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  1. config.json +177 -159
  2. model.safetensors +2 -2
config.json CHANGED
@@ -1,5 +1,5 @@
1
  {
2
- "_name_or_path": "sileod/deberta-v3-base-tasksource-nli",
3
  "architectures": [
4
  "DebertaV2ForSequenceClassification"
5
  ],
@@ -28,9 +28,9 @@
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  2,
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  3,
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  2,
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- 6,
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@@ -204,7 +204,6 @@
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@@ -220,10 +219,10 @@
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  2,
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- 4,
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- 20,
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  3,
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  3,
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  3,
@@ -231,33 +230,33 @@
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  174,
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  2,
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  41,
 
 
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  2,
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- 51,
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- 3,
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  2,
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  2,
 
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  3,
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  16,
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  8,
 
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  17,
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- 3,
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- 2,
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- 4,
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  7,
 
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  12,
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  7,
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- 3,
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- 3,
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- 42,
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  11,
 
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  100,
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  13,
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  100,
@@ -287,29 +286,29 @@
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  28,
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  3,
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  6,
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- 3,
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- 6,
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  5,
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  7,
 
 
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  4,
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  2,
 
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  2,
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  2,
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- 6,
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  2,
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  2,
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- 7,
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  20,
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  2,
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  9,
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- 2,
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- 3,
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  13,
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- 2,
 
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  3,
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  2,
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  4,
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- 4,
 
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  2,
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  2,
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  2,
@@ -422,7 +421,6 @@
422
  1,
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  1,
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  2,
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- 2,
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  50,
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  50,
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  50,
@@ -438,13 +436,11 @@
438
  1,
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  1,
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  1,
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- 1,
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  2,
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  2,
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  2,
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  2,
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  77,
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- 2,
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  1,
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  3,
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@@ -504,6 +500,19 @@
504
  1,
505
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506
  2,
 
 
 
 
 
 
 
 
 
 
 
 
 
507
  2,
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  3,
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@@ -513,14 +522,14 @@
513
  ],
514
  "hidden_act": "gelu",
515
  "hidden_dropout_prob": 0.1,
516
- "hidden_size": 768,
517
  "id2label": {
518
  "0": "entailment",
519
  "1": "neutral",
520
  "2": "contradiction"
521
  },
522
  "initializer_range": 0.02,
523
- "intermediate_size": 3072,
524
  "label2id": {
525
  "contradiction": 2,
526
  "entailment": 0,
@@ -531,12 +540,12 @@
531
  "max_relative_positions": -1,
532
  "model_type": "deberta-v2",
533
  "norm_rel_ebd": "layer_norm",
534
- "num_attention_heads": 12,
535
- "num_hidden_layers": 12,
536
  "pad_token_id": 0,
537
  "pooler_dropout": 0,
538
  "pooler_hidden_act": "gelu",
539
- "pooler_hidden_size": 768,
540
  "pos_att_type": [
541
  "p2c",
542
  "c2p"
@@ -568,14 +577,14 @@
568
  "scitail/snli_format",
569
  "hans",
570
  "WANLI",
 
 
571
  "recast/recast_verbnet",
572
  "recast/recast_kg_relations",
573
- "recast/recast_ner",
574
- "recast/recast_factuality",
575
  "recast/recast_puns",
576
- "recast/recast_megaveridicality",
577
- "recast/recast_sentiment",
578
  "recast/recast_verbcorner",
 
579
  "probability_words_nli/usnli",
580
  "probability_words_nli/reasoning_1hop",
581
  "probability_words_nli/reasoning_2hop",
@@ -602,13 +611,13 @@
602
  "robust_nli_is_sd",
603
  "robust_nli_li_ts",
604
  "add_one_rte",
605
- "imppres/implicature_numerals_10_100/log",
606
- "imppres/implicature_connectives/log",
607
- "imppres/implicature_modals/log",
608
- "imppres/implicature_gradable_verb/log",
609
  "imppres/implicature_gradable_adjective/log",
610
  "imppres/implicature_numerals_2_3/log",
 
 
 
