config.json

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      "Declarative Wh-Question",
      "Thanking",
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      "Declarative Yes-No-Question",
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      "Conventional-opening",
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      "Other",
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      "non-experiential"
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      "Expansions of y/n Answers",
      "Action-directive",
      "Tag-Question",
      "Accept",
      "Rhetorical-question Continue",
      "Self-talk",
      "Rhetorical-Question",
      "Yes-No-question",
      "Open-Question",
      "Rising Tone",
      "Other Answers",
      "Commit",
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      "Repeat",
      "Follow Me",
      "Thanking",
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      "Affirmative Non-yes Answers",
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      "Humorous Material",
      "Accept-part",
      "Collaborative Completion",
      "Mimic Other",
      "Understanding Check",
      "Misspeak Self-Correction",
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      "Topic Change",
      "Negative Non-no Answers",
      "Floor Grabber",
      "Correct-misspeaking",
      "Maybe",
      "Acknowledge-answer",
      "Defending/Explanation"
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      "low",
      "high"
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    ],
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      "sarc"
    ],
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      "Contrast",
      "Asynchronous",
      "Conjunction",
      "List",
      "Condition",
      "Pragmatic concession",
      "Restatement",
      "Pragmatic cause",
      "Alternative",
      "Pragmatic condition",
      "Pragmatic contrast",
      "Instantiation",
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    [
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      "Fact",
      "Policy"
    ],
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      "high"
    ],
    [
      "testimony",
      "warrant",
      "invented_instance",
      "common_knowledge",
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      "definition",
      "real_example"
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    [
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    ],
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    ],
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      "Contrast",
      "Q_Elab",
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      "Explanation",
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      "no_relation"
    ],
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      "against"
    ],
    [
      "Negative",
      "Neutral",
      "Positive"
    ],
    [
      "anger",
      "disgust",
      "fear",
      "joy",
      "neutral",
      "sadness",
      "surprise"
    ],
    [
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      "dis",
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    ],
    [
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      "instruct",
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    ],
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      "fear",
      "happiness",
      "no emotion",
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    ],
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      "commissive",
      "directive",
      "inform",
      "question"
    ],
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      "ackn",
      "answ",
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      "complete",
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      "exclaim",
      "expressOpinion",
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      "expressRegret",
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      "identifySelf",
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      "informCont",
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      "informIntent",
      "init",
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      "offer",
      "pardon",
      "raiseIssue",
      "refer",
      "refuse",
      "reqDirect",
      "reqInfo",
      "reqModal",
      "selfTalk",
      "suggest",
      "thank",
      "informIntent-hold",
      "correctSelf",
      "expressRegret-inform",
      "thank-identifySelf"
    ],
    [
      "negative",
      "neutral",
      "positive"
    ],
    [],
    [
      "1",
      "2",
      "3",
      "4",
      "5",
      "6",
      "7",
      "8",
      "9",
      "10",
      "11",
      "12",
      "13"
    ],
    [
      "Adjustments",
      "Agreements",
      "Amendments",
      "Anti-Corruption Laws",
      "Applicable Laws",
      "Approvals",
      "Arbitration",
      "Assignments",
      "Assigns",
      "Authority",
      "Authorizations",
      "Base Salary",
      "Benefits",
      "Binding Effects",
      "Books",
      "Brokers",
      "Capitalization",
      "Change In Control",
      "Closings",
      "Compliance With Laws",
      "Confidentiality",
      "Consent To Jurisdiction",
      "Consents",
      "Construction",
      "Cooperation",
      "Costs",
      "Counterparts",
      "Death",
      "Defined Terms",
      "Definitions",
      "Disability",
      "Disclosures",
