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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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+
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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.