Datasets:
common_language

	---
	annotations_creators:
	- crowdsourced
	language_creators:
	- crowdsourced
	language:
	- ar
	- br
	- ca
	- cnh
	- cs
	- cv
	- cy
	- de
	- dv
	- el
	- en
	- eo
	- es
	- et
	- eu
	- fa
	- fr
	- fy
	- ia
	- id
	- it
	- ja
	- ka
	- kab
	- ky
	- lv
	- mn
	- mt
	- nl
	- pl
	- pt
	- rm
	- ro
	- ru
	- rw
	- sah
	- sl
	- sv
	- ta
	- tr
	- tt
	- uk
	- zh
	license:
	- cc-by-4.0
	multilinguality:
	- multilingual
	size_categories:
	- 100K<n<1M
	source_datasets:
	- extended\|common_voice
	task_categories:
	- audio-classification
	task_ids:
	- speaker-identification
	pretty_name: Common Language
	language_bcp47:
	- fy-NL
	- rm-sursilv
	- sv-SE
	- zh-CN
	- zh-HK
	- zh-TW
	dataset_info:
	features:
	- name: client_id
	dtype: string
	- name: path
	dtype: string
	- name: sentence
	dtype: string
	- name: age
	dtype: string
	- name: gender
	dtype: string
	- name: language
	dtype:
	class_label:
	names:
	'0': Arabic
	'1': Basque
	'2': Breton
	'3': Catalan
	'4': Chinese_China
	'5': Chinese_Hongkong
	'6': Chinese_Taiwan
	'7': Chuvash
	'8': Czech
	'9': Dhivehi
	'10': Dutch
	'11': English
	'12': Esperanto
	'13': Estonian
	'14': French
	'15': Frisian
	'16': Georgian
	'17': German
	'18': Greek
	'19': Hakha_Chin
	'20': Indonesian
	'21': Interlingua
	'22': Italian
	'23': Japanese
	'24': Kabyle
	'25': Kinyarwanda
	'26': Kyrgyz
	'27': Latvian
	'28': Maltese
	'29': Mangolian
	'30': Persian
	'31': Polish
	'32': Portuguese
	'33': Romanian
	'34': Romansh_Sursilvan
	'35': Russian
	'36': Sakha
	'37': Slovenian
	'38': Spanish
	'39': Swedish
	'40': Tamil
	'41': Tatar
	'42': Turkish
	'43': Ukranian
	'44': Welsh
	config_name: full
	splits:
	- name: train
	num_bytes: 7116761
	num_examples: 22194
	- name: validation
	num_bytes: 1855233
	num_examples: 5888
	- name: test
	num_bytes: 1877970
	num_examples: 5963
	download_size: 3761951178
	dataset_size: 10849964
	---

	# Dataset Card for common_language

	## 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://zenodo.org/record/5036977
	- Repository: https://github.com/speechbrain/speechbrain/tree/develop/recipes/CommonLanguage
	- Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
	- Leaderboard: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
	- Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Dataset Summary

	This dataset is composed of speech recordings from languages that were carefully selected from the CommonVoice database. The total duration of audio recordings is 45.1 hours (i.e., 1 hour of material for each language). The dataset has been extracted from CommonVoice to train language-id systems.

	### Supported Tasks and Leaderboards

	The baselines for language-id are available in the SpeechBrain toolkit (see recipes/CommonLanguage):
	https://github.com/speechbrain/speechbrain

	### Languages

	List of included languages:
	```
	Arabic, Basque, Breton, Catalan, Chinese_China, Chinese_Hongkong, Chinese_Taiwan, Chuvash, Czech, Dhivehi, Dutch, English, Esperanto, Estonian, French, Frisian, Georgian, German, Greek, Hakha_Chin, Indonesian, Interlingua, Italian, Japanese, Kabyle, Kinyarwanda, Kyrgyz, Latvian, Maltese, Mongolian, Persian, Polish, Portuguese, Romanian, Romansh_Sursilvan, Russian, Sakha, Slovenian, Spanish, Swedish, Tamil, Tatar, Turkish, Ukranian, Welsh
	```

