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Upload DebertaV2ForSequenceClassification

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  1. config.json +207 -161
  2. pytorch_model.bin +2 -2
config.json CHANGED
@@ -30,9 +30,9 @@
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@@ -490,6 +486,33 @@
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  2,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
493
  2,
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  3,
@@ -554,17 +577,17 @@
554
  "scitail/snli_format",
555
  "hans",
556
  "WANLI",
557
- "recast/recast_ner",
558
- "recast/recast_sentiment",
559
  "recast/recast_megaveridicality",
 
560
  "recast/recast_verbnet",
561
- "recast/recast_puns",
562
  "recast/recast_kg_relations",
563
- "recast/recast_verbcorner",
564
  "recast/recast_factuality",
 
 
565
  "probability_words_nli/usnli",
566
- "probability_words_nli/reasoning_2hop",
567
  "probability_words_nli/reasoning_1hop",
 
568
  "nan-nli/joey234--nan-nli",
569
  "nli_fever",
570
  "breaking_nli",
@@ -588,13 +611,13 @@
588
  "robust_nli_is_sd",
589
  "robust_nli_li_ts",
590
  "add_one_rte",
 
 
 
591
  "imppres/implicature_gradable_verb/log",
 
592
  "imppres/implicature_quantifiers/log",
593
  "imppres/implicature_connectives/log",
594
- "imppres/implicature_numerals_2_3/log",
595
- "imppres/implicature_numerals_10_100/log",
596
- "imppres/implicature_gradable_adjective/log",
597
- "imppres/implicature_modals/log",
598
  "glue_diagnostics/diagnostics",
599
  "hlgd",
600
  "paws/labeled_final",
@@ -603,110 +626,109 @@
603
  "conll2003/pos_tags",
604
  "conll2003/chunk_tags",
605
  "conll2003/ner_tags",
606
- "hh-rlhf",
607
  "model-written-evals",
608
  "truthful_qa/multiple_choice",
609
  "fig-qa",
610
- "bigbench/undo_permutation",
611
- "bigbench/misconceptions",
612
- "bigbench/temporal_sequences",
613
- "bigbench/authorship_verification",
614
- "bigbench/logic_grid_puzzle",
615
- "bigbench/ruin_names",
616
- "bigbench/entailed_polarity",
617
- "bigbench/similarities_abstraction",
618
- "bigbench/fantasy_reasoning",
619
- "bigbench/unit_interpretation",
620
- "bigbench/abstract_narrative_understanding",
621
- "bigbench/crass_ai",
622
- "bigbench/epistemic_reasoning",
623
- "bigbench/navigate",
624
- "bigbench/fact_checker",
625
- "bigbench/conceptual_combinations",
626
- "bigbench/penguins_in_a_table",
627
- "bigbench/discourse_marker_prediction",
628
- "bigbench/snarks",
629
- "bigbench/emoji_movie",
630
- "bigbench/presuppositions_as_nli",
631
- "bigbench/figure_of_speech_detection",
632
- "bigbench/contextual_parametric_knowledge_conflicts",
633
- "bigbench/crash_blossom",
634
- "bigbench/physics",
635
- "bigbench/timedial",
636
- "bigbench/strategyqa",
637
  "bigbench/tracking_shuffled_objects",
638
- "bigbench/vitaminc_fact_verification",
639
- "bigbench/understanding_fables",
640
- "bigbench/dyck_languages",
641
- "bigbench/question_selection",
642
- "bigbench/gre_reading_comprehension",
643
- "bigbench/anachronisms",
644
- "bigbench/physical_intuition",
645
- "bigbench/implicit_relations",
646
  "bigbench/color",
647
- "bigbench/human_organs_senses",
648
- "bigbench/logical_args",
649
- "bigbench/identify_math_theorems",
650
- "bigbench/emojis_emotion_prediction",
651
- "bigbench/logical_deduction",
652
- "bigbench/formal_fallacies_syllogisms_negation",
653
- "bigbench/hindu_knowledge",
654
- "bigbench/hhh_alignment",
655
  "bigbench/cause_and_effect",
656
- "bigbench/mathematical_induction",
 
