GAIC

该数据集是一个经过脱敏处理的医疗文本竞赛数据集，其中所有的文字均被数字替代。它包含了17个标签的30,000个样本的多标签分类数据集。此外，该数据集融合了初赛和半决赛的匹配数据集，并移除了一些标签。规模上，数据集包含了30,000个样本，任务类型为多标签文本分类。

This dataset is a de-identified medical text competition dataset, where all original textual content has been replaced with digits. It is a multi-label text classification dataset that includes 30,000 samples annotated with 17 labels. Additionally, this dataset integrates the matched datasets from both the preliminary and semi-final rounds, with some labels removed. In terms of scale, the dataset contains 30,000 samples, and the task falls under multi-label text classification.