MAdel121/Continuation-egy-for-ultravox-v1

Speech Dataset with Continuations

This dataset contains speech audio files with their transcriptions and AI-generated continuations.

Dataset Description

• —Total samples: 121,783 samples
• —Audio format: WAV files at 16kHz sampling rate
• —Language: Arabic
• —Task: Speech-to-text with continuation generation

Dataset Splits

• —Train: 85,248 samples (70.0%)
• —Validation: 18,267 samples (15.0%)
• —Test: 18,268 samples (15.0%)

Dataset Structure

Each sample contains:

• —audio: Audio file (WAV format, 16kHz)
• —text: Original transcription text
• —continuation: AI-generated continuation of the text
• —duration: Audio duration in seconds
• —sampling_rate_hz: Audio sampling rate
• —audio_filename: Original audio filename

Usage

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("MAdel121/Continuation-egy-for-ultravox-v1")

# Access different splits
train_dataset = dataset['train']
val_dataset = dataset['validation']
test_dataset = dataset['test']

# Access audio and text from a sample
sample = train_dataset[0]
audio_array = sample['audio']['array']
transcription = sample['text']
continuation = sample['continuation']

Citation

Please cite this dataset if you use it in your research.