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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 2 new columns ({'ˈbaʊt', "'bout"}) and 2 missing columns ({'nʊl', '0'}).
This happened while the csv dataset builder was generating data using
hf://datasets/crane-local-ai/g2p-lexicons/en_US/en_US.tsv (at revision bfd51698069a30e1b20bbf54479b55af50b4161d), ['hf://datasets/crane-local-ai/g2p-lexicons@bfd51698069a30e1b20bbf54479b55af50b4161d/de/de.tsv', 'hf://datasets/crane-local-ai/g2p-lexicons@bfd51698069a30e1b20bbf54479b55af50b4161d/en_US/en_US.tsv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
'bout: string
ˈbaʊt: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 521
to
{'0': Value('string'), 'nʊl': Value('string')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 2 new columns ({'ˈbaʊt', "'bout"}) and 2 missing columns ({'nʊl', '0'}).
This happened while the csv dataset builder was generating data using
hf://datasets/crane-local-ai/g2p-lexicons/en_US/en_US.tsv (at revision bfd51698069a30e1b20bbf54479b55af50b4161d), ['hf://datasets/crane-local-ai/g2p-lexicons@bfd51698069a30e1b20bbf54479b55af50b4161d/de/de.tsv', 'hf://datasets/crane-local-ai/g2p-lexicons@bfd51698069a30e1b20bbf54479b55af50b4161d/en_US/en_US.tsv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
0 string | nʊl string |
|---|---|
0,2-Liter-Flasche | nʊlkɔmat͡svaɪ̯ˈliːtɐˌflaʃə |
0,2-Liter-Flasche | nʊlkɔmat͡svaɪ̯ˈlɪtɐˌflaʃə |
0,2-Liter-Flaschen | nʊlkɔmat͡svaɪ̯ˈliːtɐˌflaʃn̩ |
0,2-Liter-Flaschen | nʊlkɔmat͡svaɪ̯ˈlɪtɐˌflaʃn̩ |
0,33-Liter-Flasche | nʊlkɔmadʁaɪ̯dʁaɪ̯ˈliːtɐˌflaʃə |
0,33-Liter-Flasche | nʊlkɔmadʁaɪ̯dʁaɪ̯ˈlɪtɐˌflaʃə |
0,33-Liter-Flaschen | nʊlkɔmadʁaɪ̯dʁaɪ̯ˈliːtɐˌflaʃn̩ |
0,33-Liter-Flaschen | nʊlkɔmadʁaɪ̯dʁaɪ̯ˈlɪtɐˌflaʃn̩ |
0,5-Liter-Flasche | nʊlkɔmafʏnfˈliːtɐˌflaʃə |
0,5-Liter-Flasche | nʊlkɔmafʏnfˈlɪtɐˌflaʃə |
0,5-Liter-Flaschen | nʊlkɔmafʏnfˈliːtɐˌflaʃn̩ |
0,5-Liter-Flaschen | nʊlkɔmafʏnfˈlɪtɐˌflaʃn̩ |
0,7-Liter-Flasche | nʊlkɔmaziːbn̩ˈliːtɐˌflaʃə |
0,7-Liter-Flasche | nʊlkɔmaziːbn̩ˈlɪtɐˌflaʃə |
0,7-Liter-Flaschen | nʊlkɔmaziːbn̩ˈliːtɐˌflaʃn̩ |
0,7-Liter-Flaschen | nʊlkɔmaziːbn̩ˈlɪtɐˌflaʃn̩ |
0,75-Liter-Flasche | nʊlkɔmaziːbn̩fʏnfˈliːtɐˌflaʃə |
0,75-Liter-Flasche | nʊlkɔmaziːbn̩fʏnfˈlɪtɐˌflaʃə |
0,75-Liter-Flaschen | nʊlkɔmaziːbn̩fʏnfˈliːtɐˌflaʃn̩ |
0,75-Liter-Flaschen | nʊlkɔmaziːbn̩fʏnfˈlɪtɐˌflaʃn̩ |
0190-Nummer | nʊlaɪ̯nhʊndɐtˈnɔɪ̯nt͡sɪkˌnʊmɐ |
0190-Nummer | nʊlaɪ̯nhʊndɐtˈnɔɪ̯nt͡sɪçˌnʊmɐ |
0190-Nummer | nʊlhʊndɐtˈnɔɪ̯nt͡sɪkˌnʊmɐ |
0190-Nummer | nʊlhʊndɐtˈnɔɪ̯nt͡sɪçˌnʊmɐ |
0190-Nummern | nʊlaɪ̯nhʊndɐtˈnɔɪ̯nt͡sɪkˌnʊmɐn |