 
657
  "bigbench/arithmetic",
658
- "bigbench/real_or_fake_text",
659
- "bigbench/analogical_similarity",
 
 
 
 
660
  "bigbench/english_proverbs",
661
- "bigbench/cifar10_classification",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
662
  "bigbench/intent_recognition",
663
- "bigbench/riddle_sense",
664
- "bigbench/moral_permissibility",
 
 
 
 
 
 
 
 
665
  "bigbench/known_unknowns",
666
- "bigbench/evaluating_information_essentiality",
 
 
 
 
667
  "bigbench/dark_humor_detection",
 
 
 
 
 
668
  "bigbench/metaphor_boolean",
669
- "bigbench/general_knowledge",
670
- "bigbench/analytic_entailment",
671
  "bigbench/sentence_ambiguity",
672
- "bigbench/movie_dialog_same_or_different",
673
- "bigbench/disambiguation_qa",
674
- "bigbench/social_support",
675
  "bigbench/cs_algorithms",
676
- "bigbench/implicatures",
 
 
 
 
677
  "bigbench/hyperbaton",
678
- "bigbench/movie_recommendation",
679
- "bigbench/suicide_risk",
680
- "bigbench/goal_step_wikihow",
681
- "bigbench/novel_concepts",
682
- "bigbench/odd_one_out",
683
- "bigbench/identify_odd_metaphor",
684
- "bigbench/international_phonetic_alphabet_nli",
685
- "bigbench/elementary_math_qa",
686
- "bigbench/play_dialog_same_or_different",
687
- "bigbench/salient_translation_error_detection",
688
- "bigbench/winowhy",
689
- "bigbench/simple_ethical_questions",
690
  "bigbench/mnist_ascii",
 
 
 
 
 
691
  "bigbench/date_understanding",
692
  "bigbench/metaphor_understanding",
693
- "bigbench/logical_fallacy_detection",
694
- "bigbench/strange_stories",
695
- "bigbench/geometric_shapes",
696
- "bigbench/irony_identification",
697
- "bigbench/social_iqa",
698
- "bigbench/reasoning_about_colored_objects",
 
 
 
 
 
 
 
 
 
 
699
  "bigbench/checkmate_in_one",
700
- "bigbench/empirical_judgments",
701
- "bigbench/symbol_interpretation",
702
  "bigbench/bbq_lite_json",
703
- "bigbench/key_value_maps",
704
- "bigbench/logical_sequence",
705
- "bigbench/code_line_description",
706
- "bigbench/sports_understanding",
707
- "bigbench/phrase_relatedness",
708
- "bigbench/causal_judgment",
709
- "bigbench/nonsense_words_grammar",
710
  "cos_e/v1.0",
711
  "cosmos_qa",
712
  "dream",
@@ -745,46 +767,46 @@
745
  "rumoureval_2019/RumourEval2019",
746
  "ethos/binary",
747
  "ethos/multilabel",
 
 
 
748
  "tweet_eval/emotion",
749
  "tweet_eval/irony",
750
- "tweet_eval/offensive",
751
- "tweet_eval/sentiment",
752
  "tweet_eval/stance_abortion",
753
  "tweet_eval/stance_atheism",
754
  "tweet_eval/stance_climate",
755
  "tweet_eval/stance_feminist",
756
  "tweet_eval/stance_hillary",
757
- "tweet_eval/emoji",
758
- "tweet_eval/hate",
759
  "discovery/discovery",
760
- "pragmeval/emobank-valence",
761
  "pragmeval/switchboard",
762
- "pragmeval/emobank-dominance",
 
