metadata
dataset_info:
- config_name: ar-en
features:
- name: client_id
dtype: string
- name: file
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: sentence
dtype: string
- name: translation
dtype: string
- name: id
dtype: string
splits:
- name: train
num_examples: 2283
- name: test
num_examples: 1695
- name: validation
num_examples: 1758
- config_name: en-ar
features:
- name: client_id
dtype: string
- name: file
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 16000
- name: sentence
dtype: string
- name: translation
dtype: string
- name: id
dtype: string
splits:
- name: train
num_examples: 289430
- name: test
num_examples: 15531
- name: validation
num_examples: 15531
configs:
- config_name: ar-en
data_files:
- split: train
path: ar-en/train-*
- split: validation
path: ar-en/validation-*
- split: test
path: ar-en/test-*
- config_name: en-ar
data_files:
- split: train
path: en-ar/train-*
- split: validation
path: en-ar/validation-*
- split: test
path: en-ar/test-*
license: cc-by-nc-4.0
task_categories:
- automatic-speech-recognition
- text-to-speech
- translation
language:
- ar
- en
size_categories:
- 100K<n<1M
Dataset Description
CoVoST 2 is a large-scale multilingual speech translation corpus based on Common Voice, developed by FAIR. This is the English-to-Arabic portion of the dataset. The original dataset can be found here.
Data Splits (EN-AR)
lang | train | validation | test |
---|---|---|---|
EN-AR | 289430 | 15531 | 15531 |
AR-EN | 2283 | 1758 | 1695 |
Citation
@misc{wang2020covost,
title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},
author={Changhan Wang and Anne Wu and Juan Pino},
year={2020},
eprint={2007.10310},
archivePrefix={arXiv},
primaryClass={cs.CL}
}