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+ "bigbench/tracking_shuffled_objects",
702
+ "bigbench/unit_interpretation",
703
+ "bigbench/reasoning_about_colored_objects",
704
+ "bigbench/discourse_marker_prediction",
705
+ "bigbench/logical_fallacy_detection",
706
+ "bigbench/general_knowledge",
707
+ "bigbench/abstract_narrative_understanding",
708
+ "bigbench/color",
709
+ "bigbench/hyperbaton",
710
+ "bigbench/logical_sequence",
711
+ "bigbench/mnist_ascii",
712
+ "bigbench/fantasy_reasoning",
713
+ "bigbench/mathematical_induction",
714
+ "bigbench/timedial",
715
+ "bigbench/identify_math_theorems",
716
+ "bigbench/checkmate_in_one",
717
+ "bigbench/phrase_relatedness",
718
+ "bigbench/ruin_names",
719
+ "bigbench/gre_reading_comprehension",
720
+ "bigbench/metaphor_boolean",
721
+ "bigbench/sentence_ambiguity",
722
+ "bigbench/vitaminc_fact_verification",
723
+ "bigbench/evaluating_information_essentiality",
724
+ "cos_e/v1.0",
725
+ "cosmos_qa",
726
+ "dream",
727
+ "openbookqa",
728
+ "qasc",
729
+ "quartz",
730
+ "quail",
731
+ "head_qa/en",
732
+ "sciq",
733
+ "social_i_qa",
734
+ "wiki_hop/original",
735
+ "wiqa",
736
+ "piqa",
737
+ "hellaswag",
738
+ "super_glue/copa",
739
+ "balanced-copa",
740
+ "e-CARE",
741
+ "art",
742
+ "winogrande/winogrande_xl",
743
+ "codah/codah",
744
+ "ai2_arc/ARC-Challenge/challenge",
745
+ "ai2_arc/ARC-Easy/challenge",
746
+ "definite_pronoun_resolution",
747
+ "swag/regular",
748
+ "math_qa",
749
+ "glue/cola",
750
+ "glue/sst2",
751
+ "utilitarianism",
752
+ "amazon_counterfactual/en",
753
+ "insincere-questions",
754
+ "toxic_conversations",
755
+ "TuringBench",
756
+ "trec",
757
+ "vitaminc/tals--vitaminc",
758
+ "hope_edi/english",
759
+ "rumoureval_2019/RumourEval2019",
760
+ "ethos/binary",
761
+ "ethos/multilabel",
762
+ "tweet_eval/sentiment",
763
+ "tweet_eval/irony",
764
+ "tweet_eval/offensive",
765
+ "tweet_eval/hate",
766
+ "tweet_eval/emotion",
767
+ "tweet_eval/emoji",
768
+ "tweet_eval/stance_abortion",
769
+ "tweet_eval/stance_atheism",
770
+ "tweet_eval/stance_climate",
771
+ "tweet_eval/stance_feminist",
772
+ "tweet_eval/stance_hillary",
773
+ "discovery/discovery",
774
+ "pragmeval/squinky-informativeness",
775
+ "pragmeval/emobank-arousal",
776
+ "pragmeval/switchboard",
777
+ "pragmeval/squinky-implicature",
778
+ "pragmeval/emobank-valence",
779
+ "pragmeval/mrda",
780
+ "pragmeval/squinky-formality",
781
+ "pragmeval/verifiability",
782
+ "pragmeval/emobank-dominance",
783
+ "pragmeval/persuasiveness-specificity",
784
+ "pragmeval/persuasiveness-strength",
785
+ "pragmeval/persuasiveness-claimtype",
786
+ "pragmeval/pdtb",
787
+ "pragmeval/sarcasm",
788
+ "pragmeval/stac",
789
+ "pragmeval/persuasiveness-premisetype",
790
+ "pragmeval/persuasiveness-eloquence",
791
+ "pragmeval/gum",
792
+ "pragmeval/emergent",
793
+ "pragmeval/persuasiveness-relevance",
794
+ "silicone/dyda_da",
795
+ "silicone/dyda_e",
796
+ "silicone/maptask",
797
+ "silicone/meld_e",
798
+ "silicone/meld_s",
799
+ "silicone/sem",
800
+ "silicone/oasis",
801
+ "silicone/iemocap",
802
+ "lex_glue/eurlex",
803
+ "lex_glue/scotus",
804
+ "lex_glue/ledgar",
805
+ "lex_glue/unfair_tos",
806
+ "lex_glue/case_hold",
807
+ "language-identification",
808
+ "imdb",
809
+ "rotten_tomatoes",
810
+ "ag_news",
811
+ "yelp_review_full/yelp_review_full",
812
+ "financial_phrasebank/sentences_allagree",
813
+ "poem_sentiment",
