task_categories:text-to-speech language:uk license:cc-by-4.0 size_categories:10K<n<100K format:json modality:tabular modality:text modality:audio library:datasets library:pandas library:mlcroissant library:polars doi:10.57967/hf/4562 region:us audio
---
license: cc-by-4.0
language:
- uk
task_categories:
- text-to-speech
tags:
  - audio
configs:
  - config_name: kateryna
    data_files:
      - split: metrics
        path: voices/kateryna/metrics.jsonl
  - config_name: lada
    data_files:
      - split: metrics
        path: voices/lada/metrics.jsonl
  - config_name: mykyta
    data_files:
      - split: metrics
        path: voices/mykyta/metrics.jsonl
  - config_name: oleksa
    data_files:
      - split: metrics
        path: voices/oleksa/metrics.jsonl
  - config_name: tetiana
    data_files:
      - split: metrics
        path: voices/tetiana/metrics.jsonl
---

# Aesthetics of [Open Text-to-Speech for 🇺🇦 Ukrainian][1] 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 }
}
```

[1]: https://huggingface.co/datasets/Yehor/opentts-uk
