data_source string | prompt list | ability string | reward_model dict | pmid string | study_name string | gt_domains dict | domain_info dict | available_domain_count int64 | missing_domains list | is_e2e bool |
|---|---|---|---|---|---|---|---|---|---|---|
rob_sr | [
{
"content": "\n**Role:** You are a meta-analysis expert. Your task is to perform a Risk of Bias assessment for a study based on the provided full-text and the Cochrane Risk of Bias 1.0 (RoB 1) tool criteria.\n\n**Inputs:**\n\n1. **Full text**: n engl j med 360;13 nejm.org march 26, 2009\n1283\n\n## Intensive... | rob_assessment | {
"ground_truth": {
"domain_info": {
"1": {
"label": "low",
"source_keys": [
"Domain1：Random sequence generation (selection bias)"
],
"thinking_labels": [
"Quote: “Patients were randomly assigned to a treatment group by the clinicians treating them or by l... | 19318384 | NICE SUGAR 2009 | {
"1": "low",
"2": "low",
"3": "high",
"4": "high",
"5": "low"
} | {
"1": {
"label": "low",
"source_keys": [
"Domain1：Random sequence generation (selection bias)"
],
"thinking_labels": [
"Quote: “Patients were randomly assigned to a treatment group by the clinicians treating them or by local study coordinators, with the use of a minimization algorithm” Qu... | 5 | [] | false |
rob_sr | [
{
"content": "\n**Role:** You are a meta-analysis expert. Your task is to perform a Risk of Bias assessment for a study based on the provided full-text and the Cochrane Risk of Bias 1.0 (RoB 1) tool criteria.\n\n**Inputs:**\n\n1. **Full text**: Br.J. Anaesth. (1976), 48, 571\n\n**Risk of Bias Domains (Cochrane ... | rob_assessment | {
"ground_truth": {
"domain_info": {
"1": {
"label": "unclear",
"source_keys": [
"Domain1：Random sequence generation (selection bias)"
],
"thinking_labels": [
"Sequence generation was not reported."
]
},
"2": {
"label": "unclear... | 952692 | Moodie 1976 | {
"1": "unclear",
"2": "unclear",
"3": "unclear",
"4": "unclear",
"5": "high"
} | {
"1": {
"label": "unclear",
"source_keys": [
"Domain1：Random sequence generation (selection bias)"
],
"thinking_labels": [
"Sequence generation was not reported."
]
},
"2": {
"label": "unclear",
"source_keys": [
"Domain2：Allocation concealment (selection bias)"
]... | 5 | [] | false |
rob_sr | [
{
"content": "\n**Role:** You are a meta-analysis expert. Your task is to perform a Risk of Bias assessment for a study based on the provided full-text and the Cochrane Risk of Bias 1.0 (RoB 1) tool criteria.\n\n**Inputs:**\n\n1. **Full text**: # Robot-assisted Vs Laparoscopic Sacrocolpopexy for High-stage Pelv... | rob_assessment | {
"ground_truth": {
"domain_info": {
"1": {
"label": "low",
"source_keys": [
"Domain1：Random sequence generation (selection bias)"
],
"thinking_labels": [
"Computer generated block randomisation"
]
},
"2": {
"label": "unclear",
... | 31563536 | Illiano 2019 | {
"1": "low",
"2": "unclear",
"3": "unclear",
"4": "high",
"5": "low"
} | {
"1": {
"label": "low",
"source_keys": [
"Domain1：Random sequence generation (selection bias)"
],
"thinking_labels": [
"Computer generated block randomisation"
]
},
"2": {
"label": "unclear",
"source_keys": [
"Domain2：Allocation concealment (selection bias)"
],
... | 5 | [] | false |
rob_sr | [
{
"content": "\n**Role:** You are a meta-analysis expert. Your task is to perform a Risk of Bias assessment for a study based on the provided full-text and the Cochrane Risk of Bias 1.0 (RoB 1) tool criteria.\n\n**Inputs:**\n\n1. **Full text**: ### RESULTS\n\nA total of 63 consecutive patients diagnosed with ph... | rob_assessment | {
