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README.md

@@ -0,0 +1,199 @@
+---
+library_name: transformers
+tags: []
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]

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+    [
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+    [
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+      0
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+    [
+      0
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+    [
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+    [
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+    [
+      0
+    ],
+    [
+      0
+    ],
+    [
+      0
+    ],
+    [
+      0
+    ],
+    [
+      "A",
+      "B",
+      "C",
+      "D"
+    ],
+    [
+      0
+    ],
+    [
+      "A",
+      "B"
+    ],
+    [
+      0
+    ],
+    [
+      0
+    ],
+    [
+      0
+    ],
+    [
+      "1",
+      "2",
+      "3"
+    ],
+    [
+      0
+    ],
+    [
+      "A",
+      "B",
+      "C"
+    ],
+    [
+      "0",
+      "1"
+    ],
+    [
+      "0",
+      "1",
+      "2",
+      "3"
+    ],
+    [
+      "choice1",
+      "choice2"
+    ],
+    [
+      0,
+      1
+    ],
+    [
+      0,
+      1
+    ],
+    [
+      0,
+      1
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+    [
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+    [
+      0
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+    [
+      0
+    ],
+    [
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+    ],
+    [
+      "0",
+      "1",
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+      "3"
+    ],
+    [
+      0
+    ],
+    [
+      "unacceptable",
+      "acceptable"
+    ],
+    [
+      "negative",
+      "positive"
+    ],
+    [
+      0,
+      1
+    ],
+    [
+      0,
+      1
+    ],
+    [
+      "insincere question",
+      "valid question"
+    ],
+    [
+      0,
+      1
+    ],
+    [
+      "ctrl",
+      "fair_wmt19",
+      "fair_wmt20",
+      "gpt1",
+      "gpt2_large",
+      "gpt2_medium",
+      "gpt2_pytorch",
+      "gpt2_small",
+      "gpt2_xl",
+      "gpt3",
+      "grover_base",
+      "grover_large",
+      "grover_mega",
+      "human",
+      "pplm_distil",
+      "pplm_gpt2",
+      "transfo_xl",
+      "xlm",
+      "xlnet_base",
+      "xlnet_large"
+    ],
+    [
+      "ABBR:abb",
+      "ABBR:exp",
+      "ENTY:animal",
+      "ENTY:body",
+      "ENTY:color",
+      "ENTY:cremat",
+      "ENTY:currency",
+      "ENTY:dismed",
+      "ENTY:event",
+      "ENTY:food",
+      "ENTY:instru",
+      "ENTY:lang",
+      "ENTY:letter",
+      "ENTY:other",
+      "ENTY:plant",
+      "ENTY:product",
+      "ENTY:religion",
+      "ENTY:sport",
+      "ENTY:substance",
+      "ENTY:symbol",
+      "ENTY:techmeth",
+      "ENTY:termeq",
+      "ENTY:veh",
+      "ENTY:word",
+      "DESC:def",
+      "DESC:desc",
+      "DESC:manner",
+      "DESC:reason",
+      "HUM:gr",
+      "HUM:ind",
+      "HUM:title",
+      "HUM:desc",
+      "LOC:city",
+      "LOC:country",
+      "LOC:mount",
+      "LOC:other",
+      "LOC:state",
+      "NUM:code",
+      "NUM:count",
+      "NUM:date",
+      "NUM:dist",
+      "NUM:money",
+      "NUM:ord",
+      "NUM:other",
+      "NUM:period",
+      "NUM:perc",
+      "NUM:speed",
+      "NUM:temp",
+      "NUM:volsize",
+      "NUM:weight"
+    ],
+    [
+      "NOT ENOUGH INFO",
+      "REFUTES",
+      "SUPPORTS"
+    ],
+    [
+      "Hope_speech",
+      "Non_hope_speech",
+      "not-English"
+    ],
+    [
+      "support",
+      "deny",
+      "query",
+      "comment"
+    ],
+    [
+      "no_hate_speech",
+      "hate_speech"
+    ],
+    [],
+    [
+      "\u2764",
+      "\ud83d\ude0d",
+      "\ud83d\ude02",
