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test_dataset_cards.json

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+[
+    "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"
+]