# Datasets: albertvillanova /tmp-mention

ArXiv:
ddff094
license: cc-by-4.0
tags:
- zenodo


# Dataset Card for MultiLingual LibriSpeech

## Dataset Description

### Dataset Summary

Deprecated: Not every model supports a fast tokenizer. Take a look at this table to check if a model has fast tokenizer support.

Multilingual LibriSpeech (MLS) dataset is a large multilingual corpus suitable for speech research. The dataset is derived from read audiobooks from LibriVox and consists of 8 languages - English, German, Dutch, Spanish, French, Italian, Portuguese, Polish.

• automatic-speech-recognition, audio-speaker-identification: 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 error rate (WER). The task has an active leaderboard which can be found at https://paperswithcode.com/dataset/multilingual-librispeech and ranks models based on their WER.

Deprecated: Not every model supports a fast tokenizer. Take a look at this table to check if a model has fast tokenizer support.

⚠ In general, just avoid the red boxes.
In general, just avoid the red boxes.
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