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--- |
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multilinguality: |
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vi: |
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- 190K<n<200K |
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source_datasets: |
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- extended|youtube |
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task_categories: |
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- automatic-speech-recognition |
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task_ids: [] |
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Pretty_name: Youtube Casual Audio |
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Annotations_creators: |
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- crowdsourced |
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Language_creators: |
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- datlq |
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Languages: |
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- vi |
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Licenses: |
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- cc0-1.0 |
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--- |
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# Dataset Card for common_voice |
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## Table of Contents |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Annotations](#annotations) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [Dataset Curators](#dataset-curators) |
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- [Licensing Information](#licensing-information) |
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- [Citation Information](#citation-information) |
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- [Contributions](#contributions) |
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## Dataset Description |
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- **Homepage:** [Needs More Information] |
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- **Repository:** [Needs More Information] |
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- **Paper:** [Needs More Information] |
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- **Leaderboard:** [Needs More Information] |
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- **Point of Contact:** [Needs More Information] |
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### Dataset Summary |
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[Needs More Information] |
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### Supported Tasks and Leaderboards |
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[Needs More Information] |
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### Languages |
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Vietnamese |
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## Dataset Structure |
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### Data Instances |
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A typical data point comprises the path to the audio file, called path and its sentence. Additional fields include accent, age, client_id, up_votes down_votes, gender, locale and segment. |
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` |
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{ |
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'file_path': 'audio/_1OsFqkFI38_34.304_39.424.wav', |
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'script': 'Ik vind dat een dubieuze procedure.', |
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'audio': {'path': 'audio/_1OsFqkFI38_34.304_39.424.wav', |
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'array': array([-0.00048828, -0.00018311, -0.00137329, ..., 0.00079346, 0.00091553, 0.00085449], dtype=float32), |
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'sampling_rate': 16000} |
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` |
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### Data Fields |
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file_path: The path to the audio file |
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audio: A dictionary containing the path to the downloaded audio file, the decoded audio array, and the sampling rate. Note that when accessing the audio column: `dataset[0]["audio"]` the audio file is automatically decoded and resampled to `dataset.features["audio"].sampling_rate`. Decoding and resampling of a large number of audio files might take a significant amount of time. Thus it is important to first query the sample index before the `"audio"` column, *i.e.* `dataset[0]["audio"]` should **always** be preferred over `dataset["audio"][0]`. |
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script: The sentence the user was prompted to speak |
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### Data Splits |
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The speech material has been subdivided into portions for train, test, validated. |
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The val, test, train are all data that has been reviewed, deemed of high quality and split into val, test and train. |
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## Dataset Creation |
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### Curation Rationale |
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[Needs More Information] |
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### Source Data |
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#### Initial Data Collection and Normalization |
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[Needs More Information] |
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#### Who are the source language producers? |
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[Needs More Information] |
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### Annotations |
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#### Annotation process |
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[Needs More Information] |
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#### Who are the annotators? |
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[Needs More Information] |
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### Personal and Sensitive Information |
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[Needs More Information] |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[Needs More Information] |
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### Discussion of Biases |
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[More Information Needed] |
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### Other Known Limitations |
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[More Information Needed] |
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## Additional Information |
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### Dataset Curators |
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[More Information Needed] |
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### Licensing Information |
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[Needs More Information] |
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### Citation Information |
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[Needs More Information] |
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### Contributions |
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Thanks to [@datlq](https://github.com/datlq98) for adding this dataset. |
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