
| "paws", |
| "alisawuffles/WANLI", |
| "google/wit", |
| "cedr", |
| "eugenesiow/Set5", |
| "x_stance", |
| "evidence_infer_treatment", |
| "language-and-voice-lab/althingi_asr", |
| "facebook/babi_qa", |
| "art", |
| "clinc_oos", |
| "electricity_load_diagrams", |
| "lmqg/qg_squad", |
| "med_hop", |
| "eugenesiow/Urban100", |
| "cardiffnlp/tweet_topic_multi", |
| "librispeech_asr", |
| "ciempiess/ciempiess_test", |
| "ilist", |
| "mkb", |
| "newspop", |
| "pkavumba/balanced-copa", |
| "facebook/multilingual_librispeech", |
| "tashkeela", |
| "carblacac/twitter-sentiment-analysis", |
| "saudinewsnet", |
| "dbrd", |
| "strombergnlp/broad_twitter_corpus", |
| "gap", |
| "sharc_modified", |
| "wikisql", |
| "jimregan/clarinpl_sejmsenat", |
| "cs_restaurants", |
| "jimregan/clarinpl_studio", |
| "disfl_qa", |
| "bigcode/humanevalpack", |
| "cardiffnlp/tweet_sentiment_multilingual", |
| "opus100", |
| "andstor/the_pile_github", |
| "tner/wikiann", |
| "wikitablequestions", |
| "Babelscape/wikineural", |
| "jmhessel/newyorker_caption_contest", |
| "schema_guided_dstc8", |
| "IlyaGusev/headline_cause", |
| "per_sent", |
| "coarse_discourse", |
| "persiannlp/parsinlu_sentiment", |
| "tner/wnut2017", |
| "few_rel", |
| "cyberagent/crello", |
| "gfissore/arxiv-abstracts-2021", |
| "lener_br", |
| "quail", |
| "ipipan/maupqa", |
| "ropes", |
| "assin2", |
| "ehealth_kd", |
| "europa_eac_tm", |
| "joelniklaus/Multi_Legal_Pile", |
| "cats_vs_dogs", |
| "arabic_speech_corpus", |
| "allenai/cord19", |
| "tner/bionlp2004", |
| "tomas-gajarsky/cifar100-lt", |
| "mrqa", |
| "finer", |
| "ro_sent", |
| "indic_glue", |
| "euronews", |
| "neulab/conala", |
| "dbpedia_14", |
| "race", |
| "food101", |
| "qasc", |
| "narrativeqa_manual", |
| "yhavinga/mc4_nl_cleaned", |
| "pinecone/core-2020-05-10-deduplication", |
| "demelin/moral_stories", |
| "pec", |
| "conceptual_12m", |
| "tab_fact", |
| "lm1b", |
| "ARTeLab/ilpost", |
| "EMBO/BLURB", |
| "tweet_qa", |
| "DFKI-SLT/cross_ner", |
| "chr_en", |
| "mbpp", |
| "nlpaueb/finer-139", |
| "lighteval/mmlu", |
| "holylovenia/recam", |
| "msr_genomics_kbcomp", |
| "ro_sts", |
| "d0rj/wikisum", |
| "tner/multinerd", |
| "adversarial_qa", |
| "pass", |
| "empathetic_dialogues", |
| "acronym_identification", |
| "corypaik/coda", |
| "wikitext", |
| "conv_questions", |
| "biosses", |
| "cos_e", |
| "embedding-data/sentence-compression", |
| "cosmos_qa", |
| "crd3", |
| "aqua_rat", |
| "jonathan-roberts1/SATIN", |
| "lmqg/qa_squadshifts", |
| "m_lama", |
| "openslr", |
| "hda_nli_hindi", |
| "nlu_evaluation_data", |
| "iwslt2017", |
| "ami", |
| "d0rj/audiocaps", |
| "cais/mmlu", |
| "bianet", |
| "cuad", |
| "arka0821/multi_document_summarization", |
| "Helsinki-NLP/tatoeba_mt", |
| "lmqg/qg_jaquad", |
| "GroNLP/divemt", |
| "climatebert/climate_sentiment", |
| "wiki_asp", |
| "wiki_qa", |
| "PolyAI/banking77", |
| "albertxu/CrosswordQA", |