      "Duties",
      "Effective Dates",
      "Effectiveness",
      "Employment",
      "Enforceability",
      "Enforcements",
      "Entire Agreements",
      "Erisa",
      "Existence",
      "Expenses",
      "Fees",
      "Financial Statements",
      "Forfeitures",
      "Further Assurances",
      "General",
      "Governing Laws",
      "Headings",
      "Indemnifications",
      "Indemnity",
      "Insurances",
      "Integration",
      "Intellectual Property",
      "Interests",
      "Interpretations",
      "Jurisdictions",
      "Liens",
      "Litigations",
      "Miscellaneous",
      "Modifications",
      "No Conflicts",
      "No Defaults",
      "No Waivers",
      "Non-Disparagement",
      "Notices",
      "Organizations",
      "Participations",
      "Payments",
      "Positions",
      "Powers",
      "Publicity",
      "Qualifications",
      "Records",
      "Releases",
      "Remedies",
      "Representations",
      "Sales",
      "Sanctions",
      "Severability",
      "Solvency",
      "Specific Performance",
      "Submission To Jurisdiction",
      "Subsidiaries",
      "Successors",
      "Survival",
      "Tax Withholdings",
      "Taxes",
      "Terminations",
      "Terms",
      "Titles",
      "Transactions With Affiliates",
      "Use Of Proceeds",
      "Vacations",
      "Venues",
      "Vesting",
      "Waiver Of Jury Trials",
      "Waivers",
      "Warranties",
      "Withholdings"
    ],
    [],
    [
      "0",
      "1",
      "2",
      "3",
      "4"
    ],
    [
      "ar",
      "bg",
      "de",
      "el",
      "en",
      "es",
      "fr",
      "hi",
      "it",
      "ja",
      "nl",
      "pl",
      "pt",
      "ru",
      "sw",
      "th",
      "tr",
      "ur",
      "vi",
      "zh"
    ],
    [
      "neg",
      "pos"
    ],
    [
      "neg",
      "pos"
    ],
    [
      "World",
      "Sports",
      "Business",
      "Sci/Tech"
    ],
    [
      "1 star",
      "2 star",
      "3 stars",
      "4 stars",
      "5 stars"
    ],
    [
      "negative",
      "neutral",
      "positive"
    ],
    [
      "negative",
      "positive",
      "no_impact",
      "mixed"
    ],
    [
      "Company",
      "EducationalInstitution",
      "Artist",
      "Athlete",
      "OfficeHolder",
      "MeanOfTransportation",
      "Building",
      "NaturalPlace",
      "Village",
      "Animal",
      "Plant",
      "Album",
      "Film",
      "WrittenWork"
    ],
    [
      "negative",
      "positive"
    ],
    [
      1,
      2,
      3,
      4,
      5
    ],
    [
      "noHate",
      "hate",
      "idk/skip",
      "relation"
    ],
    [
      "ham",
      "spam"
    ],
    [],
    [
      "equal",
      "sentence1",
      "sentence2"
    ],
    [
      "ComparePlaces",
      "RequestRide",
      "GetWeather",
      "SearchPlace",
      "GetPlaceDetails",
      "ShareCurrentLocation",
      "GetTrafficInformation",
      "BookRestaurant",
      "GetDirections",
      "ShareETA"
    ],
    [
      "hate speech",
      "offensive language",
      "neither"
    ],
    [
      "Society & Culture",
      "Science & Mathematics",
      "Health",
      "Education & Reference",
      "Computers & Internet",
      "Sports",
      "Business & Finance",
      "Entertainment & Music",
      "Family & Relationships",
      "Politics & Government"
    ],
    [
      0,
      1,
      2,
      3
    ],
    [
      "hyperpartisan",
      "not_hyperpartisan"
    ],
    [
      "COMPARE",
      "CONJUNCTION",
      "EVALUATE-FOR",
      "FEATURE-OF",
      "HYPONYM-OF",
      "PART-OF",
      "USED-FOR"
    ],
    [
      "Background",
      "CompareOrContrast",
      "Extends",
      "Future",
      "Motivation",
      "Uses"
    ],
    [],
    [
      "method",
      "background",
      "result"
    ],
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      "false",
      "half-true",
      "mostly-true",
      "true",
      "barely-true",
      "pants-fire"
    ],
    [
      "Antonym",
      "HasA",
      "HasProperty",
      "IsA",
      "MadeOf",
      "PartOf",
      "Synonym"
    ],
    [
      "COORD",
      "HYPER",
      "RANDOM"
    ],
    [
      "false",
      "hypo",
      "mero",
      "sibl"
    ],
    [
      "ANT",
      "HYPER",
      "PART_OF",
      "RANDOM",
      "SYN"
    ],
    [
      "attri",
      "coord",
      "event",
      "hyper",
      "mero",
      "random"
    ],
    [
      "NN",
      "NNS"
    ],
    [
      "PAST",
      "PRES"
    ],
    [
      "NN",
      "NNS"
    ],
    [
      0,
      1,
      2,
      3,
      4,
      5
    ],
    [
      "ADVP_NP_VP_.",
      "CC_ADVP_NP_VP_.",
      "CC_NP_VP_.",
      "IN_NP_VP_.",
      "NP_ADVP_VP_.",
      "NP_NP_VP_.",
      "NP_PP_.",
      "NP_VP_.",
      "OTHER",
      "PP_NP_VP_.",
      "RB_NP_VP_.",
      "SBAR_NP_VP_.",
      "SBAR_VP_.",
      "S_CC_S_.",
      "S_NP_VP_.",
      "S_VP_.",
      "VBD_NP_VP_.",
      "VP_.",
      "WHADVP_SQ_.",
      "WHNP_SQ_."
    ],
    [
      "depth_5",
      "depth_6",
      "depth_7",
      "depth_8",
      "depth_9",
      "depth_10",
      "depth_11"
    ],
    [
      "I",
      "O"
    ],
    [
      "C",
      "O"
    ],
    [
      "I",
      "O"
    ],
    [
      "information",
      "support",
      "policy",
      "constituency",
      "personal",
      "other",
      "media",
      "mobilization",
      "attack"
    ],
    [
      "sadness",
      "empty",
      "relief",
