CS

该数据集能够为特定的代码片段生成自然语言描述，以展现模型理解代码意图并生成自然语言摘要的能力。除了代码摘要任务因成本原因未进行采样外，该数据集还包含了2,000个样本用于测试，以评估模型在代码意图理解和自然语言摘要生成方面的性能。

This dataset can generate natural language descriptions for specific code snippets, demonstrating the model's capacity to understand code intent and produce natural language summaries. Aside from the fact that no sampling was carried out for the code summarization task due to cost constraints, the dataset also contains 2,000 test samples, which are used to evaluate the model's performance in code intent understanding and natural language summary generation.