metadata

dataset_info:
  features:
    - name: data
      dtype: string
    - name: criteria
      dtype: string
    - name: NCT_ID
      dtype: string
    - name: metadata
      struct:
        - name: brief_title
          dtype: string
        - name: conditions
          sequence: string
        - name: interventions
          sequence: string
        - name: location_countries
          sequence: string
        - name: nct_id
          dtype: string
        - name: official_title
          dtype: string
        - name: recruitment_information
          struct:
            - name: >-
                primary_completion_date(actual)(final_data_collection_date_for_primary_outcome_measure)
              dtype: string
            - name: study_completion_date(actual)
              dtype: string
            - name: study_start_date(actual)
              dtype: string
        - name: study_design
          struct:
            - name: allocation
              dtype: string
            - name: interventional_model
              dtype: string
            - name: masking
              dtype: string
            - name: phase
              sequence: string
            - name: primary_purpose
              dtype: string
            - name: study_type
              dtype: string
        - name: study_record_dates
          struct:
            - name: study_record_updates
              struct:
                - name: last_update_posted(estimated)
                  dtype: string
                - name: last_updated_that_met_qc_criteria
                  dtype: string
                - name: last_verified
                  dtype: string
            - name: study_registration_dates
              struct:
                - name: first_posted(estimated)
                  dtype: string
                - name: first_submitted
                  dtype: string
                - name: first_submitted_that_met_qc_criteria
                  dtype: string
  splits:
    - name: train
      num_bytes: 906076192
      num_examples: 213877
    - name: test
      num_bytes: 112448496
      num_examples: 26735
    - name: validation
      num_bytes: 112313748
      num_examples: 26735
  download_size: 555641648
  dataset_size: 1130838436
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*
      - split: validation
        path: data/validation-*

Dataset Card for EC-RAFT Raw ClinicalTrials.gov Dataset

Dataset Summary

This dataset provides a structured version of ClinicalTrials.gov data from , prepared for use in the EC-RAFT framework. It includes structured eligibility criteria (inclusion, exclusion, age, sex), trial descriptions, metadata, interventions, and study design fields.

This dataset was used as the foundation for the paper:
EC-RAFT: Automated Generation of Clinical Trial Eligibility Criteria through Retrieval-Augmented Fine-Tuning
(ACL 2025 Findings).
The EC-RAFT model and training pipeline are available at:
👉 https://github.com/biodatlab/ec-raft

Dataset Structure

Data Instances

Each example is a single clinical trial record with structured metadata and eligibility criteria.

Dataset Splits

Split	Type	Number of Trials	Total Inclusion Criteria	Total Exclusion Criteria	Mean Inclusion Criteria per Trial (± SD)	Mean Exclusion Criteria per Trial (± SD)
Train	Interventional	168,429	838,948	1,256,242	4.98 ± 5.11	7.46 ± 7.05
	Observational	45,448	137,234	156,298	3.02 ± 2.85	3.44 ± 3.68
Validation	Interventional	20,928	103,910	154,896	4.97 ± 5.04	7.40 ± 7.00
	Observational	5,807	17,531	20,470	3.02 ± 2.77	3.53 ± 3.64
Test	Interventional	21,129	103,982	156,212	4.92 ± 5.01	7.39 ± 7.05
	Observational	5,606	16,990	19,000	3.03 ± 2.99	3.39 ± 3.61

Citation

If you use this dataset, please cite:

TBD

Contributions

Nopporn Lekuthai (Mahidol University)
Nattawit Pewngam (Ravis Technology)
Supitcha Sokrai (Ravis Technology)
Titipat Achakulvisut (Mahidol University)

Related Resources

EC-RAFT Github