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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 ({'certified secondary school leaver', 'abituriento'}) and 2 missing columns ({'-aĉ-', '<i>(disparagement)</i>'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Infinitestarcode/esperanto/vortlisto/csv/education_and_career-advanced.csv (at revision f7c12cbaab40e4f7a58116dd275e2779a42164b1)
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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
abituriento: string
certified secondary school leaver: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 548
to
{'-aĉ-': Value(dtype='string', id=None), '<i>(disparagement)</i>': Value(dtype='string', id=None)}
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 1321, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 935, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
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 ({'certified secondary school leaver', 'abituriento'}) and 2 missing columns ({'-aĉ-', '<i>(disparagement)</i>'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Infinitestarcode/esperanto/vortlisto/csv/education_and_career-advanced.csv (at revision f7c12cbaab40e4f7a58116dd275e2779a42164b1)
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? Open a discussion for direct support.
-aĉ-
string | <i>(disparagement)</i>
string |
|---|---|
-ad- | <i>(ongoing or habitual action)</i> |
-aĵ- | <i>(concrete manifestation)</i> |
-an- | <i>(member of group)</i> |
-ar- | <i>(collective, group)</i> |
bo- | <i>(in-law)</i> |
-ĉj- | <i>(male pet name)</i> |
dis- | <i>(apart; separation)</i> |
-ebl- | <i>(possibility)</i> |
-ec- | <i>(abstract name of quality)</i> |
-eg- | <i>(augmentative)</i> |
-ej- | <i>(place)</i> |
ek- | <i>(beginning; sudden)</i> |
eks- | <i>(former)</i> |
-em- | <i>(disposition, tendency)</i> |
-end- | <i>(passive obligation)</i> |
-er- | <i>(small particle of whole)</i> |
-estr- | <i>(leader, head)</i> |
-et- | <i>(diminutive)</i> |
fi- | <i>(shameful; disgusting)</i> |
-foj- | <i>(frequency; n-times)</i> |
ge- | <i>(both sexes together)</i> |
-id- | <i>(offspring)</i> |
-iĝ- | <i>(become, get)</i> |
-ig- | <i>(causative; make, render)</i> |
-il- | <i>(tool, implement, means)</i> |
-in- | <i>(female)</i> |
-ind- | <i>(worthiness)</i> |
-ing- | <i>(socket, holder)</i> |
-ism- | <i>(ism, theory, behaviour)</i> |
-ist- | <i>(habitual occupation)</i> |
mal- | <i>(opposite meaning)</i> |
mis- | <i>(mis-)</i> |
-nj- | <i>(female pet name)</i> |
-obl- | <i>(multiple; n-fold)</i> |
-on- | <i>(fraction; n-th)</i> |
-op- | <i>(collective; n-group)</i> |
pra- | <i>(remoteness in time)</i> |
re- | <i>(in return; again)</i> |
-uj- | <i>(container; country)</i> |
-ul- | <i>(person characterised by)</i> |
-um- | <i>(ambiguous relation)</i> |
null | null |
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End of preview.