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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 1 new columns ({'ProdTaken'})
This happened while the csv dataset builder was generating data using
hf://datasets/j4nusx/tourism/curated_prod_taken_full.csv (at revision 4ac289cc021b48066281dfb26da2fd88dcba09a2), ['hf://datasets/j4nusx/tourism@4ac289cc021b48066281dfb26da2fd88dcba09a2/Xtest.csv', 'hf://datasets/j4nusx/tourism@4ac289cc021b48066281dfb26da2fd88dcba09a2/Xtrain.csv', 'hf://datasets/j4nusx/tourism@4ac289cc021b48066281dfb26da2fd88dcba09a2/curated_prod_taken_full.csv', 'hf://datasets/j4nusx/tourism@4ac289cc021b48066281dfb26da2fd88dcba09a2/tourism.csv', 'hf://datasets/j4nusx/tourism@4ac289cc021b48066281dfb26da2fd88dcba09a2/ytest.csv', 'hf://datasets/j4nusx/tourism@4ac289cc021b48066281dfb26da2fd88dcba09a2/ytrain.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
Age: double
CityTier: int64
NumberOfPersonVisiting: int64
PreferredPropertyStar: double
NumberOfTrips: double
Passport: int64
PitchSatisfactionScore: int64
NumberOfFollowups: double
DurationOfPitch: double
TypeofContact_Self Enquiry: double
Occupation_Large Business: double
Gender_Male: double
MaritalStatus_Single: double
MaritalStatus_Unmarried: double
Designation_Executive: double
Designation_Senior Manager: double
ProdTaken: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2557
to
{'Age': Value('float64'), 'CityTier': Value('int64'), 'NumberOfPersonVisiting': Value('int64'), 'PreferredPropertyStar': Value('float64'), 'NumberOfTrips': Value('float64'), 'Passport': Value('int64'), 'PitchSatisfactionScore': Value('int64'), 'NumberOfFollowups': Value('float64'), 'DurationOfPitch': Value('float64'), 'TypeofContact_Self Enquiry': Value('float64'), 'Occupation_Large Business': Value('float64'), 'Gender_Male': Value('float64'), 'MaritalStatus_Single': Value('float64'), 'MaritalStatus_Unmarried': Value('float64'), 'Designation_Executive': Value('float64'), 'Designation_Senior Manager': 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 1 new columns ({'ProdTaken'})
This happened while the csv dataset builder was generating data using
hf://datasets/j4nusx/tourism/curated_prod_taken_full.csv (at revision 4ac289cc021b48066281dfb26da2fd88dcba09a2), ['hf://datasets/j4nusx/tourism@4ac289cc021b48066281dfb26da2fd88dcba09a2/Xtest.csv', 'hf://datasets/j4nusx/tourism@4ac289cc021b48066281dfb26da2fd88dcba09a2/Xtrain.csv', 'hf://datasets/j4nusx/tourism@4ac289cc021b48066281dfb26da2fd88dcba09a2/curated_prod_taken_full.csv', 'hf://datasets/j4nusx/tourism@4ac289cc021b48066281dfb26da2fd88dcba09a2/tourism.csv', 'hf://datasets/j4nusx/tourism@4ac289cc021b48066281dfb26da2fd88dcba09a2/ytest.csv', 'hf://datasets/j4nusx/tourism@4ac289cc021b48066281dfb26da2fd88dcba09a2/ytrain.