+      "\ud83d\udc95",
+      "\ud83d\udd25",
+      "\ud83d\ude0a",
+      "\ud83d\ude0e",
+      "\u2728",
+      "\ud83d\udc99",
+      "\ud83d\ude18",
+      "\ud83d\udcf7",
+      "\ud83c\uddfa\ud83c\uddf8",
+      "\u2600",
+      "\ud83d\udc9c",
+      "\ud83d\ude09",
+      "\ud83d\udcaf",
+      "\ud83d\ude01",
+      "\ud83c\udf84",
+      "\ud83d\udcf8",
+      "\ud83d\ude1c"
+    ],
+    [
+      "non-hate",
+      "hate"
+    ],
+    [
+      "non-offensive",
+      "offensive"
+    ],
+    [
+      "anger",
+      "joy",
+      "optimism",
+      "sadness"
+    ],
+    [
+      "non_irony",
+      "irony"
+    ],
+    [
+      "negative",
+      "neutral",
+      "positive"
+    ],
+    [
+      "none",
+      "against",
+      "favor"
+    ],
+    [
+      "none",
+      "against",
+      "favor"
+    ],
+    [
+      "none",
+      "against",
+      "favor"
+    ],
+    [
+      "none",
+      "against",
+      "favor"
+    ],
+    [
+      "none",
+      "against",
+      "favor"
+    ],
+    [
+      "[no-conn]",
+      "absolutely,",
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+      "obviously,",
+      "occasionally,",
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+      "on_the_other_hand",
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+      "seriously,",
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+      "together,",
+      "traditionally,",
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+      "unsurprisingly,",
+      "usually,",
+      "well,",
+      "yet,"
+    ],
+    [
+      "low",
+      "high"
+    ],
+    [
+      "experiential",
+      "unverifiable",
+      "non-experiential"
+    ],
+    [
+      "Declarative-Question",
+      "Statement",
+      "Reject",
+      "Or-Clause",
+      "3rd-party-talk",
+      "Continuer",
+      "Hold Before Answer/Agreement",
+      "Assessment/Appreciation",
+      "Signal-non-understanding",
+      "Floor Holder",
+      "Sympathy",
+      "Dispreferred Answers",
+      "Reformulate/Summarize",
+      "Exclamation",
+      "Interrupted/Abandoned/Uninterpretable",
+      "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",
+      "Wh-Question",
+      "Repeat",
+      "Follow Me",
+      "Thanking",
+      "Offer",
+      "About-task",
+      "Reject-part",
+      "Affirmative Non-yes Answers",
+      "Apology",
+      "Downplayer",
+      "Humorous Material",
+      "Accept-part",
+      "Collaborative Completion",
+      "Mimic Other",
+      "Understanding Check",
+      "Misspeak Self-Correction",
+      "Or-Question",
+      "Topic Change",
+      "Negative Non-no Answers",
+      "Floor Grabber",
+      "Correct-misspeaking",
+      "Maybe",
+      "Acknowledge-answer",
+      "Defending/Explanation"
+    ],
+    [
+      "Response Acknowledgement",
+      "Uninterpretable",
+      "Or-Clause",
+      "Reject",
+      "Statement-non-opinion",
+      "3rd-party-talk",
+      "Repeat-phrase",
+      "Hold Before Answer/Agreement",
+      "Signal-non-understanding",
+      "Offers, Options Commits",
+      "Agree/Accept",
+      "Dispreferred Answers",
+      "Hedge",
+      "Action-directive",
+      "Tag-Question",
+      "Self-talk",
+      "Yes-No-Question",
+      "Rhetorical-Question",
+      "No Answers",
+      "Open-Question",
+      "Conventional-closing",
+      "Other Answers",
+      "Acknowledge (Backchannel)",
+      "Wh-Question",
+      "Declarative Wh-Question",
+      "Thanking",
+      "Yes Answers",
+      "Affirmative Non-yes Answers",
+      "Declarative Yes-No-Question",
+      "Backchannel in Question Form",
+      "Apology",
+      "Downplayer",
+      "Conventional-opening",
+      "Collaborative Completion",
+      "Summarize/Reformulate",
+      "Negative Non-no Answers",