814
+ "dbpedia_14/dbpedia_14",
815
+ "amazon_polarity/amazon_polarity",
816
+ "app_reviews",
817
+ "hate_speech18",
818
+ "sms_spam",
819
+ "humicroedit/subtask-1",
820
+ "humicroedit/subtask-2",
821
+ "snips_built_in_intents",
822
+ "hate_speech_offensive",
823
+ "yahoo_answers_topics",
824
+ "stackoverflow-questions",
825
+ "hyperpartisan_news",
826
+ "sciie",
827
+ "citation_intent",
828
+ "go_emotions/simplified",
829
+ "scicite",
830
+ "liar",
831
+ "lexical_relation_classification/ROOT09",
832
+ "lexical_relation_classification/BLESS",
833
+ "lexical_relation_classification/CogALexV",
834
+ "lexical_relation_classification/EVALution",
835
+ "lexical_relation_classification/K&H+N",
836
+ "linguisticprobing/coordination_inversion",
837
+ "linguisticprobing/obj_number",
838
+ "linguisticprobing/past_present",
839
+ "linguisticprobing/sentence_length",
840
+ "linguisticprobing/subj_number",
841
+ "linguisticprobing/odd_man_out",
842
+ "linguisticprobing/tree_depth",
843
+ "linguisticprobing/top_constituents",
844
+ "linguisticprobing/bigram_shift",
845
+ "crowdflower/political-media-message",
846
+ "crowdflower/political-media-audience",
847
+ "crowdflower/economic-news",
848
+ "crowdflower/text_emotion",
849
+ "crowdflower/political-media-bias",
850
+ "crowdflower/airline-sentiment",
851
+ "crowdflower/tweet_global_warming",
852
+ "crowdflower/corporate-messaging",
853
+ "crowdflower/sentiment_nuclear_power",
854
+ "ethics/commonsense",
855
+ "ethics/deontology",
856
+ "ethics/justice",
857
+ "ethics/virtue",
858
+ "emo/emo2019",
859
+ "google_wellformed_query",
860
+ "tweets_hate_speech_detection",
861
+ "has_part",
862
+ "wnut_17/wnut_17",
863
+ "ncbi_disease/ncbi_disease",
864
+ "acronym_identification",
865
+ "jnlpba/jnlpba",
866
+ "ontonotes_english/SpeedOfMagic--ontonotes_english",
867
+ "blog_authorship_corpus/gender",
868
+ "blog_authorship_corpus/age",
869
+ "blog_authorship_corpus/job",
870
+ "open_question_type",
871
+ "health_fact",
872
+ "commonsense_qa",
873
+ "mc_taco",
874
+ "ade_corpus_v2/Ade_corpus_v2_classification",
875
+ "discosense",
876
+ "circa",
877
+ "phrase_similarity",
878
+ "scientific-exaggeration-detection",
879
+ "quarel",
880
+ "fever-evidence-related/mwong--fever-related",
881
+ "numer_sense",
882
+ "dynasent/dynabench.dynasent.r1.all/r1",
883
+ "dynasent/dynabench.dynasent.r2.all/r2",
884
+ "Sarcasm_News_Headline",
885
+ "sem_eval_2010_task_8",
886
+ "auditor_review/demo-org--auditor_review",
887
+ "medmcqa",
888
+ "Dynasent_Disagreement",
889
+ "Politeness_Disagreement",
890
+ "SBIC_Disagreement",
891
+ "SChem_Disagreement",
892
+ "Dilemmas_Disagreement",
893
+ "logiqa",
894
+ "wiki_qa",
895
+ "cycic_classification",
896
+ "cycic_multiplechoice",
897
+ "sts-companion",
898
+ "commonsense_qa_2.0",
899
+ "lingnli",
900
+ "monotonicity-entailment",
901
+ "arct",
902
+ "scinli",
903
+ "naturallogic",
904
+ "onestop_qa",
905
+ "moral_stories/full",
906
+ "prost",
907
+ "dynahate",
908
+ "syntactic-augmentation-nli",
909
+ "autotnli",
910
+ "CONDAQA",
911
+ "webgpt_comparisons",
912
+ "synthetic-instruct-gptj-pairwise",
913
+ "scruples",
914
+ "wouldyourather",
915
+ "attempto-nli",
916
+ "defeasible-nli/snli",
917
+ "defeasible-nli/atomic",
918
+ "help-nli",
919
+ "nli-veridicality-transitivity",
920
+ "natural-language-satisfiability",
921
+ "lonli",
922
+ "dadc-limit-nli",
923
+ "FLUTE",
924
+ "strategy-qa",
