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--- |
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annotations_creators: |
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- crowdsourced |
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language_creators: |
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- crowdsourced |
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language: |
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- ace |
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- ban |
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- bug |
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- id |
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- min |
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- jav |
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- sun |
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license: cc |
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multilinguality: |
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- multilingual |
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size_categories: |
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- 1K<n<10K |
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source_datasets: |
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- librivox |
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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: LibriVox Indonesia 1.0 |
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--- |
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# Dataset Card for LibriVox Indonesia 1.0 |
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|
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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:** https://huggingface.co/datasets/indonesian-nlp/librivox-indonesia |
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- **Repository:** https://huggingface.co/datasets/indonesian-nlp/librivox-indonesia |
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- **Point of Contact:** [Cahya Wirawan](mailto:cahya.wirawan@gmail.com) |
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### Dataset Summary |
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The LibriVox Indonesia dataset consists of MP3 audio and a corresponding text file we generated from the public |
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domain audiobooks [LibriVox](https://librivox.org/). We collected only languages in Indonesia for this dataset. |
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The original LibriVox audiobooks or sound files' duration varies from a few minutes to a few hours. Each audio |
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file in the speech dataset now lasts from a few seconds to a maximum of 20 seconds. |
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We converted the audiobooks to speech datasets using the forced alignment software we developed. It supports |
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multilingual, including low-resource languages, such as Acehnese, Balinese, or Minangkabau. We can also use it |
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for other languages without additional work to train the model. |
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The dataset currently consists of 8 hours in 7 languages from Indonesia. We will add more languages or audio files |
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as we collect them. |
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### Languages |
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``` |
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Acehnese, Balinese, Bugisnese, Indonesian, Minangkabau, Javanese, Sundanese |
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``` |
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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 and its `sentence`. Additional fields include |
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`reader` and `language`. |
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```python |
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{ |
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'path': 'librivox-indonesia/sundanese/universal-declaration-of-human-rights/human_rights_un_sun_brc_0000.mp3', |
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'language': 'sun', |
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'reader': '3174', |
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'sentence': 'pernyataan umum ngeunaan hak hak asasi manusa sakabeh manusa', |
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'audio': { |
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'path': 'librivox-indonesia/sundanese/universal-declaration-of-human-rights/human_rights_un_sun_brc_0000.mp3', |
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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': 44100 |
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}, |
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} |
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``` |
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### Data Fields |
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`path` (`string`): The path to the audio file |
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`language` (`string`): The language of the audio file |
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`reader` (`string`): The reader Id in LibriVox |
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`sentence` (`string`): The sentence the user read from the book. |
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`audio` (`dict`): 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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### Data Splits |
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The speech material has only train split. |
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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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[More Information Needed] |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[More Information Needed] |
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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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Public Domain, [CC-0](https://creativecommons.org/share-your-work/public-domain/cc0/) |
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### Citation Information |
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``` |
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``` |
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