智源研究院近日宣布开源发布一个全新的代码生成训练数据集与评测基准——TACO。这一数据集的发布，标志着智源研究院在算法领域的研究又迈出了重要一步。
TACO数据集专注于算法的代码生成，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。这一数据集包含难度更大、更接近真实编程场景的编程竞赛题目，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。
这一创新性的数据集和评测基准的发布，无疑将为代码生成模型的研究和应用提供更为丰富和深入的训练材料。同时，它也将推动算法研究领域的发展，提高人工智能在解决复杂问题方面的能力。
智源研究院表示，他们期待通过TACO数据集和评测基准的发布，能够激发更多的研究者和开发者对代码生成模型的关注和研究，推动这一领域的技术进步和应用普及。同时，他们也将继续致力于在算法研究和人工智能领域的深入研究，为推动科技进步做出更大的贡献。
英语如下：
Title: Zhiyuan Research Institute Opens TACO, a Challenging Code Generation Dataset to Boost AI Models’ Practical Coding Abilities
Keywords: 1. Zhiyuan Research Institute, TACO, code generation
Article: Zhiyuan Research Institute recently announced the open-source release of a new code generation training dataset and evaluation benchmark – TACO. This announcement marks another significant step in the research of the algorithm domain by Zhiyuan Research Institute.
TACO dataset focuses on algorithmic code generation, aiming to provide a more challenging training dataset and evaluation benchmark for the field of code generation models. This dataset includes programming competition questions that are more difficult and closer to real programming scenarios, emphasizing the model’s ability to understand and reason about problems in actual application scenarios, rather than just implementing predefined function features.
This innovative dataset and evaluation benchmark release will undoubtedly provide more rich and in-depth training materials for the research and application of code generation models. At the same time, it will also promote the development of the algorithm research field and enhance artificial intelligence’s ability to solve complex problems.
Zhiyuan Research Institute stated that they hope that the launch of the TACO dataset and evaluation benchmark can stimulate more researchers and developers to pay attention to and research code generation models, promoting technological progress and application popularity in this field. Meanwhile, they will continue to devote themselves to in-depth research in algorithms and the field of artificial intelligence, making greater contributions to promoting scientific and technological progress.
【来源】https://mp.weixin.qq.com/s/L_oSI_06eCqw8cKcYSN3CQ
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