167k PMC case-report summaries with citation-graph labels for retrieving relevant PubMed articles (PAR) and similar patients (PPR).
unassessed
| Category | embedding |
|---|---|
| Subcategory | patient-to-article and patient-to-patient clinical retrieval |
| Page status | active |
| Metric | MRR |
| Direction | higher_is_better |
| Unit | % |
| Dataset size | 167034 |
| Dataset licence | CC-BY-NC-SA-4.0 |
| Publisher | Tsinghua University |
PMC-Patients tests retrieval-based clinical decision support, not diagnosis from scratch. The query is an English patient summary taken from a PMC case report. PAR must rank PubMed title/abstract records that the citation graph marks relevant. PPR must rank other patient summaries marked similar. Labels are 2 or 1 from citation distance, not from a clinician re-reading the chart. Both tasks share the query split and use BEIR-style queries, corpus, and qrels.
English text retrieval. Query: patient summary. PAR corpus: PubMed title+abstract. PPR corpus: other patient notes. Train/dev/test splits.
No model card in ModelSpec reports this benchmark yet.