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Data · dataset · 2025

CodeRankEval

Listed in ScienceDB

This project provides the benchmark dataset introduced in the paper "CodeRankEval: Benchmarking and Analyzing LLM Performance for Code Ranking".

Description

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.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Machine learning 70%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.jcst.000139 d agoJSON v1
FieldAssertionExtractorEvidence
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