Datasets:
Tasks:
Automatic Speech Recognition
Formats:
parquet
Languages:
Arabic
Size:
10K - 100K
ArXiv:
License:
| 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: [[email protected]](mailto:[email protected]) | |
| --- | |
| ### 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. | |