LCQMC

# Dataset Card for "LCQMC" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)displayName: LCQMC (Large-scale Chinese Question Matching Corpus) labelTypes: - Chinese Corpus license: - LCQMC Custom paperUrl: https://aclanthology.org/C18-1166.pdf publishDate: "2018-06-06" publishUrl: http://icrc.hitsz.edu.cn/info/1037/1146.htm publisher: - Harbin Institute of Technology - Alibaba tags: - Chinese --- # Dataset Introduction ## Overview Question matching is a fundamental task in QA, which is generally considered a semantic matching task and sometimes a paraphrase recognition task. The goal of this task is to retrieve questions with similar intent to the input query from existing databases. We introduce a large-scale Chinese question matching corpus named LCQMC. Unlike paraphrase corpora, LCQMC is more general as it focuses on intent matching rather than paraphrase. The corpus contains 260,068 manually annotated question pairs, which are split into three subsets: a training set with 238,766 question pairs, a development set with 8,802 question pairs, and a test set with 12,500 question pairs. We evaluated several state-of-the-art sentence matching methods on this corpus. The experimental results not only verify the excellent quality of LCQMC but also provide reliable baseline performance for further research on this corpus. ## Download Dataset :modelscope-code[]{type="git"}

搜集汇总

背景与挑战

背景概述

LCQMC是一个大规模中文问题匹配语料库，由哈尔滨工业大学和阿里巴巴于2018年发布，包含260,068个人工标注的问题对，专注于问题意图匹配任务。该数据集分为训练集、开发集和测试集，旨在支持语义匹配和问答系统研究，提供了可靠的基线性能评估。