763
  "pragmeval/emobank-arousal",
 
764
  "pragmeval/squinky-formality",
765
  "pragmeval/squinky-implicature",
766
- "pragmeval/squinky-informativeness",
767
- "pragmeval/mrda",
768
- "pragmeval/verifiability",
769
- "pragmeval/pdtb",
770
  "pragmeval/persuasiveness-claimtype",
771
  "pragmeval/persuasiveness-eloquence",
 
 
 
 
 
772
  "pragmeval/persuasiveness-premisetype",
773
- "pragmeval/gum",
774
  "pragmeval/stac",
775
- "pragmeval/persuasiveness-specificity",
776
- "pragmeval/persuasiveness-strength",
777
  "pragmeval/sarcasm",
778
- "pragmeval/persuasiveness-relevance",
779
- "pragmeval/emergent",
780
- "silicone/iemocap",
781
- "silicone/sem",
782
  "silicone/oasis",
783
- "silicone/meld_s",
784
  "silicone/meld_e",
 
785
  "silicone/maptask",
786
  "silicone/dyda_e",
787
  "silicone/dyda_da",
 
 
788
  "lex_glue/eurlex",
789
  "lex_glue/scotus",
790
  "lex_glue/ledgar",
@@ -814,29 +836,29 @@
814
  "go_emotions/simplified",
815
  "scicite",
816
  "liar",
817
- "lexical_relation_classification/BLESS",
818
  "lexical_relation_classification/EVALution",
819
  "lexical_relation_classification/ROOT09",
820
- "lexical_relation_classification/CogALexV",
821
  "lexical_relation_classification/K&H+N",
822
- "linguisticprobing/bigram_shift",
823
- "linguisticprobing/top_constituents",
824
- "linguisticprobing/subj_number",
825
  "linguisticprobing/odd_man_out",
 
826
  "linguisticprobing/coordination_inversion",
827
  "linguisticprobing/obj_number",
 
828
  "linguisticprobing/past_present",
829
  "linguisticprobing/sentence_length",
830
- "linguisticprobing/tree_depth",
831
- "crowdflower/tweet_global_warming",
832
- "crowdflower/text_emotion",
833
  "crowdflower/political-media-message",
834
- "crowdflower/political-media-bias",
 
 
835
  "crowdflower/airline-sentiment",
 
836
  "crowdflower/sentiment_nuclear_power",
837
  "crowdflower/political-media-audience",
838
- "crowdflower/economic-news",
839
- "crowdflower/corporate-messaging",
840
  "ethics/commonsense",
841
  "ethics/deontology",
842
  "ethics/justice",
@@ -852,7 +874,6 @@
852
  "ontonotes_english/SpeedOfMagic--ontonotes_english",
853
  "blog_authorship_corpus/gender",
854
  "blog_authorship_corpus/age",
855
- "blog_authorship_corpus/horoscope",
856
  "blog_authorship_corpus/job",
857
  "open_question_type",
858
  "health_fact",
@@ -900,8 +921,8 @@
900
  "scruples",
901
  "wouldyourather",
902
  "attempto-nli",
903
- "defeasible-nli/snli",
904
  "defeasible-nli/atomic",
 
905
  "help-nli",
906
  "nli-veridicality-transitivity",
907
  "natural-language-satisfiability",
@@ -946,15 +967,14 @@
946
  "chaos-mnli-ambiguity",
947
  "headline_cause/en_simple",
948
  "logiqa-2.0-nli",
949
- "oasst1_dense_flat/quality",
950
- "oasst1_dense_flat/toxicity",
951
- "oasst1_dense_flat/helpfulness",
952
- "PARARULE-Plus",
953
  "mindgames",
954
- "universal_dependencies/en_gum/deprel",
955
- "universal_dependencies/en_ewt/deprel",
956
  "universal_dependencies/en_partut/deprel",
957
  "universal_dependencies/en_lines/deprel",
 
