Dataset Card for "qa_zre"

Dataset Summary

A dataset reducing relation extraction to simple reading comprehension questions

Supported Tasks

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Languages

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Dataset Structure

We show detailed information for up to 5 configurations of the dataset.

Data Instances

default

• Size of downloaded dataset files: 492.15 MB
• Size of the generated dataset: 1989.22 MB
• Total amount of disk used: 2481.37 MB

An example of 'validation' looks as follows.

{
    "answers": [],
    "context": "answer",
    "question": "What is XXX in this question?",
    "relation": "relation_name",
    "subject": "Some entity Here is a bit of context which will explain the question in some way"
}

Data Fields

The data fields are the same among all splits.

default

• relation: a string feature.
• question: a string feature.
• subject: a string feature.
• context: a string feature.
• answers: a list of string features.

Data Splits Sample Size

Dataset Creation

Curation Rationale

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Source Data

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Annotations

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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Citation Information

@inproceedings{levy-etal-2017-zero,
    title = "Zero-Shot Relation Extraction via Reading Comprehension",
    author = "Levy, Omer  and
      Seo, Minjoon  and
      Choi, Eunsol  and
      Zettlemoyer, Luke",
    booktitle = "Proceedings of the 21st Conference on Computational Natural Language Learning ({C}o{NLL} 2017)",
    month = aug,
    year = "2017",
    address = "Vancouver, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/K17-1034",
    doi = "10.18653/v1/K17-1034",
    pages = "333--342",
}

Contributions

Thanks to @thomwolf, @lhoestq, @ghomasHudson, @lewtun for adding this dataset.