      "hate",
      "worry",
      "enthusiasm",
      "happiness",
      "neutral",
      "love",
      "fun",
      "anger",
      "surprise",
      "boredom"
    ],
    [
      "constituency",
      "national"
    ],
    [
      "not sure",
      "yes",
      "no"
    ],
    [
      "Information",
      "Action",
      "Exclude",
      "Dialogue"
    ],
    [
      "neutral",
      "positive",
      "negative"
    ],
    [
      "Yes",
      "No"
    ],
    [
      "Neutral / author is just sharing information",
      "Negative",
      "Tweet NOT related to nuclear energy",
      "Positive"
    ],
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      "partisan",
      "neutral"
    ],
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      "acceptable",
      "unacceptable"
    ],
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      "acceptable",
      "unacceptable"
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      "acceptable",
      "unacceptable"
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    [
      "acceptable",
      "unacceptable"
    ],
    [
      "others",
      "happy",
      "sad",
      "angry"
    ],
    [],
    [
      "no-hate-speech",
      "hate-speech"
    ],
    [],
    [
      "female",
      "male"
    ],
    [
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      14,
      15,
      16,
      17,
      23,
      24,
      25,
      26,
      27,
      33,
      34,
      35,
      36,
      37,
      38,
      39,
      40,
      41,
      42,
      43,
      44,
      45,
      46,
      47,
      48
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    [
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      "Advertising",
      "Agriculture",
      "Architecture",
      "Arts",
      "Automotive",
      "Banking",
      "Biotech",
      "BusinessServices",
      "Chemicals",
      "Communications-Media",
      "Construction",
      "Consulting",
      "Education",
      "Engineering",
      "Environment",
      "Fashion",
      "Government",
      "HumanResources",
      "Internet",
      "InvestmentBanking",
      "Law",
      "LawEnforcement-Security",
      "Manufacturing",
      "Maritime",
      "Marketing",
      "Military",
      "Museums-Libraries",
      "Non-Profit",
      "Publishing",
      "RealEstate",
      "Religion",
      "Science",
      "Sports-Recreation",
      "Student",
      "Technology",
      "Telecommunications",
      "Tourism",
      "Transportation",
      "indUnk"
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    [
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      "comparison",
      "concept",
      "consequence",
      "disjunction",
      "example",
      "extent",
      "judgmental",
      "procedural",
      "verification"
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      "mixture",
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      "unproven"
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      0
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      0
    ],
    [
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      "In the middle, neither yes nor no",
      "Yes, subject to some conditions",
      "Other"
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    [
      0,
      1
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      "nine",
      "no",
      "one",
      "seven",
      "six",
      "ten",
      "three",
      "two",
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    ],
    [
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      "neutral",
      "positive"
    ],
    [
      "negative",
      "neutral",
      "positive"
    ],
    [
      0,
      1
    ],
    [
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      "Cause-Effect(e2,e1)",
      "Component-Whole(e1,e2)",
      "Component-Whole(e2,e1)",
      "Content-Container(e1,e2)",
      "Content-Container(e2,e1)",
      "Entity-Destination(e1,e2)",
      "Entity-Destination(e2,e1)",
      "Entity-Origin(e1,e2)",
      "Entity-Origin(e2,e1)",
      "Instrument-Agency(e1,e2)",
      "Instrument-Agency(e2,e1)",
      "Member-Collection(e1,e2)",
      "Member-Collection(e2,e1)",
      "Message-Topic(e1,e2)",
      "Message-Topic(e2,e1)",
      "Product-Producer(e1,e2)",
      "Product-Producer(e2,e1)",
      "Other"
    ],
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      "positive"
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      "d"
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      1
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      1
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      1
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      1
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      1
    ],
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      0
    ],
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      "True"
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    [
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      "True"
    ],
    [
      0
    ],
    [],
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      "yes"
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      "neutral",
      "contradiction"
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    [
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      "neutral"
    ],
    [
      0,
      1
    ],
    [
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      "entailment",
