The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
en: string
es: string
pt: string
fr: string
de: string
it: string
nl: string
ca: string
gl: string
eu: string
ro: string
pl: string
cs: string
sk: string
hu: string
hr: string
sl: string
sv: string
da: string
nb: string
fi: string
et: string
lv: string
lt: string
is: string
ga: string
cy: string
af: string
tr: string
sq: string
vi: string
id: string
ms: string
tl: string
sw: string
ru: string
uk: string
bg: string
sr-Cyrl: string
sr: string
sr-Latn: string
mk: string
be: string
el: string
he: string
ar: string
fa: string
ur: string
hi: string
bn: string
zh: string
ja: string
ko: string
th: string
am: string
ta: string
te: string
ml: string
kn: string
gu: string
mr: string
pa: string
ne: string
si: string
kk: string
az: string
uz: string
ky: string
mn: string
tg: string
tk: string
ka: string
hy: string
ha: string
yo: string
ig: string
zu: string
xh: string
so: string
sn: string
rw: string
ny: string
lo: string
my: string
jv: string
ceb: string
lb: string
oc: string
mt: string
gd: string
eo: string
la: string
ku: string
ht: string
language: string
lang: string
source_en: string
script: string
text: string
to
{'lang': Value('string'), 'language': Value('string'), 'script': Value('string'), 'text': Value('string'), 'source_en': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2815, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 310, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 130, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
en: string
es: string
pt: string
fr: string
de: string
it: string
nl: string
ca: string
gl: string
eu: string
ro: string
pl: string
cs: string
sk: string
hu: string
hr: string
sl: string
sv: string
da: string
nb: string
fi: string
et: string
lv: string
lt: string
is: string
ga: string
cy: string
af: string
tr: string
sq: string
vi: string
id: string
ms: string
tl: string
sw: string
ru: string
uk: string
bg: string
sr-Cyrl: string
sr: string
sr-Latn: string
mk: string
be: string
el: string
he: string
ar: string
fa: string
ur: string
hi: string
bn: string
zh: string
ja: string
ko: string
th: string
am: string
ta: string
te: string
ml: string
kn: string
gu: string
mr: string
pa: string
ne: string
si: string
kk: string
az: string
uz: string
ky: string
mn: string
tg: string
tk: string
ka: string
hy: string
ha: string
yo: string
ig: string
zu: string
xh: string
so: string
sn: string
rw: string
ny: string
lo: string
my: string
jv: string
ceb: string
lb: string
oc: string
mt: string
gd: string
eo: string
la: string
ku: string
ht: string
language: string
lang: string
source_en: string
script: string
text: string
to
{'lang': Value('string'), 'language': Value('string'), 'script': Value('string'), 'text': Value('string'), 'source_en': Value('string')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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.
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