Datasets:
Sub-tasks:
language-modeling
Languages:
Catalan
Multilinguality:
monolingual
Size Categories:
100K<n<1M
Language Creators:
found
Annotations Creators:
found
Source Datasets:
original
Tags:
License:
| annotations_creators: | |
| - found | |
| language_creators: | |
| - found | |
| language: | |
| - ca | |
| license: | |
| - cc-by-nc-4.0 | |
| multilinguality: | |
| - monolingual | |
| size_categories: | |
| - 100K<n<1M | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - automatic-speech-recognition | |
| - text-generation | |
| task_ids: | |
| - language-modeling | |
| pretty_name: TV3Parla | |
| # Dataset Card for TV3Parla | |
| ## Table of Contents | |
| - [Table of Contents](#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://collectivat.cat/asr#tv3parla | |
| - **Repository:** | |
| - **Paper:** [Building an Open Source Automatic Speech Recognition System for Catalan](https://www.isca-speech.org/archive/iberspeech_2018/kulebi18_iberspeech.html) | |
| - **Point of Contact:** [Col·lectivaT](mailto:info@collectivat.cat) | |
| ### Dataset Summary | |
| This corpus includes 240 hours of Catalan speech from broadcast material. | |
| The details of segmentation, data processing and also model training are explained in Külebi, Öktem; 2018. | |
| The content is owned by Corporació Catalana de Mitjans Audiovisuals, SA (CCMA); | |
| we processed their material and hereby making it available under their terms of use. | |
| This project was supported by the Softcatalà Association. | |
| ### Supported Tasks and Leaderboards | |
| The dataset can be used for: | |
| - Language Modeling. | |
| - Automatic Speech Recognition (ASR) transcribes utterances into words. | |
| ### Languages | |
| The dataset is in Catalan (`ca`). | |
| ## Dataset Structure | |
| ### Data Instances | |
| ``` | |
| { | |
| 'path': 'tv3_0.3/wav/train/5662515_1492531876710/5662515_1492531876710_120.180_139.020.wav', | |
| 'audio': {'path': 'tv3_0.3/wav/train/5662515_1492531876710/5662515_1492531876710_120.180_139.020.wav', | |
| 'array': array([-0.01168823, 0.01229858, 0.02819824, ..., 0.015625 , | |
| 0.01525879, 0.0145874 ]), | |
| 'sampling_rate': 16000}, | |
| 'text': 'algunes montoneres que que et feien anar ben col·locat i el vent també hi jugava una mica de paper bufava vent de cantó alguns cops o de cul i el pelotón el vent el porta molt malament hi havia molts nervis' | |
| } | |
| ``` | |
| ### Data Fields | |
| - `path` (str): 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]`. | |
| - `text` (str): Transcription of the audio file. | |
| ### Data Splits | |
| The dataset is split into "train" and "test". | |
| | | train | test | | |
| |:-------------------|-------:|-----:| | |
| | Number of examples | 159242 | 2220 | | |
| ## Dataset Creation | |
| ### Curation Rationale | |
| [More Information Needed] | |
| ### Source Data | |
| #### Initial Data Collection and Normalization | |
| [More Information Needed] | |
| #### Who are the source language producers? | |
| [More Information Needed] | |
| ### Annotations | |
| #### Annotation process | |
| [More Information Needed] | |
| #### Who are the annotators? | |
| [More Information Needed] | |
| ### 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 | |
| [Creative Commons Attribution-NonCommercial 4.0 International](https://creativecommons.org/licenses/by-nc/4.0/). | |
| ### Citation Information | |
| ``` | |
| @inproceedings{kulebi18_iberspeech, | |
| author={Baybars Külebi and Alp Öktem}, | |
| title={{Building an Open Source Automatic Speech Recognition System for Catalan}}, | |
| year=2018, | |
| booktitle={Proc. IberSPEECH 2018}, | |
| pages={25--29}, | |
| doi={10.21437/IberSPEECH.2018-6} | |
| } | |
| ``` | |
| ### Contributions | |
| Thanks to [@albertvillanova](https://github.com/albertvillanova) for adding this dataset. | |