--- license: cc-by-nc-nd-4.0 dataset_info: - config_name: Algeria features: - name: audio dtype: audio - name: seg_id dtype: string - name: transcription dtype: string - name: gender dtype: string - name: duration dtype: float64 splits: - name: validation num_bytes: 636948361 num_examples: 844 - name: test num_bytes: 596602724 num_examples: 843 download_size: 1215310166 dataset_size: 1233551085 - config_name: Egypt features: - name: audio dtype: audio - name: seg_id dtype: string - name: transcription dtype: string - name: gender dtype: string - name: duration dtype: float64 splits: - name: validation num_bytes: 635527273 num_examples: 846 - name: test num_bytes: 650820801 num_examples: 846 download_size: 1157255309 dataset_size: 1286348074 - config_name: Jordan features: - name: audio dtype: audio - name: seg_id dtype: string - name: transcription dtype: string - name: gender dtype: string - name: duration dtype: float64 splits: - name: validation num_bytes: 418493582 num_examples: 848 - name: test num_bytes: 423762790 num_examples: 848 download_size: 788256254 dataset_size: 842256372 - config_name: Mauritania features: - name: audio dtype: audio - name: seg_id dtype: string - name: transcription dtype: string - name: gender dtype: string - name: duration dtype: float64 splits: - name: validation num_bytes: 624134522 num_examples: 953 - name: test num_bytes: 598880731 num_examples: 953 download_size: 1191233989 dataset_size: 1223015253 - config_name: Morocco features: - name: audio dtype: audio - name: seg_id dtype: string - name: transcription dtype: string - name: gender dtype: string - name: duration dtype: float64 splits: - name: validation num_bytes: 636022167.005 num_examples: 1045 - name: test num_bytes: 639302464.46 num_examples: 1045 download_size: 1225648114 dataset_size: 1275324631.4650002 - config_name: Palestine features: - name: audio dtype: audio - name: seg_id dtype: string - name: transcription dtype: string - name: gender dtype: string - name: duration dtype: float64 splits: - name: validation num_bytes: 635220732 num_examples: 667 - name: test num_bytes: 619623761 num_examples: 667 download_size: 1212707132 dataset_size: 1254844493 - config_name: UAE features: - name: audio dtype: audio - name: seg_id dtype: string - name: transcription dtype: string - name: gender dtype: string - name: duration dtype: float64 splits: - name: validation num_bytes: 648357489 num_examples: 813 - name: test num_bytes: 604083281 num_examples: 813 download_size: 1108277578 dataset_size: 1252440770 - config_name: Yemen features: - name: audio dtype: audio - name: seg_id dtype: string - name: transcription dtype: string - name: gender dtype: string - name: duration dtype: float64 splits: - name: validation num_bytes: 656114251 num_examples: 803 - name: test num_bytes: 682738357 num_examples: 803 download_size: 1266260015 dataset_size: 1338852608 configs: - config_name: Algeria data_files: - split: validation path: Algeria/validation-* - split: test path: Algeria/test-* - config_name: Egypt data_files: - split: validation path: Egypt/validation-* - split: test path: Egypt/test-* - config_name: Jordan data_files: - split: validation path: Jordan/validation-* - split: test path: Jordan/test-* - config_name: Mauritania data_files: - split: validation path: Mauritania/validation-* - split: test path: Mauritania/test-* - config_name: Morocco data_files: - split: validation path: Morocco/validation-* - split: test path: Morocco/test-* - config_name: Palestine data_files: - split: validation path: Palestine/validation-* - split: test path: Palestine/test-* - config_name: UAE data_files: - split: validation path: UAE/validation-* - split: test path: UAE/test-* - config_name: Yemen data_files: - split: validation path: Yemen/validation-* - split: test path: Yemen/test-* language: - ar tags: - speech - arabic - asr - speech_recognition - speech_processing - dialects - algeria - egypt - jordan - mauritania - morocco - palestine - uae - yemen pretty_name: casablanca --- # Casablanca: Data and Models for Multidialectal Arabic Speech Recognition Casablanca In spite of the recent progress in speech processing, the majority of world languages and dialects remain uncovered. This situation only furthers an already wide technological divide, thereby hindering technological and socioeconomic inclusion. This challenge is largely due to the absence of datasets that can empower diverse speech systems. In this paper, we seek to mitigate this obstacle for a number of Arabic dialects by presenting Casablanca, a large-scale community-driven effort to collect and transcribe a multi-dialectal Arabic dataset. The dataset covers eight dialects: Algerian, Egyptian, Emirati, Jordanian, Mauritanian, Moroccan, Palestinian, and Yemeni, and includes annotations for transcription, gender, dialect, and code-switching. We also develop a number of strong baselines exploiting Casablanca. The project page for Casablanca is accessible at: [https://www.dlnlp.ai/speech/casablanca/](https://www.dlnlp.ai/speech/casablanca/) https://arxiv.org/abs/2410.04527 ** **Please note that in this version, we are releasing only the validation and test sets.** ** ## Citation If you use Casablanca work, please cite the paper where it was introduced: **BibTeX:** ``` @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} } ```