CholecT50
收藏arXiv2025-09-30 收录
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资源简介：
该数据集名为CholecT50，用于训练模型进行三元组识别任务，其中采用了三元组文本样本。此外，该数据集还用于通过精确度、召回率和F1分数等指标来评估模型性能。其核心任务是三元组识别。
This dataset, named CholecT50, is intended for training models to perform triple recognition tasks, where triple text samples are utilized. Additionally, it is used to evaluate model performance using metrics such as precision, recall, and F1-score. Its core task is triple recognition.
