该任务现有的数据集主要有如下这些： 1. Ma et, al, 2018, NAACL（数据集没有命名） 任务类型：完形填空 论文：Challenging reading comprehension on daily conversation: Passage completion on multiparty dialog. 数据集：GitHub - emorynlp/reading-comprehension: Reading comprehension on multiparty dialog. 2. DREAM, TACL 2019 任务类型：单选题 论文：Dream: A challenge data set and models for dialogue-based reading comprehension. 数据集：A Challenge Dataset and Models for Dialogue-Based Reading Comprehension 3. FriendsQA, SIGDial 2019 任务类型：Span-base 论文：FriendsQA: Open-Domain Question Answering on TV Show Transcripts 数据集：GitHub - emorynlp/FriendsQA: Question answering on multiparty dialogue 4. Molweni，COLING 2020 任务类型：Span-based 论文：Molweni: A Challenge Multiparty Dialogue-based Machine Reading Comprehension Dataset with Discourse Structure 数据集：GitHub - HIT-SCIR/Molweni 5. QAConv, arXiv 2021 任务类型：Span-based 论文：QAConv: Question Answering on Informative Conversations 数据集：GitHub - salesforce/QAConv: This repository maintains the QAConv dataset, a question-answering dataset on informative conversations including business emails, panel discussions, and work channels. 目前此任务上使用比较多的数据集主要是DREAM、FriendsQA和Molweni。在QAConv数据集论文中，作者还将现有的几个数据集进行了对比。数据集对比，来自QAConv论文
二、模型
这部分主要推荐DREAM、FriendsQA和Molweni这3个数据集上比较有代表性的模型论文。 1. DREAM数据集相关模型论文推荐a. DUMA: Reading Comprehension with Transposition Thinking. arXiv 2020.b. Multi-task Learning with Multi-head Attention for Multi-choice Reading Comprehension. arXiv 2020. 2. FriendsQA数据集相关模型论文推荐a. Transformers to Learn Hierarchical Contexts in Multiparty Dialogue for Span-based Question Answering. ACL 2020.b. Graph-based knowledge integration for question answering over dialogue. COLING 2020. 3. Molweni数据集相关模型论文推荐a. DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension. IJCNN 2021.b. Self-and Pseudo-self-supervised Prediction of Speaker and Key-utterance for Multi-party Dialogue Reading Comprehension. EMNLP 2021 Findings.c. Enhanced Speaker-aware Multi-party Multi-turn Dialogue Comprehension. arXiv 2021. 以上是我简单整理的Dialogue MRC任务数据集和推荐的几篇相关论文，欢迎补充！
