ProCQA: A Large-scale Community-based Programming Question Answering Dataset for Code Search

arXiv:2403.16702v1 Announce Type: new
Abstract: Retrieval-based code question answering seeks to match user queries in natural language to relevant code snippets. Previous approaches typically rely on pretraining models using crafted bi-modal and uni-modal datasets to align text and code representations. In this paper, we introduce ProCQA, a large-scale programming question answering dataset extracted from the StackOverflow community, offering naturally structured mixed-modal QA pairs. To validate its effectiveness, we propose a modality-agnostic contrastive pre-training approach to improve the alignment of text …

abstract arxiv code community cs.cl cs.ir cs.se dataset datasets language match modal natural natural language paper pretraining programming queries question question answering retrieval scale search text type