metadata
license: cc0-1.0
language:
- af
- am
- ar
- az
- be
- bg
- bn
- ca
- ceb
- cs
- cy
- da
- de
- el
- en
- eo
- es
- et
- eu
- fa
- fi
- fr
- ga
- gd
- gl
- gu
- ha
- he
- hi
- hr
- ht
- hu
- hy
- id
- ig
- is
- it
- ja
- jv
- ka
- kk
- kn
- ko
- ku
- ky
- la
- lb
- lo
- lt
- lv
- mk
- ml
- mn
- mr
- ms
- mt
- my
- nb
- ne
- nl
- ny
- oc
- pa
- pl
- pt
- ro
- ru
- rw
- si
- sk
- sl
- sn
- so
- sq
- sr
- sv
- sw
- ta
- te
- tg
- th
- tk
- tl
- tr
- uk
- ur
- uz
- vi
- xh
- yo
- zh
- zu
tags:
- tts
- text-to-speech
- evaluation
- multilingual
pretty_name: TTS Test Sentence
size_categories:
- n<1K
tts-test-sentence
One canonical TTS test sentence — the rainbow sentence — translated across languages and scripts, for quickly sanity-checking multilingual text-to-speech voices (does the voice produce intelligible speech in its language?).
English source: After the rain, a colorful rainbow appeared in the sky, and the children went outside to look at it.
Each row: lang (BCP-47), language (name), script (ISO-15924), text
(native translation), source_en. Some languages appear in multiple scripts
(e.g. Serbian: sr-Cyrl / sr-Latn).
from datasets import load_dataset
ds = load_dataset("OpenVoiceOS/tts-test-sentence", split="train")
Many translations are best-effort (some AI-authored); corrections and additional languages/scripts are very welcome. The ~1000 long-tail MMS languages (one voice each) are not yet covered.