
# 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?
task_categories:question-answering size_categories:1K<n<10K language:en license:unknown medical arxiv:2212.13138 region:us
{"language": ["en"], "license": "unknown", "size_categories": ["1K<n<10K"], "task_categories": ["question-answering"], "tags": ["medical"], "configs": [{"config_name": "all_data", "data_files": "all.csv"}, {"config_name": "140_question_subset", "data_files": "multimedqa140_subset.csv"}]}
TAGS
#task_categories-question-answering #size_categories-1K<n<10K #language-English #license-unknown #medical #arxiv-2212.13138 #region-us 


# 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?
# 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?
TAGS
#task_categories-question-answering #size_categories-1K<n<10K #language-English #license-unknown #medical #arxiv-2212.13138 #region-us 
 # 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?
passage: TAGS
#task_categories-question-answering #size_categories-1K<n<10K #language-English #license-unknown #medical #arxiv-2212.13138 #region-us 
# 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?