	## Dataset Structure

	### Data Instances

	A typical data point comprises the `path` to the audio file, and its label `language`. Additional fields include `age`, `client_id`, `gender` and `sentence`.

	```python
	{
	'client_id': 'itln_trn_sp_175',
	'path': '/path/common_voice_kpd/Italian/train/itln_trn_sp_175/common_voice_it_18279446.wav',
	'audio': {'path': '/path/common_voice_kpd/Italian/train/itln_trn_sp_175/common_voice_it_18279446.wav',
	'array': array([-0.00048828, -0.00018311, -0.00137329, ..., 0.00079346, 0.00091553, 0.00085449], dtype=float32),
	'sampling_rate': 48000},
	'sentence': 'Con gli studenti è leggermente simile.',
	'age': 'not_defined',
	'gender': 'not_defined',
	'language': 22
	}
	```

	### Data Fields

	`client_id` (`string`): An id for which client (voice) made the recording

	`path` (`string`): The path to the audio file

	- `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]`.

	`language` (`ClassLabel`): The language of the recording (see the `Languages` section above)

	`sentence` (`string`): The sentence the user was prompted to speak

	`age` (`string`): The age of the speaker.

	`gender` (`string`): The gender of the speaker

	### Data Splits

	The dataset is already balanced and split into train, dev (validation) and test sets.

	\| Name \| Train \| Dev \| Test \|
	\|:---------------------------------:\|:------:\|:------:\|:-----:\|
	\| # of utterances \| 177552 \| 47104 \| 47704 \|
	\| # unique speakers \| 11189 \| 1297 \| 1322 \|
	\| Total duration, hr \| 30.04 \| 7.53 \| 7.53 \|
	\| Min duration, sec \| 0.86 \| 0.98 \| 0.89 \|
	\| Mean duration, sec \| 4.87 \| 4.61 \| 4.55 \|
	\| Max duration, sec \| 21.72 \| 105.67 \| 29.83 \|
	\| Duration per language, min \| ~40 \| ~10 \| ~10 \|

	## Dataset Creation

	### Curation Rationale

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Source Data

	#### Initial Data Collection and Normalization

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	#### Who are the source language producers?

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Annotations

	#### Annotation process

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	#### Who are the annotators?

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Personal and Sensitive Information

	The dataset consists of people who have donated their voice online. You agree to not attempt to determine the identity of speakers in the Common Voice dataset.

	## Considerations for Using the Data

	### Social Impact of Dataset

	The dataset consists of people who have donated their voice online. You agree to not attempt to determine the identity of speakers in the Common Voice dataset.

	### Discussion of Biases

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	### Other Known Limitations

	The Mongolian and Ukrainian languages are spelled as "Mangolian" and "Ukranian" in this version of the dataset.

	[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

	## Additional Information

	### Dataset Curators

	[Ganesh Sinisetty; Pavlo Ruban; Oleksandr Dymov; Mirco Ravanelli](https://zenodo.org/record/5036977#.YdTZ5hPMJ70)

	### Licensing Information

	[Creative Commons Attribution 4.0 International](https://creativecommons.org/licenses/by/4.0/legalcode)

	### Citation Information

	```
	@dataset{ganesh_sinisetty_2021_5036977,
	author = {Ganesh Sinisetty and
	Pavlo Ruban and
	Oleksandr Dymov and
	Mirco Ravanelli},
	title = {CommonLanguage},
	month = jun,
	year = 2021,
	publisher = {Zenodo},
	version = {0.1},
	doi = {10.5281/zenodo.5036977},
	url = {https://doi.org/10.5281/zenodo.5036977}
	}
	```

	### Contributions

	Thanks to [@anton-l](https://github.com/anton-l) for adding this dataset.