---
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](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](https://github.com/biodatlab/ec-raft)