 
958
  "ambient",
959
  "path-naturalness-prediction",
960
  "civil_comments/toxicity",
@@ -966,7 +986,6 @@
966
  "civil_comments/sexual_explicit",
967
  "cloth",
968
  "dgen",
969
- "oasst1_pairwise_rlhf_reward",
970
  "I2D2",
971
  "args_me",
972
  "Touche23-ValueEval",
@@ -998,7 +1017,7 @@
998
  "TroFi",
999
  "sharc_modified/mod",
1000
  "conceptrules_v2",
1001
- "disrpt/eng.dep.scidtb",
1002
  "conll2000",
1003
  "few-nerd/supervised",
1004
  "finer-139",
@@ -1017,6 +1036,33 @@
1017
  "propsegment/nli",
1018
  "HatemojiBuild",
1019
  "regset",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1020
  "babi_nli",
1021
  "gen_debiased_nli",
1022
  "imppres/presupposition",
@@ -1025,7 +1071,7 @@
1025
  "mmlu-4"
1026
  ],
1027
  "torch_dtype": "float32",
1028
- "transformers_version": "4.26.1",
1029
  "type_vocab_size": 0,
1030
  "vocab_size": 128100
1031
  }
 
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+ 51,
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  2,
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  2,
 
 
 
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+ 3,
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+ 8,
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+ 17,
 
 
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  100,
 
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+ 20,
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  2,
 
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+ 13,
 
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+ 3,
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+ 2,
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  4,
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  2,
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  2,
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+ 2,
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+ 2,
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  4,
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  1,
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  2,
 
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  37,
325
  2,
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  49,
 
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  40,
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  10,
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  4,
 
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  2,
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  1,
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  4,
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+ 3,
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  1,
363
  1,
364
  1,
 
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  1,
422
  1,
423
  2,
 
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  50,
425
  50,
426
  50,
 
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  1,
437
  1,
438
  1,
 
439
  2,
440
  2,
441
  2,
 
486
  3,
487
  2,
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  2,
489
+ 4,
490
+ 1,
491
+ 17,
492
+ 3,
493
+ 2,
494
+ 3,
495
+ 2,
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+ 3,
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+ 3,
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+ 2,
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+ 1,
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+ 1,
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+ 3,
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+ 1,
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+ 2,
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+ 2,
512
+ 3,
513
+ 2,
514
+ 3,
515
+ 4,
516
  2,
517
  3,
518
  3,
 
577
  "scitail/snli_format",
578
  "hans",
579
  "WANLI",
 
 
580
  "recast/recast_megaveridicality",
581
+ "recast/recast_sentiment",
582
  "recast/recast_verbnet",
 
583
  "recast/recast_kg_relations",
584
+ "recast/recast_puns",
585
  "recast/recast_factuality",
586
+ "recast/recast_verbcorner",
587
+ "recast/recast_ner",
588
  "probability_words_nli/usnli",
 
589
  "probability_words_nli/reasoning_1hop",
590
+ "probability_words_nli/reasoning_2hop",
591
  "nan-nli/joey234--nan-nli",
592
  "nli_fever",
593
  "breaking_nli",
 
611
  "robust_nli_is_sd",
612
  "robust_nli_li_ts",
613
  "add_one_rte",
614
+ "imppres/implicature_gradable_adjective/log",
615
+ "imppres/implicature_numerals_2_3/log",
616
+ "imppres/implicature_modals/log",
617
  "imppres/implicature_gradable_verb/log",
618
+ "imppres/implicature_numerals_10_100/log",
619
  "imppres/implicature_quantifiers/log",
620
  "imppres/implicature_connectives/log",
 
 
 
 
621
  "glue_diagnostics/diagnostics",
622
  "hlgd",
623
  "paws/labeled_final",
 
626
  "conll2003/pos_tags",
627
  "conll2003/chunk_tags",
628
  "conll2003/ner_tags",
 
629
  "model-written-evals",
630
  "truthful_qa/multiple_choice",
631
  "fig-qa",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
632
  "bigbench/tracking_shuffled_objects",
 
