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README.md
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license: cc-by-sa-3.0
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Adaptation of the Natural Question dataset by Google (available [here](google-research-datasets/natural_questions)).
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For example, `Jump to : navigation, search`, `( edit )`, etc.
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The intended use is to test your RAG pipeline on natural, open-ended question-answering tasks, with expected short-answers.
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In this case, evaluation metrics are *mostly* well defined. For example, one can use the evaluation metrics of the [SQuAD 2.0 dataset](https://rajpurkar.github.io/SQuAD-explorer/).
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license: cc-by-sa-3.0
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task_categories:
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- question-answering
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language:
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- en
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size_categories:
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- 100K<n<1M
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Adaptation of the Natural Question dataset by Google (available [here](google-research-datasets/natural_questions)).
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For example, `Jump to : navigation, search`, `( edit )`, etc.
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The intended use is to test your RAG pipeline on natural, open-ended question-answering tasks, with expected short-answers.
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In this case, evaluation metrics are *mostly* well defined. For example, one can use the evaluation metrics of the [SQuAD 2.0 dataset](https://rajpurkar.github.io/SQuAD-explorer/).
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Please note that the contents of the `answers` key are lists, for consistency between the train (with unique answers) and validation sets (for which multiple answers are available).
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