{"kind":"task","effective_mode":"full","benchmark":{"kind":"benchmark","effective_mode":"full","slug":"scicode","formal_name":"SciCode","introduction":"SciCode evaluates the ability to solve scientific research problems through code. Problems are decomposed into subproblems; this dev import preserves the relationships between 15 parent problems and 50 subproblems.","introduction_ja":"","introduction_en":"","category":"Category not supplied","task_count":null,"acquisition_status":"Acquisition status not supplied","official_url":"https://huggingface.co/datasets/SciCode1/SciCode","indexing_mode":"noindex","profile":{"resources":[],"task_format":"","scoring":"","metric":"","size":"","answer_access":"","license":"","citation":"","maintainer":"","released":"","why_hard":"","related":[]}},"task_id":"e4da4aa8-3fff-58ba-accf-35005c739450","task_key":"dev--69e335f0-d1ca-5a82-bab6-b343e9761c03--10~2e3","task_revision_id":"3","upstream_id":"10.3","short_description":"Write a Python function to generate the distance matrix `distances` and pair…","config":"","split":"dev","body":"{\"step_background\":\"\",\"step_description_prompt\":\"Write a Python function to generate the distance matrix `distances` and pair indices `pair_idxs` from the given particle coordinates `configs` of shape (nparticles, 3). Return the distance vectors `distances` for each particle pair of shape (nparticles choose 2, 3) and `pair_idxs`, which is a list of pair indices.\"}","display_format":"scicode-step","language":"","answer_status":"published","assets":[],"source_url":"https://huggingface.co/datasets/SciCode1/SciCode","history":"initial import","indexing_mode":"noindex","subproblems":[],"grids":[]}