|
--- |
|
license: cc-by-sa-3.0 |
|
license_name: cc-by-sa |
|
configs: |
|
- config_name: en |
|
data_files: en.json |
|
default: true |
|
- config_name: en-xl |
|
data_files: en-xl.json |
|
- config_name: ca |
|
data_files: ca.json |
|
- config_name: de |
|
data_files: de.json |
|
- config_name: es |
|
data_files: es.json |
|
- config_name: el |
|
data_files: el.json |
|
- config_name: fa |
|
data_files: fa.json |
|
- config_name: fi |
|
data_files: fi.json |
|
- config_name: fr |
|
data_files: fr.json |
|
- config_name: it |
|
data_files: it.json |
|
- config_name: pl |
|
data_files: pl.json |
|
- config_name: pt |
|
data_files: pt.json |
|
- config_name: ru |
|
data_files: ru.json |
|
- config_name: sv |
|
data_files: sv.json |
|
- config_name: uk |
|
data_files: uk.json |
|
- config_name: zh |
|
data_files: zh.json |
|
language: |
|
- en |
|
- ca |
|
- de |
|
- es |
|
- el |
|
- fa |
|
- fi |
|
- fr |
|
- it |
|
- pl |
|
- pt |
|
- ru |
|
- sv |
|
- uk |
|
- zh |
|
--- |
|
|
|
# Multilingual Phonemes 10K Alpha |
|
|
|
### By [mrfakename](https://twitter.com/realmrfakename) |
|
|
|
This dataset contains approximately 10,000 pairs of text and phonemes from each supported language. We support 15 languages in this dataset, so we have a total of ~150K pairs. This does not include the English-XL dataset, which includes another 100K unique rows. |
|
|
|
This dataset is for training **open source** models only. |
|
|
|
## Languages |
|
|
|
We support 15 languages, which means we have around 150,000 pairs of text and phonemes in multiple languages. This excludes the English-XL dataset, which has 100K unique (not included in any other split) additional phonemized pairs. |
|
|
|
* English (en) |
|
* English-XL (en-xl): ~100K phonemized pairs, English-only |
|
* Catalan (ca) |
|
* German (de) |
|
* Spanish (es) |
|
* Greek (el) |
|
* Persian (fa): Requested by [@Respair](https://huggingface.co/Respair) |
|
* Finnish (fi) |
|
* French (fr) |
|
* Italian (it) |
|
* Polish (pl) |
|
* Portuguese (pt) |
|
* Russian (ru) |
|
* Swedish (sw) |
|
* Ukrainian (uk) |
|
* Chinese (zh): Thank you to [@eugenepentland](https://huggingface.co/eugenepentland) for assistance in processing this text, as East-Asian languages are the most compute-intensive! |
|
|
|
## License + Credits |
|
|
|
This dataset is for training **open source** models only. |
|
|
|
Source data comes from [Wikipedia](https://huggingface.co/datasets/wikimedia/wikipedia) and is licensed under CC-BY-SA 3.0. This dataset is licensed under CC-BY-SA 3.0. |
|
|
|
## Processing |
|
|
|
We utilized the following process to preprocess the dataset: |
|
|
|
1. Download data from [Wikipedia](https://huggingface.co/datasets/wikimedia/wikipedia) by language, selecting only the first Parquet file and naming it with the language code |
|
2. Process using [Data Preprocessing Scripts (StyleTTS 2 Community members only)](https://huggingface.co/styletts2-community/data-preprocessing-scripts) and modify the code to work with the language |
|
3. Script: Clean the text |
|
4. Script: Remove ultra-short phrases |
|
5. Script: Phonemize |
|
6. Script: Save JSON |
|
7. Upload dataset |
|
|
|
## Note |
|
|
|
East-Asian languages are experimental. We do not distinguish between Traditional and Simplified Chinese. The dataset consists mainly of Simplified Chinese in the `zh` split. We recommend converting characters to Simplified Chinese during inference, using a library such as `hanziconv` or `chinese-converter`. |
