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### Dataset Summary
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BoolQ is a question answering dataset created by Google for yes/no questions containing 15942 examples. These questions are naturally
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occurring ---they are generated in unprompted and unconstrained settings.
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Each example was a triplet of (question, passage, answer), with the title of the page as optional additional context. I converted it to ShareGPT where the passage and answer are combined into one cohesive response from the AI.
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The text-pair classification setup is similar to existing natural language inference tasks.
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---
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### Dataset Summary
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[BoolQ](https://huggingface.co/datasets/google/boolq) is a question answering dataset created by Google for yes/no questions containing 15942 examples. These questions are naturally
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occurring ---they are generated in unprompted and unconstrained settings.
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Each example was a triplet of (question, passage, answer), with the title of the page as optional additional context. I converted it to ShareGPT where the passage and answer are combined into one cohesive response from the AI.
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The text-pair classification setup is similar to existing natural language inference tasks.
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### Licensing Information
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BoolQ is released under the [Creative Commons Share-Alike 3.0](https://creativecommons.org/licenses/by-sa/3.0/) license.
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### Citation Information
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```
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@inproceedings{clark2019boolq,
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title = {BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions},
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author = {Clark, Christopher and Lee, Kenton and Chang, Ming-Wei, and Kwiatkowski, Tom and Collins, Michael, and Toutanova, Kristina},
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booktitle = {NAACL},
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year = {2019},
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}
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```
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### Contributions
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Thanks to [@lewtun](https://github.com/lewtun), [@lhoestq](https://github.com/lhoestq), [@thomwolf](https://github.com/thomwolf), [@patrickvonplaten](https://github.com/patrickvonplaten), [@albertvillanova](https://github.com/albertvillanova) for adding this dataset.
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