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| license: apache-2.0 |
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| # MedSR-Bench |
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| ### A Full-PRISMA-Workflow-Supporting Benchmark for Medical Systematic Review Automation |
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| 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. |
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| ## Dataset Summary |
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| 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**. |
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| This release contains two complementary components: |
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| - `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. |
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| ## Highlights |
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| - 📚 **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. |
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| ## Dataset Structure |
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| ```text |
| MedSR-Bench/ |
| ├── MedSR-Bench-json/ |
| │ ├── 1.json |
| │ ├── ... |
| │ └── 100.json |
| └── SR-RoB-7B-dataset/ |
| ├── train.parquet |
| └── test.parquet |
| ``` |
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| ## Usage |
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| 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. |
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| The evidence-synthesis label is one of `favor Intervention`, `favor comparison`, or `not significant`. |
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| `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. |
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| ```python |
| from huggingface_hub import snapshot_download |
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| path = snapshot_download( |
| repo_id="YOUR_NAMESPACE/MedSR-Bench", |
| repo_type="dataset", |
| ) |
| ``` |
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| ## Source |
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| MedSR-Bench was constructed from open-access Cochrane systematic reviews archived in PMC. |
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| ## Citation |
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| <!-- To be added. --> |
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| ## License |
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| Released under the apache-2.0 License. |
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