Datasets:

cahya
/

librivox-indonesia

	---
	annotations_creators:
	- crowdsourced
	language_creators:
	- crowdsourced
	language:
	- ace
	- ban
	- bug
	- id
	- min
	- jav
	- sun
	license: cc
	multilinguality:
	- multilingual
	size_categories:
	- 1K<n<10K
	source_datasets:
	- librivox
	task_categories:
	- automatic-speech-recognition
	task_ids: []
	pretty_name: LibriVox Indonesia 1.0
	---
	# Dataset Card for LibriVox Indonesia 1.0

	## Table of Contents
	- [Dataset Description](#dataset-description)
	- [Dataset Summary](#dataset-summary)
	- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
	- [Languages](#languages)
	- [Dataset Structure](#dataset-structure)
	- [Data Instances](#data-instances)
	- [Data Fields](#data-fields)
	- [Data Splits](#data-splits)
	- [Dataset Creation](#dataset-creation)
	- [Curation Rationale](#curation-rationale)
	- [Source Data](#source-data)
	- [Annotations](#annotations)
	- [Personal and Sensitive Information](#personal-and-sensitive-information)
	- [Considerations for Using the Data](#considerations-for-using-the-data)
	- [Social Impact of Dataset](#social-impact-of-dataset)
	- [Discussion of Biases](#discussion-of-biases)
	- [Other Known Limitations](#other-known-limitations)
	- [Additional Information](#additional-information)
	- [Dataset Curators](#dataset-curators)
	- [Licensing Information](#licensing-information)
	- [Citation Information](#citation-information)
	- [Contributions](#contributions)

	## Dataset Description
	- Homepage: https://huggingface.co/datasets/indonesian-nlp/librivox-indonesia
	- Repository: https://huggingface.co/datasets/indonesian-nlp/librivox-indonesia
	- Point of Contact: [Cahya Wirawan](mailto:cahya.wirawan@gmail.com)

	### Dataset Summary
	The LibriVox Indonesia dataset consists of MP3 audio and a corresponding text file we generated from the public
	domain audiobooks [LibriVox](https://librivox.org/). We collected only languages in Indonesia for this dataset.
	The original LibriVox audiobooks or sound files' duration varies from a few minutes to a few hours. Each audio
	file in the speech dataset now lasts from a few seconds to a maximum of 20 seconds.

	We converted the audiobooks to speech datasets using the forced alignment software we developed. It supports
	multilingual, including low-resource languages, such as Acehnese, Balinese, or Minangkabau. We can also use it
	for other languages without additional work to train the model.

	The dataset currently consists of 8 hours in 7 languages from Indonesia. We will add more languages or audio files
	as we collect them.

	### Languages
	```
	Acehnese, Balinese, Bugisnese, Indonesian, Minangkabau, Javanese, Sundanese
	```

	## Dataset Structure
	### Data Instances
	A typical data point comprises the `path` to the audio file and its `sentence`. Additional fields include
	`reader` and `language`.
	```python
	{
	'path': 'librivox-indonesia/sundanese/universal-declaration-of-human-rights/human_rights_un_sun_brc_0000.mp3',
	'language': 'sun',
	'reader': '3174',
	'sentence': 'pernyataan umum ngeunaan hak hak asasi manusa sakabeh manusa',
	'audio': {
	'path': 'librivox-indonesia/sundanese/universal-declaration-of-human-rights/human_rights_un_sun_brc_0000.mp3',
	'array': array([-0.00048828, -0.00018311, -0.00137329, ..., 0.00079346, 0.00091553, 0.00085449], dtype=float32),
	'sampling_rate': 44100
	},
	}
	```

	### Data Fields
	`path` (`string`): The path to the audio file

	`language` (`string`): The language of the audio file

	`reader` (`string`): The reader Id in LibriVox

	`sentence` (`string`): The sentence the user read from the book.

	`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]`.

	### Data Splits
	The speech material has only train split.

	## Dataset Creation
	### Curation Rationale
	[Needs More Information]
	### Source Data
	#### Initial Data Collection and Normalization
	[Needs More Information]
	#### Who are the source language producers?
	[Needs More Information]
	### Annotations
	#### Annotation process
	[Needs More Information]
	#### Who are the annotators?
	[Needs More Information]
	### Personal and Sensitive Information
	[More Information Needed]
	## Considerations for Using the Data
	### Social Impact of Dataset
	[More Information Needed]
	### Discussion of Biases
	[More Information Needed]
	### Other Known Limitations
	[More Information Needed]
	## Additional Information
	### Dataset Curators
	[More Information Needed]
	### Licensing Information
	Public Domain, [CC-0](https://creativecommons.org/share-your-work/public-domain/cc0/)
	### Citation Information
	```

	```