healthsearchqa / README.md
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metadata
dataset_info:
  features:
    - name: id
      dtype: float64
    - name: question
      dtype: string
  splits:
    - name: train
      num_bytes: 170966
      num_examples: 4436
  download_size: 79303
  dataset_size: 170966
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: unknown
task_categories:
  - question-answering
language:
  - en
tags:
  - medical
size_categories:
  - 1K<n<10K

HealthSearchQA

Dataset of consumer health questions released by Google for the Med-PaLM paper (arXiv preprint).

From the paper:

We curated our own additional dataset consisting of 3,173 commonly searched consumer questions, referred to as HealthSearchQA. The dataset was curated using seed medical conditions and their associated symptoms. We used the seed data to retrieve publicly-available commonly searched questions generated by a search engine, which were displayed to all users entering the seed terms. We publish the dataset as an open benchmark for answering medical questions from consumers and hope this will be a useful resource for the community, as a dataset reflecting real-world consumer concerns.

Format: Question only, free text response, open domain.

Size: 3,173.

Example question: How serious is atrial fibrillation?

Example question: What kind of cough comes with Covid?

Example question: Is blood in phlegm serious?