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data_files:
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license: cc-by-sa-4.0
task_categories:
- text-ranking
- text-classification
language:
- en
tags:
- medical
pretty_name: TREC_CT
size_categories:
- 100K<n<1M
TREC Clinical Trials (2021, 2022 and 2023)
Dataset Description
| Links | |
|---|---|
| Homepage: | TREC |
| Paper: | 2021 / 2022 / 2023 |
| Contact (Original Authors): | - |
| Contact (Curator): | Artur Guimarães (artur.guimas@gmail.com) |
Dataset Summary
This track focused on matching patients to relevant clinical trials.
Data Instances
Source Format
{
"query_id":"1",
"disease":"glaucoma",
"text":"definitive diagnosis: primary open angle glaucoma\nvisual field: moderate field damage\nvisual acuity: 0.3\nprior cataract surgery: no\nprior LASIK surgery: no\ncomorbid ocular diseases: corneal edema",
"doc_id":"NCT00000119",
"relevance": "not relevant"
}
Data Fields
Source Format
TO:DO
Data Splits
TO:DO
Additional Information
Dataset Curators
Huggingface Curator
- Artur Guimarães (artur.guimas@gmail.com) - INESC-ID / University of Lisbon - Instituto Superior Técnico
Licensing Information
Citation Information
@inproceedings{soboroff2021overview,
title={Overview of TREC 2021.},
author={Soboroff, Ian},
booktitle={TREC},
year={2021}
}
@inproceedings{roberts2022overview,
title={Overview of the TREC 2022 Clinical Trials Track.},
author={Roberts, Kirk and Demner-Fushman, Dina and Voorhees, Ellen M and Bedrick, Steven and Hersh, William R},
booktitle={TREC},
year={2022}
}
@inproceedings{soboroff2021overview,
title={Overview of TREC 2021.},
author={Soboroff, Ian},
booktitle={TREC},
year={2021}
}
Contributions
Thanks to araag2 for adding this dataset.