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README.md
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- split: validation
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path: data/validation-*
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---
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- split: validation
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path: data/validation-*
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---
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# Dataset Details
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This is the Indonesia-to-English dataset for Speech Translation task. This dataset is acquired from [CoVoST](https://huggingface.co/datasets/facebook/covost2).
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CoVoST2 is end-to-end speech-to-text translation. The dataset is based on using Mozillas open-source Common Voice database of
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crowdsourced voice recordings. CoVoST2 is covering several languages, one of which is Indonesia. The Indonesian data has 2879 utterances and approximately 2 hours and 58 minutes of audio data.
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# Processing Steps
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Before the Fleurs dataset is extracted, there are some preprocessing steps to the data:
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1. Remove some unused columns.
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2. Switch the `id` column position into the first column.
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3. Rename the `sentence` column to `text_indo` and `translation` column to `text_en`.
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4. Cast the audio column into Audio object.
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5. Split into Train and Validation.
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# Dataset Structure
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```
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DatasetDict({
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train: Dataset({
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features: ['id', 'audio', 'text_indo', 'text_en'],
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num_rows: 2892
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}),
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validation: Dataset({
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features: ['id', 'audio', 'text_indo', 'text_en'],
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num_rows: 724
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}),
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})
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```
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# Citation
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```
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@article
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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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# Credits:
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Huge thanks to [Yasmin Moslem ](https://huggingface.co/ymoslem) for mentoring me.
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