| "persiannlp/parsinlu_entailment", |
| "sst", |
| "anton-l/superb", |
| "NbAiLab/norec_agg", |
| "harem", |
| "newsgroup", |
| "common_gen", |
| "meta_woz", |
| "tner/wikineural", |
| "copenlu/answerable_tydiqa", |
| "cail2018", |
| "ttc4900", |
| "ipipan/polqa", |
| "newsph_nli", |
| "event2Mind", |
| "reasoning-machines/gsm-hard", |
| "scientific_papers", |
| "eraser_multi_rc", |
| "kor_hate", |
| "ajgt_twitter_ar", |
| "HuggingFaceM4/NoCaps", |
| "dell-research-harvard/headlines-semantic-similarity", |
| "docred", |
| "tau/scrolls", |
| "dialog_re", |
| "scene_parse_150", |
| "facebook/pmd", |
| "xglue", |
| "sst2", |
| "maastrichtlawtech/bsard", |
| "hate_speech_filipino", |
| "DFKI-SLT/kbp37", |
| "allenai/scico", |
| "offenseval2020_tr", |
| "bigscience/xP3all", |
| "uit-nlp/vietnamese_students_feedback", |
| "gsarti/flores_101", |
| "bbaw_egyptian", |
| "health_fact", |
| "mwsc", |
| "indonli", |
| "cppe-5", |
| "mutual_friends", |
| "webis/conclugen", |
| "wiki_hop", |
| "asi/wikitext_fr", |
| "multi_woz_v22", |
| "search_qa", |
| "derek-thomas/ScienceQA", |
| "SLPL/naab", |
| "medical_dialog", |
| "clue", |
| "juletxara/xstory_cloze", |
| "csebuetnlp/squad_bn", |
| "labr", |
| "caner", |
| "proto_qa", |
| "embedding-data/QQP_triplets", |
| "tner/fin", |
| "florianbussmann/FUNSD-vu2020revising", |
| "paws-x", |
| "bigscience/P3", |
| "blended_skill_talk", |
| "imagenet_sketch", |
| "klue", |
| "indonlp/NusaX-senti", |
| "persiannlp/parsinlu_translation_en_fa", |
| "re_dial", |
| "indonesian-nlp/mc4-id", |
| "swda", |
| "orange_sum", |
| "tner/ontonotes5", |
| "catalonia_independence", |
| "narrativeqa", |
| "FIG-Loneliness/FIG-Loneliness", |
| "renumics/speech_commands_enrichment_only", |
| "relbert/lexical_relation_classification", |
| "xsum", |
| "HuggingFaceM4/COCO", |
| "the_pile_stack_exchange", |
| "tuple_ie", |
| "amttl", |
| "conceptual_captions", |
| "nomic-ai/gpt4all_prompt_generations", |
| "EleutherAI/pile", |
| "newsph", |
| "taskmaster3", |
| "seungheondoh/LP-MusicCaps-MC", |
| "sem_eval_2014_task_1", |
| "urdu_sentiment_corpus", |
| "brwac", |
| "allenai/qasper", |
| "turkic_xwmt", |
| "e2e_nlg", |
| "Short-Answer-Feedback/saf_communication_networks_english", |
| "hlgd", |
| "tner/conll2003", |
| "menyo20k_mt", |
| "xed_en_fi", |
| "persian_ner", |
| "EleutherAI/wikitext_document_level", |
| "the_pile_books3", |
| "eugenesiow/BSD100", |
| "oclar", |
| "poem_sentiment", |
| "lmqg/qa_squadshifts_synthetic", |
| "kinnews_kirnews", |
| "arxiv_dataset", |
| "laroseda", |
| "curiosity_dialogs", |
| "onestop_qa", |
| "climate_fever", |
| "jeanlee/kmhas_korean_hate_speech", |
| "gsarti/clean_mc4_it", |
| "domenicrosati/TruthfulQA", |
| "wiki_summary", |
| "GateNLP/broad_twitter_corpus", |
| "EduardoPacheco/FoodSeg103", |
| "eli5", |
| "seungheondoh/LP-MusicCaps-MSD", |
| "duorc", |
| "wiki_split", |
| "lambada" |
| ] |
