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Dataset Card for QaZre

Dataset Summary

A dataset reducing relation extraction to simple reading comprehension questions

Supported Tasks and Leaderboards

More Information Needed

Languages

More Information Needed

Dataset Structure

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

name	train	validation	test
default	8400000	6000	120000

Dataset Creation

Curation Rationale

More Information Needed

Source Data

Initial Data Collection and Normalization

More Information Needed

Who are the source language producers?

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Annotations

Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

More Information Needed

Licensing Information

Unknown.

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",
}