PMC-Patients-ReCDS

Key facts

Domain

Clinical medicine · Biomedical literature Modern medicine

Content

Annotated corpora · Clinical cases · LiteraturePMC-Patients benchmarks Retrieval-based Clinical Decision Support (ReCDS) using patient summaries from PMC case reports, with Patient-to-Article (PAR) and Patient-to-Patient (PPR) retrieval tasks.

Size

—As stated: 167k patient summaries; 3.1M patient-article relevance annotations; 293k patient-patient similarity annotations

Language / modality

English / Text

Publisher

zhengyun21

Year

2023

Expert review

—

Verification

Verified: license text seen

Commercial use of PMC-Patients-ReCDS

Commercial use: No. License status: Restricted.

Conditions

Attribution, Share-alike

Quoted statements and their sources are in PMC-Patients-ReCDS license evidence.

Verdicts record what sources state and are not legal advice.

Tags

Task format

Text matching

Intended use

Evaluation

Quoted from the sourcewe define two tasks to benchmark Retrieval-based Clinical Decision Support (ReCDS) systemsSnapshot s04

Specialty

Multi-specialty

Source type

Research literature

Quoted from the sourcepatient summaries extracted from case reports in PubMed Central (PMC)Snapshot s04

Expert involvement

None

Data format

JSONL

Quoted from the sourcequeries are stored a `jsonl` file that contains a list of dictionaries, each with two fieldsSnapshot s04

TSV

Quoted from the sourceQrels are TREC-style retrieval annotation files in `tsv` format.Snapshot s04

Official split

Train and test splits

Quoted from the sourceFor each split (train, dev, and test), queries are stored a `jsonl` fileSnapshot s04

Benchmark status

Public leaderboard

Quoted from the source**Leaderboard:** https://pmc-patients.github.io/Snapshot s04

Author-statedInferredHuman-confirmed

PMC-Patients-ReCDS license evidence 1

1. Hugging Face card metadataPage opened
   CC-BY-NC-SA-4.0

   Third-party text · Hugging Face card metadatalicense: cc-by-nc-sa-4.0

   Statement found in snapshot s04 (readme)

   huggingface.co2026-11-12 · s04

Source and lineage

• Derived fromPMC-Patientsnot in the database

Known issues with PMC-Patients-ReCDS

• The full PAR corpus is too large to upload to Hugging Face; only PMIDs of the included articles are provided.
• Qrels may differ from relevant_articles and similar_patients in PMC-Patients.json because of the dataset split.

Downloading PMC-Patients-ReCDS and API access

No file on Mdexa (see the verdict). Get it from the source and confirm the terms there:

• huggingface.co/datasets/zhengyun21/PMC-Patients-ReCDS

Citing PMC-Patients-ReCDS

Mdexa, PMC-Patients-ReCDS, https://mdexa.com/datasets/pmc-patients-recds/, verified 2026-11-14.

Machine-readable

pmc-patients-recds.jsonpmc-patients-recds.mdcatalog.json

Listed in

• Datasets with official train and test splits
• Benchmarks with a leaderboard or a human baseline
• Medical datasets for evaluation that have a restricted license

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