---
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](https://arxiv.org/abs/2212.13138)).

From the [paper](https://www.nature.com/articles/s41586-023-06291-2):

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?