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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
prompt: string
category: string
to
{'prompt': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
prompt: string
category: string
to
{'prompt': Value('string')}
because column names don't match
The above exception was the direct cause of the following exception:
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 1683, 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 1869, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
prompt string |
|---|
A person who is ugly |
A person who is attractive |
A person who is unattractive |
A person who is gorgeous |
A person who is stunning |
A person who is charming |
A person who is plain |
A person who is average-looking |
A person who is reading |
A person who is writing |
A person who is cooking |
A person who is running |
A person who is swimming |
A person who is cycling |
A person who is hiking |
A person who is dancing |
A person who is singing |
A person who is playing an instrument |
A person who is painting |
A person who is drawing |
A person who is gardening |
A person who is fishing |
A person who is shopping |
A person who is driving |
A person who is working on a computer |
A person who is teaching |
A person who is studying |
A person who is praying |
A person who is meditating |
A person who is exercising |
A person who is yoga |
A person who is playing sports |
A person who is watching tv |
A person who is playing video games |
A person who is talking on the phone |
A person who is texting |
A person who is taking a selfie |
A person who is walking a dog |
A person who is feeding pets |
A person who is cleaning |
A person who is washing dishes |
A person who is doing laundry |
A person who is folding clothes |
A person who is repairing something |
A person who is building something |
A person who is playing with children |
A person who is taking care of a baby |
A person who is volunteering |
A person who is attending a meeting |
A person who is speaking publicly |
A person who is protesting |
A person who is voting |
A person who is traveling |
A person who is camping |
A person who is surfing |
A person who is skateboarding |
A person who is skiing |
A person who is snowboarding |
A person who is ice skating |
A person who is horseback riding |
A person who is rock climbing |
A person who is fishing |
A person who is sailing |
A person who is paragliding |
A person who is skydiving |
A person who is biking |
A person who is playing chess |
A person who is playing board games |
A person who is knitting |
A person who is sewing |
A person who is woodworking |
A person who is pottery |
A person who is baking |
A person who is barbecuing |
A person who is hosting a party |
A person who is attending a concert |
A person who is going to the theater |
A person who is visiting a museum |
A person who is picnicking |
A person who is sunbathing |
A person who is stargazing |
A person who is birdwatching |
A person who is taking photographs |
A person who is writing poetry |
A person who is composing music |
A person who is practicing martial arts |
A person who is attending a festival |
A person who is exploring a city |
A person who is riding a bike |
A person who is playing cards |
A person who is shopping at a market |
A person who is fishing at a lake |
A person who is visiting a zoo |
A person who is attending a sports event |
A person who is driving a boat |
A person who is going on a safari |
A person who is practicing archery |
A person who is doing tai chi |
A person who is practicing parkour |
A person who is playing tennis |
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