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README.md
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data_files:
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- split: train
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path: data/train-*
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---
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data_files:
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- split: train
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path: data/train-*
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license: unknown
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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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tags:
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- medical
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size_categories:
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- 1K<n<10K
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---
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# HealthSearchQA
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Dataset of consumer health questions released by Google for the Med-PaLM paper ([arXiv preprint](https://arxiv.org/abs/2212.13138)).
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From the [paper](https://www.nature.com/articles/s41586-023-06291-2):
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We curated our own additional dataset consisting of 3,173 commonly searched consumer questions,
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referred to as HealthSearchQA. The dataset was curated using seed medical conditions and their
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associated symptoms. We used the seed data to retrieve publicly-available commonly searched questions
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generated by a search engine, which were displayed to all users entering the seed terms. We publish the
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dataset as an open benchmark for answering medical questions from consumers and hope this will be a useful
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resource for the community, as a dataset reflecting real-world consumer concerns.
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**Format:** Question only, free text response, open domain.
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**Size:** 3,173.
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**Example question:** How serious is atrial fibrillation?
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**Example question:** What kind of cough comes with Covid?
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**Example question:** Is blood in phlegm serious?
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