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README.md

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+---
+datasets:
+- hellaswag
+- ag_news
+- pietrolesci/nli_fever
+- numer_sense
+- go_emotions
+- Ericwang/promptProficiency
+- poem_sentiment
+- pietrolesci/robust_nli_is_sd
+- sileod/probability_words_nli
+- social_i_qa
+- trec
+- pietrolesci/gen_debiased_nli
+- snips_built_in_intents
+- metaeval/imppres
+- metaeval/crowdflower
+- tals/vitaminc
+- dream
+- metaeval/babi_nli
+- Ericwang/promptSpoke
+- metaeval/ethics
+- art
+- ai2_arc
+- discovery
+- Ericwang/promptGrammar
+- code_x_glue_cc_clone_detection_big_clone_bench
+- prajjwal1/discosense
+- pietrolesci/joci
+- Anthropic/model-written-evals
+- utilitarianism
+- emo
+- tweets_hate_speech_detection
+- piqa
+- blog_authorship_corpus
+- SpeedOfMagic/ontonotes_english
+- circa
+- app_reviews
+- anli
+- Ericwang/promptSentiment
+- codah
+- definite_pronoun_resolution
+- health_fact
+- tweet_eval
+- hate_speech18
+- glue
+- hendrycks_test
+- paws
+- bigbench
+- hate_speech_offensive
+- blimp
+- sick
+- turingbench/TuringBench
+- martn-nguyen/contrast_nli
+- Anthropic/hh-rlhf
+- openbookqa
+- species_800
+- alisawuffles/WANLI
+- ethos
+- pietrolesci/mpe
+- wiki_hop
+- pietrolesci/glue_diagnostics
+- mc_taco
+- quarel
+- PiC/phrase_similarity
+- strombergnlp/rumoureval_2019
+- quail
+- acronym_identification
+- pietrolesci/robust_nli
+- quora
+- wnut_17
+- dynabench/dynasent
+- pietrolesci/gpt3_nli
+- truthful_qa
+- pietrolesci/add_one_rte
+- pietrolesci/breaking_nli
+- copenlu/scientific-exaggeration-detection
+- medical_questions_pairs
+- rotten_tomatoes
+- scicite
+- scitail
+- pietrolesci/dialogue_nli
+- code_x_glue_cc_defect_detection
+- nightingal3/fig-qa
+- pietrolesci/conj_nli
+- liar
+- sciq
+- head_qa
+- pietrolesci/dnc
+- quartz
+- wiqa
+- code_x_glue_cc_code_refinement
+- Ericwang/promptCoherence
+- joey234/nan-nli
+- hope_edi
+- jnlpba
+- yelp_review_full
+- pietrolesci/recast_white
+- swag
+- banking77
+- cosmos_qa
+- financial_phrasebank
+- hans
+- pietrolesci/fracas
+- math_qa
+- conll2003
+- qasc
+- ncbi_disease
+- mwong/fever-evidence-related
+- YaHi/EffectiveFeedbackStudentWriting
+- ade_corpus_v2
+- amazon_polarity
+- pietrolesci/robust_nli_li_ts
+- super_glue
+- adv_glue
+- Ericwang/promptNLI
+- cos_e
+- launch/open_question_type
+- lex_glue
+- has_part
+- pragmeval
+- sem_eval_2010_task_8
+- imdb
+- humicroedit
+- sms_spam
+- dbpedia_14
+- commonsense_qa
+- hlgd
+- snli
+- hyperpartisan_news_detection
+- google_wellformed_query
+- raquiba/Sarcasm_News_Headline
+- metaeval/recast
+- winogrande
+- relbert/lexical_relation_classification
+- metaeval/linguisticprobing
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+#  Table of Contents
+
+1. [Model Details](#model-details)
+2. [Uses](#uses)
+3. [Bias, Risks, and Limitations](#bias-risks-and-limitations)
+4. [Training Details](#training-details)
+5. [Evaluation](#evaluation)
+6. [Model Examination](#model-examination-optional)
+7. [Environmental Impact](#environmental-impact)
+8. [Technical Specifications](#technical-specifications-optional)
+9. [Citation](#citation-optional)
+10. [Glossary](#glossary-optional)
+11. [More Information](#more-information-optional)
+12. [Model Card Authors](#model-card-authors-optional)
+13. [Model Card Contact](#model-card-contact)
+14. [How To Get Started With the Model](#how-to-get-started-with-the-model)
+
+
+# Model Details
+
+## Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Related Models [optional]:** [More Information Needed]
+    - **Parent Model [optional]:** [More Information Needed]
+- **Resources for more information:** [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 recomendations.
+
+# Training Details
+
+## Training Data
+
+<!-- This should link to a Data 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 [optional]
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+### Preprocessing
+
+[More Information Needed]
+
+### Speeds, Sizes, Times
+
+<!-- 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 Data 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]
+
+# 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]
+
+# How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+<details>
+<summary> Click to expand </summary>
+
+[More Information Needed]
+
+</details>