metadata
tags:
- audio
configs:
- config_name: test
data_files: data/test.parquet
- config_name: small_test
data_files: data/small_test.parquet
About dataset
It is a dataset of multispeaker speech with noise
each sample is at most 30 seconds
Loading script
>>> data_files = {"train": "data/<your_subset>.parquet"}
>>> data = load_dataset("Zarakun/speakers_ua_test", data_files=data_files)
>>> data
DatasetDict({
test: Dataset({
features: ['num_speakers', 'utter', 'audio'],
num_rows: <some_number>
})
})
Dataset structure
Every example has the following:
num_speakers - the number of speakers
utter - list of utterences data
audio - the waveform of the audio
Each entry in the utter is a dict and has the following structure:
start - the starting position in audio of the speaker audio
end - the ending position in audio of the speaker audio
file_id - the identificator of the speaker
sentence - the transcription
rate - has to be the same across all examples in the dataset, if not something bad happened