audio
audioduration (s) 1.18
8.43
| sentence
stringclasses 702
values |
---|---|
Centre de Sante Gaspar Camara |
|
Texaco |
|
Rond Point Escoa |
|
Clinique du Cap Manuel |
|
Cité Darou Salam |
|
Cité Sonatel Liberté |
|
Gendarmerie Keur Massar |
|
Terminus Parcelles Assainies |
|
Pharmacie Guigon |
|
Pharmacie Ningala |
|
Mbengue |
|
Hôpital Youssou Mbargane Diop |
|
Terminus Daroukhane laa bëgg dem |
|
Marché Taly Bu makk |
|
Cinéma Poste Thiaroye |
|
Centre de Santé Yeumbeul |
|
Ndiaréme Limamoulaye |
|
Centre Electrique de Kounoune |
|
La Demeure |
|
Université Virtuel du Sénégal |
|
Lycée Kenedy par Dakar Dem Dikk |
|
Rond Point Diaxay |
|
Ecole Bachir |
|
Marché THIAKHOGNE |
|
Terminus Diamalaye |
|
Hôpital Youssou Mbargane Diop |
|
Grand Yoff Cinéma Christa |
|
Plage de Fann |
|
Usine Méche Darling |
|
Mamelles |
|
Centre Sportiff de la BCEAO |
|
ban car mooy dem Cheikh Ahmadou Bamba Mbacke Avenue, Dakar |
|
Imprimerie Tandjan |
|
Grande Mosquee de Dakar |
|
Avenue peytavin |
|
Terminus Cap Manuel |
|
Pharmacie Rond Point Santhiaba |
|
SOCOCIM |
|
CFAO Motors Senegal |
|
Tally bou bess Parcelle |
|
Bargny |
|
CICES Foire de Dakar |
|
Pharmacie Ibrahima Niass |
|
Pharmacie Cite Asecna |
|
Mosquée de Ndunkou |
|
Dispensaire Norade |
|
Prefecture Guédiawaye |
|
Lycée Thierno Seydou Nourou Tall |
|
Batrain |
|
Talli Serigne Mourade Mbacké |
|
Sicap Sacré Coeur |
|
Supermarché machallah |
|
Assemblee Nationale |
|
Malicka |
|
Station Shell Grand Yoff |
|
Sonatel Parcelles Assainies |
|
SIPRES Al AZHAR |
|
Police Pikine |
|
Rond Point Case Bi |
|
nan laay def ba dem Boulangerie marché mame Diarra |
|
Sodida |
|
P A I |
|
Dieupeul Rue Elhadji mansour Sy |
|
Police Pikine |
|
Ndiaréme Limamoulaye |
|
Rond Point nord foire |
|
Mairie Grand Yoff |
|
Maternité Dial Bass |
|
Mosquée Massalikoul Jinan |
|
Pont Mariste |
|
Point E |
|
Boulevard gueule tapée |
|
Sodida |
|
Avenue Faidherbe |
|
Pharmacie Mame Mbor |
|
Grande Mosquee de Dakar |
|
Dépot Dakar Dem Dikk laa bëgg dem |
|
Dalifort |
|
Stadium Marius Ndiaye |
|
Croisement Niague |
|
Ouakam Cité Assemblée Nationale |
|
Bank of africa Pikine |
|
SOTIBA |
|
Cité Sagef |
|
Rond Point Escoa |
|
Venisia |
|
HLM Grand Yoff |
|
Station shell icotaf |
|
Rond Point Diaxay |
|
Garage Femme Auto |
|
Croisement Tally Diallo |
|
Terminus tivaoune peulh |
|
Pont Grand Yoff |
|
Grand Yoff |
|
Embarcadére Dakar Gorée |
|
Pont Colobane |
|
Camp Militaire Ouakam |
|
dama bëgg dem LY-MO-DAC |
|
Téne Ba |
|
Gare Ferroviaire de Dakar |
End of preview. Expand
in Dataset Viewer.
Urban Bus Wolof Speech Dataset
This dataset contains audio recordings and their transcriptions in Wolof, related to urban bus transportation. The goal is to facilitate the development of Automatic Speech Recognition (ASR) models to help illiterate people use existing apps to find which bus they can take to reach their destination without needing to know how to read or write.
Dataset Structure
Features
audio
: An audio file containing the speech in Wolof.- Format: MP3
- Sampling Rate: 16 kHz
sentence
: The textual transcription of the audio in Wolof.
Splits
The dataset is divided into two splits:
Split | Number of Examples |
---|---|
Train | 5,346 |
Test | 1,337 |
Example Usage
Here's how to load and use this dataset with the 🤗 Datasets library:
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("vonewman/urban-bus-wolof")
# Access an example from the 'train' split
print(dataset['train'][0])
# Expected output:
# {
# 'audio': {
# 'path': '.../train/audio/<audio_file>.mp3',
# 'array': array([...]),
# 'sampling_rate': 16000
# },
# 'sentence': 'Transcription of the audio in Wolof'
# }
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