Datasets:
metadata
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
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num_examples: 844
- name: test
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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:
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num_examples: 846
- name: test
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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:
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- name: test
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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
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num_examples: 953
- name: test
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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
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num_examples: 1045
- name: test
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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
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num_examples: 667
- name: test
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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
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num_examples: 813
- name: test
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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
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://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}
}