  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.
