Datasets:
Tasks:
Audio Classification
Sub-tasks:
speaker-identification
Multilinguality:
multilingual
Size Categories:
100K<n<1M
Language Creators:
crowdsourced
Annotations Creators:
crowdsourced
Source Datasets:
extended|common_voice
License:
| pretty_name: Common Language | |
| annotations_creators: | |
| - crowdsourced | |
| language_creators: | |
| - crowdsourced | |
| languages: | |
| - ar | |
| - br | |
| - ca | |
| - cnh | |
| - cs | |
| - cv | |
| - cy | |
| - de | |
| - dv | |
| - el | |
| - en | |
| - eo | |
| - es | |
| - et | |
| - eu | |
| - fa | |
| - fr | |
| - fy-NL | |
| - ia | |
| - id | |
| - it | |
| - ja | |
| - ka | |
| - kab | |
| - ky | |
| - lv | |
| - mn | |
| - mt | |
| - nl | |
| - pl | |
| - pt | |
| - rm-sursilv | |
| - ro | |
| - ru | |
| - rw | |
| - sah | |
| - sl | |
| - sv-SE | |
| - ta | |
| - tr | |
| - tt | |
| - uk | |
| - zh-CN | |
| - zh-HK | |
| - zh-TW | |
| licenses: | |
| - cc-by-4-0 | |
| multilinguality: | |
| - multilingual | |
| size_categories: | |
| - 100K<n<1M | |
| source_datasets: | |
| - extended|common_voice | |
| task_categories: | |
| - speech-processing | |
| task_ids: | |
| - other-other-speech-classification | |
| # 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 | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### Licensing Information | |
| [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) | |
| ### 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. | |