Upload DebertaV2ForSequenceClassification
Browse files- config.json +156 -150
- pytorch_model.bin +1 -1
config.json
CHANGED
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@@ -546,17 +549,17 @@
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"scitail/snli_format",
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"hans",
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"WANLI",
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"recast/recast_ner",
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"recast/recast_megaveridicality",
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"recast/recast_kg_relations",
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"recast/recast_factuality",
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"recast/recast_verbnet",
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"recast/recast_puns",
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"recast/recast_sentiment",
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"recast/recast_verbcorner",
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"probability_words_nli/usnli",
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"probability_words_nli/reasoning_2hop",
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"probability_words_nli/reasoning_1hop",
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"nan-nli/joey234--nan-nli",
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"nli_fever",
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"breaking_nli",
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"robust_nli_li_ts",
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"add_one_rte",
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"imppres/implicature_gradable_verb/log",
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"imppres/implicature_quantifiers/log",
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"imppres/implicature_numerals_2_3/log",
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"imppres/implicature_numerals_10_100/log",
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"imppres/implicature_modals/log",
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"imppres/implicature_gradable_adjective/log",
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"imppres/
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"glue_diagnostics/diagnostics",
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"hlgd",
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"paws/labeled_final",
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"model-written-evals",
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"truthful_qa/multiple_choice",
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"fig-qa",
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"bigbench/logical_fallacy_detection",
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"bigbench/metaphor_understanding",
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"bigbench/misconceptions",
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"bigbench/ruin_names",
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"bigbench/figure_of_speech_detection",
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"bigbench/conceptual_combinations",
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"bigbench/novel_concepts",
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"bigbench/international_phonetic_alphabet_nli",
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"bigbench/identify_math_theorems",
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"bigbench/penguins_in_a_table",
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"bigbench/formal_fallacies_syllogisms_negation",
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"bigbench/english_proverbs",
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"bigbench/analogical_similarity",
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"bigbench/mnist_ascii",
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"bigbench/snarks",
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"bigbench/fantasy_reasoning",
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"bigbench/riddle_sense",
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"bigbench/similarities_abstraction",
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"bigbench/undo_permutation",
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"bigbench/simple_ethical_questions",
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"bigbench/odd_one_out",
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"bigbench/known_unknowns",
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"bigbench/tracking_shuffled_objects",
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"bigbench/physics",
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"bigbench/analytic_entailment",
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"bigbench/arithmetic",
