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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowNotImplementedError
Message: Cannot write struct type 'negative_values' with no child field to Parquet. Consider adding a dummy child field.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 712, in write_table
self._build_writer(inferred_schema=pa_table.schema)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 757, in _build_writer
self.pa_writer = pq.ParquetWriter(
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 1070, in __init__
self.writer = _parquet.ParquetWriter(
^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/_parquet.pyx", line 2363, in pyarrow._parquet.ParquetWriter.__cinit__
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'negative_values' with no child field to Parquet. Consider adding a dummy child field.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1847, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 731, in finalize
self._build_writer(self.schema)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 757, in _build_writer
self.pa_writer = pq.ParquetWriter(
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 1070, in __init__
self.writer = _parquet.ParquetWriter(
^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/_parquet.pyx", line 2363, in pyarrow._parquet.ParquetWriter.__cinit__
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'negative_values' with no child field to Parquet. Consider adding a dummy child field.
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 1339, 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 972, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1858, 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.
generated_at_utc string | shape_before list | columns dict | negative_values dict | gender_cleanup dict | missing_values dict | dtype_summary dict | shape_after list |
|---|---|---|---|---|---|---|---|
2025-12-28T06:36:14.177889Z | [
4128,
21
] | {
"Unnamed: 0": {
"dtype": "int64",
"n_unique": 4128,
"sample_unique_values": null
},
"CustomerID": {
"dtype": "int64",
"n_unique": 4128,
"sample_unique_values": null
},
"ProdTaken": {
"dtype": "int64",
"n_unique": 2,
"sample_unique_values": null
},
"Age": {
"dtype": "float64",
"n_unique": 44,
"sample_unique_values": null
},
"TypeofContact": {
"dtype": "object",
"n_unique": 2,
"sample_unique_values": [
"Self Enquiry",
"Company Invited"
]
},
"CityTier": {
"dtype": "int64",
"n_unique": 3,
"sample_unique_values": null
},
"DurationOfPitch": {
"dtype": "float64",
"n_unique": 33,
"sample_unique_values": null
},
"Occupation": {
"dtype": "object",
"n_unique": 4,
"sample_unique_values": [
"Salaried",
"Free Lancer",
"Small Business",
"Large Business"
]
},
"Gender": {
"dtype": "object",
"n_unique": 3,
"sample_unique_values": [
"Female",
"Male",
"Fe Male"
]
},
"NumberOfPersonVisiting": {
"dtype": "int64",
"n_unique": 5,
"sample_unique_values": null
},
"NumberOfFollowups": {
"dtype": "float64",
"n_unique": 6,
"sample_unique_values": null
},
"ProductPitched": {
"dtype": "object",
"n_unique": 5,
"sample_unique_values": [
"Deluxe",
"Basic",
"Standard",
"Super Deluxe",
"King"
]
},
"PreferredPropertyStar": {
"dtype": "float64",
"n_unique": 3,
"sample_unique_values": null
},
"MaritalStatus": {
"dtype": "object",
"n_unique": 4,
"sample_unique_values": [
"Single",
"Divorced",
"Married",
"Unmarried"
]
},
"NumberOfTrips": {
"dtype": "float64",
"n_unique": 12,
"sample_unique_values": null
},
"Passport": {
"dtype": "int64",
"n_unique": 2,
"sample_unique_values": null
},
"PitchSatisfactionScore": {
"dtype": "int64",
"n_unique": 5,
"sample_unique_values": null
},
"OwnCar": {
"dtype": "int64",
"n_unique": 2,
"sample_unique_values": null
},
"NumberOfChildrenVisiting": {
"dtype": "float64",
"n_unique": 4,
"sample_unique_values": null
},
"Designation": {
"dtype": "object",
"n_unique": 5,
"sample_unique_values": [
"Manager",
"Executive",
"Senior Manager",
"AVP",
"VP"
]
},
"MonthlyIncome": {
"dtype": "float64",
"n_unique": 2182,
"sample_unique_values": null
}
} | {} | {
"column": "Gender",
"value_counts_before": {
"male": 2463,
"female": 1510,
"fe male": 155
},
"value_counts_after": {
"male": 2463,
"female": 1665
}
} | {
"Unnamed: 0": 0,
"CustomerID": 0,
"ProdTaken": 0,
"Age": 0,
"TypeofContact": 0,
"CityTier": 0,
"DurationOfPitch": 0,
"Occupation": 0,
"Gender": 0,
"NumberOfPersonVisiting": 0,
"NumberOfFollowups": 0,
"ProductPitched": 0,
"PreferredPropertyStar": 0,
"MaritalStatus": 0,
"NumberOfTrips": 0,
"Passport": 0,
"PitchSatisfactionScore": 0,
"OwnCar": 0,
"NumberOfChildrenVisiting": 0,
"Designation": 0,
"MonthlyIncome": 0
} | {
"Unnamed: 0": "int64",
"CustomerID": "int64",
"ProdTaken": "int64",
"Age": "float64",
"TypeofContact": "object",
"CityTier": "int64",
"DurationOfPitch": "float64",
"Occupation": "object",
"Gender": "object",
"NumberOfPersonVisiting": "int64",
"NumberOfFollowups": "float64",
"ProductPitched": "object",
"PreferredPropertyStar": "float64",
"MaritalStatus": "object",
"NumberOfTrips": "float64",
"Passport": "int64",
"PitchSatisfactionScore": "int64",
"OwnCar": "int64",
"NumberOfChildrenVisiting": "float64",
"Designation": "object",
"MonthlyIncome": "float64"
} | [
4128,
21
] |
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