智源研究院近日开源发布了一款全新的数据集与评测基准——TACO（Task-oriented Code Generation）。TACO是一个专注于算法的代码生成数据集，其设计宗旨是为代码生成模型领域提供更具挑战性的训练数据集与评测基准。
与传统的代码生成数据集相比，TACO的数据集包含了难度更大、更接近真实编程场景的编程竞赛题目。它强调提升或评测模型在实际应用场景中对问题的理解和推理能力，而不仅仅是实现既定的函数功能。
这一数据集的发布，无疑为代码生成模型领域的研究者提供了一个全新的、更有挑战性的研究对象。它不仅能够帮助研究者更好地理解和解决代码生成问题，也有望推动该领域的进一步发展。
英文标题Title：TACO Code Generation Dataset released by Beijing Academy of Artificial Intelligence
英文关键词Keywords：Beijing Academy of Artificial Intelligence, TACO, code generation
英文新闻内容News content：
The Beijing Academy of Artificial Intelligence (BAAI) recently open-sourced a new dataset and evaluation benchmark called TACO (Task-oriented Code Generation). TACO is a code generation dataset that focuses on algorithms, designed to provide a more challenging training dataset and evaluation benchmark for the code generation model field.
Unlike traditional code generation datasets, TACO includes programming competition questions of greater difficulty and closer to real programming scenarios. It emphasizes enhancing or evaluating a model’s understanding and reasoning ability in real-world application scenarios, rather than just implementing predefined function functionality.
The release of this dataset无疑为code generation model field researchers提供了一个全新的、更具挑战性的研究对象。它不仅有助于研究者更好地理解和解决code generation问题，也有望推动该领域的进一步发展。
【来源】https://mp.weixin.qq.com/s/L_oSI_06eCqw8cKcYSN3CQ
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