OctoMed/BloodMNIST

该数据集包含健康受试者的个体血细胞显微镜图像。任务是根据形态和视觉特征将每个细胞分类为八种细胞类型之一。在此任务中，通过使用GPT-4o采样，为每个示例收集了16个理由追踪，这些追踪可在`responses`列中找到。我们非常感谢并基于https://medmnist.com上的原始数据源进行了构建。

This dataset contains microscope images of individual blood cells captured from healthy subjects. The task involves classifying each cell into one of eight cell types based on morphology and visual features. 16 reasoning traces were collected for each example in this task by sampling with GPT-4o, available in the `responses` column. We greatly appreciate and build from the original data source available at https://medmnist.com