II-Medical-Reasoning-SFT: Multi-Turn Clinical Dialogues for LLM Fine-Tuning

Intelligent-Internet's curated dataset supports supervised fine-tuning for medical reasoning tasks. It comprises multi-turn dialogues, clinical case scenarios, and question-answer pairs reflecting real-world clinical practice. The dataset was last updated on July 3, 2025.

Use Cases

• Fine-tuning models for differential diagnosis based on multi-turn clinical dialogues.
• Training models for evidence-based decision-making using clinical case scenarios.
• Developing patient communication skills in AI based on question-answer pairs reflecting clinical practice.

Strengths

• Dataset is specifically curated for supervised fine-tuning of LLMs.
• Content reflects complex reasoning processes from real-world clinical practice.
• Last updated on 2025-07-03, indicating recent maintenance.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file size are unknown, which may limit suitability assessment.
• Data may reflect source bias inherent to the platform and author's curation.

Provenance

Source

Intelligent-Internet via Hugging Face

Collection Method

Curated collection of dialogues, scenarios, and QA pairs.

Time Range

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Freshness

Last updated 2025-07-03 10:34:55

Geography

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