davanstrien/cobol-reasoning-curator-example

这是一个通过Curator工具创建的数据集，用于推理数据集竞赛。数据集中的每个样本包含一组数字，表示药物包的大小。目标是通过嵌套这些药物包来减少总的包数，即找到一个数字，使得它能够包含所有比它小的数字。数据集的描述过程详细说明了如何解决这个问题，最终得出答案是通过计算排序后数字的最大频率。

This dataset was created using the Curator tool for the reasoning datasets competition. Each sample in the dataset contains a set of numbers representing the sizes of drug packets. The goal is to reduce the total number of packets by nesting these drug packets, i.e., finding a number that can contain all smaller numbers. The dataset description process explains in detail how to solve this problem, ultimately concluding that the answer is found by calculating the maximum frequency of numbers after sorting.