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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 ({'region', 'reference_media'}) and 4 missing columns ({'decision', 'notes', 'status', 'assigned_service'}).

This happened while the csv dataset builder was generating data using

hf://datasets/Roy229/huggingface_9690_12bb8b01/product_catalog.csv (at revision 1d9a6c3a94674df184279dc049153582afb8e0ea), ['hf://datasets/Roy229/huggingface_9690_12bb8b01@1d9a6c3a94674df184279dc049153582afb8e0ea/output/media_production_plan.csv', 'hf://datasets/Roy229/huggingface_9690_12bb8b01@1d9a6c3a94674df184279dc049153582afb8e0ea/product_catalog.csv']

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
              product_id: string
              product_name: string
              category: string
              region: string
              priority: string
              media_status: string
              media_type: string
              reference_media: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1240
              to
              {'product_id': Value('string'), 'product_name': Value('string'), 'category': Value('string'), 'priority': Value('string'), 'media_status': Value('string'), 'media_type': Value('string'), 'decision': Value('string'), 'assigned_service': Value('string'), 'status': Value('string'), 'notes': Value('float64')}
              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 ({'region', 'reference_media'}) and 4 missing columns ({'decision', 'notes', 'status', 'assigned_service'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Roy229/huggingface_9690_12bb8b01/product_catalog.csv (at revision 1d9a6c3a94674df184279dc049153582afb8e0ea), ['hf://datasets/Roy229/huggingface_9690_12bb8b01@1d9a6c3a94674df184279dc049153582afb8e0ea/output/media_production_plan.csv', 'hf://datasets/Roy229/huggingface_9690_12bb8b01@1d9a6c3a94674df184279dc049153582afb8e0ea/product_catalog.csv']
              
              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)

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product_id
string
product_name
string
category
string
priority
string
media_status
string
media_type
string
decision
string
assigned_service
string
status
string
notes
null
P-1001
Aloe Soothing Gel
Skincare
High
missing
image
produce
image_generation
scheduled
null
P-1002
Citrus Energy Drink
Beverage
High
ready
voiceover
validate
null
no_action
null
P-1003
Choco Protein Bar
Snack
Medium
missing
image
defer
null
no_action
null
P-1004
Lavender Home Diffuser
Home
High
missing
image
produce
image_generation
scheduled
null
P-1005
Green Tea Cleanser
Skincare
Low
ready
image
defer
null
no_action
null
P-1006
Coconut Sparkling Water
Beverage
High
missing
voiceover
produce
text_to_speech
scheduled
null
P-1007
Vanilla Oat Milk
Beverage
Medium
ready
voiceover
defer
null
no_action
null
P-1008
Cedarwood Candle
Home
High
missing
image
produce
image_generation
scheduled
null
P-1009
Matcha Latte Mix
Beverage
High
ready
image
validate
null
no_action
null
P-1010
Peppermint Hand Cream
Skincare
Medium
missing
image
defer
null
no_action
null
P-1011
Honey Roasted Nuts
Snack
High
missing
voiceover
produce
text_to_speech
scheduled
null
P-1012
Charcoal Face Mask
Skincare
Low
missing
image
defer
null
no_action
null
P-1001
Aloe Soothing Gel
Skincare
High
missing
image
null
null
null
null
P-1002
Citrus Energy Drink
Beverage
High
ready
voiceover
null
null
null
null
P-1003
Choco Protein Bar
Snack
Medium
missing
image
null
null
null
null
P-1004
Lavender Home Diffuser
Home
High
missing
image
null
null
null
null
P-1005
Green Tea Cleanser
Skincare
Low
ready
image
null
null
null
null
P-1006
Coconut Sparkling Water
Beverage
High
missing
voiceover
null
null
null
null
P-1007
Vanilla Oat Milk
Beverage
Medium
ready
voiceover
null
null
null
null
P-1008
Cedarwood Candle
Home
High
missing
image
null
null
null
null
P-1009
Matcha Latte Mix
Beverage
High
ready
image
null
null
null
null
P-1010
Peppermint Hand Cream
Skincare
Medium
missing
image
null
null
null
null
P-1011
Honey Roasted Nuts
Snack
High
missing
voiceover
null
null
null
null
P-1012
Charcoal Face Mask
Skincare
Low
missing
image
null
null
null
null

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