 
 
 
 
 
 
 
633
  "bigbench/color",
 
 
 
 
 
 
 
 
634
  "bigbench/cause_and_effect",
635
+ "bigbench/dyck_languages",
636
+ "bigbench/identify_math_theorems",
637
+ "bigbench/unit_interpretation",
638
  "bigbench/arithmetic",
639
+ "bigbench/social_iqa",
640
+ "bigbench/penguins_in_a_table",
641
+ "bigbench/play_dialog_same_or_different",
642
+ "bigbench/novel_concepts",
643
+ "bigbench/international_phonetic_alphabet_nli",
644
+ "bigbench/implicatures",
645
  "bigbench/english_proverbs",
646
+ "bigbench/simple_ethical_questions",
647
+ "bigbench/sports_understanding",
648
+ "bigbench/emoji_movie",
649
+ "bigbench/implicit_relations",
650
+ "bigbench/empirical_judgments",
651
+ "bigbench/navigate",
652
+ "bigbench/logical_deduction",
653
+ "bigbench/reasoning_about_colored_objects",
654
+ "bigbench/snarks",
655
+ "bigbench/gre_reading_comprehension",
656
+ "bigbench/ruin_names",
657
+ "bigbench/analytic_entailment",
658
+ "bigbench/authorship_verification",
659
+ "bigbench/code_line_description",
660
+ "bigbench/logical_sequence",
661
+ "bigbench/disambiguation_qa",
662
+ "bigbench/misconceptions",
663
+ "bigbench/understanding_fables",
664
  "bigbench/intent_recognition",
665
+ "bigbench/odd_one_out",
666
+ "bigbench/temporal_sequences",
667
+ "bigbench/analogical_similarity",
668
+ "bigbench/emojis_emotion_prediction",
669
+ "bigbench/key_value_maps",
670
+ "bigbench/identify_odd_metaphor",
671
+ "bigbench/geometric_shapes",
672
+ "bigbench/suicide_risk",
673
+ "bigbench/strategyqa",
674
+ "bigbench/logical_fallacy_detection",
675
  "bigbench/known_unknowns",
676
+ "bigbench/social_support",
677
+ "bigbench/logic_grid_puzzle",
678
+ "bigbench/question_selection",
679
+ "bigbench/fact_checker",
680
+ "bigbench/moral_permissibility",
681
  "bigbench/dark_humor_detection",
682
+ "bigbench/mathematical_induction",
683
+ "bigbench/movie_recommendation",
684
+ "bigbench/human_organs_senses",
685
+ "bigbench/vitaminc_fact_verification",
686
+ "bigbench/movie_dialog_same_or_different",
687
  "bigbench/metaphor_boolean",
688
+ "bigbench/causal_judgment",
689
+ "bigbench/epistemic_reasoning",
690
  "bigbench/sentence_ambiguity",
691
+ "bigbench/logical_args",
692
+ "bigbench/hindu_knowledge",
 
693
  "bigbench/cs_algorithms",
694
+ "bigbench/hhh_alignment",
695
+ "bigbench/physical_intuition",
696
+ "bigbench/crash_blossom",
697
+ "bigbench/cifar10_classification",
698
+ "bigbench/riddle_sense",
699
  "bigbench/hyperbaton",
700
+ "bigbench/general_knowledge",
701
+ "bigbench/anachronisms",
702
+ "bigbench/entailed_polarity",
703
+ "bigbench/nonsense_words_grammar",
 
 
 
 
 
 
 
