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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+ ---
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+
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+ # MedBrowseComp Dataset
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+
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+ This repository contains datasets for medical browsing and comparison tasks.
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+
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+ ## Datasets
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+
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+ The repository contains three harmonized datasets:
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+
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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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+
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+ ## Usage
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+
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+ These datasets can be used for various medical text processing tasks, information retrieval, and comparative analysis.
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+
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+ Example usage with the Hugging Face datasets library:
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ # Load the dataset
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+ dataset = load_dataset("AIM-Harvard/MedBrowseComp")
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+
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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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+
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+ ## GitHub Repository
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+
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+ For more information and related tools, visit: [https://github.com/MedBrowseComp](https://github.com/MedBrowseComp)
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+
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+ ## Citation
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+
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+ If you use this dataset in your research, please cite:
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+
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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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+ ```