VoxPopuli

Dataset Card for Voxpopuli Table of Contents Table of Contents Dataset Description Dataset Summary Supported Tasks and Leaderboards Languages Dataset Structure Data Instances Data Fields Data Splits Dataset Creation Curation Rationale Source Data Annotations Personal and Sensitive Information Considerations for Using the Data Social Impact of Dataset Discussion of Biases Other Known Limitations Additional Information Dataset Curators Licensing Information Citation Information Contributions Dataset Description **Homepage:** https://github.com/facebookresearch/voxpopuli **Repository:** https://github.com/facebookresearch/voxpopuli **Paper:** https://arxiv.org/abs/2101.00390 **Point of Contact:** changhan@fb.com, mriviere@fb.com, annl@fb.com Dataset Summary VoxPopuli is a large-scale multilingual speech corpus for representation learning, semi-supervised learning and interpretation. The raw data is collected from 2009-2020 European Parliament event recordings. We acknowledge the European Parliament for creating and sharing these materials. This implementation contains transcribed speech data for 18 languages. It also contains 29 hours of transcribed speech data of non-native English intended for research in ASR for accented speech (15 L2 accents) Example usage VoxPopuli contains labelled data for 18 languages. To load a specific language pass its name as a config name: To load all the languages in a single dataset use "multilang" config name: To load a specific set of languages, use "multilang" config name and pass a list of required languages to `languages` parameter: To load accented English data, use "en_accented" config name: Note that L2 English subset contains only `test` split.** Supported Tasks and Leaderboards automatic-speech-recognition: The dataset can be used to train a model for Automatic Speech Recognition (ASR). The model is presented with an audio file and asked to transcribe the audio file to written text. The most common evaluation metric is the word