925
+ "summarize_from_feedback/comparisons",
926
+ "folio",
927
+ "tomi-nli",
928
+ "avicenna",
929
+ "SHP",
930
+ "MedQA-USMLE-4-options-hf",
931
+ "wikimedqa/medwiki",
932
+ "cicero",
933
+ "CREAK",
934
+ "mutual",
935
+ "NeQA",
936
+ "quote-repetition",
937
+ "redefine-math",
938
+ "puzzte",
939
+ "implicatures",
940
+ "race/high",
941
+ "race/middle",
942
+ "race-c",
943
+ "spartqa-yn",
944
+ "spartqa-mchoice",
945
+ "temporal-nli",
946
+ "riddle_sense",
947
+ "clcd-english",
948
+ "twentyquestions",
949
+ "reclor",
950
+ "counterfactually-augmented-imdb",
951
+ "counterfactually-augmented-snli",
952
+ "cnli",
953
+ "boolq-natural-perturbations",
954
+ "acceptability-prediction",
955
+ "equate",
956
+ "ScienceQA_text_only",
957
+ "ekar_english",
958
+ "implicit-hate-stg1",
959
+ "chaos-mnli-ambiguity",
960
+ "headline_cause/en_simple",
961
+ "logiqa-2.0-nli",
962
+ "oasst1_dense_flat/quality",
963
+ "oasst1_dense_flat/toxicity",
964
+ "oasst1_dense_flat/helpfulness",
965
+ "PARARULE-Plus",
966
+ "mindgames",
967
+ "universal_dependencies/en_lines/deprel",
968
+ "universal_dependencies/en_partut/deprel",
969
+ "universal_dependencies/en_ewt/deprel",
970
+ "universal_dependencies/en_gum/deprel",
971
+ "ambient",
972
+ "path-naturalness-prediction",
973
+ "civil_comments/toxicity",
974
+ "civil_comments/severe_toxicity",
975
+ "civil_comments/obscene",
976
+ "civil_comments/threat",
977
+ "civil_comments/insult",
978
+ "civil_comments/identity_attack",
979
+ "civil_comments/sexual_explicit",
980
+ "cloth",
981
+ "dgen",
982
+ "oasst1_pairwise_rlhf_reward",
983
+ "I2D2",
984
+ "args_me",
985
+ "Touche23-ValueEval",
986
+ "starcon",
987
+ "banking77",
988
+ "ruletaker",
989
+ "lsat_qa/all",
990
+ "ConTRoL-nli",
991
+ "tracie",
992
+ "sherliic",
993
+ "sen-making/1",
994
+ "sen-making/2",
995
+ "winowhy",
996
+ "mbib-base/cognitive-bias",
997
+ "mbib-base/fake-news",
998
+ "mbib-base/gender-bias",
999
+ "mbib-base/hate-speech",
1000
+ "mbib-base/linguistic-bias",
1001
+ "mbib-base/political-bias",
1002
+ "mbib-base/racial-bias",
1003
+ "mbib-base/text-level-bias",
1004
+ "robustLR",
1005
+ "v1/gen_train234_test2to10",
1006
+ "logical-fallacy",
1007
+ "parade",
1008
+ "cladder",
1009
+ "subjectivity",
1010
+ "MOH",
1011
+ "VUAC",
1012
+ "TroFi",
1013
+ "sharc_modified/mod",
1014
+ "conceptrules_v2",
1015
+ "disrpt/eng.dep.scidtb.rels",
1016
+ "conll2000",
1017
+ "few-nerd/supervised",
1018
+ "finer-139",
1019
+ "zero-shot-label-nli",
1020
+ "com2sense",
1021
+ "scone",
1022
+ "winodict",
1023
+ "fool-me-twice",
1024
+ "monli",
1025
+ "corr2cause",
1026
+ "lsat_qa/all",
1027
+ "apt",
1028
+ "twitter-financial-news-sentiment",
1029
+ "icl-symbol-tuning-instruct",
1030
+ "SpaceNLI",
1031
+ "propsegment/nli",
1032
+ "HatemojiBuild",
1033
+ "regset",
1034
+ "esci",
1035
+ "chatbot_arena_conversations",
1036
+ "dnd_style_intents",
1037
+ "FLD.v2",
1038
+ "SDOH-NLI",
1039
+ "scifact_entailment",
1040
+ "feasibilityQA",
1041
+ "simple_pair",
1042
+ "AdjectiveScaleProbe-nli",
1043
+ "resnli",
1044
+ "SpaRTUN",
1045
+ "ReSQ",
1046
+ "semantic_fragments_nli",
1047
+ "dataset_train_nli",
1048
+ "babi_nli",
1049
+ "gen_debiased_nli",
1050
+ "imppres/presupposition",
1051
+ "/prag",
1052
+ "blimp-2",
1053
+ "mmlu-4"
1054
+ ],
1055
+ "torch_dtype": "float32",
1056
+ "transformers_version": "4.42.4",
1057
+ "type_vocab_size": 0,
1058
+ "vocab_size": 128100
1059
+ }