DatasetDict({
train: Dataset({
features: ['speaker_id', 'sentence', 'audio', 'label', 'gender', 'tts'],
num_rows: 11130
})
validation: Dataset({
features: ['speaker_id', 'sentence', 'audio', 'label', 'gender', 'tts'],
num_rows: 3181
})
test: Dataset({
features: ['speaker_id', 'sentence', 'audio', 'label', 'gender', 'tts'],
num_rows: 1591
})… See the full description on the dataset page:
https://huggingface.co/datasets/elsayedissa/AFAD-MSA.