      "neutral",
      "reasoning"
    ],
    [
      "entailment",
      "neutral",
      "contradiction"
    ],
    [
      0
    ],
    [
      0
    ],
    [
      "A",
      "B",
      "C",
      "D"
    ],
    [
      "nothate",
      "hate"
    ],
    [
      "entailment",
      "neutral",
      "contradiction"
    ],
    [
      "entailment",
      "neutral"
    ],
    [
      "DON'T KNOW",
      "NO",
      "YES"
    ],
    [
      0,
      1
    ],
    [
      0
    ],
    [
      "RIGHT",
      "WRONG"
    ],
    [
      0,
      1
    ],
    [
      "strengthener",
      "weakener"
    ],
    [
      "strengthener",
      "weakener"
    ],
    [
      "entailment",
      "neutral"
    ],
    [
      "entailment",
      "neutral"
    ],
    [
      "entailment",
      "neutral",
      "contradiction"
    ],
    [
      "contradiction",
      "entailment"
    ],
    [
      "Contradiction",
      "Entailment"
    ],
    [
      false,
      true
    ],
    [
      0
    ],
    [
      "entailment",
      "neutral",
      "contradiction"
    ],
    [
      "entailment",
      "not_entailment"
    ],
    [
      "no",
      "yes"
    ],
    [
      0,
      1
    ],
    [
      0
    ],
    [
      "0",
      "1",
      "2",
      "3",
      "4",
      "5",
      "6",
      "7"
    ],
    [
      0
    ],
    [
      "false",
      "true"
    ],
    [
      0
    ],
    [
      0
    ],
    [
      0
    ],
    [
      0
    ],
    [
      "entailment",
      "non-entailment",
      "not entailment - contradiction",
      "not entailment - unknown"
    ],
    [
      0
    ],
    [
      0
    ],
    [
      0
    ],
    [
      0
    ],
    [
      "DK",
      "No",
      "Yes"
    ],
    [
      0
    ],
    [
      "entailment",
      "neutral",
      "contradiction"
    ],
    [
      0
    ],
    [
      "contradiction",
      "not_contradiction"
    ],
    [
      false,
      true
    ],
    [
      0
    ],
    [
      "Negative",
      "Positive"
    ],
    [
      "entailment",
      "neutral",
      "contradiction"
    ],
    [
      "entailment",
      "neutral",
      "contradiction"
    ],
    [
      "False",
      "True"
    ],
    [],
    [
      "entailment",
      "neutral",
      "contradiction"
    ],
    [
      0
    ],
    [
      0
    ],
    [
      "explicit_hate",
      "implicit_hate",
      "not_hate"
    ],
    [],
    [
      0,
      1,
      2
    ],
    [
      "entailment",
      "not-entailment"
    ],
    [],
    [],
    [],
    [
      "entailment",
      "not_entailment"
    ],
    [
      false,
      true
    ],
    [
      0,
      1
    ],
    [],
    [],
    [],
    [],
    [],
    [],
    [],
    [
      0
    ],
    [
      0
    ],
    [
      "False",
      "True"
    ],
    [
      "CON",
      "PRO"
    ],
    [
      "against",
      "in favor of"
    ],
    [
      "CON",
      "PRO"
    ],
    [
      "activate_my_card",
      "age_limit",
      "apple_pay_or_google_pay",
      "atm_support",
      "automatic_top_up",
      "balance_not_updated_after_bank_transfer",
      "balance_not_updated_after_cheque_or_cash_deposit",
      "beneficiary_not_allowed",
      "cancel_transfer",
      "card_about_to_expire",
      "card_acceptance",
      "card_arrival",
      "card_delivery_estimate",
      "card_linking",
      "card_not_working",
      "card_payment_fee_charged",
      "card_payment_not_recognised",
      "card_payment_wrong_exchange_rate",
      "card_swallowed",
      "cash_withdrawal_charge",
      "cash_withdrawal_not_recognised",
      "change_pin",
      "compromised_card",
      "contactless_not_working",
      "country_support",
      "declined_card_payment",
      "declined_cash_withdrawal",
      "declined_transfer",
      "direct_debit_payment_not_recognised",
      "disposable_card_limits",
      "edit_personal_details",
      "exchange_charge",
      "exchange_rate",
      "exchange_via_app",
      "extra_charge_on_statement",
      "failed_transfer",
      "fiat_currency_support",
      "get_disposable_virtual_card",
      "get_physical_card",
      "getting_spare_card",
      "getting_virtual_card",
      "lost_or_stolen_card",
      "lost_or_stolen_phone",
      "order_physical_card",
      "passcode_forgotten",
      "pending_card_payment",
      "pending_cash_withdrawal",
      "pending_top_up",
      "pending_transfer",
      "pin_blocked",
      "receiving_money",
      "Refund_not_showing_up",
      "request_refund",
      "reverted_card_payment?",
      "supported_cards_and_currencies",
      "terminate_account",
      "top_up_by_bank_transfer_charge",
      "top_up_by_card_charge",
      "top_up_by_cash_or_cheque",
      "top_up_failed",
      "top_up_limits",
      "top_up_reverted",
      "topping_up_by_card",
      "transaction_charged_twice",
      "transfer_fee_charged",
      "transfer_into_account",
      "transfer_not_received_by_recipient",
      "transfer_timing",
      "unable_to_verify_identity",
      "verify_my_identity",
      "verify_source_of_funds",
      "verify_top_up",
      "virtual_card_not_working",
      "visa_or_mastercard",
      "why_verify_identity",
      "wrong_amount_of_cash_received",
      "wrong_exchange_rate_for_cash_withdrawal"
    ],
    [
      "entailment",
      "neutral",
      "contradiction"
    ],
    [
      "entailment",
      "not-entailment"
    ],
    [
      "entailment",
      "not-entailment"
    ],
    [