+      "Statement-opinion",
+      "Appreciation",
+      "Other",
+      "Quotation",
+      "Maybe/Accept-part"
+    ],
+    [
+      "low",
+      "high"
+    ],
+    [
+      "low",
+      "high"
+    ],
+    [
+      "low",
+      "high"
+    ],
+    [
+      "low",
+      "high"
+    ],
+    [
+      "low",
+      "high"
+    ],
+    [
+      "notsarc",
+      "sarc"
+    ],
+    [
+      "low",
+      "high"
+    ],
+    [
+      "Comment",
+      "Contrast",
+      "Q_Elab",
+      "Parallel",
+      "Explanation",
+      "Narration",
+      "Continuation",
+      "Result",
+      "Acknowledgement",
+      "Alternation",
+      "Question_answer_pair",
+      "Correction",
+      "Clarification_question",
+      "Conditional",
+      "Sequence",
+      "Elaboration",
+      "Background",
+      "no_relation"
+    ],
+    [
+      "observing",
+      "for",
+      "against"
+    ],
+    [
+      "Synchrony",
+      "Contrast",
+      "Asynchronous",
+      "Conjunction",
+      "List",
+      "Condition",
+      "Pragmatic concession",
+      "Restatement",
+      "Pragmatic cause",
+      "Alternative",
+      "Pragmatic condition",
+      "Pragmatic contrast",
+      "Instantiation",
+      "Exception",
+      "Cause",
+      "Concession"
+    ],
+    [
+      "preparation",
+      "evaluation",
+      "circumstance",
+      "solutionhood",
+      "justify",
+      "result",
+      "evidence",
+      "purpose",
+      "concession",
+      "elaboration",
+      "background",
+      "condition",
+      "cause",
+      "restatement",
+      "motivation",
+      "antithesis",
+      "no_relation"
+    ],
+    [
+      "Value",
+      "Fact",
+      "Policy"
+    ],
+    [
+      "low",
+      "high"
+    ],
+    [
+      "testimony",
+      "warrant",
+      "invented_instance",
+      "common_knowledge",
+      "statistics",
+      "analogy",
+      "definition",
+      "real_example"
+    ],
+    [
+      "low",
+      "high"
+    ],
+    [
+      "low",
+      "high"
+    ],
+    [
+      "Negative",
+      "Neutral",
+      "Positive"
+    ],
+    [
+      "negative",
+      "neutral",
+      "positive"
+    ],
+    [
+      "accept",
+      "ackn",
+      "answ",
+      "answElab",
+      "appreciate",
+      "backch",
+      "bye",
+      "complete",
+      "confirm",
+      "correct",
+      "direct",
+      "directElab",
+      "echo",
+      "exclaim",
+      "expressOpinion",
+      "expressPossibility",
+      "expressRegret",
+      "expressWish",
+      "greet",
+      "hold",
+      "identifySelf",
+      "inform",
+      "informCont",
+      "informDisc",
+      "informIntent",
+      "init",
+      "negate",
+      "offer",
+      "pardon",
+      "raiseIssue",
+      "refer",
+      "refuse",
+      "reqDirect",
+      "reqInfo",
+      "reqModal",
+      "selfTalk",
+      "suggest",
+      "thank",
+      "informIntent-hold",
+      "correctSelf",
+      "expressRegret-inform",
+      "thank-identifySelf"
+    ],
+    [
+      "commissive",
+      "directive",
+      "inform",
+      "question"
+    ],
+    [
+      "anger",
+      "disgust",
+      "fear",
+      "happiness",
+      "no emotion",
+      "sadness",
+      "surprise"
+    ],
+    [
+      "ang",
+      "dis",
+      "exc",
+      "fea",
+      "fru",
+      "hap",
+      "neu",
+      "oth",
+      "sad",
+      "sur",
+      "xxx"
+    ],
+    [
+      "acknowledge",
+      "align",
+      "check",
+      "clarify",
+      "explain",
+      "instruct",
+      "query_w",
+      "query_yn",
+      "ready",
+      "reply_n",
+      "reply_w",
+      "reply_y"
+    ],
+    [
+      "anger",
+      "disgust",
+      "fear",
+      "joy",
+      "neutral",
+      "sadness",
+      "surprise"
+    ],
+    [],
