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+ ---
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+ license: apache-2.0
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+ task_categories:
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+ - question-answering
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+ - text-generation
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+ language:
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+ - zh
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+ - en
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+ tags:
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+ - microbiology
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+ - medical
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+ - qa
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+ - infectious-diseases
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+ - pathogens
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+ size_categories:
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+ - 100K<n<1M
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+ ---
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+
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+ # 🦠 Microbiology QA Complete Dataset v2.1
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+
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+ The most comprehensive microbiology question-answering dataset, combining LLM-generated content, real clinical reports, and filtered open-source medical data.
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+
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+ ## πŸ“Š Dataset Statistics
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+
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+ | Split | Samples |
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+ |-------|---------|
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+ | Train | 278,073 |
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+ | Validation | 15,448 |
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+ | Test | 15,450 |
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+ | **Total** | **308,971** |
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+
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+ ## πŸ“š Data Sources
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+
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+ ### 1. LLM Textbook QA (15,487 samples)
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+ High-quality QA pairs extracted by Qwen-Plus from authoritative textbooks:
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+ - Sanford Guide to Antimicrobial Therapy: 3,350
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+ - Manual of Clinical Microbiology (Vol.1 & 2): 7,665
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+ - Harrison's Principles of Infectious Diseases: 4,472
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+
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+ ### 2. CSV Report Analysis QA (22,842 samples) ✨ Enhanced
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+ From 9,990 real microbiology metagenomic reports:
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+ - Species identification & abundance analysis
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+ - Pathogen detection & clinical significance
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+ - Microbiome diversity assessment
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+ - **Enhancement**: Deduplicated 1,183 entries + Question diversification (5 variants per high-frequency question via Qwen-Plus)
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+
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+ ### 3. Filtered Open-source Medical Data (270,642 samples)
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+ Filtered from 546K+ open-source medical QA using 272 microbiology keywords:
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+
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+ | Source | Samples | Language | Content |
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+ |--------|---------|----------|---------|
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+ | PubMedQA | 187,403 | English | Biomedical research QA |
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+ | MedMCQA | 49,226 | English | Medical multiple choice |
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+ | CMtMedQA | 27,377 | Chinese | Doctor-patient dialogues |
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+ | MedQA | 6,637 | English | USMLE-style questions |
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+
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+ ## πŸ“ Data Format
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+
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+ ```json
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+ {
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+ "instruction": "Is reflective functioning associated with clinical symptoms?",
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+ "input": "Mentalization is the capacity to understand behavior...",
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+ "output": "These findings indicate that RF is associated with...",
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+ "source": "pubmedqa/train_pqa_unlabeled.jsonl",
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+ "category": "pubmed_qa",
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+ "matched_keywords": ["uti"],
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+ "data_source": "opensource"
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+ }
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+ ```
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+
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+ ## 🎯 Topic Coverage
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+
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+ - **Pathogens**: Bacteria, viruses, fungi, parasites
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+ - **Infections**: Pneumonia, sepsis, UTI, etc.
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+ - **Antimicrobials**: Antibiotics, antivirals, antifungals
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+ - **Resistance**: MRSA, VRE, CRE, ESBL
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+ - **Diagnostics**: Culture, PCR, mNGS, mass spectrometry
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+ - **Microbiome**: Gut flora, dysbiosis
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+
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+ ## πŸ“¦ Usage
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset("xingqiang/microbiology-qa-complete")
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+ print(f"Training samples: {len(dataset['train']):,}")
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+ # Output: Training samples: 278,073
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+
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+ # Filter by data source
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+ llm_data = dataset['train'].filter(lambda x: x['data_source'] == 'llm_textbook')
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+ opensource_data = dataset['train'].filter(lambda x: x['data_source'] == 'opensource')
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+ ```
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+
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+ ## πŸ”„ v2.1 Updates
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+
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+ - CSV data deduplication: Removed 1,183 duplicate QA pairs
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+ - Question diversification: Generated 5 expression variants for high-frequency questions
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+ - Reduced question reuse rate for better training diversity
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+
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+ ## πŸ”— Related Datasets
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+
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+ - [microbiology-llm-qa](https://huggingface.co/datasets/xingqiang/microbiology-llm-qa) - Pure LLM-generated (39K)
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+ - [microbiology-qa-v1](https://huggingface.co/datasets/xingqiang/microbiology-qa-v1) - Earlier version (226K)
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+
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+ ## πŸ“… Version Info
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+
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+ - **Version**: 2.1 (Enhanced)
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+ - **Date**: December 2024
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+ - **Project**: [DeepMicroPath](https://github.com/chenxingqiang/DeepMicroPath)
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+
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+ ## πŸ“œ License
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+
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+ Apache 2.0