데이터셋 탐색

MuST-C currently represents the largest publicly available multilingual corpus (one-to-many) for speech translation. It covers eight language directions, from English to German, Spanish, French, Italian, Dutch, Portuguese, Romanian and Russian. The corpus consists of audio, transcriptions and translations of English TED talks, and it comes with a predefined training, validation and test split. Source: One-to-Many Multilingual End-to-End Speech Translation Image Source: https://mt.fbk.eu/must-c

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