Quicksort Dataset
收藏arXiv2025-09-30 收录
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https://github.com/geektoni/learning_programs_with_arguments
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资源简介：
该数据集包含了用于训练模型学习快速排序算法的整数列表。这些列表的元素数量从2到7个不等，列表中的整数被限制在0到10的范围内。此外，该数据集用于评估能够接受函数参数的模型，重点在于学习实现快速排序算法所需的程序层次结构。数据规模涉及从2到7个元素的整数列表，任务是通过组合程序来学习快速排序算法。
This dataset includes integer lists designed for training models to learn the quicksort algorithm. The length of these lists varies from 2 to 7, and all integers in the lists are limited to the range between 0 and 10. Furthermore, this dataset is utilized to evaluate models capable of accepting function arguments, with the key focus on learning the program-level structure required to implement the quicksort algorithm. The task of this dataset is to learn the quicksort algorithm through program composition.