      0,
      1
    ],
    [
      0
    ],
    [
      "False",
      "True"
    ],
    [
      "entailment",
      "neutral",
      "contradiction"
    ],
    [
      "aunt",
      "brother",
      "daughter",
      "daughter-in-law",
      "father",
      "father-in-law",
      "granddaughter",
      "grandfather",
      "grandmother",
      "grandson",
      "mother",
      "mother-in-law",
      "nephew",
      "niece",
      "sister",
      "son",
      "son-in-law",
      "uncle"
    ],
    [
      "ad hominem",
      "ad populum",
      "appeal to emotion",
      "circular reasoning",
      "equivocation",
      "fallacy of credibility",
      "fallacy of extension",
      "fallacy of logic",
      "fallacy of relevance",
      "false causality",
      "false dilemma",
      "faulty generalization",
      "intentional"
    ],
    [
      "not-paraphrase",
      "paraphrase"
    ],
    [
      "no",
      "yes"
    ],
    [
      "OBJ",
      "SUBJ"
    ],
    [
      "literal",
      "metaphorical"
    ],
    [
      "literal",
      "metaphorical"
    ],
    [
      "Clarification needed",
      "Irrelevant",
      "No",
      "Yes"
    ],
    [
      false,
      true
    ],
    [
      "attribution",
      "bg-compare",
      "bg-general",
      "bg-goal",
      "cause",
      "comparison",
      "condition",
      "contrast",
      "elab-addition",
      "elab-aspect",
      "elab-definition",
      "elab-enumember",
      "elab-example",
      "elab-process_step",
      "enablement",
      "evaluation",
      "exp-evidence",
      "exp-reason",
      "joint",
      "manner-means",
      "progression",
      "result",
      "summary",
      "temporal"
    ],
    [
      "entailment",
      "neutral",
      "contradiction"
    ],
    [
      "False",
      "True"
    ],
    [
      "entailment",
      "neutral"
    ],
    [
      0,
      1
    ],
    [
      "REFUTES",
      "SUPPORTS"
    ],
    [
      "entailment",
      "neutral"
    ],
    [
      "entailment",
      "neutral",
      "contradiction"
    ],
    [
      0
    ],
    [
      "not_paraphrase",
      "paraphrase"
    ],
    [
      "Bearish",
      "Bullish",
      "Neutral"
    ],
    [
      "False",
      "True"
    ],
    [
      "entailment",
      "neutral",
      "contradiction"
    ],
    [
      "entailment",
      "neutral",
      "contradiction"
    ],
    [
      "hate-speech",
      "not-hate-speech"
    ],
    [
      "False",
      "True"
    ],
    [
      "Complement",
      "Exact",
      "Irrelevant",
      "Substitute"
    ],
    [
      0,
      1
    ],
    [
      "Attack",
      "Complete quest",
      "Deliver",
      "Drival",
      "Exchange",
      "Farewell",
      "Follow",
      "General",
      "Greeting",
      "Join",
      "Joke",
      "Knowledge",
      "Message",
      "Move",
      "Protect",
      "Recieve quest",
      "Threat"
    ],
    [
      "DISPROVED",
      "PROVED",
      "UNKNOWN"
    ],
    [
      "DISPROVED",
      "PROVED",
      "UNKNOWN"
    ],
    [
      "entailment",
      "not-entailment"
    ],
    [
      "contradict",
      "neutral",
      "support"
    ],
    [
      false,
      true
    ],
    [
      "entailment",
      "neutral",
      "contradiction"
    ],
    [
      "entailment",
      "neutral",
      "contradiction"
    ],
    [
      "contradiction",
      "entailment"
    ],
    [
      0
    ],
    [
      0
    ],
    [
      "entailment",
      "neutral",
      "contradiction"
    ],
    [
      "entailment",
      "not_entailment"
    ],
    [
      "above",
      "below",
      "left",
      "lower-left",
      "lower-right",
      "overlap",
      "right",
      "upper-left",
      "upper-right"
    ],
    [
      "False",
      "True"
    ],
    [
      0
    ],
    [
      0
    ],
    [
      0
    ],
    [
      0
    ],
    [
      0
    ],
    [
      "entailment",
      "not entailment"
    ],
    [
      "False",
      "True"
    ],
    [
      "False",
      "True",
      "Unknown"
    ],
    [
      "entailment",
      "not entailment"
    ],
    [
      "entailment",
      "neutral",
      "contradiction"
    ],
    [
      "contradiction",
      "entailment",
      "neutral",
      "self_contradiction"
    ],
    [
      "contradiction",
      "entailment",
      "neutral"
    ],
    [
      "contradiction",
      "entailment",
      "neutral"
    ],
    [
      "Contradiction",
      "Entailment"
    ],
    [
      0
    ],
    [
      0
    ],
    [
      "entailment",
      "not-entailment"
    ],
    [
      0
    ],
    [
      0
    ],
    [
      -2,
      -1,
      0,
      1,
      2,
      3,
      4,
      5
    ],
    [
      "ambiguous",
      "not ambiguous"
    ],
    [
      "entailment",
      "neutral",
      "contradiction"
    ],
    [
      "entailment",
      "neutral",
      "contradiction"
    ],
    [
      0,
      1
    ],
    [
      0
    ],
    [
      "entailment",
      "not_entailment"
    ],
    [
      "entailment",
      "non_entailment"
    ],
    [
      "Antonym",
      "High",
      "Holonym (a whole of)",
      "Hypernym (narrow-broad match)",
      "Hyponym (broad-narrow match)",
      "Meronym (a part of)",
      "Not related",
      "Other high level domain match",
      "Structural match",
      "Very high"
    ],
    [
      "consistent",
      "inconsistent"
    ],
    [
      "entailment",
      "not_entailment"
    ],
    [
      "entailment",
