vonewman/wolof-audio-data

Wolof Audio Dataset

The Wolof Audio Dataset is a collection of audio recordings and their corresponding transcriptions in Wolof. This dataset is designed to support the development of Automatic Speech Recognition (ASR) models for the Wolof language. It was created by combining three existing datasets:

• ALFFA: Available at serge-wilson/wolof_speech_transcription
• FLEURS: Available at vonewman/wo_fleurs_audio_transcription
• Urban Bus Wolof Speech Dataset: Available at vonewman/urban-bus-wolof

Features

• audio: An audio file containing speech in Wolof.
  • Format: Varies (e.g., WAV, MP3)
  • Sampling Rate: 16 kHz
• sentence: The textual transcription of the audio in Wolof.
• source: The origin of the example, either 'alffa', 'fleurs', or 'urban_bus'.

Dataset Structure

Splits

The dataset is divided into two splits:

Split	Number of Examples
Train	20,224
Test	4,122

Usage Example

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/wolof-audio-data")

# Access an example from the 'train' split
print(dataset['train'][0])

# Expected output:
# {
#   'audio': {
#     'path': '.../train/audio/<audio_file>',
#     'array': array([...]),
#     'sampling_rate': 16000
#   },
#   'sentence': 'Transcription of the audio in Wolof',
#   'source': 'alffa'  # or 'fleurs' or 'urban_bus'
# }