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)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Age float64 | CityTier int64 | NumberOfPersonVisiting int64 | PreferredPropertyStar float64 | NumberOfTrips float64 | Passport int64 | PitchSatisfactionScore int64 | NumberOfFollowups float64 | DurationOfPitch float64 | TypeofContact_Self Enquiry float64 | Occupation_Large Business float64 | Gender_Male float64 | MaritalStatus_Single float64 | MaritalStatus_Unmarried float64 | Designation_Executive float64 | Designation_Senior Manager float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
44 | 1 | 3 | 3 | 2 | 1 | 4 | 1 | 8 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
35 | 3 | 3 | 3 | 3 | 0 | 1 | 4 | 20 | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
47 | 3 | 4 | 5 | 3 | 0 | 2 | 4 | 7 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
32 | 1 | 3 | 4 | 2 | 0 | 3 | 3 | 6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
59 | 1 | 3 | 3 | 6 | 0 | 2 | 4 | 9 | 1 | 1 | 1 | 1 | 0 | 1 | 0 |
44 | 3 | 2 | 4 | 1 | 0 | 5 | 3 | 11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
32 | 1 | 2 | 4 | 2 | 0 | 3 | 4 | 35 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
27 | 3 | 3 | 3 | 3 | 0 | 5 | 4 | 7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
38 | 3 | 2 | 3 | 4 | 0 | 5 | 4 | 8 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
32 | 1 | 3 | 3 | 2 | 1 | 4 | 4 | 12 | 1 | 1 | 1 | 0 | 0 | 1 | 0 |
40 | 1 | 3 | 3 | 2 | 0 | 3 | 3 | 30 | 1 | 1 | 1 | 0 | 0 | 0 | 0 |
38 | 1 | 3 | 3 | 3 | 0 | 1 | 4 | 20 | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
35 | 3 | 3 | 3 | 2 | 0 | 5 | 3 | 6 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
35 | 1 | 3 | 5 | 2 | 1 | 1 | 3 | 8 | 1 | 0 | 0 | 0 | 0 | 1 | 0 |
34 | 1 | 3 | 3 | 2 | 0 | 5 | 6 | 17 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
33 | 1 | 3 | 4 | 3 | 0 | 3 | 5 | 36 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
51 | 1 | 3 | 3 | 4 | 0 | 3 | 3 | 15 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
29 | 3 | 2 | 5 | 2 | 0 | 3 | 1 | 30 | 0 | 1 | 1 | 1 | 0 | 1 | 0 |
34 | 3 | 3 | 3 | 1 | 1 | 2 | 2 | 25 | 0 | 0 | 1 | 1 | 0 | 0 | 0 |
38 | 1 | 2 | 3 | 6 | 0 | 2 | 4 | 14 | 1 | 0 | 1 | 1 | 0 | 0 | 1 |
46 | 1 | 3 | 5 | 1 | 0 | 2 | 3 | 6 | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
54 | 2 | 2 | 4 | 3 | 0 | 3 | 3 | 25 | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
56 | 1 | 2 | 3 | 1 | 0 | 4 | 3 | 15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
30 | 1 | 2 | 3 | 19 | 1 | 4 | 3 | 10 | 0 | 1 | 1 | 1 | 0 | 1 | 0 |
26 | 1 | 3 | 5 | 1 | 0 | 5 | 3 | 6 | 1 | 0 | 1 | 1 | 0 | 1 | 0 |
33 | 1 | 2 | 3 | 1 | 0 | 4 | 3 | 13 | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
24 | 1 | 3 | 4 | 2 | 0 | 3 | 4 | 23 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
30 | 1 | 4 | 3 | 2 | 0 | 5 | 6 | 36 | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
33 | 3 | 3 | 4 | 1 | 0 | 1 | 3 | 8 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