      "not_entailment"
    ],
    [
      0,
      1,
      2,
      3,
      4
    ],
    [
      0,
      1,
      2,
      3,
      4
    ],
    [
      0,
      1,
      2,
      3,
      4
    ],
    [
      0,
      1,
      2,
      3,
      4
    ],
    [
      0,
      1,
      2,
      3,
      4
    ],
    [
      0,
      1,
      2,
      3,
      4
    ],
    [
      0,
      1,
      2,
      3,
      4
    ],
    [
      0,
      1,
      2,
      3,
      4
    ],
    [
      0,
      1,
      2,
      3,
      4
    ],
    [
      0,
      1,
      2,
      3,
      4
    ],
    [
      "contrasting",
      "entailment",
      "neutral",
      "reasoning"
    ],
    [
      0
    ],
    [
      1,
      2,
      3,
      4,
      5,
      6
    ],
    [
      1,
      2,
      3,
      4,
      5
    ],
    [
      1,
      2,
      3,
      4,
      5
    ],
    [
      1,
      2,
      3,
      4,
      5
    ],
    [
      1,
      2,
      3,
      4,
      5
    ],
    [
      1,
      2,
      3,
      4,
      5
    ],
    [
      1,
      2,
      3,
      4,
      5
    ],
    [
      "not_supported",
      "partially_supported",
      "supported"
    ],
    [
      0,
      1
    ],
    [
      0
    ],
    [
      "No",
      "Yes"
    ],
    [
      "not-entailed",
      "entailed"
    ],
    [
      0,
      1,
      2
    ],
    [
      "_entailment",
      "_neutral",
      "_contradiction"
    ],
    [
      "pragmatic_entailment",
      "pragmatic_neutral",
      "pragmatic_contradiction"
    ],
    [
      0
    ]
  ],
  "layer_norm_eps": 1e-07,
  "max_position_embeddings": 1280,
  "max_relative_positions": -1,
  "model_type": "deberta-v2",
  "norm_rel_ebd": "layer_norm",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "pooler_dropout": 0,
  "pooler_hidden_act": "gelu",
  "pooler_hidden_size": 768,
  "pos_att_type": [
    "p2c",
    "c2p"
  ],
  "position_biased_input": false,
  "position_buckets": 256,
  "relative_attention": true,
  "share_att_key": true,
  "tasks": [
    "glue/mnli",
    "glue/qnli",
    "glue/rte",
    "glue/wnli",
    "glue/mrpc",
    "glue/qqp",
    "glue/stsb",
    "super_glue/boolq",
    "super_glue/cb",
    "super_glue/multirc",
    "super_glue/wic",
    "super_glue/axg",
    "anli/a1",
    "anli/a2",
    "anli/a3",
    "sick/label",
    "sick/relatedness",
    "sick/entailment_AB",
    "snli",
    "scitail/snli_format",
    "hans",
    "WANLI",
    "recast/recast_puns",
    "recast/recast_factuality",
    "recast/recast_kg_relations",
    "recast/recast_verbnet",
    "recast/recast_verbcorner",
    "recast/recast_ner",
    "recast/recast_megaveridicality",
    "recast/recast_sentiment",
    "probability_words_nli/reasoning_1hop",
    "probability_words_nli/usnli",
    "probability_words_nli/reasoning_2hop",
    "nan-nli",
    "nli_fever",
    "breaking_nli",
    "conj_nli",
    "fracas",
    "dialogue_nli",
    "mpe",
    "dnc",
    "recast_white/fnplus",
    "recast_white/sprl",
    "recast_white/dpr",
    "joci",
    "robust_nli/IS_CS",
    "robust_nli/LI_LI",
    "robust_nli/ST_WO",
    "robust_nli/PI_SP",
    "robust_nli/PI_CD",
    "robust_nli/ST_SE",
    "robust_nli/ST_NE",
    "robust_nli/ST_LM",
    "robust_nli_is_sd",
    "robust_nli_li_ts",
    "add_one_rte",
    "imppres/implicature_gradable_adjective/log",
    "imppres/implicature_modals/log",
    "imppres/implicature_numerals_10_100/log",
    "imppres/implicature_quantifiers/log",
    "imppres/implicature_connectives/log",
    "imppres/implicature_gradable_verb/log",
    "imppres/implicature_numerals_2_3/log",
    "hlgd",
    "paws/labeled_final",
    "paws/labeled_swap",
    "medical_questions_pairs",
    "model-written-evals",
    "truthful_qa/multiple_choice",
    "fig-qa",
    "bigbench/discourse_marker_prediction",
    "bigbench/gre_reading_comprehension",
    "bigbench/simple_ethical_questions",
    "bigbench/known_unknowns",
    "bigbench/fact_checker",
    "bigbench/phrase_relatedness",
    "bigbench/irony_identification",
    "bigbench/crash_blossom",
    "bigbench/physical_intuition",
    "bigbench/analytic_entailment",
    "bigbench/play_dialog_same_or_different",
    "bigbench/metaphor_boolean",
    "bigbench/undo_permutation",
    "bigbench/disambiguation_qa",
    "bigbench/metaphor_understanding",
    "bigbench/nonsense_words_grammar",
    "bigbench/logical_deduction",
    "bigbench/sentence_ambiguity",
    "bigbench/key_value_maps",
    "bigbench/checkmate_in_one",
    "bigbench/code_line_description",
    "bigbench/crass_ai",
    "bigbench/movie_dialog_same_or_different",
    "bigbench/strategyqa",
    "bigbench/hhh_alignment",
    "bigbench/english_proverbs",
    "bigbench/cs_algorithms",
    "bigbench/formal_fallacies_syllogisms_negation",
    "bigbench/conceptual_combinations",
    "bigbench/geometric_shapes",
    "bigbench/tracking_shuffled_objects",
    "bigbench/arithmetic",
    "bigbench/misconceptions",
    "bigbench/odd_one_out",
    "bigbench/international_phonetic_alphabet_nli",
    "bigbench/social_iqa",
    "bigbench/logical_fallacy_detection",
    "bigbench/hyperbaton",
    "bigbench/novel_concepts",
    "bigbench/similarities_abstraction",
    "bigbench/timedial",
    "bigbench/salient_translation_error_detection",
    "bigbench/cifar10_classification",
    "bigbench/winowhy",
    "bigbench/mathematical_induction",
    "bigbench/real_or_fake_text",
    "bigbench/epistemic_reasoning",
    "bigbench/riddle_sense",