 
704
  "bigbench/mnist_ascii",
705
+ "bigbench/symbol_interpretation",
706
+ "bigbench/figure_of_speech_detection",
707
+ "bigbench/abstract_narrative_understanding",
708
+ "bigbench/irony_identification",
709
+ "bigbench/discourse_marker_prediction",
710
  "bigbench/date_understanding",
711
  "bigbench/metaphor_understanding",
712
+ "bigbench/goal_step_wikihow",
713
+ "bigbench/similarities_abstraction",
714
+ "bigbench/salient_translation_error_detection",
715
+ "bigbench/formal_fallacies_syllogisms_negation",
716
+ "bigbench/presuppositions_as_nli",
717
+ "bigbench/fantasy_reasoning",
718
+ "bigbench/contextual_parametric_knowledge_conflicts",
719
+ "bigbench/evaluating_information_essentiality",
720
+ "bigbench/real_or_fake_text",
721
+ "bigbench/conceptual_combinations",
722
+ "bigbench/phrase_relatedness",
723
+ "bigbench/crass_ai",
724
+ "bigbench/undo_permutation",
725
+ "bigbench/physics",
726
+ "bigbench/timedial",
727
+ "bigbench/winowhy",
728
  "bigbench/checkmate_in_one",
 
 
729
  "bigbench/bbq_lite_json",
730
+ "bigbench/strange_stories",
731
+ "bigbench/elementary_math_qa",
 
 
 
 
 
732
  "cos_e/v1.0",
733
  "cosmos_qa",
734
  "dream",
 
767
  "rumoureval_2019/RumourEval2019",
768
  "ethos/binary",
769
  "ethos/multilabel",
770
+ "tweet_eval/sentiment",
771
+ "tweet_eval/offensive",
772
+ "tweet_eval/emoji",
773
  "tweet_eval/emotion",
774
  "tweet_eval/irony",
775
+ "tweet_eval/hate",
 
776
  "tweet_eval/stance_abortion",
777
  "tweet_eval/stance_atheism",
778
  "tweet_eval/stance_climate",
779
  "tweet_eval/stance_feminist",
780
  "tweet_eval/stance_hillary",
 
 
781
  "discovery/discovery",
782
+ "pragmeval/squinky-informativeness",
783
  "pragmeval/switchboard",
784
+ "pragmeval/mrda",
785
+ "pragmeval/verifiability",
786
  "pragmeval/emobank-arousal",
787
+ "pragmeval/emobank-dominance",
788
  "pragmeval/squinky-formality",
789
  "pragmeval/squinky-implicature",
790
+ "pragmeval/emobank-valence",
 
 
 
791
  "pragmeval/persuasiveness-claimtype",
792
  "pragmeval/persuasiveness-eloquence",
793
+ "pragmeval/emergent",
794
+ "pragmeval/pdtb",
795
+ "pragmeval/persuasiveness-strength",
796
+ "pragmeval/persuasiveness-relevance",
797
+ "pragmeval/persuasiveness-specificity",
798
  "pragmeval/persuasiveness-premisetype",
 
799
  "pragmeval/stac",
 
 
800
  "pragmeval/sarcasm",
801
+ "pragmeval/gum",
 
 
 
802
  "silicone/oasis",
 
803
  "silicone/meld_e",
804
+ "silicone/meld_s",
805
  "silicone/maptask",
806
  "silicone/dyda_e",
807
  "silicone/dyda_da",
808
+ "silicone/iemocap",
809
+ "silicone/sem",
810
  "lex_glue/eurlex",
811
  "lex_glue/scotus",
812
  "lex_glue/ledgar",
 
836
  "go_emotions/simplified",
837
  "scicite",
838
  "liar",
839
+ "lexical_relation_classification/CogALexV",
840
  "lexical_relation_classification/EVALution",
841
  "lexical_relation_classification/ROOT09",
842
+ "lexical_relation_classification/BLESS",
843
  "lexical_relation_classification/K&H+N",
 
 
 
844
  "linguisticprobing/odd_man_out",
845
+ "linguisticprobing/tree_depth",
846
  "linguisticprobing/coordination_inversion",
847
  "linguisticprobing/obj_number",
848
+ "linguisticprobing/bigram_shift",
849
  "linguisticprobing/past_present",
850
  "linguisticprobing/sentence_length",
851
+ "linguisticprobing/top_constituents",
852
+ "linguisticprobing/subj_number",
 