611
  "imppres/implicature_quantifiers/log",
 
612
  "glue_diagnostics/diagnostics",
613
  "hlgd",
614
  "paws/labeled_final",
@@ -617,110 +626,109 @@
617
  "conll2003/pos_tags",
618
  "conll2003/chunk_tags",
619
  "conll2003/ner_tags",
620
- "hh-rlhf",
621
  "model-written-evals",
622
  "truthful_qa/multiple_choice",
623
  "fig-qa",
624
- "bigbench/physical_intuition",
625
- "bigbench/authorship_verification",
626
- "bigbench/implicit_relations",
627
  "bigbench/dyck_languages",
 
 
 
 
 
 
628
  "bigbench/novel_concepts",
629
- "bigbench/moral_permissibility",
630
- "bigbench/metaphor_understanding",
631
- "bigbench/temporal_sequences",
 
632
  "bigbench/sports_understanding",
633
- "bigbench/analytic_entailment",
634
- "bigbench/social_support",
635
  "bigbench/emoji_movie",
636
- "bigbench/dark_humor_detection",
637
- "bigbench/suicide_risk",
638
- "bigbench/fact_checker",
639
- "bigbench/hhh_alignment",
640
- "bigbench/formal_fallacies_syllogisms_negation",
641
- "bigbench/bbq_lite_json",
642
- "bigbench/cause_and_effect",
643
- "bigbench/logic_grid_puzzle",
644
  "bigbench/empirical_judgments",
645
- "bigbench/human_organs_senses",
 
 
 
 
 
 
 
 
 
 
646
  "bigbench/misconceptions",
647
- "bigbench/strange_stories",
648
- "bigbench/logical_args",
649
- "bigbench/known_unknowns",
650
- "bigbench/cs_algorithms",
651
- "bigbench/emojis_emotion_prediction",
652
- "bigbench/cifar10_classification",
653
- "bigbench/penguins_in_a_table",
654
- "bigbench/odd_one_out",
655
  "bigbench/intent_recognition",
656
- "bigbench/physics",
657
- "bigbench/conceptual_combinations",
658
- "bigbench/logical_deduction",
659
- "bigbench/causal_judgment",
660
- "bigbench/winowhy",
661
- "bigbench/arithmetic",
662
- "bigbench/undo_permutation",
663
  "bigbench/analogical_similarity",
664
- "bigbench/social_iqa",
665
  "bigbench/key_value_maps",
666
- "bigbench/implicatures",
667
- "bigbench/real_or_fake_text",
668
- "bigbench/disambiguation_qa",
669
- "bigbench/similarities_abstraction",
 
 
 
 
 
 
 
 
 
 
 
 
670
  "bigbench/movie_dialog_same_or_different",
671
- "bigbench/english_proverbs",
672
- "bigbench/presuppositions_as_nli",
673
- "bigbench/entailed_polarity",
674
- "bigbench/snarks",
675
- "bigbench/goal_step_wikihow",
676
- "bigbench/crass_ai",
677
- "bigbench/play_dialog_same_or_different",
678
  "bigbench/hindu_knowledge",
679
- "bigbench/international_phonetic_alphabet_nli",
680
- "bigbench/understanding_fables",
681
- "bigbench/geometric_shapes",
682
- "bigbench/code_line_description",
 
683
  "bigbench/riddle_sense",
 
 
 
 
 
 
684
  "bigbench/symbol_interpretation",
 
 
685
  "bigbench/irony_identification",
686
- "bigbench/anachronisms",
687
- "bigbench/navigate",
688
- "bigbench/crash_blossom",
689
- "bigbench/identify_odd_metaphor",
690
- "bigbench/simple_ethical_questions",
691
- "bigbench/contextual_parametric_knowledge_conflicts",
692
  "bigbench/date_understanding",
693
- "bigbench/figure_of_speech_detection",
694
- "bigbench/question_selection",
695
- "bigbench/elementary_math_qa",
696
- "bigbench/nonsense_words_grammar",
697
  "bigbench/salient_translation_error_detection",
698
- "bigbench/epistemic_reasoning",
699
- "bigbench/movie_recommendation",
700
- "bigbench/strategyqa",
701
- "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",
@@ -760,11 +768,11 @@
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",
@@ -772,33 +780,33 @@
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",
@@ -828,29 +836,29 @@
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",
@@ -913,8 +921,8 @@
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",
@@ -937,8 +945,8 @@
937
  "redefine-math",
938
  "puzzte",
939
  "implicatures",
940
- "race/high",
941
  "race/middle",
 
