bigbio/sciq

Dataset

language:

3

10 commits

1 linked in READMEs

updated Dec 22, 2022

See the code

README


language:

  • en bigbio_language:
  • English license: cc-by-nc-3.0 multilinguality: monolingual bigbio_license_shortname: CC_BY_NC_3p0 pretty_name: SciQ homepage: https://allenai.org/data/sciq bigbio_pubmed: False bigbio_public: True bigbio_tasks:
  • QUESTION_ANSWERING

Dataset Card for SciQ

Dataset Description

The SciQ dataset contains 13,679 crowdsourced science exam questions about Physics, Chemistry and Biology, among others. The questions are in multiple-choice format with 4 answer options each. For most questions, an additional paragraph with supporting evidence for the correct answer is provided.

Citation Information


@inproceedings{welbl-etal-2017-crowdsourcing,
    title = "Crowdsourcing Multiple Choice Science Questions",
    author = "Welbl, Johannes  and
      Liu, Nelson F.  and
      Gardner, Matt",
    booktitle = "Proceedings of the 3rd Workshop on Noisy User-generated Text",
    month = sep,
    year = "2017",
    address = "Copenhagen, Denmark",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W17-4413",
    doi = "10.18653/v1/W17-4413",
    pages = "94--106",
}

bigbio/sciq

Dataset

language:

3

10 commits

1 linked in READMEs

updated Dec 22, 2022

See the code

README


language:

  • en bigbio_language:
  • English license: cc-by-nc-3.0 multilinguality: monolingual bigbio_license_shortname: CC_BY_NC_3p0 pretty_name: SciQ homepage: https://allenai.org/data/sciq bigbio_pubmed: False bigbio_public: True bigbio_tasks:
  • QUESTION_ANSWERING

Dataset Card for SciQ

Dataset Description

The SciQ dataset contains 13,679 crowdsourced science exam questions about Physics, Chemistry and Biology, among others. The questions are in multiple-choice format with 4 answer options each. For most questions, an additional paragraph with supporting evidence for the correct answer is provided.

Citation Information


@inproceedings{welbl-etal-2017-crowdsourcing,
    title = "Crowdsourcing Multiple Choice Science Questions",
    author = "Welbl, Johannes  and
      Liu, Nelson F.  and
      Gardner, Matt",
    booktitle = "Proceedings of the 3rd Workshop on Noisy User-generated Text",
    month = sep,
    year = "2017",
    address = "Copenhagen, Denmark",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W17-4413",
    doi = "10.18653/v1/W17-4413",
    pages = "94--106",
}