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--- |
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license: other |
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license_name: hackathon-only |
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license_link: LICENSE |
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dataset_info: |
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features: |
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- name: text |
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dtype: string |
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- name: is_darija |
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dtype: int64 |
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splits: |
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- name: train |
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num_bytes: 172722 |
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num_examples: 1500 |
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download_size: 88297 |
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dataset_size: 172722 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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task_categories: |
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- text-classification |
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language: |
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- ar |
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tags: |
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- darija |
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- classification |
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- msa |
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size_categories: |
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- 1K<n<10K |
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--- |
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# Dataset Card for Sawalni-AI/Darija-Arabic-Classification |
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This dataset provides a starting point to develop a classifier for Moroccan Darija in Arabic writing. |
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## Dataset Details |
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This dataset contains 1.5k classified records, 85% in Moroccan Darija and 15% in Modern Standard Arabic. |
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Classification has been performed using internal tools by the Sawalni AI project, and is based on the Goud/Goud-sum dataset. |
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- **Curated by:** Omar Kamali |
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- **Funded by:** Omar Kamali |
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- **Shared by:** Omar Kamali |
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- **Language(s) (NLP):** Moroccan Darija, Modern Standard Arabic |
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- **License:** Exclusively licensed for use during the ThinkAI.ma 2024 hackathon. |
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## Uses |
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This dataset is intended to develop classification tooling or approaches to distinguish between Moroccan Darija and MSA (Modern Standard Arabic). |
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## Citation Information |
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You can cite this work as follows: |
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``` |
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@dataset{sawalni-darija-arabic-classification, |
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author={ Omar Kamali }, |
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title={ Darija Arabic Classification }, |
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year={ 2024 }, |
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month={ may }, |
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url={ https://huggingface.co/datasets/sawalni-ai/darija-arabic-classification }, |
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doi={ 10.57967/hf/2240 }, |
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publisher={ Hugging face } |
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} |
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``` |
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## References |
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Thanks to the contributors of the Goud/Goud-sum dataset for making their work available. |
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``` |
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@inproceedings{issam2022goudma, |
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title={Goud.ma: a News Article Dataset for Summarization in Moroccan Darija}, |
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author={Abderrahmane Issam and Khalil Mrini}, |
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booktitle={3rd Workshop on African Natural Language Processing}, |
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year={2022}, |
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url={https://openreview.net/forum?id=BMVq5MELb9} |
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} |
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``` |
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## Dataset Card Contact |
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Contact the [Sawalni AI team here](mailto:[email protected]). |
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Learn more at |
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- https://sawalni.com |
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- https://omarkama.li |
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## License |
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This dataset is intended and licensed for exclusive use during the ThinkAI.ma hackathon, edition 2024, except with written permission from the authors. |
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Derivative models are allowed with attribution and citation, provided the models do not include significant portions of the dataset verbatim. |
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Derivative datasets are not allowed. |
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Given sufficient demand a public version can be made available after the hackathon upon request. |
