Golos - Russian ASR dataset

Note: This is at the moment only a sample of the whole dataset:

train/test/crowd/0
train/test/crowd/1
test
*.jsonl

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General Information

Golos is a Russian corpus suitable for speech research. The dataset mainly consists of recorded audio files manually annotated on the crowd-sourcing platform. The total duration of the audio is about 1240 hours.

For more overview see the research article. For a detailed account and acoustic models please consult the original github repository.

Folder structure

.
├── test
│   ├── crowd
│   │   └── files
│   └── farfield
│       └── files
└── train
    ├── crowd
    │   ├── 0
    │   ├── 1   (not uploaded yet)
    │   ├── 2   (not uploaded yet)
    │   ├── 3   (not uploaded yet)
    │   ├── 4   (not uploaded yet)
    │   ├── 5   (not uploaded yet)
    │   ├── 6   (not uploaded yet)
    │   ├── 7   (not uploaded yet)
    │   ├── 8   (not uploaded yet)
    │   └── 9   (not uploaded yet)
    └── farfield
    ├──── 1hour.jsonl
    ├──── 10hours.jsonl
    ├──── 10min.jsonl
    ├──── 100hours.jsonl
    ├──── manifest.jsonl

Full Dataset structure

Domain	Train files	Train hours	Test files	Test hours
Crowd	979 796	1 095	9 994	11.2
Farfield	124 003	132.4	1 916	1.4
Total	1 103 799	1 227.4	11 910	12.6

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License

This work is licensed under a variant of Creative Commons Attribution-ShareAlike 4.0 International License.

Please see the specific license.

Authors and Credits

Alexander Denisenko
Angelina Kovalenko
Fedor Minkin
Nikolay Karpov

You can cite the data using the following BibTeX entry:

@article{karpov2021golos, title={Golos: Russian Dataset for Speech Research}, author={Karpov, Nikolay and Denisenko, Alexander and Minkin, Fedor}, journal={arXiv preprint arXiv:2106.10161}, year={2021} }