    "bigbench/identify_odd_metaphor",
    "bigbench/human_organs_senses",
    "bigbench/emojis_emotion_prediction",
    "bigbench/logical_args",
    "bigbench/anachronisms",
    "bigbench/bbq_lite_json",
    "bigbench/general_knowledge",
    "bigbench/logical_sequence",
    "bigbench/navigate",
    "bigbench/analogical_similarity",
    "bigbench/authorship_verification",
    "bigbench/elementary_math_qa",
    "bigbench/goal_step_wikihow",
    "bigbench/empirical_judgments",
    "bigbench/question_selection",
    "bigbench/temporal_sequences",
    "bigbench/mnist_ascii",
    "bigbench/color",
    "bigbench/date_understanding",
    "bigbench/figure_of_speech_detection",
    "bigbench/contextual_parametric_knowledge_conflicts",
    "bigbench/ruin_names",
    "bigbench/abstract_narrative_understanding",
    "bigbench/physics",
    "bigbench/understanding_fables",
    "bigbench/identify_math_theorems",
    "bigbench/penguins_in_a_table",
    "bigbench/vitaminc_fact_verification",
    "bigbench/social_support",
    "bigbench/strange_stories",
    "bigbench/dark_humor_detection",
    "bigbench/fantasy_reasoning",
    "bigbench/logic_grid_puzzle",
    "bigbench/emoji_movie",
    "bigbench/moral_permissibility",
    "bigbench/symbol_interpretation",
    "bigbench/presuppositions_as_nli",
    "bigbench/dyck_languages",
    "bigbench/implicatures",
    "bigbench/suicide_risk",
    "bigbench/unit_interpretation",
    "bigbench/intent_recognition",
    "bigbench/movie_recommendation",
    "bigbench/snarks",
    "bigbench/evaluating_information_essentiality",
    "bigbench/sports_understanding",
    "bigbench/entailed_polarity",
    "bigbench/causal_judgment",
    "bigbench/cause_and_effect",
    "bigbench/implicit_relations",
    "bigbench/reasoning_about_colored_objects",
    "bigbench/hindu_knowledge",
    "cos_e/v1.0",
    "cosmos_qa",
    "dream",
    "openbookqa",
    "qasc",
    "quartz",
    "quail",
    "head_qa/en",
    "sciq",
    "social_i_qa",
    "wiki_hop/original",
    "wiqa",
    "piqa",
    "hellaswag",
    "super_glue/copa",
    "balanced-copa",
    "e-CARE",
    "art",
    "winogrande/winogrande_xl",
    "codah/codah",
    "ai2_arc/ARC-Easy/challenge",
    "ai2_arc/ARC-Challenge/challenge",
    "definite_pronoun_resolution",
    "swag/regular",
    "math_qa",
    "glue/cola",
    "glue/sst2",
    "utilitarianism",
    "amazon_counterfactual/en",
    "insincere-questions",
    "toxic_conversations",
    "TuringBench",
    "trec",
    "vitaminc",
    "hope_edi/english",
    "rumoureval_2019/RumourEval2019",
    "ethos/binary",
    "ethos/multilabel",
    "tweet_eval/emoji",
    "tweet_eval/offensive",
    "tweet_eval/emotion",
    "tweet_eval/hate",
    "tweet_eval/irony",
    "tweet_eval/sentiment",
    "tweet_eval/stance_abortion",
    "tweet_eval/stance_atheism",
    "tweet_eval/stance_climate",
    "tweet_eval/stance_feminist",
    "tweet_eval/stance_hillary",
    "discovery/discovery",
    "pragmeval/squinky-formality",
    "pragmeval/switchboard",
    "pragmeval/verifiability",
    "pragmeval/mrda",
    "pragmeval/squinky-informativeness",
    "pragmeval/squinky-implicature",
    "pragmeval/emobank-arousal",
    "pragmeval/emobank-dominance",
    "pragmeval/emobank-valence",
    "pragmeval/sarcasm",
    "pragmeval/pdtb",
    "pragmeval/persuasiveness-claimtype",
    "pragmeval/persuasiveness-relevance",
    "pragmeval/persuasiveness-premisetype",
    "pragmeval/persuasiveness-eloquence",
    "pragmeval/persuasiveness-strength",
    "pragmeval/stac",
    "pragmeval/persuasiveness-specificity",
    "pragmeval/gum",
    "pragmeval/emergent",
    "silicone/sem",
    "silicone/meld_e",
    "silicone/iemocap",
    "silicone/maptask",
    "silicone/dyda_e",
    "silicone/dyda_da",
    "silicone/oasis",
    "silicone/meld_s",
    "lex_glue/eurlex",
    "lex_glue/scotus",
    "lex_glue/ledgar",
    "lex_glue/unfair_tos",
    "lex_glue/case_hold",
    "language-identification",
    "imdb",
    "rotten_tomatoes",
    "ag_news",
    "yelp_review_full/yelp_review_full",
    "financial_phrasebank/sentences_allagree",
    "poem_sentiment",
    "dbpedia_14/dbpedia_14",
    "amazon_polarity/amazon_polarity",
    "app_reviews",
    "hate_speech18",
    "sms_spam",
    "humicroedit/subtask-1",
    "humicroedit/subtask-2",
    "snips_built_in_intents",
    "hate_speech_offensive",
    "yahoo_answers_topics",
    "stackoverflow-questions",
    "hyperpartisan_news",
    "sciie",
    "citation_intent",
    "go_emotions/simplified",
    "scicite",
    "liar",
    "lexical_relation_classification/EVALution",
    "lexical_relation_classification/ROOT09",
    "lexical_relation_classification/K&H+N",
    "lexical_relation_classification/CogALexV",
    "lexical_relation_classification/BLESS",
    "linguisticprobing/subj_number",
    "linguisticprobing/past_present",
    "linguisticprobing/obj_number",
    "linguisticprobing/sentence_length",
    "linguisticprobing/top_constituents",
    "linguisticprobing/tree_depth",
    "linguisticprobing/coordination_inversion",
    "linguisticprobing/odd_man_out",
    "linguisticprobing/bigram_shift",
    "crowdflower/political-media-message",
    "crowdflower/text_emotion",
    "crowdflower/political-media-audience",
    "crowdflower/economic-news",
    "crowdflower/corporate-messaging",
    "crowdflower/airline-sentiment",
    "crowdflower/tweet_global_warming",
    "crowdflower/sentiment_nuclear_power",
    "crowdflower/political-media-bias",
