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  # BioASQ - All Question Types
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- A comprehensive dataset containing all question types from the BioASQ challenge, organized by question type as separate splits.
 
 
 
 
 
 
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  ## Dataset Description
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@@ -34,9 +40,9 @@ Each question type is provided as a separate split for convenient filtering and
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  ## Source and Attribution
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- ### Original Dataset
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- This dataset is derived from the **BioASQ Challenge** data. BioASQ is a series of challenges on large-scale biomedical semantic indexing and question answering.
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  **IMPORTANT**: To use BioASQ data, you must:
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  1. Register at: https://bioasq.org/
@@ -44,54 +50,6 @@ This dataset is derived from the **BioASQ Challenge** data. BioASQ is a series o
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  3. Cite the BioASQ papers (see below)
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  4. Acknowledge the BioASQ dataset in any publications
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- ### Citations
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-
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- If you use this dataset, please cite:
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-
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- **Primary BioASQ Paper**:
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- ```bibtex
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- @article{tsatsaronis2015bioasq,
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- title={An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition},
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- author={Tsatsaronis, George and Balikas, Georgios and Malakasiotis, Prodromos and Partalas, Ioannis and Zschunke, Matthias and Alvers, Michael R and Weissenborn, Dirk and Krithara, Anastasia and Petridis, Sergios and Polychronopoulos, Dimitris and others},
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- journal={BMC bioinformatics},
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- volume={16},
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- number={1},
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- pages={1--28},
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- year={2015},
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- publisher={BioMed Central}
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- }
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- ```
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-
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- **PaperSearchQA** (if used in context of this project):
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- ```bibtex
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- @misc{burgess2026papersearchqalearningsearchreason,
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- title={PaperSearchQA: Learning to Search and Reason over Scientific Papers with RLVR},
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- author={James Burgess and Jan N. Hansen and Duo Peng and Yuhui Zhang and Alejandro Lozano and Min Woo Sun and Emma Lundberg and Serena Yeung-Levy},
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- year={2026},
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- eprint={2601.18207},
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- archivePrefix={arXiv},
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- primaryClass={cs.LG},
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- url={https://arxiv.org/abs/2601.18207},
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- }
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- ```
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-
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- ## License and Terms of Use
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-
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- ### BioASQ License
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-
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- The original BioASQ data is available for **research and educational purposes** under specific terms:
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-
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- - **Non-commercial use**: Freely available for academic research and education
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- - **Commercial use**: Requires written permission from BioASQ organizers
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- - **Attribution**: Must cite BioASQ papers and acknowledge the dataset
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- - **Registration**: Users must register at https://bioasq.org/
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-
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- For full license terms, see: https://bioasq.org/participate
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-
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- ### This Dataset
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-
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- This reorganized version (with question types as splits) is provided for research convenience. All terms and conditions of the original BioASQ license apply.
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-
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  ## Dataset Structure
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  ### Data Fields
@@ -133,11 +91,75 @@ factoid = load_dataset("jmhb/BioASQ", split="factoid")
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  dataset = load_dataset("jmhb/BioASQ", split=["factoid", "yesno"])
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  ```
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- ## Additional Resources
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- - **BioASQ Official Website**: https://bioasq.org/
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- - **BioASQ Participants Area**: https://participants-area.bioasq.org/
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- - **PaperSearchQA Project**: https://jmhb0.github.io/PaperSearchQA/
 
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  ## Acknowledgments
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  # BioASQ - All Question Types
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+ A comprehensive collection of BioASQ challenge questions organized by question type as separate splits.
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+
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+ ## Purpose
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+
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+ This dataset is a **convenience collection** of BioASQ questions reformatted for easier use. The original source data is from the [BioASQ Challenge](http://bioasq.org/). We created this reorganized version (with question types as splits) to facilitate evaluation in our PaperSearchQA work.
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+
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+ **IMPORTANT**: This is not the original BioASQ dataset. We have simply reorganized the BioASQ data into splits by question type. All underlying question and answer data is from BioASQ.
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  ## Dataset Description
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  ## Source and Attribution
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+ **Original Data Source**: [BioASQ Challenge](http://bioasq.org/)
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+ BioASQ is a series of challenges on large-scale biomedical semantic indexing and question answering.
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  **IMPORTANT**: To use BioASQ data, you must:
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  1. Register at: https://bioasq.org/
 
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  3. Cite the BioASQ papers (see below)
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  4. Acknowledge the BioASQ dataset in any publications
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  ## Dataset Structure
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  ### Data Fields
 
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  dataset = load_dataset("jmhb/BioASQ", split=["factoid", "yesno"])
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  ```
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+ ## Citations
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+
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+ ### BioASQ (Required)
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+
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+ If you use this dataset, you **must** cite the original BioASQ papers:
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+
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+ ```bibtex
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+ @article{krithara2023bioasq,
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+ title={BioASQ-QA: A manually curated corpus for Biomedical Question Answering},
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+ author={Krithara, Anastasia and Nentidis, Anastasios and Bougiatiotis, Konstantinos and Paliouras, Georgios},
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+ journal={Scientific Data},
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+ volume={10},
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+ number={1},
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+ pages={170},
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+ year={2023},
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+ publisher={Nature Publishing Group UK London}
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+ }
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+
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+ @article{tsatsaronis2015overview,
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+ title={An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition},
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+ author={Tsatsaronis, George and Balikas, Georgios and Malakasiotis, Prodromos and Partalas, Ioannis and Zschunke, Matthias and Alvers, Michael R and Weissenborn, Dirk and Krithara, Anastasia and Petridis, Sergios and Polychronopoulos, Dimitris and others},
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+ journal={BMC bioinformatics},
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+ volume={16},
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+ number={1},
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+ pages={138},
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+ year={2015},
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+ publisher={Springer}
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+ }
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+ ```
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+
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+ ### PaperSearchQA (Optional)
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+
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+ If you use this dataset as part of PaperSearchQA evaluation, please also cite:
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+
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+ ```bibtex
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+ @misc{burgess2026papersearchqalearningsearchreason,
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+ title={PaperSearchQA: Learning to Search and Reason over Scientific Papers with RLVR},
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+ author={James Burgess and Jan N. Hansen and Duo Peng and Yuhui Zhang and Alejandro Lozano and Min Woo Sun and Emma Lundberg and Serena Yeung-Levy},
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+ year={2026},
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+ eprint={2601.18207},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.LG},
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+ url={https://arxiv.org/abs/2601.18207},
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+ }
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+ ```
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+
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+ ## License and Terms of Use
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+
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+ ### BioASQ License
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+
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+ The original BioASQ data is available for **research and educational purposes** under specific terms:
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+
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+ - **Non-commercial use**: Freely available for academic research and education
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+ - **Commercial use**: Requires written permission from BioASQ organizers
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+ - **Attribution**: Must cite BioASQ papers and acknowledge the dataset
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+ - **Registration**: Users must register at https://bioasq.org/
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+
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+ For full license terms, see: https://bioasq.org/participate
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+
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+ ### This Dataset
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+
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+ This reorganized version is provided for research convenience. All terms and conditions of the original BioASQ license apply.
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+
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+ ## Links
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+ - **BioASQ Challenge**: [http://bioasq.org/](http://bioasq.org/)
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+ - **BioASQ Participants Area**: [https://participants-area.bioasq.org/](https://participants-area.bioasq.org/)
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+ - **PaperSearchQA Project**: [https://jmhb0.github.io/PaperSearchQA](https://jmhb0.github.io/PaperSearchQA)
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+ - **Code Repository**: [GitHub](https://github.com/jmhb0/PaperSearchQA)
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  ## Acknowledgments
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