"ground_truth": {
"domain_info": {
"1": {
"label": "unclear",
"source_keys": [
"Domain1：Random sequence generation (selection bias)"
],
"thinking_labels": [
"Quote from publication: \"The 59 remaining patients were randomly assigned to 0.1% triamcinolone... | 19692044 | Letendre 2009 | {
"1": "unclear",
"2": "unclear",
"3": "unclear",
"4": "low",
"5": "high"
} | {
"1": {
"label": "unclear",
"source_keys": [
"Domain1：Random sequence generation (selection bias)"
],
"thinking_labels": [
"Quote from publication: \"The 59 remaining patients were randomly assigned to 0.1% triamcinolone (group 2 of 29) or emollient cream (group 1 of 31)...\"; \"patients ... | 5 | [] | false |
rob_sr | [
{
"content": "\n**Role:** You are a meta-analysis expert. Your task is to perform a Risk of Bias assessment for a study based on the provided full-text and the Cochrane Risk of Bias 1.0 (RoB 1) tool criteria.\n\n**Inputs:**\n\n1. **Full text**: ## Methods\nThe study was approved by the Ethics Committee of the U... | rob_assessment | {
"ground_truth": {
"domain_info": {
"1": {
"label": "low",
"source_keys": [
"Domain1：Random sequence generation (selection bias)"
],
"thinking_labels": [
"Computer random number generator"
]
},
"2": {
"label": "low",
"s... | 16595616 | Tritapepe 2006 | {
"1": "low",
"2": "low",
"3": "low",
"4": "low",
"5": "low"
} | {
"1": {
"label": "low",
"source_keys": [
"Domain1：Random sequence generation (selection bias)"
],
"thinking_labels": [
"Computer random number generator"
]
},
"2": {
"label": "low",
"source_keys": [
"Domain2：Allocation concealment (selection bias)"
],
"thinki... | 5 | [] | false |
rob_sr | [
{
"content": "\n**Role:** You are a meta-analysis expert. Your task is to perform a Risk of Bias assessment for a study based on the provided full-text and the Cochrane Risk of Bias 1.0 (RoB 1) tool criteria.\n\n**Inputs:**\n\n1. **Full text**: CYNÄ KOLOCIE\n\n### MIttel signifikant niedriger ars in Gruppe B (p... | rob_assessment | {
"ground_truth": {
"domain_info": {
"1": {
"label": "unclear",
"source_keys": [
"Domain1：Random sequence generation (selection bias)"
],
"thinking_labels": [
"Not reported"
]
},
"2": {
"label": "unclear",
"source_keys":... | 8991841 | Kunz 1996 | {
"1": "unclear",
"2": "unclear",
"3": null,
"4": "high",
"5": "low"
} | {
"1": {
"label": "unclear",
"source_keys": [
"Domain1：Random sequence generation (selection bias)"
],
"thinking_labels": [
"Not reported"
]
},
"2": {
"label": "unclear",
"source_keys": [
"Domain2：Allocation concealment (selection bias)"
],
"thinking_labels": ... | 4 | [
3
] | false |
rob_sr | [
{
"content": "\n**Role:** You are a meta-analysis expert. Your task is to perform a Risk of Bias assessment for a study based on the provided full-text and the Cochrane Risk of Bias 1.0 (RoB 1) tool criteria.\n\n**Inputs:**\n\n1. **Full text**: RESEARCH ARTICLE\nOpen Access\n\n## Infant flow biphasic nasal cont... | rob_assessment | {
"ground_truth": {
"domain_info": {
"1": {
"label": "low",
"source_keys": [
"Domain1：Random sequence generation (selection bias)"
],
"thinking_labels": [
"Computer‐generated random list"
]
},
"2": {
"label": "low",
"sou... | 22475409 | O'Brien 2012 | {
"1": "low",
"2": "low",
"3": "high",
"4": "high",
"5": "low"
} | {
"1": {
"label": "low",