    "ethics/commonsense",
    "ethics/deontology",
    "ethics/justice",
    "ethics/virtue",
    "emo/emo2019",
    "google_wellformed_query",
    "tweets_hate_speech_detection",
    "has_part",
    "blog_authorship_corpus/gender",
    "blog_authorship_corpus/age",
    "blog_authorship_corpus/job",
    "open_question_type",
    "health_fact",
    "commonsense_qa",
    "mc_taco",
    "ade_corpus_v2/Ade_corpus_v2_classification",
    "discosense",
    "circa",
    "phrase_similarity",
    "scientific-exaggeration-detection",
    "quarel",
    "fever-evidence-related",
    "numer_sense",
    "dynasent/dynabench.dynasent.r1.all/r1",
    "dynasent/dynabench.dynasent.r2.all/r2",
    "Sarcasm_News_Headline",
    "sem_eval_2010_task_8",
    "auditor_review",
    "medmcqa",
    "Dynasent_Disagreement",
    "Politeness_Disagreement",
    "SBIC_Disagreement",
    "SChem_Disagreement",
    "Dilemmas_Disagreement",
    "logiqa",
    "wiki_qa",
    "cycic_classification",
    "cycic_multiplechoice",
    "sts-companion",
    "commonsense_qa_2.0",
    "lingnli",
    "monotonicity-entailment",
    "arct",
    "scinli",
    "naturallogic",
    "onestop_qa",
    "moral_stories/full",
    "prost",
    "dynahate",
    "syntactic-augmentation-nli",
    "autotnli",
    "CONDAQA",
    "webgpt_comparisons",
    "synthetic-instruct-gptj-pairwise",
    "scruples",
    "wouldyourather",
    "defeasible-nli/atomic",
    "defeasible-nli/snli",
    "help-nli",
    "nli-veridicality-transitivity",
    "lonli",
    "dadc-limit-nli",
    "FLUTE",
    "strategy-qa",
    "summarize_from_feedback/comparisons",
    "folio",
    "tomi-nli",
    "avicenna",
    "SHP",
    "MedQA-USMLE-4-options-hf",
    "wikimedqa/medwiki",
    "cicero",
    "CREAK",
    "mutual",
    "NeQA",
    "quote-repetition",
    "redefine-math",
    "puzzte",
    "implicatures",
    "race/high",
    "race/middle",
    "race-c",
    "spartqa-yn",
    "spartqa-mchoice",
    "temporal-nli",
    "riddle_sense",
    "clcd-english",
    "twentyquestions",
    "reclor",
    "counterfactually-augmented-imdb",
    "counterfactually-augmented-snli",
    "cnli",
    "boolq-natural-perturbations",
    "acceptability-prediction",
    "equate",
    "ScienceQA_text_only",
    "ekar_english",
    "implicit-hate-stg1",
    "chaos-mnli-ambiguity",
    "headline_cause/en_simple",
    "logiqa-2.0-nli",
    "oasst2_dense_flat/quality",
    "oasst2_dense_flat/toxicity",
    "oasst2_dense_flat/helpfulness",
    "mindgames",
    "ambient",
    "path-naturalness-prediction",
    "civil_comments/toxicity",
    "civil_comments/severe_toxicity",
    "civil_comments/obscene",
    "civil_comments/threat",
    "civil_comments/insult",
    "civil_comments/identity_attack",
    "civil_comments/sexual_explicit",
    "cloth",
    "dgen",
    "I2D2",
    "args_me",
    "Touche23-ValueEval",
    "starcon",
    "banking77",
    "ConTRoL-nli",
    "tracie",
    "sherliic",
    "sen-making/1",
    "sen-making/2",
    "winowhy",
    "robustLR",
    "v1/gen_train234_test2to10",
    "logical-fallacy",
    "parade",
    "cladder",
    "subjectivity",
    "MOH",
    "VUAC",
    "sharc_modified/mod",
    "conceptrules_v2",
    "disrpt/eng.dep.scidtb.rels",
    "zero-shot-label-nli",
    "com2sense",
    "scone",
    "winodict",
    "fool-me-twice",
    "monli",
    "corr2cause",
    "lsat_qa/all",
    "apt",
    "twitter-financial-news-sentiment",
    "icl-symbol-tuning-instruct",
    "SpaceNLI",
    "propsegment/nli",
    "HatemojiBuild",
    "regset",
    "esci",
    "chatbot_arena_conversations",
    "dnd_style_intents",
    "FLD.v2/default",
    "FLD.v2/star",
    "SDOH-NLI",
    "scifact_entailment",
    "feasibilityQA",
    "simple_pair",
    "AdjectiveScaleProbe-nli",
    "resnli",
    "SpaRTUN",
    "ReSQ",
    "semantic_fragments_nli",
    "dataset_train_nli",
    "stepgame",
    "nlgraph",
    "oasst2_pairwise_rlhf_reward",
    "hh-rlhf/helpful-online",
    "hh-rlhf/helpful-rejection-sampled",
    "hh-rlhf/helpful-base",
    "hh-rlhf/harmless-base",
    "ruletaker",
    "PARARULE-Plus",
    "proofwriter",
    "logical-entailment",
    "nope",
    "LogicNLI",
    "contract-nli/contractnli_a/seg",
    "contract-nli/contractnli_b/full",
    "nli4ct_semeval2024",
    "lsat-ar",
    "lsat-rc",
    "biosift-nli",
    "brainteasers/SP",
    "brainteasers/WP",
    "persuasion",
    "AmbigNQ-clarifying-question",
    "SIGA-nli",
    "FOL-nli",
    "goal-step-wikihow/order",
    "PARADISE",
    "doc-nli",
    "mctest-nli",
    "patent-phrase-similarity",
    "natural-language-satisfiability",
    "idioms-nli",
    "lifecycle-entailment",
    "HelpSteer/helpfulness",
    "HelpSteer/correctness",
    "HelpSteer/coherence",
    "HelpSteer/complexity",
    "HelpSteer/verbosity",
    "HelpSteer2/helpfulness",
    "HelpSteer2/correctness",
    "HelpSteer2/coherence",
    "HelpSteer2/complexity",
    "HelpSteer2/verbosity",
    "MSciNLI",
    "UltraFeedback-paired",
    "AES2-essay-scoring",
    "english-grading/cohesion",
    "english-grading/syntax",
    "english-grading/vocabulary",
    "english-grading/phraseology",
    "english-grading/grammar",
    "english-grading/conventions",
    "wice",
    "hover",
    "tasksource_dpo_pairs",
    "seahorse_summarization_evaluation",
    "babi_nli",
    "gen_debiased_nli",
    "imppres/presupposition",
    "/prag",
    "blimp-2"
  ],
  "torch_dtype": "float32",
  "transformers_version": "4.42.3",
  "type_vocab_size": 0,
  "vocab_size": 128100
}