A Supplementary Material A.1 Dataset Nutrition Labels

A.2 Mercury Data Distribution and Customized Data Structures Except for all built-in Python data structures, Mercury imports another two structures to enhance the diversity and complexity as shown in Figure 4. Table 6: Mercury-eval encompasses 256 tasks, the difficulty of which has been balanced for model evaluation. Mercury-train Figure 4: Mercury supports two customized comprises the remaining 1,633 tasks for data structures: TreeNode and ListNode. Each executed code within the sandbox is subject to certain constraints to ensure fair utilization of resources and to prevent any single code from monopolizing the system resource. Specifically, there are two primary constraints: a time limit and a memory limit. The time limit restricts how long the code can execute before being forcibly terminated, thereby ensuring that no infinite loops or excessively long computations negatively impact the availability of the sandbox.