Dataset
clinical-trials-data
Dattito's clinical-trials-data is a Parquet-format dataset of roughly 24 million clinical trial records sourced from public trial registries. It aggregates identifiers, conditions, and standardized medical terminology into a single table for large-scale analysis.
Data preview
Dataset card
What this dataset contains
The dataset compiles around 24,064,928 rows of clinical trial records drawn from public registries, as indicated by the single train split. Each row is tagged with a source label such as 'ctgov', pointing to ClinicalTrials.gov as one of the contributing registries. A dedicated boolean flag, is_rare_disease, lets users filter for trials targeting rare conditions.
Structure and fields
The table is delivered in Parquet and is organized around the trial_id primary key. Descriptive fields include source and condition_name, while standardized medical vocabularies are captured through mesh_term, meddra_term, and meddra_code. The is_rare_disease boolean column enables categorical filtering across the 24 million-row corpus, and tooling tags suggest compatibility with the datasets, dask, polars, and mlcroissant libraries.
How analysts use it
Healthcare and biotech analysts can group trials by condition_name, MedDra codes, or mesh_term to track research activity across disease areas over time. The is_rare_disease flag supports dedicated screens for orphan-drug pipeline coverage. Because rows are linked back to public registries via trial_id and source, the dataset also lends itself to citation analysis of registered clinical studies.
Documentation & references 1
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