A large-scale medical reasoning dataset generated using arcee-ai/Trinity-Mini, containing over 810,000 samples with detailed chain-of-thought reasoning for medical and healthcare questions.

	Dataset Overview

Metric Value

Model arcee-ai/Trinity-Mini

Total Samples ~810,374

Estimated Tokens ~1.52 Billion

Content Tokens ~542 Million

Reasoning Tokens ~977 Million

Language English

Schema

Each… See the full description on the dataset page: https://huggingface.co/datasets/OpenMed/Medical-Reasoning-SFT-Trinity-Mini.