Microsoft Research Social Media Conversation Corpus

12,696 个推文 ID 的集合，代表从 Twitter 日志中提取的 4,232 个三步对话片段。数据集中的每一行代表一个单一的上下文-消息-响应三元组，众包注释者评估该三元组在衡量上下文响应质量的 5 点李克特量表上平均得分为 4 或更高。数据已随机分为调整（开发）和测试集，分别包含 2118 和 2114 个三元组。它仅出于学术研究目的而发布给自然语言处理社区。为了访问底层推文和相关元数据，您需要调用 Twitter API。

A collection of 12,696 tweet IDs representing 4,232 three-turn conversation segments extracted from Twitter logs. Each row in the dataset represents a single context-message-response triplet, which was rated an average score of 4 or higher on a 5-point Likert scale by crowdsourced annotators for its context-response quality. The dataset was randomly split into a validation (development) set and a test set, containing 2,118 and 2,114 triplets respectively. This dataset is released to the natural language processing (NLP) community solely for academic research purposes. To access the underlying tweets and their associated metadata, users need to call the Twitter API.

搜集汇总

背景与挑战

背景概述

该数据集包含12,696个推文ID，对应4,232个高质量的三步对话片段，每个片段以上下文-消息-响应三元组形式呈现，平均评分在4分以上。数据已分为调整集和测试集，专为自然语言处理学术研究设计，需通过Twitter API访问原始推文。