JiayiHe/Fair_MedXpertQA_subset

该数据集包含多个字段，如original_id、id和question等，均为字符串类型。其中question字段表示问题，options字段包含五个选项A至E，label字段表示问题的标签。此外，数据集还包含images字段（图像列表）、medical_task字段（医疗任务类型）、body_system字段（身体系统）、question_type字段（问题类型）、original_question字段（原始问题）、fairness_attribute_category字段（公平属性类别）、fairness_attribute_name字段（公平属性名称）和fairness_attribute_value字段（公平属性值）。数据集分为train训练集，共有24800个示例，总数据量为约12.4GB。

The dataset includes fields such as original_id, id, and question, all of which are string typed. The question field represents the question, the options field contains five options from A to E, and the label field represents the questions label. Additionally, the dataset includes fields like images (list of images), medical_task (type of medical task), body_system (body system), question_type (type of question), original_question (original question), fairness_attribute_category (category of fairness attribute), fairness_attribute_name (name of fairness attribute), and fairness_attribute_value (value of fairness attribute). The dataset is split into a train set with a total of 24,800 examples and a total dataset size of approximately 12.4GB.