COMETA

该数据集是带有SNOMED注释的最大公共社交媒体数据集之一，包含了四种不同的训练、开发、测试划分方式：分层一般（SG）、分层特定（SS）、零样本一般（ZG）和零样本特定（ZS）。此外，它还包含了用于训练、开发和测试的多重划分。该数据集的任务是零样本医学实体检索。

This dataset is one of the largest public social media datasets annotated with SNOMED. It encompasses four distinct training, development, and test split schemes: stratified general (SG), stratified specific (SS), zero-shot general (ZG), and zero-shot specific (ZS). Additionally, it includes multiple splits designed for training, development, and testing. The core task supported by this dataset is zero-shot medical entity retrieval.