Datasets:

IVLLab

/

MultiDialog

like 10

This is really an excellent job. Thanks to the author for her/his efforts and contributions!

I have a small question,
We know there are 12 English participants, with varying genders, ages, and nationalities, How do I distinguish the speaker ID information in each file if I want to know which speaker saying? Is it utterance_id in the meta-datas.json? Maybe I missed something, hope to get your reply.

{
'file_name': 't_ffa55df6-114d-4b36-87a1-7af6b8b63d9b/t_ffa55df6-114d-4b36-87a1-7af6b8b63d9b_0k.wav'
'conv_id': 't_ffa55df6-114d-4b36-87a1-7af6b8b63d9b',
'utterance_id': 0,
'from': 'gpt',
'audio':
{
# in streaming mode 'path' will be 't_152ee99a-fec0-4d37-87a8-b1510a9dc7e5/t_152ee99a-fec0-4d37-87a8-b1510a9dc7e5_0i.wav'
'path': '/home/user/.cache/huggingface/datasets/downloads/extracted/cache_id/t_152ee99a-fec0-4d37-87a8-b1510a9dc7e5/t_152ee99a-fec0-4d37-87a8-b1510a9dc7e5_0i.wav,
'array': array([0.0005188 , 0.00085449, 0.00012207, ..., 0.00125122, 0.00076294, 0.00036621], dtype=float32),
'sampling_rate': 16000
},
'value': 'Are you a football fan?',
'emotion': 'Neutral',
'original_full_path': 'valid_freq/t_ffa55df6-114d-4b36-87a1-7af6b8b63d9b/t_ffa55df6-114d-4b36-87a1-7af6b8b63d9b_0k.wav'
}