Kquant03/google-boolq-sharegpt
Dataset Summary BoolQ is a question answering dataset created by Google for yes/no questions containing 15942 examples. These questions are naturally occurring ---they are generated in unprompted and unconstrained settings. 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. I plan to use this as… See the full description on the dataset page: https://huggingface.co/datasets/Kquant03/google-boolq-sharegpt.
016
1---2license: cc-by-sa-3.03---4### Dataset Summary5 6[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 naturally7occurring ---they are generated in unprompted and unconstrained settings.8Each 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.9I plan to use this as regularization for upcoming datasets that I intend to post to this account.10 11### Licensing Information12 13BoolQ is released under the [Creative Commons Share-Alike 3.0](https://creativecommons.org/licenses/by-sa/3.0/) license.14 15### Citation Information16 17```18@inproceedings{clark2019boolq,19 title = {BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions},20 author = {Clark, Christopher and Lee, Kenton and Chang, Ming-Wei, and Kwiatkowski, Tom and Collins, Michael, and Toutanova, Kristina},21 booktitle = {NAACL},22 year = {2019},23}24 25```26 27 28### Contributions29 30Thanks 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.