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  [BoolQ](https://huggingface.co/datasets/google/boolq) is a question answering dataset created by [Google](https://huggingface.co/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](https://huggingface.co/datasets/google/boolq) is a question answering dataset created by [Google](https://huggingface.co/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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+ I plan to use this as regularization for upcoming datasets that I intend to post to this account.
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  ### Licensing Information
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