0190-Nummern | nʊlaɪ̯nhʊndɐtˈnɔɪ̯nt͡sɪçˌnʊmɐn |
0190-Nummern | nʊlhʊndɐtˈnɔɪ̯nt͡sɪkˌnʊmɐn |
0190-Nummern | nʊlhʊndɐtˈnɔɪ̯nt͡sɪçˌnʊmɐn |
0190-Rufnummer | nʊlaɪ̯nhʊndɐtˈnɔɪ̯nt͡sɪkˌʁuːfˌnʊmɐ |
0190-Rufnummer | nʊlhʊndɐtˈnɔɪ̯nt͡sɪkˌʁuːfnʊmɐ |
0190-Rufnummer | nʊlhʊndɐtˈnɔɪ̯nt͡sɪçˌʁuːfnʊmɐ |
0190-Rufnummer | nʊlˈaɪ̯nhʊndɐtˈnɔɪ̯nt͡sɪçˌʁuːfˌnʊmɐ |
0190-Rufnummern | nʊlaɪ̯nhʊndɐtˈnɔɪ̯nt͡sɪkˌʁuːfˌnʊmɐn |
0190-Rufnummern | nʊlhʊndɐtˈnɔɪ̯nt͡sɪkˌʁuːfnʊmɐn |
0190-Rufnummern | nʊlhʊndɐtˈnɔɪ̯nt͡sɪçˌʁuːfnʊmɐn |
0190-Rufnummern | nʊlˈaɪ̯nhʊndɐtˈnɔɪ̯nt͡sɪçˌʁuːfˌnʊmɐn |
0190er-Nummer | nʊlaɪ̯nhʊndɐtˈnɔɪ̯nt͡sɪɡɐˌnʊmɐ |
0190er-Nummer | nʊlhʊndɐtˈnɔɪ̯nt͡sɪɡɐˌnʊmɐ |
0190er-Nummern | nʊlaɪ̯nhʊndɐtˈnɔɪ̯nt͡sɪɡɐˌnʊmɐn |
0190er-Nummern | nʊlhʊndɐtˈnɔɪ̯nt͡sɪɡɐˌnʊmɐn |
08/15 | nʊlʔaxtˈfʏnft͡seːn |
1 | aɪ̯ns |
1,2-Butadien | ˌaɪ̯nsˌt͡svaɪ̯ˌbutaˈdi̯eːn |
1,2-Butadiens | ˌaɪ̯nsˌt͡svaɪ̯ˌbutaˈdi̯eːns |
1,2-Propylenglycol | ˌaɪ̯nst͡svaɪ̯pʁopyleːnɡlyˈkoːl |
1,2-Propylenglycols | ˌaɪ̯nst͡svaɪ̯pʁopyleːnɡlyˈkoːls |
1,3-Butadien | ˌaɪ̯nsˌdʁaɪ̯ˌbutaˈdi̯eːn |
1,3-Butadiens | ˌaɪ̯nsˌdʁaɪ̯ˌbutaˈdi̯eːns |
1,3-Propandiol | aɪ̯nsdʁaɪ̯ˌpʁopandiˈoːl |
1,3-Propandiols | aɪ̯nsdʁaɪ̯ˌpʁopandiˈoːls |
1,5-Grad-Ziel | aɪ̯nskɔmafʏnfˈɡʁaːtˌt͡siːl |
1,5-Grad-Zieles | aɪ̯nskɔmafʏnfˈɡʁaːtˌt͡siːləs |
1,5-Grad-Ziels | aɪ̯nskɔmafʏnfɡʁaːtˌt͡siːls |
1,6-Liter-Benziner | ˈaɪ̯ns ˌkɔma ˈzɛks ˈliːtɐ ˌbɛnˈt͡siːnɐ |
1,6-Liter-Benziner | ˈaɪ̯ns ˌkɔma ˈzɛks ˈlɪtɐ ˌbɛnˈt͡siːnɐ |
1-Benzolethansäure | ˌaɪ̯nsbɛnt͡soːlʔeˈtaːnzɔɪ̯ʁə |
1-Butanol | ˌaɪ̯nsbutaˈnoːl |
1-Butanols | ˌaɪ̯nsbutaˈnoːls |
1-Cent-Münze | aɪ̯nˈsɛntˌmʏnt͡sə |
1-Cent-Münze | aɪ̯nˈt͡sɛntˌmʏnt͡sə |
1-Cent-Münzen | aɪ̯nˈsɛntˌmʏnt͡sn̩ |
1-Cent-Münzen | aɪ̯nˈt͡sɛntˌmʏnt͡sn̩ |
1-Cent-Stück | aɪ̯nˈsɛntˌʃtʏk |
1-Cent-Stück | aɪ̯nˈt͡sɛntˌʃtʏk |
1-Cent-Stücke | aɪ̯nˈsɛntˌʃtʏkə |
1-Cent-Stücke | aɪ̯nˈt͡sɛntˌʃtʏkə |
1-Cent-Stücken | aɪ̯nˈsɛntˌʃtʏkn̩ |
1-Cent-Stücken | aɪ̯nˈt͡sɛntˌʃtʏkn̩ |
1-Cent-Stückes | aɪ̯nˈsɛntˌʃtʏkəs |
1-Cent-Stückes | aɪ̯nˈt͡sɛntˌʃtʏkəs |
1-Cent-Stücks | aɪ̯nˈsɛntˌʃtʏks |
1-Cent-Stücks | aɪ̯nˈt͡sɛntˌʃtʏks |
1-Euro-Job | aɪ̯nˈʔɔɪ̯ʁod͡ʒɔp |
1-Euro-Jobber | ˌaɪ̯nˈʔɔɪ̯ʁoˌd͡ʒɔbɐ |
1-Euro-Jobbern | ˌaɪ̯nˈʔɔɪ̯ʁoˌd͡ʒɔbɐn |
1-Euro-Jobbers | ˌaɪ̯nˈʔɔɪ̯ʁoˌd͡ʒɔbɐs |
1-Euro-Jobs | aɪ̯nˈʔɔɪ̯ʁod͡ʒɔps |
1-Euro-Münze | aɪ̯nˈʔɔɪ̯ʁoˌmʏnt͡sə |
1-Euro-Münzen | aɪ̯nˈʔɔɪ̯ʁoˌmʏnt͡sn̩ |
1-Euro-Stück | aɪ̯nˈʔɔɪ̯ʁoˌʃtʏk |
1-Euro-Stücke | aɪ̯nˈʔɔɪ̯ʁoˌʃtʏkə |
1-Euro-Stücken | aɪ̯nˈʔɔɪ̯ʁoˌʃtʏkn̩ |
1-Euro-Stückes | aɪ̯nˈʔɔɪ̯ʁoˌʃtʏkəs |
1-Euro-Stücks | aɪ̯nˈʔɔɪ̯ʁoˌʃtʏks |
1-Hepten | ˌaɪ̯nshɛpˈteːn |
1-Heptens | ˌaɪ̯nshɛpˈteːns |
1-Hexanol | ˌaɪ̯nshɛksaˈnoːl |
