Dataset
clinicaltrials-kg
A knowledge graph assembled from 575,778 ClinicalTrials.gov registrations and their associated arms, outcomes, sites, sponsors, conditions, interventions, MeSH codes, and PubMed citations, containing 7,628,735 nodes and 15,531,427 edges, delivered as 623 MB of Parquet files (compared to about 7 GB of raw JSON) and built using Samyama Graph.
Data preview
Dataset card
clinicaltrials-kg is a Parquet-based knowledge graph derived from ClinicalTrials.gov, distributed by VaidhyaMegha. It links trial records to arms, outcomes, sites, sponsors, conditions, interventions, MeSH codes, and PubMed publications.
What this dataset contains
The dataset is a snapshot dated 2026-04-02 of clinical trial registry data modeled as a graph and stored in Parquet, approximately 623 MB compressed versus about 7 GB as raw JSON. Coverage spans trial records together with their linked arms, outcomes, sites, sponsors, conditions, interventions, MeSH codes, and PubMed publications. Two upstream sources were excluded from this published copy because their terms did not permit redistribution.
Structure and fields
The single training split contains about 23.16 million rows. Each row is identified by an integer id and carries a trial_nct_id string linking the row to a ClinicalTrials.gov registry entry, along with a description, a human-readable label, and a type field describing the entity role. Records are intended to be loaded with the Samyama Graph engine and queried via Cypher.
How analysts use it
Analysts can traverse sponsor-to-condition or intervention-to-outcome paths across the graph to map the clinical development landscape around specific therapeutic areas or trial sponsors. The MeSH and PubMed linkages make it usable for bibliometric studies connecting trial activity to published research, while site and sponsor fields support geographic and competitive analysis of where studies are run and who funds them. Attribution to the U.S. National Library of Medicine and the AACT/CTTI source must be carried with any redistribution.
Documentation & references 1
Related datasets
Browse moreParsed eligibility criteria from 13,229 ClinicalTrials.gov studies representing the candidate pool gathered by two first-stage retrievers during TREC Clinical Trials 2021–2023, formatted as typed entity-relation graphs for reranking models.
The clinical-trials-patient-graphs dataset is a small tabular collection of patient-level clinical records distributed in Parquet format by the 2001jdev publisher. It organizes entities and relations extracted from trial data into structured rows spanning 2021 through 2023.
This dataset is a parsed snapshot of ClinicalTrials.gov records, distributed in Parquet format on the Hugging Face Hub under an unspecified license. It contains roughly 52,000 trial entries drawn from public registry filings.
clinical-trials-trec-qrels is a tabular relevance-judgment file distributed by the 2001jdev user on the Hugging Face Hub. It maps clinical-trial topic identifiers to NCT registry IDs with graded relevance scores.
The clinical-trials-trec-topics dataset is a small tabular collection of clinical-trial topic records distributed in Parquet format on the Hugging Face Hub. It appears to be derived from TREC clinical-trial retrieval topics, with rows partitioned by year.
SEC EDGAR 10-K & 10-Q financial statements for 2,600+ NASDAQ companies.
Discussion
Questions or observations about this dataset? Join the conversation on X.
No comments yet. Start the conversation on X.