README.md

metadata

dataset_info:
  features:
    - name: nctId
      dtype: string
    - name: briefTitle
      dtype: string
    - name: briefSummary
      dtype: string
    - name: detailedDescription
      dtype: string
    - name: eligibilityCriteria
      dtype: string
    - name: embedding
      sequence: float32
  splits:
    - name: train
      num_bytes: 2423928575
      num_examples: 535475
  download_size: 1887142885
  dataset_size: 2423928575
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: apache-2.0
task_categories:
  - text-classification
  - zero-shot-classification
  - text-generation
language:
  - en
tags:
  - medical
  - therapeutics
pretty_name: Clinical Trials Embeddings

Clinical Trials Embeddings Dataset

Overview

This dataset contains information extracted from clinical trial records collected from ClinicalTrials.gov (Date Accessed: 05/02/2025) along with briefSummary columns embeddings generated using minishlab/potion-base-8M. It focuses on key descriptive fields that provide insight into trial objectives, eligibility criteria, and study design. The dataset is designed for researchers, healthcare professionals, and AI/ML practitioners interested in analyzing clinical trial data, understanding treatment development, or building tools to assist in clinical trial matching.

Dataset Structure

Each record in the dataset represents a single clinical trial and contains the following key fields:

• nctId: The unique identifier for the clinical trial as registered on ClinicalTrials.gov
• briefTitle: A short title of the study
• briefSummary: A concise summary of the trial's purpose and objectives
• detailedDescription: An extended description of the trial, including methodology and other details
• eligibilityCriteria: Specifications for who can and cannot participate in the trial
• embedding: Embeddings for the briefSummary column