num_speakers
int32 2
4
| utter
list | audio
sequence |
|---|---|---|
3 | [{"end":379300,"file_id":"00000","rate":22050,"sentence":"перший не могла Дан пев(...TRUNCATED) | [0.011286417643229166,0.0187835693359375,0.018290201822916668,0.00872802734375,-0.002375284830729166(...TRUNCATED) |
3 | [{"end":400397,"file_id":"00004","rate":22050,"sentence":"Вона крутилась, крутил(...TRUNCATED) | [0.00244903564453125,0.002170562744140625,0.001956939697265625,0.001728057861328125,0.00156021118164(...TRUNCATED) |
3 | [{"end":260427,"file_id":"00001","rate":22050,"sentence":"я спекулянт приємно ко(...TRUNCATED) | [-0.0002124309539794922,-0.00025719404220581055,-0.000347594420115153,-0.00036964813868204754,-0.000(...TRUNCATED) |
4 | [{"end":225265,"file_id":"00000","rate":22050,"sentence":"Ну ладно прощі хотя на (...TRUNCATED) | [-0.0009104410807291666,-0.0010477701822916667,-0.0008799235026041666,-0.0004475911458333333,-0.0003(...TRUNCATED) |
3 | [{"end":372316,"file_id":"00004","rate":22050,"sentence":"Серед двору бризкали ф(...TRUNCATED) | [-0.0032704671223958335,-0.0023447672526041665,-0.0015411376953125,-0.0008138020833333334,-0.0001932(...TRUNCATED) |
3 | [{"end":268953,"file_id":"00002","rate":22050,"sentence":"5932449, 7438840, 8315287.","start":61463}(...TRUNCATED) | [0.0011545817057291667,0.0010019938151041667,0.0012563069661458333,0.0018564860026041667,0.002212524(...TRUNCATED) |
3 | [{"end":493486,"file_id":"00001","rate":22050,"sentence":"вже вечір і в мені суте(...TRUNCATED) | [0.000629425048828125,0.00070953369140625,0.000583648681640625,0.000308990478515625,0.00034713745117(...TRUNCATED) |
2 | [{"end":222743,"file_id":"00000","rate":22050,"sentence":"виконанні виконання Ан(...TRUNCATED) | [0.004215240478515625,0.003936767578125,0.00386810302734375,0.003936767578125,0.004062652587890625,0(...TRUNCATED) |
4 | [{"end":426398,"file_id":"00000","rate":22050,"sentence":"політики Якось у нього (...TRUNCATED) | [0.00027292966842651367,0.00016489624977111816,0.00018781423568725586,0.00034627318382263184,0.00061(...TRUNCATED) |
2 | [{"end":432618,"file_id":"00001","rate":22050,"sentence":"як палець який же я люб(...TRUNCATED) | [-0.006860017776489258,-0.002061992883682251,-0.0013662278652191162,-0.003169625997543335,-0.0039254(...TRUNCATED) |
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
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