We introduce a new dataset of conversational speech representing English from
India, Nigeria, and the United States. The Multi-Dialect Dataset of Dialogues
(MD3) strikes a new balance between open-ended conversational speech and
task-oriented dialogue by prompting participants to perform a series of short
information-sharing tasks. This facilitates quantitative cross-dialectal
comparison, while avoiding the imposition of a restrictive task structure that
might inhibit the expression of dialect features. Preliminary analysis of the
dataset reveals significant differences in syntax and in the use of discourse
markers. The dataset, which will be made publicly available with the
publication of this paper, includes more than 20 hours of audio and more than
200,000 orthographically-transcribed tokens.

本文介绍了一个新的跨方言语音数据集，用于英语印度、尼日利亚和美国口音。该数据集通过提示参与者执行一系列短的信息分享任务来平衡开放式对话和面向任务的对话，以促进量化的跨方言比较，并避免对方言特征表现的限制性任务结构的强制性。初步分析表明该数据集在语法和话语标记的使用上有显着差异。该数据集包括超过 20 个小时的音频和超过 200,000 个正字法转录的标记，并已公开发布。