Datasets:
Dataset Viewer
Production_Quality
float64 6.25
8.05
| Production_Complexity
float64 1.45
2.69
| Content_Enjoyment
float64 3.3
6
| Content_Usefulness
float64 4.74
7.01
| audio
stringlengths 9
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|
End of preview. Expand
in Data Studio
Aesthetics of Open Text-to-Speech for 🇺🇦 Ukrainian dataset
Community
- Discord: https://bit.ly/discord-uds
- Speech Recognition: https://t.me/speech_recognition_uk
- Speech Synthesis: https://t.me/speech_synthesis_uk
What is it?
This dataset contains metrics for https://huggingface.co/datasets/Yehor/opentts-uk dataset retrieved by https://github.com/facebookresearch/audiobox-aesthetics
How metrics calculated?
You can find a audiobox_aesthetics_of_opentts_uk.ipynb file in the Files and versions tab here.
Metrics were calculated using Google Colab with L4 instance. It requires about 7-8 GB of GPU memory.
Cite this work
@misc {smoliakov_2025,
author = { {Smoliakov} },
title = { opentts-uk-aesthetics (Revision d0d2561) },
year = 2025,
url = { https://huggingface.co/datasets/Yehor/opentts-uk-aesthetics },
doi = { 10.57967/hf/4562 },
publisher = { Hugging Face }
}
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