2026-10-12T10:17:20Z https://www.scidb.cn/oai

10.57760/sciencedb.jcst.00013 2025-11-17T14:49:12Z

2025-11-17 CodeRankEval doi:10.57760/sciencedb.jcst.00013 en This project provides the benchmark dataset introduced in the paper "CodeRankEval: Benchmarking and Analyzing LLM Performance for Code Ranking". It aims to evaluate and analyze the performance of large language models (LLMs) on code ranking tasks. It includes data in three scoring formats: pointwise, pairwise, and listwise. large language models; code ranking; benchmark dataset; empirical study 陈立果 肖正 徐邑江 安睿川 王馨 李映辉 王一栋 曾政然 高庆 张世琨 PUBLIC https://opendatacommons.org/licenses/by/1-0/ dataset http://www.doi.org/10.1007/s11390-025-5514-9 Science Data Bank