OctoMed/PneumoniaMNIST
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资源简介：
该数据集包含用于二元肺炎分类的儿童胸部X光片图像。任务是根据放射学特征将每张X光片分类为正常或肺炎。在此任务中，通过使用GPT-4o采样，为每个示例收集了16个推理轨迹，存储在`responses`列中。我们非常感谢并基于https://medmnist.com的原始数据源构建了此数据集。
This dataset contains pediatric chest X-ray images for binary pneumonia classification. The task involves classifying each X-ray as either normal or indicative of pneumonia based on radiographic 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
提供机构：
OctoMed
