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MedSR-Bench

MedSR-Bench is released with MedSR-Copilot, a PRISMA-aligned agentic framework for automated medical systematic reviews. It evaluates systems from a structured review protocol to final evidence-synthesis conclusions.

Dataset Summary

MedSR-Bench contains 100 systematic reviews across 24 medical domains. The benchmark includes 1,297 included RCT records, 2,144 predefined analysis groups, 7,570 samples for data extraction and 1,908 samples for end-to-end conclusion evaluation.

This release contains two complementary components:

MedSR-Bench-json/: 100 structured SR records with labels for literature retrieval, screening, data extraction, Risk-of-Bias (RoB) assessment, and evidence synthesis.
SR-RoB-7B-dataset/: Parquet files for training and evaluating SR-RoB-7B on Cochrane Risk-of-Bias tool.

Highlights

📚 SR-grounded — derived from systematic reviews with traceable protocols, included studies, extraction records, and RoB judgments.
🔄 End-to-end — supports literature retrieval, screening, data extraction, RoB assessment, and statistical evidence synthesis in one benchmark.
📊 Scale & breadth — 100 systematic reviews spanning 24 medical domains, with 2,144 predefined analysis groups.
🎯 Protocol-aligned evaluation — every review starts from a PICOS-based protocol and detailed eligibility criteria.
🩺 Dedicated RoB resource — includes training and test datasets for SR-RoB-7B, covering five RoB 1.0 domains.

Dataset Structure

MedSR-Bench/
├── MedSR-Bench-json/
│   ├── 1.json
│   ├── ...
│   └── 100.json
└── SR-RoB-7B-dataset/
    ├── train.parquet
    └── test.parquet

Usage

Each JSON file represents one systematic review. PICO stores the PICOS protocol and eligibility criteria; study group stores predefined analysis groups and the final gt conclusion; trials provides the gold-standard included studies for retrieval and screening. Study named after individual studies contain the corresponding data-extraction and RoB labels.

The evidence-synthesis label is one of favor Intervention, favor comparison, or not significant.

SR-RoB-7B-dataset/ provides Parquet data for SR-RoB-7B training and evaluation. Each record is an included study with a full-text-based RoB task and labels for five RoB domains.

from huggingface_hub import snapshot_download

path = snapshot_download(
    repo_id="YOUR_NAMESPACE/MedSR-Bench",
    repo_type="dataset",
)

Source

MedSR-Bench was constructed from open-access Cochrane systematic reviews archived in PMC.

Citation

License

Released under the apache-2.0 License.