Dataset: boolq


Dataset Card for "boolq"

Table of Contents

Dataset Description

Dataset Summary

BoolQ is a question answering dataset for yes/no questions containing 15942 examples. These questions are naturally occurring ---they are generated in unprompted and unconstrained settings. Each example is a triplet of (question, passage, answer), with the title of the page as optional additional context. The text-pair classification setup is similar to existing natural language inference tasks.

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: 8.36 MB
  • Size of the generated dataset: 7.47 MB
  • Total amount of disk used: 15.82 MB

An example of 'validation' looks as follows.

This example was too long and was cropped:

{
    "answer": false,
    "passage": "\"All biomass goes through at least some of these steps: it needs to be grown, collected, dried, fermented, distilled, and burned...",
    "question": "does ethanol take more energy make that produces"
}

Data Fields

The data fields are the same among all splits.

default

  • question: a string feature.
  • answer: a bool feature.
  • passage: a string feature.

Data Splits Sample Size

name train validation
default 9427 3270

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{clark2019boolq,
  title =     {BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions},
  author =    {Clark, Christopher and Lee, Kenton and Chang, Ming-Wei, and Kwiatkowski, Tom and Collins, Michael, and Toutanova, Kristina},
  booktitle = {NAACL},
  year =      {2019},
}

Models trained or fine-tuned on boolq

None yet