danielfdias98/derm-reasoning-think-v2

这是一个关于皮肤科推理的数据集，名为皮肤科推理数据集 — 可见思维v2。它是原始数据集的一个清理版本，每个助手响应都按照特定的格式进行结构化，包含可见证据、差异推理和局限性等部分。数据集主要用于图像文本到文本和视觉问答任务，涉及医学、皮肤科、视觉语言等领域。数据集的大小在10K到100K之间，包含了训练集和验证集，并对重复和低质量数据进行了清理和隔离。数据集的结构包括图像、指令、响应、图像ID、类别、来源、内容哈希和质量标志等字段。数据集的许可为CC-BY-NC-SA 4.0，仅限非商业研究使用。

This is a cleaned visible-thinking successor to the original dataset, named Dermatology Reasoning Dataset — Visible Thinking v2. Every assistant response is formatted to include visible evidence, differential reasoning, and limitations. The dataset is primarily used for image-text-to-text and visual-question-answering tasks, covering fields such as medical, dermatology, and vision-language. The dataset size ranges between 10K and 100K, including training and validation sets, with cleaning and quarantining of duplicate and low-quality data. The dataset schema includes fields like image, instruction, response, image_id, class, source, content_hash, and quality_flags. The dataset is licensed under CC-BY-NC-SA 4.0, for non-commercial research use only.