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---
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 |