Dataset Card for Boolq

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Homepage: More Information Needed
• Repository: https://github.com/google-research-datasets/boolean-questions
• Paper: https://arxiv.org/abs/1905.10044
• Point of Contact: More Information Needed
• Size of downloaded dataset files: 8.77 MB
• Size of the generated dataset: 7.83 MB
• Total amount of disk used: 16.59 MB

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 and Leaderboards

More Information Needed

Languages

More Information Needed

Dataset Structure

Data Instances

default

• Size of downloaded dataset files: 8.77 MB
• Size of the generated dataset: 7.83 MB
• Total amount of disk used: 16.59 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

Dataset Creation

Curation Rationale

More Information Needed

Source Data

Initial Data Collection and Normalization

More Information Needed

Who are the source language producers?

More Information Needed

Annotations

Annotation process

More Information Needed

Who are the annotators?

More Information Needed

Personal and Sensitive Information

More Information Needed

Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

More Information Needed

Other Known Limitations

More Information Needed

Additional Information

Dataset Curators

More Information Needed

Licensing Information

BoolQ is released under the Creative Commons Share-Alike 3.0 license.

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},
}

Contributions

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