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README.md
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---
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language:
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- en
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pretty_name: "MedBrowseComp: Medical Browsing and Comparison Dataset"
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tags:
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- medical
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- healthcare
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- browsing
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- comparison
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license: "apache-2.0"
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task_categories:
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- question-answering
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- text-retrieval
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configs:
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- config_name: default # Defines a configuration named 'default'
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data_files: # Specifies data files for this configuration
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- split: MedBrowseComp_50
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path: MedBrowseComp_50.csv
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- split: MedBrowseComp_605
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path: MedBrowseComp_605.csv
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- split: MedBrowseComp_CUA
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path: MedBrowseComp_CUA.csv
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---
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# MedBrowseComp Dataset
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This repository contains datasets for medical browsing and comparison tasks.
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## Datasets
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The repository contains three harmonized datasets:
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1. **MedBrowseComp_50**: A collection of 50 medical entries for browsing and comparison.
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2. **MedBrowseComp_605**: A comprehensive collection of 605 medical entries.
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3. **MedBrowseComp_CUA**: A curated collection of medical data for comparison and analysis.
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## Usage
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These datasets can be used for various medical text processing tasks, information retrieval, and comparative analysis.
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Example usage with the Hugging Face datasets library:
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```python
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from datasets import load_dataset
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# Load the dataset
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dataset = load_dataset("AIM-Harvard/MedBrowseComp")
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# Access specific splits
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med50_data = dataset["MedBrowseComp_50"]
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med605_data = dataset["MedBrowseComp_605"]
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cua_data = dataset["MedBrowseComp_CUA"]
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```
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## GitHub Repository
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For more information and related tools, visit: [https://github.com/MedBrowseComp](https://github.com/MedBrowseComp)
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## Citation
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If you use this dataset in your research, please cite:
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```
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@dataset{medbrowsecomp2025,
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author = {AIM-Harvard},
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title = {MedBrowseComp: Medical Browsing and Comparison Dataset},
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year = {2025},
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publisher = {Hugging Face},
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url = {https://huggingface.co/datasets/AIM-Harvard/MedBrowseComp}
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}
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```
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