Datasets:
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README.md
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Given that some of the corpora used for training and evaluation are available only under CC-BY-4.0 licenses, we have chosen to license the entire dataset under CC-BY-4.0.
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## Citations
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When using the
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```bibtex
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@misc{linagora2024Linto-tn,
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author = {Hedi Naouara and Jérôme Louradour and Jean-Pierre Lorré},
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title = {LinTO Audio and Textual Datasets to Train and Evaluate Automatic Speech Recognition in Tunisian Arabic Dialect},
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}
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```
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```bibtex
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@misc{abdallah2023leveraging,
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title={Leveraging Data Collection and Unsupervised Learning for Code-switched Tunisian Arabic Automatic Speech Recognition},
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Given that some of the corpora used for training and evaluation are available only under CC-BY-4.0 licenses, we have chosen to license the entire dataset under CC-BY-4.0.
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## Citations
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When using the LinTO DataSet Audio for Arabic Tunisian dataset, please cite the following paper (arxiv:2504.02604).
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```bibtex
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@misc{linagora2024Linto-tn,
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title = {LinTO Audio and Textual Datasets to Train and Evaluate Automatic Speech Recognition in Tunisian Arabic Dialect},
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author = {Hedi Naouara and Jérôme Louradour and Jean-Pierre Lorré},
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year = {2025},
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month = {March},
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eprint={2504.02604},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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note={Good Data Workshop, AAAI 2025},
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url={arxiv.org/abs/2504.02604},
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}
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```
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Please also consider citing the papers of datasets included in this dataset:
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```bibtex
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@misc{abdallah2023leveraging,
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title={Leveraging Data Collection and Unsupervised Learning for Code-switched Tunisian Arabic Automatic Speech Recognition},
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