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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 ({'customer_id'}) and 1 missing columns ({'product_id'}).

This happened while the csv dataset builder was generating data using

zip://rel-amazon__user-churn.csv::hf://datasets/flopeznv/relbench-submissions@b3824b4a4d48cdfeca01ee2ddf2dab9b626cd993/20261009T144757Z/relbench-readiness-test8-classification.zip, ['hf://datasets/flopeznv/relbench-submissions@b3824b4a4d48cdfeca01ee2ddf2dab9b626cd993/20261009T144757Z/relbench-readiness-test8-classification.zip', 'hf://datasets/flopeznv/relbench-submissions@b3824b4a4d48cdfeca01ee2ddf2dab9b626cd993/20261009T144757Z/relbench-readiness-test8-regression.zip']

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 784, 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 795, 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
              customer_id: int64
              timestamp: string
              churn: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 629
              to
              {'product_id': Value('int64'), 'timestamp': Value('string'), 'churn': 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 ({'customer_id'}) and 1 missing columns ({'product_id'}).
              
              This happened while the csv dataset builder was generating data using
              
              zip://rel-amazon__user-churn.csv::hf://datasets/flopeznv/relbench-submissions@b3824b4a4d48cdfeca01ee2ddf2dab9b626cd993/20261009T144757Z/relbench-readiness-test8-classification.zip, ['hf://datasets/flopeznv/relbench-submissions@b3824b4a4d48cdfeca01ee2ddf2dab9b626cd993/20261009T144757Z/relbench-readiness-test8-classification.zip', 'hf://datasets/flopeznv/relbench-submissions@b3824b4a4d48cdfeca01ee2ddf2dab9b626cd993/20261009T144757Z/relbench-readiness-test8-regression.zip']
              
              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
int64
timestamp
string
churn
float64
0
2016-01-01
0.003591
3
2016-01-01
0.55111
4
2016-01-01
0.102237
5
2016-01-01
0.634215
6
2016-01-01
0.410639
7
2016-01-01
0.68116
8
2016-01-01
0.419537
9
2016-01-01
0.004667
10
2016-01-01
0.008783
11
2016-01-01
0.778758
15
2016-01-01
0.309448
16
2016-01-01
0.16475
18
2016-01-01
0.438282
19
2016-01-01
0.003501
20
2016-01-01
0.002243
21
2016-01-01
0.775518
22
2016-01-01
0.121796
23
2016-01-01
0.416002
25
2016-01-01
0.332138
27
2016-01-01
0.059538
28
2016-01-01
0.003033
29
2016-01-01
0.146818
31
2016-01-01
0.4441
32
2016-01-01
0.264379
33
2016-01-01
0.001872
34
2016-01-01
0.754665
38
2016-01-01
0.004535
40
2016-01-01
0.229106
46
2016-01-01
0.046812
48
2016-01-01
0.067947
49
2016-01-01
0.145574
50
2016-01-01
0.086974
51
2016-01-01
0.286238
52
2016-01-01
0.844722
54
2016-01-01
0.584211
55
2016-01-01
0.00398
58
2016-01-01
0.059793
60
2016-01-01
0.004523
61
2016-01-01
0.249323
63
2016-01-01
0.004409
64
2016-01-01
0.212404
67
2016-01-01
0.410904
72
2016-01-01
0.002836
73
2016-01-01
0.386112
77
2016-01-01
0.677997
78
2016-01-01
0.387418
79
2016-01-01
0.063269
81
2016-01-01
0.008729
82
2016-01-01
0.437285
86
2016-01-01
0.881785
89
2016-01-01
0.004995
90
2016-01-01
0.522021
94
2016-01-01
0.111101
95
2016-01-01
0.627507
102
2016-01-01
0.57455
105
2016-01-01
0.298593
106
2016-01-01
0.747663
108
2016-01-01
0.852739
110
2016-01-01
0.366161
114
2016-01-01
0.769239
118
2016-01-01
0.845912
121
2016-01-01
0.292127
122
2016-01-01
0.001893
123
2016-01-01
0.028319
125
2016-01-01
0.574218
126
2016-01-01
0.01577
127
2016-01-01
0.015518
128
2016-01-01
0.823541
129
2016-01-01
0.753597
135
2016-01-01
0.739263
136
2016-01-01
0.694702
138
2016-01-01
0.264855
141
2016-01-01
0.222865
142
2016-01-01
0.010871
143
2016-01-01
0.826935
144
2016-01-01
0.283657
145
2016-01-01
0.619018
147
2016-01-01
0.008242
151
2016-01-01
0.419145
152
2016-01-01
0.125426
154
2016-01-01
0.056358
156
2016-01-01
0.024108
162
2016-01-01
0.777112
163
2016-01-01
0.082782
166
2016-01-01
0.003282
168
2016-01-01
0.788837
170
2016-01-01
0.22196
172
2016-01-01
0.003862
174
2016-01-01
0.053023
176
2016-01-01
0.506771
178
2016-01-01
0.058351
179
2016-01-01
0.630636
180
2016-01-01
0.315536
181
2016-01-01
0.042006
183
2016-01-01
0.460469
184
2016-01-01
0.040125
185
2016-01-01
0.017776
186
2016-01-01
0.00386
187
2016-01-01
0.7212
188
2016-01-01
0.174879
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