Datasets:

chiapudding

/

kaggle-customer-service

like 1

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 17 new columns ({'First Response Time', 'Ticket Description', 'Customer Satisfaction Rating', 'Time to Resolution', 'Customer Age', 'Customer Email', 'Ticket Channel', 'Customer Name', 'Ticket Type', 'Customer Gender', 'Ticket Status', 'Resolution', 'Ticket Subject', 'Ticket Priority', 'Ticket ID', 'Date of Purchase', 'Product Purchased'}) and 2 missing columns ({'query', 'response'}).

This happened while the csv dataset builder was generating data using

hf://datasets/chiapudding/kaggle-customer-service/customer_support_tickets.csv (at revision 9f55e1e5af60f7953c9f1186e1c26d8f3f5dcde7)

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
              Ticket ID: int64
              Customer Name: string
              Customer Email: string
              Customer Age: int64
              Customer Gender: string
              Product Purchased: string
              Date of Purchase: string
              Ticket Type: string
              Ticket Subject: string
              Ticket Description: string
              Ticket Status: string
              Resolution: string
              Ticket Priority: string
              Ticket Channel: string
              First Response Time: string
              Time to Resolution: string
              Customer Satisfaction Rating: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2469
              to
              {'query': Value(dtype='string', id=None), 'response': 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 17 new columns ({'First Response Time', 'Ticket Description', 'Customer Satisfaction Rating', 'Time to Resolution', 'Customer Age', 'Customer Email', 'Ticket Channel', 'Customer Name', 'Ticket Type', 'Customer Gender', 'Ticket Status', 'Resolution', 'Ticket Subject', 'Ticket Priority', 'Ticket ID', 'Date of Purchase', 'Product Purchased'}) and 2 missing columns ({'query', 'response'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/chiapudding/kaggle-customer-service/customer_support_tickets.csv (at revision 9f55e1e5af60f7953c9f1186e1c26d8f3f5dcde7)
              
              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)