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"bigbench/fact_checker",
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"bigbench/color",
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"bigbench/evaluating_information_essentiality",
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"bigbench/strategyqa",
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"bigbench/intent_recognition",
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"bigbench/entailed_polarity",
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"bigbench/checkmate_in_one",
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"bigbench/movie_recommendation",
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"bigbench/goal_step_wikihow",
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"bigbench/identify_odd_metaphor",
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"bigbench/dyck_languages",
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"bigbench/hyperbaton",
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"bigbench/real_or_fake_text",
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"bigbench/crash_blossom",
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"bigbench/navigate",
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"bigbench/salient_translation_error_detection",
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"bigbench/sentence_ambiguity",
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"bigbench/human_organs_senses",
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"bigbench/geometric_shapes",
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"bigbench/implicit_relations",
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"bigbench/metaphor_boolean",
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"bigbench/
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"bigbench/
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"bigbench/hhh_alignment",
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"bigbench/timedial",
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"bigbench/cifar10_classification",
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"bigbench/emojis_emotion_prediction",
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"bigbench/anachronisms",
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"bigbench/
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"bigbench/causal_judgment",
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"bigbench/moral_permissibility",
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"bigbench/code_line_description",
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"bigbench/bbq_lite_json",
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"cosmos_qa",
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"dream",
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"art",
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"winogrande/winogrande_xl",
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"discovery/discovery",
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"pragmeval/squinky-formality",
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"pragmeval/emobank-valence",
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"go_emotions/simplified",
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"scicite",
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"liar",
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"lexical_relation_classification/ROOT09",
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"lexical_relation_classification/K&H+N",
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"lexical_relation_classification/EVALution",
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"lexical_relation_classification/CogALexV",
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"lexical_relation_classification/BLESS",
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"linguisticprobing/bigram_shift",
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"linguisticprobing/top_constituents",
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"linguisticprobing/obj_number",
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"crowdflower/sentiment_nuclear_power",
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"crowdflower/tweet_global_warming",
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"crowdflower/airline-sentiment",
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"crowdflower/corporate-messaging",
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"oasst1_dense_flat/helpfulness",
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"PARARULE-Plus",
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"mindgames",
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"universal_dependencies/en_ewt/deprel",
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"zero-shot-label-nli",
