task_categories:translation task_categories:text-classification task_categories:token-classification language:af language:am language:ar language:az language:be language:bn language:my language:ceb language:ce language:zh language:cs language:da language:nl language:dz language:en language:eo language:fa language:fi language:fr language:de language:el language:gu language:ha language:he language:hi language:hu language:is language:id language:tts language:it language:jam language:ja language:jv language:kk language:ko language:lb language:mk language:ml language:ms language:mt language:mr language:mn language:ne language:no language:ps language:pl language:pt language:pa language:ro language:ru language:sk language:es language:sw language:sv language:ta language:te language:th language:bo language:tr language:uk language:ur language:ug language:vi language:zu language:hy language:eu language:bg language:ca language:ny language:hr language:et language:gl language:ka language:km language:lo language:lv language:lt language:sr language:tl language:yo license:cc size_categories:1M<n<10M region:us ipa phonetic
---
language:
- af
- am
- ar
- az
- be
- bn
- my
- ceb
- ce
- zh
- cs
- da
- nl
- dz
- en
- eo
- fa
- fi
- fr
- de
- el
- gu
- ha
- he
- hi
- hu
- is
- id
- tts
- it
- jam
- ja
- jv
- kk
- ko
- lb
- mk
- ml
- ms
- mt
- mr
- mn
- ne
- 'no'
- ps
- pl
- pt
- pa
- ro
- ru
- sk
- es
- sw
- sv
- ta
- te
- th
- bo
- tr
- uk
- ur
- ug
- vi
- zu
- hy
- eu
- bg
- ca
- ny
- hr
- et
- gl
- ka
- km
- lo
- lv
- lt
- sr
- tl
- yo
tags:
- ipa
- phonetic
task_categories:
- translation
- text-classification
- token-classification
pretty_name: IPA Phonetic Dataset
size_categories:
- 1M<n<10M
license: cc
---
# Phonetic IPA Dataset for 85+ languages

**Download the dataset**: [https://github.com/neurlang/dataset]

**Use our model trained on the dataset**: [https://www.hashtron.cloud]


Licensing information:

* [MIT] Original data for the 15 languages taken from [https://github.com/rhasspy/gruut](gruut databases)
* [MIT] To this the data for the 31 languages were added [https://github.com/open-dict-data/ipa-dict/](ipa dict files)
* [CC0: Public Domain] Chinese/Mandarin-IPA language sentence pairs were generated:
  - from the chinese sentences taken from dataset [https://www.kaggle.com/datasets/concyclics/machine-translation-chinese-and-english](from kaggle)
  - based on the above dictionary and MISTRAL-nemo made IPA dictionary which was paired with chinese sentences to ipa sentences using string substitution.
* [Apache-2.0] Wikipron data were added for selected large languages [https://github.com/CUNY-CL/wikipron/tree/master/data/scrape/tsv](from wikipron data)
* [cc-by-nc-4.0] Tibetan taken from [https://huggingface.co/datasets/billingsmoore/tibetan-phonetic-transliteration-dataset](billingsmoore)
* [MIT/Apache2] Slovak language is mostly self made, I hereby dedicate it under MIT/Apache2
* [CC-BY-SA 3.0]: Text in Japanese corpus is licensed as follows. The text data were modified and pronunciation information is added. basic5000 is as follows:
  - wikipedia (https://ja.wikipedia.org/) CC-BY-SA 3.0
  - TANAKA corpus (http://www.edrdg.org/wiki/index.php/Tanaka_Corpus) CC-BY 2.0
  - JSUT (Japanese speech corpus of Saruwatari-lab., University of Tokyo) (https://sites.google.com/site/shinnosuketakamichi/publication/jsut). CC-BY-SA 4.0