OpenSubtitles

A dataset of movie and TV subtitles, useful for training models on conversational language and dialogue systems.

About Dataset

OpenSubtitles is a large multilingual text dataset derived from movie and television subtitles contributed by users to the OpenSubtitles platform. Distributed through the OPUS project, it contains aligned subtitle text across many languages and time periods. The dataset reflects conversational, informal, and spoken-style language, often including dialogue structure, timing information, and real-world expressions. Due to its subtitle origin, the text captures natural spoken phrasing, short sentences, and contextual dialogue patterns across diverse genres and settings.

Purpose of Dataset

Opensubtitles Is Widely Used For Training And Evaluating Language Models On Conversational And Dialogue-based Tasks. It Is Particularly Valuable For Machine Translation, Multilingual Modeling, And Dialogue Systems Because Of Its Parallel Text Across Languages. Researchers Also Use It To Study Spoken Language Patterns, Conversational Turn-taking, And Cross-lingual Alignment. For Llms, It Helps Improve Natural Dialogue Generation And Understanding Of Informal, Speech-like Text.