+    [
+      "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
+    ],
+    [
+      "false",
+      "true"
+    ],
+    [
+      "COMPARE",
+      "CONJUNCTION",
+      "EVALUATE-FOR",
+      "FEATURE-OF",
+      "HYPONYM-OF",
+      "PART-OF",
+      "USED-FOR"
+    ],
+    [
+      "Background",
+      "CompareOrContrast",
+      "Extends",
+      "Future",
+      "Motivation",
+      "Uses"
+    ],
+    [],
+    [
+      "method",
+      "background",
+      "result"
+    ],
+    [
+      "false",
+      "half-true",
+      "mostly-true",
+      "true",
+      "barely-true",
+      "pants-fire"
+    ],
+    [
+      "attri",
+      "coord",
+      "event",
+      "hyper",
+      "mero",
+      "random"
+    ],
+    [
+      "Antonym",
+      "HasA",
+      "HasProperty",
+      "IsA",
+      "MadeOf",
+      "PartOf",
+      "Synonym"
+    ],
+    [
+      "ANT",
+      "HYPER",
+      "PART_OF",
+      "RANDOM",
+      "SYN"
+    ],
+    [
+      "false",
+      "hypo",
+      "mero",
+      "sibl"
+    ],
+    [
+      "COORD",
+      "HYPER",
+      "RANDOM"
+    ],
+    [
+      "depth_5",
+      "depth_6",
+      "depth_7",
+      "depth_8",
+      "depth_9",
+      "depth_10",
+      "depth_11"
+    ],
+    [
+      "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_."
+    ],
+    [
+      "NN",
+      "NNS"
+    ],
+    [
+      "I",
+      "O"
+    ],
+    [
+      "C",
+      "O"
+    ],
+    [
+      "I",
+      "O"
+    ],
+    [
+      "PAST",
+      "PRES"
+    ],
+    [
+      0,
+      1,
+      2,
+      3,
+      4,
+      5
+    ],
+    [
+      "NN",
+      "NNS"
+    ],
+    [
+      "information",
+      "support",
+      "policy",
+      "constituency",
+      "personal",
+      "other",
+      "media",
+      "mobilization",
+      "attack"
+    ],
+    [
+      "Information",
+      "Action",
+      "Exclude",
+      "Dialogue"
+    ],
+    [
+      "Yes",
+      "No"
+    ],
+    [
+      "Neutral / author is just sharing information",
+      "Negative",
+      "Tweet NOT related to nuclear energy",
+      "Positive"
+    ],
+    [
+      "sadness",
+      "empty",
+      "relief",
+      "hate",
+      "worry",
+      "enthusiasm",
+      "happiness",
+      "neutral",
+      "love",
+      "fun",
+      "anger",
+      "surprise",
+      "boredom"
+    ],
+    [
+      "neutral",
+      "positive",
+      "negative"
+    ],
+    [
+      "not sure",
+      "yes",
+      "no"
+    ],
+    [
+      "partisan",
+      "neutral"
+    ],
+    [
+      "constituency",
+      "national"
+    ],
+    [
+      "acceptable",
+      "unacceptable"
+    ],
+    [
+      "acceptable",
+      "unacceptable"
+    ],
+    [
+      "acceptable",
+      "unacceptable"
+    ],
+    [
+      "acceptable",
+      "unacceptable"
+    ],
+    [
+      "others",
+      "happy",
+      "sad",
+      "angry"
+    ],
+    [],
+    [
+      "no-hate-speech",
+      "hate-speech"
+    ],
+    [],
+    [
+      "female",
+      "male"
+    ],
+    [
+      13,
+      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
+    ],
+    [
+      "Accounting",
+      "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"
+    ],
+    [
+      "cause",
+      "comparison",
+      "concept",
+      "consequence",
+      "disjunction",
+      "example",
+      "extent",
+      "judgmental",
+      "procedural",
+      "verification"
+    ],
+    [
+      "false",
+      "mixture",
+      "true",
+      "unproven"
+    ],
+    [
+      0
+    ],
+    [
+      "no",
+      "yes"
+    ],
+    [
+      "Not-Related",
+      "Related"
+    ],
+    [
+      0
+    ],
+    [
+      "Yes",
+      "No",
+      "In the middle, neither yes nor no",
+      "Yes, subject to some conditions",
+      "Other"
+    ],
