Introduced by Karakanta et al. in MuST-Cinema: a Speech-to-Subtitles corpus

MuST-Cinema is a Multilingual Speech-to-Subtitles corpus ideal for building subtitle-oriented machine and speech translation systems. It comprises audio recordings from English TED Talks, which are automatically aligned at the sentence level with their manual transcriptions and translations.

MuST-Cinema was built by annotating MuST-C with subtitle breaks based on the original subtitle files. Special symbols have been inserted in the aligned sentences to mark subtitle breaks as follows:

  • <eob>: block break (breaks between subtitle blocks)
  • <eol>: line breaks (breaks between lines inside the same subtitle block)
Source: MuST-Cinema


Paper Code Results Date Stars

Dataset Loaders

No data loaders found. You can submit your data loader here.


Similar Datasets


  • Unknown