RohithMidigudla/gemma-health-medical-sft-balanced

Gemma Health Telugu SFT是一个专注于健康和医疗领域的泰卢固语（Telugu）文本生成数据集，用于监督微调（SFT）。数据集包含146,822行训练数据和36,000行测试数据，每行数据以对话格式组织，包括messages字段（采用TRL/Unsloth对话SFT格式）、text字段（作为纯文本序列化聊天的回退），以及用于可追溯性的source、variant、prompt和response字段。该数据集旨在支持自然语言处理任务，特别是在泰卢固语医疗文本生成方面的应用。Gemma Health Telugu SFT is a Telugu text-generation dataset focused on health and medical domains, designed for supervised fine-tuning (SFT). It includes 146,822 rows for training and 36,000 rows for testing, with each row structured in a conversational format featuring messages (in TRL/Unsloth conversational SFT format), text (as a plain serialized chat text fallback), and traceability fields such as source, variant, prompt, and response. The dataset supports natural language processing tasks, particularly for medical text generation in Telugu.