+    [
+      "negative",
+      "positive"
+    ],
+    [
+      "downplays",
+      "exaggerates",
+      "same"
+    ],
+    [
+      "A",
+      "B"
+    ],
+    [
+      "not_related",
+      "related"
+    ],
+    [
+      "eight",
+      "five",
+      "four",
+      "nine",
+      "no",
+      "one",
+      "seven",
+      "six",
+      "ten",
+      "three",
+      "two",
+      "zero"
+    ],
+    [
+      "negative",
+      "neutral",
+      "positive"
+    ],
+    [
+      "negative",
+      "neutral",
+      "positive"
+    ],
+    [
+      0,
+      1
+    ],
+    [
+      "Cause-Effect(e1,e2)",
+      "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"
+    ],
+    [
+      0,
+      1,
+      2
+    ],
+    [
+      "a",
+      "b",
+      "c",
+      "d"
+    ],
+    [
+      0,
+      1
+    ],
+    [
+      0,
+      1
+    ],
+    [
+      0,
+      1
+    ],
+    [
+      0,
+      1
+    ],
+    [
+      0,
+      1
+    ],
+    [
+      0
+    ],
+    [
+      "False",
+      "True"
+    ],
+    [
+      "False",
+      "True"
+    ],
+    [
+      0
+    ],
+    [],
+    [
+      "no",
+      "yes"
+    ],
+    [
+      "entailment",
+      "neutral",
+      "contradiction"
+    ],
+    [
+      "entailment",
+      "neutral"
+    ],
+    [
+      0,
+      1
+    ],
+    [
+      "contrasting",
+      "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"
+    ],
+    [
+      "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,
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+      "General",
+      "Greeting",
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+      "Joke",
+      "Knowledge",
+      "Message",
+      "Move",
+      "Protect",
+      "Recieve quest",
+      "Threat"
+    ],
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+    ],
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+    [
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+      "left",
+      "lower-left",
+      "lower-right",
+      "overlap",
+      "right",
+      "upper-left",
+      "upper-right"
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+      "Unknown"
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+      "self_contradiction"
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+      "entailment",
+      "neutral"
+    ],
+    [
+      "contradiction",
+      "entailment",
+      "neutral"
+    ],
+    [
+      "Contradiction",
+      "Entailment"
+    ],
+    [
+      0
+    ],
+    [
+      0
+    ],
+    [
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+      "not-entailment"
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+      -1,
+      0,
+      1,
+      2,
+      3,
+      4,
+      5
+    ],
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+      "not ambiguous"
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+      "not_entailment"
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+    [
+      "entailment",
+      "non_entailment"
+    ],
+    [
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+      "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"
+    ],
+    [
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+      "inconsistent"
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+      3,
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+      "contradiction"
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+    [
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+      "_contradiction"
+    ],
+    [
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+      "pragmatic_neutral",
+      "pragmatic_contradiction"
+    ],
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+    ]
+  ],
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+  "max_position_embeddings": 1024,
