--- dataset_info: - config_name: Algeria features: - name: ID dtype: string - name: audio dtype: audio: sampling_rate: 16000 - name: duration dtype: float64 - name: transcription dtype: string splits: - name: validation num_bytes: 212803455 num_examples: 1600 - name: train num_bytes: 220829707 num_examples: 1600 download_size: 433384710 dataset_size: 433633162 - config_name: Egypt features: - name: ID dtype: string - name: audio dtype: audio: sampling_rate: 16000 - name: duration dtype: float64 - name: transcription dtype: string splits: - name: validation num_bytes: 213453522 num_examples: 1600 - name: train num_bytes: 232133794 num_examples: 1600 download_size: 445027125 dataset_size: 445587316 - config_name: Jordan features: - name: ID dtype: string - name: audio dtype: audio: sampling_rate: 16000 - name: duration dtype: float64 - name: transcription dtype: string splits: - name: validation num_bytes: 218000219 num_examples: 1600 - name: train num_bytes: 222851937 num_examples: 1600 download_size: 439912124 dataset_size: 440852156 - config_name: Mauritania features: - name: ID dtype: string - name: audio dtype: audio: sampling_rate: 16000 - name: duration dtype: float64 - name: transcription dtype: string splits: - name: validation num_bytes: 188544149 num_examples: 1600 - name: train num_bytes: 191847587 num_examples: 1600 download_size: 379825993 dataset_size: 380391736 - config_name: Morocco features: - name: ID dtype: string - name: audio dtype: audio: sampling_rate: 16000 - name: duration dtype: float64 - name: transcription dtype: string splits: - name: validation num_bytes: 192772707 num_examples: 1600 - name: train num_bytes: 185043632 num_examples: 1600 download_size: 377189001 dataset_size: 377816339 - config_name: Palestine features: - name: ID dtype: string - name: audio dtype: audio: sampling_rate: 16000 - name: duration dtype: float64 - name: transcription dtype: string splits: - name: validation num_bytes: 278026988 num_examples: 1600 - name: train num_bytes: 280740886 num_examples: 1600 download_size: 558565234 dataset_size: 558767874 - config_name: UAE features: - name: ID dtype: string - name: audio dtype: audio: sampling_rate: 16000 - name: duration dtype: float64 - name: transcription dtype: string splits: - name: validation num_bytes: 214892944 num_examples: 1600 - name: train num_bytes: 216164999 num_examples: 1600 download_size: 428864450 dataset_size: 431057943 - config_name: Yemen features: - name: ID dtype: string - name: audio dtype: audio: sampling_rate: 16000 - name: duration dtype: float64 - name: transcription dtype: string splits: - name: validation num_bytes: 242916166 num_examples: 1600 - name: train num_bytes: 231792726 num_examples: 1600 download_size: 472439578 dataset_size: 474708892 configs: - config_name: Algeria data_files: - split: validation path: Algeria/validation-* - split: train path: Algeria/train-* - config_name: Egypt data_files: - split: validation path: Egypt/validation-* - split: train path: Egypt/train-* - config_name: Jordan data_files: - split: validation path: Jordan/validation-* - split: train path: Jordan/train-* - config_name: Mauritania data_files: - split: validation path: Mauritania/validation-* - split: train path: Mauritania/train-* - config_name: Morocco data_files: - split: validation path: Morocco/validation-* - split: train path: Morocco/train-* - config_name: Palestine data_files: - split: validation path: Palestine/validation-* - split: train path: Palestine/train-* - config_name: UAE data_files: - split: validation path: UAE/validation-* - split: train path: UAE/train-* - config_name: Yemen data_files: - split: validation path: Yemen/validation-* - split: train path: Yemen/train-* license: bigscience-openrail-m task_categories: - automatic-speech-recognition language: - ar tags: - ASR - Arabic - NLP - Speech - ArabicNLP - ArabicSpeech - ArabicDialects - Dialects --- ### Dataset Summary This datasets is related to [NADI-2015](https://nadi.dlnlp.ai/2025/) Subtask-2: Multidialectal Arabic ASR. This subtask aims to develop ASR systems that transcribe Arabic speech across dialects. This subtask is hosted on [Codabench](https://www.codabench.org/competitions/8587/). Participants must handle phonetic and dialectal variation using the provided training and validation data. A private test set will be released soon. Models can be evaluated zero-shot on validation data or fine-tuned using the training set. For the SER subtask, participants will evaluate directly on the test set without access to training or validation data. --- #### Access Please register for the shared task. - Register here: [https://forms.gle/WHsyFMtyaewufN7E8](https://forms.gle/WHsyFMtyaewufN7E8) - Codabench → [https://www.codabench.org/competitions/8587](https://www.codabench.org/competitions/8587) - Website → [https://nadi.dlnlp.ai/2025/](https://nadi.dlnlp.ai/2025/) --- ### Contact & Links - 🌐 Website: [https://nadi.dlnlp.ai/2025/](https://nadi.dlnlp.ai/2025/) - 📝 Registration Form: [https://forms.gle/WHsyFMtyaewufN7E8](https://forms.gle/WHsyFMtyaewufN7E8) - 📣 Google Group: [https://groups.google.com/u/4/g/nadi-shared-task-2025](https://groups.google.com/u/4/g/nadi-shared-task-2025) - 📩 Email: [NadiSharedTask@gmail.com](mailto:NadiSharedTask@gmail.com) --- ### Citation Kindly cite the following paper when using this dataset: ``` @article{talafha2024casablanca, title={Casablanca: Data and Models for Multidialectal Arabic Speech Recognition}, author={Talafha, Bashar and Kadaoui, Karima and Magdy, Samar Mohamed and Habiboullah, Mariem and Chafei, Chafei Mohamed and El-Shangiti, Ahmed Oumar and Zayed, Hiba and Alhamouri, Rahaf and Assi, Rwaa and Alraeesi, Aisha and others}, journal={arXiv preprint arXiv:2410.04527}, year={2024} } ``` ### License: BigScience OpenRAIL-M This dataset is released under the BigScience OpenRAIL-M license and is intended for **academic research and non-commercial use only**. Commercial use, redistribution, or integration into products is **prohibited** without prior written permission.