---
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.

Only for training StyleTTS 2-related **open source** models.

## 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)
* Finnish (fi)
* French (fr)
* Italian (it)
* Polish (pl)
* Portuguese (pt)
* Russian (ru)
* Swedish (sw)
* Ukrainian (uk)
* Chinese (zh)

## License + Credits

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 and in beta. We do not distinguish between chinese traditional and simplified, the dataset consists mainly of simplified chinese. We recommend converting characters to simplified chinese during inference using a library such as `hanziconv` or `chinese-converter`.