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3,
|
490 |
3,
|
|
|
549 |
"scitail/snli_format",
|
550 |
"hans",
|
551 |
"WANLI",
|
|
|
|
|
|
|
552 |
"recast/recast_factuality",
|
|
|
553 |
"recast/recast_puns",
|
554 |
+
"recast/recast_kg_relations",
|
555 |
"recast/recast_sentiment",
|
556 |
+
"recast/recast_ner",
|
557 |
"recast/recast_verbcorner",
|
558 |
+
"recast/recast_megaveridicality",
|
559 |
+
"recast/recast_verbnet",
|
560 |
"probability_words_nli/usnli",
|
|
|
561 |
"probability_words_nli/reasoning_1hop",
|
562 |
+
"probability_words_nli/reasoning_2hop",
|
563 |
"nan-nli/joey234--nan-nli",
|
564 |
"nli_fever",
|
565 |
"breaking_nli",
|
|
|
584 |
"robust_nli_li_ts",
|
585 |
"add_one_rte",
|
586 |
"imppres/implicature_gradable_verb/log",
|
587 |
+
"imppres/implicature_modals/log",
|
588 |
+
"imppres/implicature_connectives/log",
|
589 |
"imppres/implicature_quantifiers/log",
|
590 |
"imppres/implicature_numerals_2_3/log",
|
|
|
|
|
591 |
"imppres/implicature_gradable_adjective/log",
|
592 |
+
"imppres/implicature_numerals_10_100/log",
|
593 |
"glue_diagnostics/diagnostics",
|
594 |
"hlgd",
|
595 |
"paws/labeled_final",
|
|
|
602 |
"model-written-evals",
|
603 |
"truthful_qa/multiple_choice",
|
604 |
"fig-qa",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
605 |
"bigbench/metaphor_boolean",
|
606 |
+
"bigbench/fantasy_reasoning",
|
607 |
+
"bigbench/ruin_names",
|
608 |
+
"bigbench/date_understanding",
|
|
|
609 |
"bigbench/timedial",
|
610 |
+
"bigbench/misconceptions",
|
611 |
"bigbench/cifar10_classification",
|
612 |
+
"bigbench/riddle_sense",
|
613 |
+
"bigbench/empirical_judgments",
|
614 |
+
"bigbench/evaluating_information_essentiality",
|
615 |
+
"bigbench/elementary_math_qa",
|
616 |
"bigbench/emojis_emotion_prediction",
|
617 |
+
"bigbench/suicide_risk",
|
618 |
+
"bigbench/geometric_shapes",
|
619 |
+
"bigbench/identify_math_theorems",
|
620 |
+
"bigbench/navigate",
|
621 |
"bigbench/anachronisms",
|
622 |
+
"bigbench/strange_stories",
|
|
|
|
|
623 |
"bigbench/code_line_description",
|
624 |
+
"bigbench/arithmetic",
|
625 |
+
"bigbench/conceptual_combinations",
|
626 |
+
"bigbench/play_dialog_same_or_different",
|
627 |
+
"bigbench/reasoning_about_colored_objects",
|
628 |
+
"bigbench/physical_intuition",
|
629 |
+
"bigbench/undo_permutation",
|
630 |
+
"bigbench/analytic_entailment",
|
631 |
+
"bigbench/cause_and_effect",
|
632 |
+
"bigbench/presuppositions_as_nli",
|
633 |
+
"bigbench/movie_recommendation",
|
634 |
+
"bigbench/penguins_in_a_table",
|
635 |
+
"bigbench/social_iqa",
|
636 |
+
"bigbench/phrase_relatedness",
|
637 |
"bigbench/logic_grid_puzzle",
|
638 |
+
"bigbench/logical_args",
|
|
|
|
|
639 |
"bigbench/nonsense_words_grammar",
|
|
|
640 |
"bigbench/cs_algorithms",
|
641 |
+
"bigbench/epistemic_reasoning",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
642 |
"bigbench/social_support",
|
643 |
+
"bigbench/moral_permissibility",
|
|
|
644 |
"bigbench/abstract_narrative_understanding",
|
645 |
+
"bigbench/human_organs_senses",
|
646 |
+
"bigbench/checkmate_in_one",
|
647 |
+
"bigbench/dyck_languages",
|
648 |
+
"bigbench/crass_ai",
|
649 |
+
"bigbench/causal_judgment",
|
650 |
+
"bigbench/authorship_verification",
|
651 |
+
"bigbench/goal_step_wikihow",
|
652 |
+
"bigbench/identify_odd_metaphor",
|
653 |
+
"bigbench/gre_reading_comprehension",
|
654 |
+
"bigbench/disambiguation_qa",
|
655 |
+
"bigbench/similarities_abstraction",
|
656 |
+
"bigbench/fact_checker",
|
657 |
+
"bigbench/figure_of_speech_detection",
|
658 |
+
"bigbench/hhh_alignment",
|
659 |
+
"bigbench/winowhy",
|
660 |
"bigbench/emoji_movie",
|
661 |
+
"bigbench/salient_translation_error_detection",
|
662 |
"bigbench/bbq_lite_json",
|
663 |
+
"bigbench/unit_interpretation",
|
664 |
+
"bigbench/crash_blossom",
|
665 |
+
"bigbench/logical_sequence",
|
666 |
+
"bigbench/snarks",
|
667 |
+
"bigbench/international_phonetic_alphabet_nli",
|
668 |
+
"bigbench/irony_identification",
|
669 |
+
"bigbench/color",
|
670 |
+
"bigbench/entailed_polarity",
|
671 |
+
"bigbench/simple_ethical_questions",
|
672 |
+
"bigbench/tracking_shuffled_objects",
|
673 |
+
"bigbench/understanding_fables",
|
674 |
+
"bigbench/mnist_ascii",
|
675 |
+
"bigbench/physics",
|
676 |
+
"bigbench/movie_dialog_same_or_different",
|
677 |
+
"bigbench/hyperbaton",
|
678 |
+
"bigbench/contextual_parametric_knowledge_conflicts",
|
679 |
+
"bigbench/english_proverbs",
|
680 |
+
"bigbench/vitaminc_fact_verification",
|
681 |
"bigbench/hindu_knowledge",
|
682 |
+
"bigbench/sports_understanding",
|
|
|
|
|
|
|
683 |
"bigbench/implicatures",
|
684 |
+
"bigbench/metaphor_understanding",
|
685 |
+
"bigbench/logical_fallacy_detection",
|
686 |
+
"bigbench/logical_deduction",
|
687 |
+
"bigbench/known_unknowns",
|
688 |
+
"bigbench/real_or_fake_text",
|
689 |
+
"bigbench/intent_recognition",
|
690 |
+
"bigbench/strategyqa",
|
691 |
"bigbench/symbol_interpretation",
