Dataset
clinical-trials
A tabular extract of clinical study descriptions drawn from ClinicalTrials.gov on 5 February 2025, emphasizing eligibility, design, and objective fields for healthcare and machine learning research.
Data preview
Dataset card
The clinical-trials dataset is a Parquet compilation of records pulled from ClinicalTrials.gov, capturing descriptive metadata on individual studies such as titles, summaries, and eligibility criteria. It is hosted on Hugging Face under an Apache-2.0 license by the publisher cyrilzakka.
What this dataset contains
The dataset holds one record per clinical trial drawn from ClinicalTrials.gov, with the train split comprising 536,389 rows. It is delivered in Parquet format and is sized in the 100K–1M row range, as indicated by the size_categories tag. Coverage is limited to a handful of descriptive text fields rather than full registry records, so it is best suited for text-based analysis of trial descriptions and criteria.
Structure and fields
Each row is keyed by nctId, a string identifier that matches the registry's trial code. Descriptive text is stored across briefTitle, briefSummary, detailedDescription, and eligibilityCriteria, all of which are string-typed Value fields. There are no structured columns for outcomes, sponsors, phases, or dates in the provided schema, so any analysis of those dimensions would require joining against the source registry.
How analysts use it
The fields briefTitle, briefSummary, and eligibilityCriteria make the dataset a natural fit for natural language processing tasks such as trial-search ranking, eligibility parsing, or clustering studies by therapeutic area. Healthcare-focused funds could use the aggregated text to track the volume and topical mix of newly registered trials as a proxy for R&D momentum in specific indications. Because the schema lacks sponsor, phase, and outcome fields, deeper investment signals around trial success rates or company-level pipelines would need to be sourced separately.
Documentation & references 1
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