53 | 3 | 2 | 4 | 3 | 0 | 1 | 4 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
29 | 3 | 3 | 5 | 2 | 0 | 3 | 4 | 14 | 0 | 0 | 1 | 0 | 1 | 0 | 0 |
39 | 1 | 2 | 5 | 2 | 0 | 4 | 3 | 15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
46 | 3 | 4 | 4 | 2 | 0 | 5 | 4 | 9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
35 | 1 | 3 | 4 | 2 | 0 | 3 | 4 | 14 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
35 | 3 | 4 | 3 | 8 | 0 | 5 | 4 | 9 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
33 | 1 | 4 | 4 | 8 | 0 | 3 | 5 | 7 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
29 | 1 | 2 | 3 | 2 | 0 | 4 | 4 | 16 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
41 | 3 | 2 | 3 | 1 | 0 | 1 | 3 | 16 | 0 | 0 | 1 | 1 | 0 | 0 | 0 |
43 | 1 | 3 | 3 | 6 | 0 | 3 | 6 | 36 | 1 | 0 | 1 | 0 | 1 | 0 | 0 |
35 | 3 | 3 | 3 | 2 | 0 | 4 | 6 | 13 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
41 | 3 | 3 | 3 | 4 | 1 | 1 | 3 | 12 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
33 | 1 | 2 | 3 | 1 | 0 | 4 | 4 | 6 | 1 | 0 | 0 | 0 | 1 | 0 | 0 |
40 | 1 | 2 | 3 | 1 | 0 | 4 | 3 | 15 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
26 | 1 | 3 | 5 | 1 | 0 | 3 | 3 | 9 | 0 | 1 | 1 | 1 | 0 | 1 | 0 |
41 | 1 | 2 | 5 | 3 | 0 | 1 | 3 | 25 | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
37 | 1 | 2 | 3 | 2 | 1 | 3 | 3 | 17 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
31 | 3 | 2 | 3 | 4 | 0 | 4 | 4 | 13 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
45 | 3 | 3 | 4 | 8 | 0 | 3 | 6 | 8 | 1 | 0 | 1 | 1 | 0 | 0 | 0 |
33 | 1 | 3 | 5 | 2 | 1 | 5 | 3 | 9 | 0 | 0 | 1 | 1 | 0 | 1 | 0 |
33 | 1 | 4 | 4 | 3 | 0 | 4 | 4 | 9 | 1 | 0 | 0 | 0 | 0 | 1 | 0 |
33 | 1 | 3 | 3 | 3 | 1 | 3 | 3 | 14 | 1 | 0 | 1 | 0 | 1 | 0 | 0 |
30 | 3 | 2 | 3 | 1 | 0 | 2 | 3 | 18 | 1 | 1 | 0 | 0 | 1 | 0 | 0 |
42 | 1 | 2 | 3 | 7 | 1 | 3 | 2 | 25 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
46 | 1 | 2 | 3 | 7 | 0 | 5 | 3 | 8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
51 | 1 | 4 | 3 | 6 | 0 | 5 | 4 | 16 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
30 | 1 | 2 | 3 | 3 | 0 | 1 | 5 | 8 | 1 | 0 | 0 | 1 | 0 | 0 | 0 |
37 | 1 | 3 | 3 | 6 | 0 | 5 | 3 | 25 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
28 | 2 | 2 | 3 | 2 | 0 | 4 | 3 | 6 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
42 | 1 | 2 | 5 | 1 | 0 | 3 | 3 | 12 | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
44 | 1 | 2 | 4 | 1 | 0 | 2 | 3 | 10 | 1 | 0 | 1 | 1 | 0 | 0 | 0 |
39 | 1 | 3 | 4 | 3 | 0 | 1 | 5 | 9 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
42 | 1 | 2 | 5 | 4 | 1 | 2 | 2 | 23 | 1 | 0 | 0 | 0 | 1 | 0 | 0 |
39 | 1 | 2 | 5 | 2 | 1 | 5 | 3 | 28 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
28 | 1 | 2 | 3 | 1 | 0 | 3 | 5 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
43 | 1 | 3 | 5 | 7 | 0 | 5 | 3 | 20 | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