"source_keys": [
"Domain1：Random sequence generation (selection bias)"
],
"thinking_labels": [
"Computer‐generated random list"
]
},
"2": {
"label": "low",
"source_keys": [
"Domain2：Allocation concealment (selection bias)"
],
"thinking... | 5 | [] | false |
rob_sr | [
{
"content": "\n**Role:** You are a meta-analysis expert. Your task is to perform a Risk of Bias assessment for a study based on the provided full-text and the Cochrane Risk of Bias 1.0 (RoB 1) tool criteria.\n\n**Inputs:**\n\n1. **Full text**: # A randomized prospective study of single-port and four-port appro... | rob_assessment | {
"ground_truth": {
"domain_info": {
"1": {
"label": "low",
"source_keys": [
"Domain1：Random sequence generation (selection bias)"
],
"thinking_labels": [
"Randomisation: based on computer‐generated random sampling numbers"
]
},
"2": {
... | 21298522 | Jung 2011 | {
"1": "low",
"2": "unclear",
"3": null,
"4": "high",
"5": "unclear"
} | {
"1": {
"label": "low",
"source_keys": [
"Domain1：Random sequence generation (selection bias)"
],
"thinking_labels": [
"Randomisation: based on computer‐generated random sampling numbers"
]
},
"2": {
"label": "unclear",
"source_keys": [
"Domain2：Allocation concealmen... | 4 | [
3
] | false |
rob_sr | [
{
"content": "\n**Role:** You are a meta-analysis expert. Your task is to perform a Risk of Bias assessment for a study based on the provided full-text and the Cochrane Risk of Bias 1.0 (RoB 1) tool criteria.\n\n**Inputs:**\n\n1. **Full text**: # Prospective randomized trial of preoperative enteral immunonutrit... | rob_assessment | {
"ground_truth": {
"domain_info": {
"1": {
"label": "unclear",
"source_keys": [
"Domain1：Random sequence generation (selection bias)"
],
"thinking_labels": [
"Used minimisation method with an algorithm that stratified for institutions."
]
},... | 22367794 | Fujitani 2012 | {
"1": "unclear",
"2": "low",
"3": null,
"4": "high",
"5": "low"
} | {
"1": {
"label": "unclear",
"source_keys": [
"Domain1：Random sequence generation (selection bias)"
],
"thinking_labels": [
"Used minimisation method with an algorithm that stratified for institutions."
]
},
"2": {
"label": "low",
"source_keys": [
"Domain2：Allocation ... | 4 | [
3
] | false |
rob_sr | [
{
"content": "\n**Role:** You are a meta-analysis expert. Your task is to perform a Risk of Bias assessment for a study based on the provided full-text and the Cochrane Risk of Bias 1.0 (RoB 1) tool criteria.\n\n**Inputs:**\n\n1. **Full text**: ## Abstract:\n\nAtrial fibrillation (AF) is a common clinically sig... | rob_assessment | {
"ground_truth": {
"domain_info": {
"1": {
"label": "unclear",
"source_keys": [
"Domain1：Random sequence generation (selection bias)"
],
"thinking_labels": [
"An interactive voice response system (central) would allocate treatment on contact by the pharma... | 27828791 | Beatch 2017 | {
"1": "unclear",
"2": "low",
"3": "low",
"4": "low",
"5": "low"
} | {
"1": {
"label": "unclear",
"source_keys": [
"Domain1：Random sequence generation (selection bias)"
],
"thinking_labels": [
"An interactive voice response system (central) would allocate treatment on contact by the pharmacist. No information on how the sequence was created"
]
},
"2... | 5 | [] | false |
End of preview. Expand in Data Studio
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
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.
- Downloads last month
- 154