1-Hexanols | ˌaɪ̯nshɛksaˈnoːls |
1-Meter-Brett | aɪ̯nˈmeːtɐˌbʁɛt |
1-Meter-Brette | aɪ̯nˈmeːtɐˌbʁɛtə |
1-Meter-Bretter | aɪ̯nˈmeːtɐˌbʁɛtɐ |
1-Meter-Brettern | aɪ̯nˈmeːtɐˌbʁɛtɐn |
1-Meter-Brettes | aɪ̯nˈmeːtɐˌbʁɛtəs |
1-Meter-Bretts | aɪ̯nˈmeːtɐˌbʁɛt͡s |
1-Pentanol | ˌaɪ̯nspɛntaˈnoːl |
1-Pentanols | ˌaɪ̯nspɛntaˈnoːls |
1-Propanol | ˌaɪ̯nspʁopaˈnoːl |
1-Propanols | ˌaɪ̯nspʁopaˈnoːls |
1-Raum-Wohnung | ˈaɪ̯nʁaʊ̯mˌvoːnʊŋ |
1-Raum-Wohnungen | ˈaɪ̯nʁaʊ̯mˌvoːnʊŋən |
End of preview.
Crane G2P Lexicons
Word-to-IPA lexicons used by Crane's
grapheme-to-phoneme (G2P) module to phonemize text for text-to-speech
models. Each <lang>/<lang>.tsv file is a plain word<TAB>ipa list, one
pronunciation per line (a word with multiple accepted pronunciations
appears on multiple lines). This is the format Lexicon::from_tsv in
crane-core/src/models/g2p/lexicon.rs
expects.
IPA here follows standard, linguistics-reference-style conventions (e.g.
stress marks ˈ/ˌ before the onset consonant cluster, multi-codepoint
affricates/diphthongs like t͡ʃ/aɪ), not any single TTS model's training
convention. Models that need a different convention (e.g. espeak-ng-style
phonemization) normalize this output themselves at inference time — see
crane-core/src/models/g2p/README.md in the Crane repository for details.
Contents
| Directory | File | Words | License | Source |
|---|---|---|---|---|
de/ |
de.tsv |
~900k lines | CC BY-SA 4.0 | German Wiktionary |
en_US/ |
en_US.tsv |
~135k lines | MIT | open-dict-data/ipa-dict |
Each directory has its own PROVENANCE.md with the full license text and
attribution for that language's data — licenses differ per file, so
check the relevant PROVENANCE.md before reusing a lexicon outside Crane.
de/de.tsv
Extracted directly from a German-language Wiktionary XML dump by
data/g2p/extract-de-wiktionary-ipa.py,
pulling the {{Lautschrift}} pronunciation template out of each German
({{Sprache|Deutsch}}) entry's {{Aussprache}} section. Licensed
CC BY-SA 4.0; attribution is to Wiktionary contributors. See
de/PROVENANCE.md.
en_US/en_US.tsv
Converted from open-dict-data/ipa-dict's en_US.txt by
data/g2p/ipa-dict-to-tsv.py,
expanding each /-delimited IPA alternative onto its own line. Licensed
MIT; based on a modified version of cmudict-ipa by @lingz, with stress
markers added via syllabify by @kylebgorman. See en_US/PROVENANCE.md.
Usage
from huggingface_hub import hf_hub_download
path = hf_hub_download(
repo_id="crane-local-ai/g2p-lexicons",
filename="de/de.tsv",
repo_type="dataset",
)
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