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Datasets:
PatSnap
/
clinical-trial

Tasks:
Text Classification
Text Retrieval
Modalities:
Text
Formats:
json
Languages:
English
Size:
1K - 10K
Tags:
clinical-trials
healthcare
medical
real-world-data
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
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metadata 
license: cc-by-4.0
task_categories:
  - text-classification
  - text-retrieval
language:
  - en
tags:
  - clinical-trials
  - healthcare
  - medical
  - real-world-data
pretty_name: Global Clinical Trials Structured Intelligence
size_categories:
  - 1K<n<10K

🏥 Dataset Summary

Structured clinical trial records sourced from ClinicalTrials.gov. Each record extracts and normalizes key parameters including study purpose, intervention arms, trial conditions, and sponsor/collaborator relationships. Drug entities are enriched with multilingual name mappings (Chinese, English, Japanese).

🚀 Key Features

  • Structured Intervention Arms: arm_intervention captures each trial arm's design group type, linked interventions, and single/multi-drug configuration.
  • Multilingual Drug Entities: experimental_drug provides normalized drug names in CN/EN/JP for cross-lingual applications.
  • Condition & Sponsor Mapping: f_condition tags diseases/conditions; sponsor and collaborator map the organizational network behind each trial.
  • Registry Linkage: Full ClinicalTrials.gov URL and secondary IDs (NIH grant numbers, org study IDs, acronyms) for traceability.

🔗 Resources