45 | 1 | 4 | 3 | 3 | 0 | 3 | 4 | 22 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
53 | 1 | 4 | 5 | 5 | 1 | 4 | 4 | 13 | 1 | 1 | 1 | 0 | 0 | 0 | 0 |
42 | 1 | 4 | 5 | 4 | 0 | 1 | 4 | 16 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
36 | 1 | 3 | 3 | 7 | 0 | 3 | 3 | 33 | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
22 | 1 | 4 | 4 | 3 | 1 | 5 | 5 | 7 | 1 | 1 | 0 | 1 | 0 | 1 | 0 |
37 | 1 | 4 | 4 | 2 | 0 | 2 | 4 | 12 | 1 | 0 | 1 | 0 | 1 | 0 | 0 |
30 | 3 | 3 | 4 | 7 | 0 | 3 | 4 | 20 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
36 | 1 | 4 | 5 | 4 | 1 | 5 | 5 | 18 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
40 | 1 | 2 | 3 | 2 | 0 | 5 | 3 | 10 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
51 | 1 | 2 | 3 | 3 | 0 | 2 | 5 | 14 | 0 | 0 | 1 | 0 | 1 | 0 | 1 |
39 | 3 | 3 | 5 | 6 | 0 | 3 | 5 | 7 | 1 | 0 | 1 | 0 | 1 | 1 | 0 |
43 | 1 | 2 | 4 | 2 | 0 | 3 | 4 | 18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
35 | 1 | 3 | 3 | 2 | 0 | 4 | 3 | 10 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
40 | 1 | 4 | 3 | 2 | 0 | 2 | 4 | 9 | 0 | 1 | 0 | 1 | 0 | 0 | 1 |
27 | 3 | 3 | 3 | 3 | 0 | 1 | 4 | 17 | 1 | 0 | 1 | 0 | 1 | 0 | 0 |
26 | 1 | 2 | 5 | 7 | 1 | 5 | 3 | 8 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
43 | 3 | 3 | 3 | 2 | 1 | 2 | 3 | 32 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
32 | 1 | 4 | 5 | 3 | 1 | 2 | 4 | 18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 |
35 | 1 | 3 | 5 | 4 | 0 | 2 | 5 | 12 | 1 | 0 | 0 | 1 | 0 | 0 | 1 |
34 | 1 | 3 | 4 | 8 | 0 | 4 | 5 | 11 | 1 | 0 | 0 | 0 | 0 | 1 | 0 |
31 | 1 | 2 | 4 | 2 | 0 | 4 | 4 | 14 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
35 | 3 | 4 | 3 | 3 | 0 | 1 | 4 | 16 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
42 | 3 | 3 | 3 | 2 | 0 | 5 | 6 | 16 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
34 | 1 | 2 | 5 | 4 | 0 | 5 | 3 | 14 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
34 | 1 | 3 | 5 | 2 | 0 | 3 | 4 | 9 | 1 | 0 | 0 | 0 | 0 | 1 | 0 |
34 | 1 | 2 | 4 | 1 | 0 | 3 | 3 | 13 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
39 | 1 | 3 | 3 | 5 | 0 | 2 | 4 | 36 | 1 | 1 | 1 | 0 | 0 | 0 | 0 |
29 | 1 | 3 | 3 | 3 | 1 | 1 | 4 | 12 | 1 | 1 | 1 | 0 | 1 | 1 | 0 |
35 | 1 | 2 | 3 | 3 | 0 | 3 | 3 | 8 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
26 | 3 | 2 | 3 | 2 | 1 | 2 | 4 | 10 | 1 | 0 | 1 | 1 | 0 | 0 | 0 |
37 | 1 | 3 | 3 | 7 | 0 | 2 | 4 | 10 | 1 | 0 | 0 | 0 | 0 | 1 | 0 |
35 | 1 | 4 | 5 | 6 | 0 | 3 | 4 | 16 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
40 | 1 | 3 | 3 | 2 | 0 | 3 | 4 | 9 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
33 | 3 | 2 | 3 | 2 | 1 | 2 | 3 | 11 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
38 | 3 | 3 | 4 | 1 | 0 | 4 | 4 | 15 | 1 | 0 | 1 | 0 | 0 | 1 | 0 |
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