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Dataset: asnq 🏷
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How to load this dataset directly with the πŸ€—/datasets library:

				
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from datasets import load_dataset dataset = load_dataset("asnq")

Description

ASNQ is a dataset for answer sentence selection derived from Google's Natural Questions (NQ) dataset (Kwiatkowski et al. 2019).

Each example contains a question, candidate sentence, label indicating whether or not the sentence answers the question, and two additional features -- sentence_in_long_answer and short_answer_in_sentence indicating whether ot not the candidate sentence is contained in the long_answer and if the short_answer is in the candidate sentence.

For more details please see https://arxiv.org/pdf/1911.04118.pdf

and

https://research.google/pubs/pub47761/

Citation

@article{garg2019tanda,
    title={TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection},
    author={Siddhant Garg and Thuy Vu and Alessandro Moschitti},
    year={2019},
    eprint={1911.04118},
}

Models trained or fine-tuned on asnq

None yet. Start fine-tuning now =)