+  "max_relative_positions": -1,
+  "model_type": "deberta-v2",
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+  "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": [
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+  ],
+  "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_sentiment",
+    "recast/recast_ner",
+    "recast/recast_verbcorner",
+    "recast/recast_verbnet",
+    "recast/recast_factuality",
+    "recast/recast_puns",
+    "recast/recast_kg_relations",
+    "recast/recast_megaveridicality",
+    "probability_words_nli/reasoning_1hop",
+    "probability_words_nli/reasoning_2hop",
+    "probability_words_nli/usnli",
+    "nan-nli/joey234--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_connectives/log",
+    "imppres/implicature_gradable_adjective/log",
+    "imppres/implicature_quantifiers/log",
+    "imppres/implicature_numerals_10_100/log",
+    "imppres/implicature_modals/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/general_knowledge",
+    "bigbench/physical_intuition",
+    "bigbench/bbq_lite_json",
+    "bigbench/elementary_math_qa",
+    "bigbench/human_organs_senses",
+    "bigbench/misconceptions",
+    "bigbench/social_iqa",
+    "bigbench/causal_judgment",
+    "bigbench/physics",
+    "bigbench/identify_math_theorems",
+    "bigbench/fact_checker",
+    "bigbench/empirical_judgments",
+    "bigbench/key_value_maps",
+    "bigbench/hhh_alignment",
+    "bigbench/logical_deduction",
+    "bigbench/similarities_abstraction",
+    "bigbench/color",
+    "bigbench/evaluating_information_essentiality",
+    "bigbench/temporal_sequences",
+    "bigbench/authorship_verification",
+    "bigbench/conceptual_combinations",
+    "bigbench/gre_reading_comprehension",
+    "bigbench/symbol_interpretation",
+    "bigbench/undo_permutation",
+    "bigbench/snarks",
+    "bigbench/mnist_ascii",
+    "bigbench/arithmetic",
+    "bigbench/nonsense_words_grammar",
+    "bigbench/logical_sequence",
+    "bigbench/movie_recommendation",
+    "bigbench/cs_algorithms",
+    "bigbench/anachronisms",
+    "bigbench/known_unknowns",
+    "bigbench/intent_recognition",
+    "bigbench/entailed_polarity",
+    "bigbench/tracking_shuffled_objects",
+    "bigbench/salient_translation_error_detection",
+    "bigbench/implicatures",
+    "bigbench/international_phonetic_alphabet_nli",
+    "bigbench/mathematical_induction",
+    "bigbench/irony_identification",
+    "bigbench/movie_dialog_same_or_different",
+    "bigbench/moral_permissibility",
+    "bigbench/goal_step_wikihow",
+    "bigbench/fantasy_reasoning",
+    "bigbench/timedial",
+    "bigbench/figure_of_speech_detection",
+    "bigbench/checkmate_in_one",
+    "bigbench/winowhy",
+    "bigbench/dyck_languages",
+    "bigbench/social_support",
+    "bigbench/unit_interpretation",
+    "bigbench/english_proverbs",
+    "bigbench/ruin_names",
+    "bigbench/crash_blossom",
+    "bigbench/emojis_emotion_prediction",
+    "bigbench/understanding_fables",
+    "bigbench/implicit_relations",
+    "bigbench/cifar10_classification",
+    "bigbench/analytic_entailment",
+    "bigbench/vitaminc_fact_verification",
+    "bigbench/phrase_relatedness",
+    "bigbench/epistemic_reasoning",
+    "bigbench/penguins_in_a_table",
+    "bigbench/question_selection",
+    "bigbench/reasoning_about_colored_objects",
+    "bigbench/strategyqa",
+    "bigbench/dark_humor_detection",
+    "bigbench/formal_fallacies_syllogisms_negation",
+    "bigbench/odd_one_out",
+    "bigbench/novel_concepts",
+    "bigbench/hyperbaton",
+    "bigbench/suicide_risk",
+    "bigbench/navigate",
+    "bigbench/crass_ai",
+    "bigbench/hindu_knowledge",
+    "bigbench/disambiguation_qa",
+    "bigbench/riddle_sense",
+    "bigbench/presuppositions_as_nli",
