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Dataset: scitail 🏷
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How to load this dataset directly with the 🤗/nlp library:

				
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from nlp import load_dataset dataset = load_dataset("scitail")

Description

The SciTail dataset is an entailment dataset created from multiple-choice science exams and web sentences. Each question and the correct answer choice are converted into an assertive statement to form the hypothesis. We use information retrieval to obtain relevant text from a large text corpus of web sentences, and use these sentences as a premise P. We crowdsource the annotation of such premise-hypothesis pair as supports (entails) or not (neutral), in order to create the SciTail dataset. The dataset contains 27,026 examples with 10,101 examples with entails label and 16,925 examples with neutral label

Citation

inproceedings{scitail,
     Author = {Tushar Khot and Ashish Sabharwal and Peter Clark},
     Booktitle = {AAAI},
     Title = {{SciTail}: A Textual Entailment Dataset from Science Question Answering},
     Year = {2018}
}

Models trained or fine-tuned on scitail

None yet. Start fine-tuning now =)