智源研究院近日开源发布了一款名为TACO的代码生成数据集。这个数据集旨在为代码生成模型领域提供一个更具挑战性的训练数据集与评测基准。与传统的数据集不同，TACO包含了难度更大、更接近真实编程场景的编程竞赛题目，旨在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。
TACO数据集的发布将为我国代码生成领域的研究与发展提供有力支持。研究院希望通过这个数据集，推动我国代码生成模型在实际应用中的进步，助力人工智能技术更好地服务现实需求。
英文翻译：
News title: Intelligence Generation Institute Releases Open Source Code Generation Dataset TACO
Keywords: Intelligence Generation Institute, open source, code generation, dataset, TACO
News content:
The Intelligence Generation Institute recently released an open source code generation dataset named TACO. This dataset aims to provide a more challenging training dataset and evaluation benchmark for the field of code generation models. Unlike traditional datasets, TACO contains programming competition tasks with higher difficulty and closer to real-world programming scenarios. Its aim is to enhance or evaluate models’ understanding and reasoning abilities in actual application scenarios, rather than simply implementing predefined function features.
The release of the TACO dataset will provide strong support for the research and development of the code generation field in China. The Institute hopes that through this dataset, it will promote the progress of code generation models in practical applications and help artificial intelligence technology better serve real-world needs.
【来源】https://mp.weixin.qq.com/s/L_oSI_06eCqw8cKcYSN3CQ
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