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README.md
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---
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dataset_info:
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features:
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- name: client_id
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dtype: string
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dtype: string
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splits:
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- name: train
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num_bytes: 61639639.192
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num_examples: 2283
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- name: validation
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num_bytes: 56247822.024
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num_examples: 1758
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- name: test
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-
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num_examples: 1695
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configs:
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- config_name: ar-en
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data_files:
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path: en-ar/validation-*
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- split: test
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path: en-ar/test-*
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---
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---
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dataset_info:
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- config_name: ar-en
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features:
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- name: client_id
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dtype: string
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dtype: string
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splits:
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- name: train
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num_examples: 2283
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- name: test
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num_examples: 1758
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- name: validation
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num_examples: 1695
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- config_name: en-ar
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features:
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- name: client_id
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dtype: string
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- name: file
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dtype: string
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- name: audio
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dtype:
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audio:
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sampling_rate: 16000
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- name: sentence
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dtype: string
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- name: translation
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dtype: string
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- name: id
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dtype: string
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splits:
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- name: train
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num_examples: 289430
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- name: test
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num_examples: 15531
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- name: validation
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num_examples: 15531
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configs:
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- config_name: ar-en
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data_files:
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path: en-ar/validation-*
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- split: test
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path: en-ar/test-*
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license: cc0-1.0
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task_categories:
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- automatic-speech-recognition
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- text-to-speech
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language:
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- ar
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- en
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size_categories:
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- 100K<n<1M
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---
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## Dataset Description
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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](https://github.com/facebookresearch/covost).
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## Data Splits (EN-AR)
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| lang | train | validation | test |
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|-------|--------|------------|-------|
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| EN-AR | 289430 | 15531 | 15531 |
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| AR-EN | 2283 | 1758 | 1695 |
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## Citation
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```
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@misc{wang2020covost,
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title={CoVoST 2: A Massively Multilingual Speech-to-Text Translation Corpus},
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author={Changhan Wang and Anne Wu and Juan Pino},
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year={2020},
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eprint={2007.10310},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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