Upper Gastrointestinal Bleeding Endoscopic Diagnosis and Treatment QA Dataset
- Records
- 4130
- Size
- 0.3GB
- Format
- JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
This dataset curates closed-domain question-answer pairs from academic papers on the endoscopic management of upper gastrointestinal bleeding, including timing of endoscopy, recognition of bleeding signs, hemostatic technique selection, rebleeding risk, and follow-up care. Structured information covers question categories, clinical focus areas, key findings, management recommendations, and evidence assessments, supporting specialty QA systems, medical knowledge services, and supervised fine-tuning of domain models. Its focus on fine-grained, literature-based endoscopic knowledge also makes it useful for knowledge retrieval and QA evaluation in medical research and education.
Overview
Dataset Insights
Preview
Sample Examples
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| qa_source | object | Original text and provenance information for question-answer data curated from academic papers. |
| sft_prompt | string | A user-side prompt prepared from the original question for supervised fine-tuning. |
| key_findings | array | Structured summaries of key information, including bleeding signs, risk stratification, and endoscopic findings. |
| clinical_focus | array | Fine-grained clinical knowledge points extracted from the question and answer. |
| risk_follow_up | object | Structured summary of rebleeding risk and subsequent follow-up management. |
| sft_completion | string | A specialty answer prepared for supervised fine-tuning using the reference answer, evidence basis, and applicability limits. |
| management_plan | array | Evidence-informed recommendations for examination, hemostasis, repeat assessment, or subsequent management. |
| question_category | string | The primary endoscopic diagnosis or treatment topic identified from the question. |
| evidence_assessment | object | Summary of the strength and supporting basis of the evidence, along with its applicability and limitations. |
Trust
Compliance Statement
Authorization Type
Proprietary - Commercial AI Training License (No Redistribution)
Commercial Use
Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization
No PII, no real company names, simulated scenarios follow industry standards
Compliance System
Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs
FAQ
Frequently Asked Questions
- What topics does the dataset cover?
- It covers endoscopic care for upper gastrointestinal bleeding, including timing of examination, bleeding signs, hemostatic technique selection, rebleeding risk, and follow-up management. Fields also capture question categories, clinical focus areas, key findings, management recommendations, and evidence assessments.
- How is the data organized, and which training tasks does it support?
- The data consists of question-answer pairs curated from papers, with user-side prompts and target answers for supervised fine-tuning, alongside structured clinical points and evidence information. It can support closed-domain medical QA, specialty answer generation, and domain-specific fine-tuning. Check and transform the data format as needed before training.
- Are the answers evidence-based, and can they be used for clinical decisions?
- The QA content is based on knowledge from relevant academic literature and includes evidence assessments and notes on applicability. Literature may have limits in currency or scope, so the dataset is intended for research, education, and model development, not as a substitute for clinical judgment or current guidelines.
- How can I obtain the dataset, and what licensing applies?
- Availability, delivery format, and licensing depend on the product listing or sales agreement. Review the applicable terms and compliance requirements before using the data for commercial training, redistribution, or clinical product development.
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Cite this Work
@dataset{Mobiusi2026,
title={Upper Gastrointestinal Bleeding Endoscopic Diagnosis and Treatment QA Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/6be95c9f2880a82788cded4173698ace?dataset_task_cate_id=6},
urldate={2026-10-27},
keywords={upper gastrointestinal bleeding dataset,gastrointestinal bleeding QA,endoscopic treatment QA,digestive endoscopy data,medical QA dataset,clinical knowledge training data,medical LLM fine-tuning,rebleeding risk management},
version={1.0}
}Using this in research? Please cite us.