https://github.com/egorsmkv/cv10-uk-testset-clean
The cleaned Common Voice 10 (test set) that has been checked by a human for Ukrainian 🇺🇦
https://github.com/egorsmkv/cv10-uk-testset-clean
asr automatic-speech-recognition speech speech-recognition speech-to-text ukrainian
Last synced: 8 months ago
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The cleaned Common Voice 10 (test set) that has been checked by a human for Ukrainian 🇺🇦
- Host: GitHub
- URL: https://github.com/egorsmkv/cv10-uk-testset-clean
- Owner: egorsmkv
- Created: 2022-09-26T12:31:37.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2025-02-20T14:09:54.000Z (9 months ago)
- Last Synced: 2025-02-20T14:38:20.453Z (9 months ago)
- Topics: asr, automatic-speech-recognition, speech, speech-recognition, speech-to-text, ukrainian
- Homepage:
- Size: 389 KB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Citation: CITATION.cff
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README
# The cleaned Common Voice 10 (test set) that has been checked by a human for Ukrainian 🇺🇦
## Overview
This repository contains the archive of [CV10 (test set)][1] with checked Ukrainian transcriptions and audios. All audios have been checked by a human to be sure that they are correct.
This archive is used to test all ASR models listed here: https://github.com/egorsmkv/speech-recognition-uk
## Hugging Face dataset
- URL: https://huggingface.co/datasets/Yehor/cv10-uk-testset-clean
### Usage
Example with `datasets`:
```python
from datasets import load_dataset
ds = load_dataset('Yehor/cv10-uk-testset-clean')
print(ds)
for row in ds['train']:
audio = row["audio"]
sampling_rate = audio["sampling_rate"]
audio_bytes = audio["array"]
filename = audio["path"]
print(len(audio_bytes), sampling_rate, filename)
print(row["duration"], row["transcription"])
print('---')
```
Example with `polars`: https://colab.research.google.com/drive/1upeXw3WbLjK37b1LetpM0HxFXDdOZqSK?usp=sharing
## Google Colabs
Use the following colabs to see how you can download this dataset in Python:
`datasets`:
- https://colab.research.google.com/drive/1qqnr5-WkaJi8iqHa_Pmlx7PbbXwXiimD?usp=sharing
`polars`:
- https://colab.research.google.com/drive/1upeXw3WbLjK37b1LetpM0HxFXDdOZqSK?usp=sharing
## Statistics
## Duration statistics
Duration: 4.6 hours
| Metrics | Value |
| ------ | ------ |
| mean | 5.201474 |
| std | 1.764957 |
| min | 1.704 |
| 25% | 3.816 |
| 50% | 4.896 |
| 75% | 6.384 |
| max | 10.536 |
## Download from GitHub
We recommend to use Hugging Face dataset, but in case you need raw dataset, use:
- Audio data: https://github.com/egorsmkv/cv10-uk-testset-clean/releases/download/v1.1/filtered-cv10-test.zip
- Labels list (TAB format) with absolute paths: https://github.com/egorsmkv/cv10-uk-testset-clean/blob/main/labels_absolute.lst
- Labels list (CSV format) with absolute paths: https://github.com/egorsmkv/cv10-uk-testset-clean/blob/main/labels_absolute.csv
- Labels list (CSV format) with relative paths: https://github.com/egorsmkv/cv10-uk-testset-clean/blob/main/labels_relative.csv
[1]: https://huggingface.co/datasets/mozilla-foundation/common_voice_10_0