This paper presents BSTC (Baidu Speech Translation Corpus), a large-scale
Chinese-English speech translation dataset. This dataset is constructed based
on a collection of licensed videos of talks or lectures, including about 68
hours of Mandarin data, their manual transcripts and translations into English,
as well as automated transcripts by an automatic speech recognition (ASR)
model. We have further asked three experienced interpreters to simultaneously
interpret the testing talks in a mock conference setting. This corpus is
expected to promote the research of automatic simultaneous translation as well
as the development of practical systems. We have organized simultaneous
translation tasks and used this corpus to evaluate automatic simultaneous
translation systems.

本文介绍了 BSTC (Baidu Speech Translation Corpus) 数据集，该数据集基于一组讲座授权视频构建，包括约 68 小时的普通话数据、它们的手动转录和英语翻译，以及自动语音识别 (ASR) 模型的自动转录。我们进一步邀请了三名经验丰富的口译员在模拟会议场景中同时口译测试讲座。预计该语料库将促进自动同声传译的研究以及实用系统的开发。我们组织了同声传译任务，并使用该语料库评估了自动同声传译系统。