853
  "crowdflower/political-media-message",
854
+ "crowdflower/text_emotion",
855
+ "crowdflower/corporate-messaging",
856
+ "crowdflower/economic-news",
857
  "crowdflower/airline-sentiment",
858
+ "crowdflower/tweet_global_warming",
859
  "crowdflower/sentiment_nuclear_power",
860
  "crowdflower/political-media-audience",
861
+ "crowdflower/political-media-bias",
 
862
  "ethics/commonsense",
863
  "ethics/deontology",
864
  "ethics/justice",
 
874
  "ontonotes_english/SpeedOfMagic--ontonotes_english",
875
  "blog_authorship_corpus/gender",
876
  "blog_authorship_corpus/age",
 
877
  "blog_authorship_corpus/job",
878
  "open_question_type",
879
  "health_fact",
 
921
  "scruples",
922
  "wouldyourather",
923
  "attempto-nli",
 
924
  "defeasible-nli/atomic",
925
+ "defeasible-nli/snli",
926
  "help-nli",
927
  "nli-veridicality-transitivity",
928
  "natural-language-satisfiability",
 
967
  "chaos-mnli-ambiguity",
968
  "headline_cause/en_simple",
969
  "logiqa-2.0-nli",
970
+ "oasst2_dense_flat/quality",
971
+ "oasst2_dense_flat/toxicity",
972
+ "oasst2_dense_flat/helpfulness",
 
973
  "mindgames",
 
 
974
  "universal_dependencies/en_partut/deprel",
975
  "universal_dependencies/en_lines/deprel",
976
+ "universal_dependencies/en_ewt/deprel",
977
+ "universal_dependencies/en_gum/deprel",
978
  "ambient",
979
  "path-naturalness-prediction",
980
  "civil_comments/toxicity",
 
986
  "civil_comments/sexual_explicit",
987
  "cloth",
988
  "dgen",
 
989
  "I2D2",
990
  "args_me",
991
  "Touche23-ValueEval",
 
1017
  "TroFi",
1018
  "sharc_modified/mod",
1019
  "conceptrules_v2",
1020
+ "disrpt/eng.dep.scidtb.rels",
1021
  "conll2000",
1022
  "few-nerd/supervised",
1023
  "finer-139",
 
1036
  "propsegment/nli",
1037
  "HatemojiBuild",
1038
  "regset",
1039
+ "esci",
1040
+ "chatbot_arena_conversations",
1041
+ "dnd_style_intents",
1042
+ "FLD.v2",
1043
+ "SDOH-NLI",
1044
+ "scifact_entailment",
1045
+ "feasibilityQA",
1046
+ "simple_pair",
1047
+ "AdjectiveScaleProbe-nli",
1048
+ "resnli",
1049
+ "SpaRTUN",
1050
+ "ReSQ",
1051
+ "semantic_fragments_nli",
1052
+ "dataset_train_nli",
1053
+ "stepgame",
1054
+ "nlgraph",
1055
+ "oasst2_pairwise_rlhf_reward",
1056
+ "hh-rlhf/helpful-online",
1057
+ "hh-rlhf/helpful-base",
1058
+ "hh-rlhf/helpful-rejection-sampled",
1059
+ "hh-rlhf/harmless-base",
1060
+ "ruletaker",
1061
+ "PARARULE-Plus",
1062
+ "proofwriter",
1063
+ "logical-entailment",
1064
+ "nope",
1065
+ "LogicNLI",
1066
  "babi_nli",
1067
  "gen_debiased_nli",
1068
  "imppres/presupposition",
 
1071
  "mmlu-4"
1072
  ],
1073
  "torch_dtype": "float32",
1074
+ "transformers_version": "4.34.1",
1075
  "type_vocab_size": 0,
1076
  "vocab_size": 128100
1077
  }
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