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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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- num_bytes: 54767676.25
 
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  num_examples: 1695
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- download_size: 160406466
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- dataset_size: 172655137.466
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+
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+
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+ ## Dataset Description
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+
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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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+
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+
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+ ## Data Splits (EN-AR)
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+
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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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+
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+ ## Citation
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+
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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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+ ```