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

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

Description

QASC is a question-answering dataset with a focus on sentence composition. It consists of 9,980 8-way multiple-choice questions about grade school science (8,134 train, 926 dev, 920 test), and comes with a corpus of 17M sentences.

Citation

@article{allenai:qasc,
      author    = {Tushar Khot and Peter Clark and Michal Guerquin and Peter Jansen and Ashish Sabharwal},
      title     = {QASC: A Dataset for Question Answering via Sentence Composition},
      journal   = {arXiv:1910.11473v2},
      year      = {2020},
}

Models trained or fine-tuned on qasc

None yet. Start fine-tuning now =)