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BoolQ Dataset

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.

By sampling questions from a distribution of information-seeking queries (rather than prompting annotators for text pairs), we observe significantly more challenging examples compared to existing NLI datasets.

More details are available in our paper, which can be cited as follows.

@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},
}

Dataset Description

The BoolQ dataset release consists of three .jsonl files, where each line is a JSON dictionary with the following format:

{
  "question": "is france the same timezone as the uk",
  "passage": "At the Liberation of France in the summer of 1944, Metropolitan France kept GMT+2 as it was the time then used by the Allies (British Double Summer Time). In the winter of 1944--1945, Metropolitan France switched to GMT+1, same as in the United Kingdom, and switched again to GMT+2 in April 1945 like its British ally. In September 1945, Metropolitan France returned to GMT+1 (pre-war summer time), which the British had already done in July 1945. Metropolitan France was officially scheduled to return to GMT+0 on November 18, 1945 (the British returned to GMT+0 in on October 7, 1945), but the French government canceled the decision on November 5, 1945, and GMT+1 has since then remained the official time of Metropolitan France."
  "answer": false,
  "title": "Time in France",
}

The files are:

• train.jsonl: 9427 labeled training examples
• dev.jsonl: 3270 labeled development examples
• test.jsonl: 3245 unlabeled test examples

The test data with hidden labels will be released at a later date, along with a leaderboard submission system.

Dataset Links

• Training set
• Development set

Leaderboard Submission

Coming soon!

License

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