942
  "race-c",
943
  "spartqa-yn",
944
  "spartqa-mchoice",
@@ -959,13 +967,12 @@
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",
@@ -979,13 +986,11 @@
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",
@@ -1045,6 +1050,19 @@
1045
  "ReSQ",
1046
  "semantic_fragments_nli",
1047
  "dataset_train_nli",
 
 
 
 
 
 
 
 
 
 
 
 
 
1048
  "babi_nli",
1049
  "gen_debiased_nli",
1050
  "imppres/presupposition",
 
1
  {
2
+ "_name_or_path": "sileod/deberta-v3-large-tasksource-nli",
3
  "architectures": [
4
  "DebertaV2ForSequenceClassification"
5
  ],
 
28
  2,
29
  3,
30
  2,
 
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  2,
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  2,
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+ 6,
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  2,
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  2,
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  2,
 
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  1,
205
  1,
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  1,
 
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  2,
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  2,
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  2,
 
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  8,
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  3,
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  2,
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+ 20,
223
+ 4,
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  2,
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  2,
 
 
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  3,
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  3,
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  3,
 
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  3,
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  174,
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  2,
 
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  41,
234
+ 51,
235
+ 3,
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  2,
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  2,
 
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  2,
 
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  2,
240
  2,
241
+ 3,
242
  2,
243
  3,
244
  16,
245
  2,
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+ 2,
247
+ 2,
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  8,
249
+ 18,
250
  2,
251
  17,
252
+ 42,
 
 
253
  7,
254
+ 3,
255
  12,
256
  7,
257
+ 4,
 
 
258
  11,
259
+ 3,
260
  100,
261
  13,
262
  100,
 
286
  28,
287
  3,
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  6,
 
 
289
  5,
290
  7,
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+ 3,
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+ 6,
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  4,
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  2,
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+ 7,
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  2,
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  2,
 
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  2,
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  2,
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+ 6,
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  20,
302
  2,
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  9,
 
 
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  13,
305
+ 4,
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+ 3,
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  3,
308
  2,
309
  4,
310
+ 2,
311
+ 2,
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  2,
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  2,
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  2,
 
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  1,
422
  1,
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  2,
 
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  50,
425
  50,
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  50,
 
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  1,
437
  1,
438
  1,
 
439
  2,
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  2,
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  2,
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  2,
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  77,
 
444
  1,
445
  3,
446
  2,
 
500
  1,
501
  3,
502
  2,
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+ 9,
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510
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+ 2,
512
+ 3,
513
+ 2,
514
+ 3,
515
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516
  2,
517
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518
  3,
 
522
  ],
523
  "hidden_act": "gelu",
524
  "hidden_dropout_prob": 0.1,
525
+ "hidden_size": 1024,
526
  "id2label": {
527
  "0": "entailment",
528
  "1": "neutral",
529
  "2": "contradiction"
530
  },
531
  "initializer_range": 0.02,
532
+ "intermediate_size": 4096,
533
  "label2id": {
534
  "contradiction": 2,
535
  "entailment": 0,
 
540
  "max_relative_positions": -1,
541
  "model_type": "deberta-v2",
542
  "norm_rel_ebd": "layer_norm",
543
+ "num_attention_heads": 16,
544
+ "num_hidden_layers": 24,
545
  "pad_token_id": 0,
546
  "pooler_dropout": 0,
547
  "pooler_hidden_act": "gelu",
548
+ "pooler_hidden_size": 1024,
549
  "pos_att_type": [
550
  "p2c",
551
  "c2p"
 
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",
 
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",
 
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",
 
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",
 
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",
 
945
  "redefine-math",
946
  "puzzte",
947
  "implicatures",
 
948
  "race/middle",
949
+ "race/high",
950
  "race-c",
951
  "spartqa-yn",
952
  "spartqa-mchoice",
 
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",
 
986
  "civil_comments/sexual_explicit",
987
  "cloth",
988
  "dgen",
 
989
  "I2D2",
990
  "args_me",
991
  "Touche23-ValueEval",
992
  "starcon",
993
  "banking77",
 
994
  "lsat_qa/all",
995
  "ConTRoL-nli",
996
  "tracie",
 
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",
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