+    "bigbench/strange_stories",
+    "bigbench/emoji_movie",
+    "bigbench/metaphor_understanding",
+    "bigbench/logical_args",
+    "bigbench/identify_odd_metaphor",
+    "bigbench/logical_fallacy_detection",
+    "bigbench/code_line_description",
+    "bigbench/geometric_shapes",
+    "bigbench/discourse_marker_prediction",
+    "bigbench/sentence_ambiguity",
+    "bigbench/abstract_narrative_understanding",
+    "bigbench/analogical_similarity",
+    "bigbench/cause_and_effect",
+    "bigbench/simple_ethical_questions",
+    "bigbench/sports_understanding",
+    "bigbench/date_understanding",
+    "bigbench/metaphor_boolean",
+    "bigbench/logic_grid_puzzle",
+    "bigbench/contextual_parametric_knowledge_conflicts",
+    "bigbench/real_or_fake_text",
+    "bigbench/play_dialog_same_or_different",
+    "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/tals--vitaminc",
+    "hope_edi/english",
+    "rumoureval_2019/RumourEval2019",
+    "ethos/binary",
+    "ethos/multilabel",
+    "tweet_eval/emoji",
+    "tweet_eval/hate",
+    "tweet_eval/offensive",
+    "tweet_eval/emotion",
+    "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-informativeness",
+    "pragmeval/verifiability",
+    "pragmeval/mrda",
+    "pragmeval/switchboard",
+    "pragmeval/emobank-arousal",
+    "pragmeval/emobank-valence",
+    "pragmeval/emobank-dominance",
+    "pragmeval/squinky-formality",
+    "pragmeval/squinky-implicature",
+    "pragmeval/sarcasm",
+    "pragmeval/persuasiveness-specificity",
+    "pragmeval/stac",
+    "pragmeval/emergent",
+    "pragmeval/pdtb",
+    "pragmeval/gum",
+    "pragmeval/persuasiveness-claimtype",
+    "pragmeval/persuasiveness-strength",
+    "pragmeval/persuasiveness-premisetype",
+    "pragmeval/persuasiveness-relevance",
+    "pragmeval/persuasiveness-eloquence",
+    "silicone/sem",
+    "silicone/meld_s",
+    "silicone/oasis",
+    "silicone/dyda_da",
+    "silicone/dyda_e",
+    "silicone/iemocap",
+    "silicone/maptask",
+    "silicone/meld_e",
+    "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/BLESS",
+    "lexical_relation_classification/EVALution",
+    "lexical_relation_classification/CogALexV",
+    "lexical_relation_classification/K&H+N",
+    "lexical_relation_classification/ROOT09",
+    "linguisticprobing/tree_depth",
+    "linguisticprobing/top_constituents",
+    "linguisticprobing/subj_number",
+    "linguisticprobing/bigram_shift",
+    "linguisticprobing/odd_man_out",
+    "linguisticprobing/coordination_inversion",
+    "linguisticprobing/past_present",
+    "linguisticprobing/sentence_length",
+    "linguisticprobing/obj_number",
+    "crowdflower/political-media-message",
+    "crowdflower/corporate-messaging",
+    "crowdflower/tweet_global_warming",
+    "crowdflower/sentiment_nuclear_power",
+    "crowdflower/text_emotion",
+    "crowdflower/airline-sentiment",
+    "crowdflower/economic-news",
+    "crowdflower/political-media-bias",
+    "crowdflower/political-media-audience",
+    "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/mwong--fever-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/demo-org--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",
+    "TroFi",
+    "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-base",
+    "hh-rlhf/helpful-rejection-sampled",
+    "hh-rlhf/helpful-online",
+    "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/WP",
+    "brainteasers/SP",
+    "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",
+    "babi_nli",
+    "gen_debiased_nli",
+    "imppres/presupposition",
+    "/prag",
+    "blimp-2"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2",
+  "type_vocab_size": 0,
+  "vocab_size": 128100
+}

pytorch_model.bin

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