|
692 |
+
"bigbench/implicit_relations",
|
693 |
+
"bigbench/mathematical_induction",
|
694 |
+
"bigbench/question_selection",
|
695 |
+
"bigbench/formal_fallacies_syllogisms_negation",
|
696 |
+
"bigbench/general_knowledge",
|
697 |
+
"bigbench/temporal_sequences",
|
698 |
+
"bigbench/odd_one_out",
|
699 |
+
"bigbench/key_value_maps",
|
700 |
+
"bigbench/novel_concepts",
|
701 |
+
"bigbench/dark_humor_detection",
|
702 |
+
"bigbench/sentence_ambiguity",
|
703 |
+
"bigbench/discourse_marker_prediction",
|
704 |
+
"bigbench/analogical_similarity",
|
705 |
"cos_e/v1.0",
|
706 |
"cosmos_qa",
|
707 |
"dream",
|
|
|
722 |
"art",
|
723 |
"winogrande/winogrande_xl",
|
724 |
"codah/codah",
|
|
|
725 |
"ai2_arc/ARC-Challenge/challenge",
|
726 |
+
"ai2_arc/ARC-Easy/challenge",
|
727 |
"definite_pronoun_resolution",
|
728 |
"swag/regular",
|
729 |
"math_qa",
|
|
|
740 |
"rumoureval_2019/RumourEval2019",
|
741 |
"ethos/binary",
|
742 |
"ethos/multilabel",
|
743 |
+
"tweet_eval/offensive",
|
|
|
|
|
|
|
744 |
"tweet_eval/stance_hillary",
|
|
|
|
|
745 |
"tweet_eval/stance_feminist",
|
746 |
+
"tweet_eval/stance_climate",
|
747 |
+
"tweet_eval/stance_abortion",
|
748 |
"tweet_eval/sentiment",
|
749 |
+
"tweet_eval/emoji",
|
750 |
+
"tweet_eval/emotion",
|
751 |
"tweet_eval/hate",
|
752 |
+
"tweet_eval/irony",
|
753 |
+
"tweet_eval/stance_atheism",
|
754 |
"discovery/discovery",
|
755 |
"pragmeval/squinky-formality",
|
756 |
"pragmeval/emobank-valence",
|
757 |
+
"pragmeval/switchboard",
|
758 |
"pragmeval/emobank-dominance",
|
|
|
|
|
759 |
"pragmeval/emobank-arousal",
|
|
|
760 |
"pragmeval/squinky-implicature",
|
761 |
+
"pragmeval/squinky-informativeness",
|
762 |
+
"pragmeval/mrda",
|
763 |
+
"pragmeval/verifiability",
|
|
|
|
|
|
|
|
|
764 |
"pragmeval/emergent",
|
765 |
"pragmeval/persuasiveness-claimtype",
|
766 |
+
"pragmeval/persuasiveness-eloquence",
|
767 |
"pragmeval/persuasiveness-premisetype",
|
768 |
+
"pragmeval/gum",
|
769 |
+
"pragmeval/pdtb",
|
770 |
+
"pragmeval/persuasiveness-specificity",
|
771 |
+
"pragmeval/persuasiveness-strength",
|
772 |
+
"pragmeval/sarcasm",
|
773 |
"pragmeval/persuasiveness-relevance",
|
774 |
+
"pragmeval/stac",
|
|
|
775 |
"silicone/iemocap",
|
776 |
+
"silicone/sem",
|
777 |
"silicone/oasis",
|
778 |
+
"silicone/meld_s",
|
779 |
+
"silicone/meld_e",
|
780 |
+
"silicone/maptask",
|
781 |
"silicone/dyda_e",
|
782 |
"silicone/dyda_da",
|
|
|
|
|
783 |
"lex_glue/eurlex",
|
784 |
"lex_glue/scotus",
|
785 |
"lex_glue/ledgar",
|
|
|
809 |
"go_emotions/simplified",
|
810 |
"scicite",
|
811 |
"liar",
|
|
|
|
|
812 |
"lexical_relation_classification/EVALution",
|
813 |
"lexical_relation_classification/CogALexV",
|
814 |
+
"lexical_relation_classification/ROOT09",
|
815 |
"lexical_relation_classification/BLESS",
|
816 |
+
"lexical_relation_classification/K&H+N",
|
817 |
"linguisticprobing/bigram_shift",
|
818 |
"linguisticprobing/top_constituents",
|
|
|
|
|
|
|
819 |
"linguisticprobing/sentence_length",
|
820 |
"linguisticprobing/past_present",
|
821 |
"linguisticprobing/obj_number",
|
822 |
+
"linguisticprobing/odd_man_out",
|
823 |
+
"linguisticprobing/subj_number",
|
824 |
+
"linguisticprobing/tree_depth",
|
825 |
+
"linguisticprobing/coordination_inversion",
|
826 |
"crowdflower/sentiment_nuclear_power",
|
827 |
"crowdflower/tweet_global_warming",
|
828 |
"crowdflower/airline-sentiment",
|
829 |
"crowdflower/corporate-messaging",
|
|
|
|
|
|
|
830 |
"crowdflower/economic-news",
|
831 |
+
"crowdflower/political-media-audience",
|
832 |
+
"crowdflower/text_emotion",
|
833 |
"crowdflower/political-media-bias",
|
834 |
+
"crowdflower/political-media-message",
|
835 |
"ethics/commonsense",
|
836 |
"ethics/deontology",
|
837 |
"ethics/justice",
|
|
|
920 |
"redefine-math",
|
921 |
"puzzte",
|
922 |
"implicatures",
|
|
|
923 |
"race/middle",
|
924 |
+
"race/high",
|
925 |
"race-c",
|
926 |
"spartqa-yn",
|
927 |
"spartqa-mchoice",
|
|
|
947 |
"oasst1_dense_flat/helpfulness",
|
948 |
"PARARULE-Plus",
|
949 |
"mindgames",
|
950 |
+
"universal_dependencies/en_partut/deprel",
|
951 |
+
"universal_dependencies/en_lines/deprel",
|
952 |
"universal_dependencies/en_ewt/deprel",
|
953 |
"universal_dependencies/en_gum/deprel",
|
|
|
|
|
954 |
"ambient",
|
955 |
"path-naturalness-prediction",
|
956 |
"civil_comments/toxicity",
|
|
|
998 |
"disrpt/eng.dep.scidtb",
|
999 |
"conll2000",
|
1000 |
"few-nerd/supervised",
|
1001 |
+
"finer-139",
|
1002 |
"zero-shot-label-nli",
|
1003 |
"com2sense",
|
1004 |
"scone",
|
1005 |
"winodict",
|
1006 |
"fool-me-twice",
|
1007 |
"monli",
|
1008 |
+
"lsat_qa/all",
|
1009 |
+
"apt",
|
1010 |
"babi_nli",
|
1011 |
"gen_debiased_nli",
|
1012 |
"imppres/presupposition",
|
pytorch_model.bin
CHANGED
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|
1 |
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size 737771833
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