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license: apache-2.0
---
# MedSR-Bench
### A Full-PRISMA-Workflow-Supporting Benchmark for Medical Systematic Review Automation
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
```text
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.
```python
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
<!-- To be added. -->
## License
Released under the apache-2.0 License.
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