TACO

该数据集包含了来自Codeforces、LeetCode和AtCoder等平台的25,443个训练问题，每个问题都附有详细的标签。此外，每个问题还包括了用于评估的解决方案和测试用例。数据集的规模为25,443个问题，任务重点在于编程问题解决。This dataset includes 25,443 training problems from platforms such as Codeforces, LeetCode, AtCoder, and others. Each problem is accompanied by detailed tags, as well as solutions and test cases for evaluation. With a total of 25,443 problems, this dataset focuses on programming problem-solving tasks.

搜集汇总

背景与挑战

背景概述

TACO数据集是一个专注于编程问题解决的大规模数据集，包含来自Codeforces、LeetCode和AtCoder等平台的25,443个训练问题。每个问题都提供了详细标签、解决方案和测试用例，适用于评估和训练编程相关模型。