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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/amityco/relbench-submissions@1b1d9e5403f75519534350198aa7dd236e810d3b/20261031T043316Z/amityai-lbm-v0.1-classification.zip, ['hf://datasets/amityco/relbench-submissions@1b1d9e5403f75519534350198aa7dd236e810d3b/20261031T043316Z/amityai-lbm-v0.1-classification.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 1856, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 811, 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 822, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, 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 1379, 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 956, 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 1702, 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 1858, 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/amityco/relbench-submissions@1b1d9e5403f75519534350198aa7dd236e810d3b/20261031T043316Z/amityai-lbm-v0.1-classification.zip, ['hf://datasets/amityco/relbench-submissions@1b1d9e5403f75519534350198aa7dd236e810d3b/20261031T043316Z/amityai-lbm-v0.1-classification.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)

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.

product_id
int64
timestamp
string
churn
float64
0
2016-01-01
0.001146
3
2016-01-01
0.677114
4
2016-01-01
0.149294
5
2016-01-01
0.742958
6
2016-01-01
0.450879
7
2016-01-01
0.691692
8
2016-01-01
0.44793
9
2016-01-01
0.032312
10
2016-01-01
0.04472
11
2016-01-01
0.925489
15
2016-01-01
0.345247
16
2016-01-01
0.265516
18
2016-01-01
0.556814
19
2016-01-01
0.006238
20
2016-01-01
0.010811
21
2016-01-01
0.90963
22
2016-01-01
0.257808
23
2016-01-01
0.446523
25
2016-01-01
0.333152
27
2016-01-01
0.182385
28
2016-01-01
0.026221
29
2016-01-01
0.289641
31
2016-01-01
0.531402
32
2016-01-01
0.327218
33
2016-01-01
0.004037
34
2016-01-01
0.863781
38
2016-01-01
0.022595
40
2016-01-01
0.29839
46
2016-01-01
0.158749
48
2016-01-01
0.181315
49
2016-01-01
0.290191
50
2016-01-01
0.239078
51
2016-01-01
0.31065
52
2016-01-01
0.962928
54
2016-01-01
0.606316
55
2016-01-01
0.040675
58
2016-01-01
0.212027
60
2016-01-01
0.029621
61
2016-01-01
0.519689
63
2016-01-01
0.010928
64
2016-01-01
0.347305
67
2016-01-01
0.475958
72
2016-01-01
0.007164
73
2016-01-01
0.407738
77
2016-01-01
0.787053
78
2016-01-01
0.544106
79
2016-01-01
0.138117
81
2016-01-01
0.077323
82
2016-01-01
0.589933
86
2016-01-01
0.996889
89
2016-01-01
0.019064
90
2016-01-01
0.612941
94
2016-01-01
0.304384
95
2016-01-01
0.733032
102
2016-01-01
0.709904
105
2016-01-01
0.420987
106
2016-01-01
0.832978
108
2016-01-01
0.949731
110
2016-01-01
0.457046
114
2016-01-01
0.900203
118
2016-01-01
0.939157
121
2016-01-01
0.35576
122
2016-01-01
0.003499
123
2016-01-01
0.122958
125
2016-01-01
0.717513
126
2016-01-01
0.092214
127
2016-01-01
0.081619
128
2016-01-01
0.959074
129
2016-01-01
0.904543
135
2016-01-01
0.832186
136
2016-01-01
0.766388
138
2016-01-01
0.378037
141
2016-01-01
0.272153
142
2016-01-01
0.068655
143
2016-01-01
0.962895
144
2016-01-01
0.396839
145
2016-01-01
0.630231
147
2016-01-01
0.046883
151
2016-01-01
0.516462
152
2016-01-01
0.246912
154
2016-01-01
0.178811
156
2016-01-01
0.08023
162
2016-01-01
0.793997
163
2016-01-01
0.090187
166
2016-01-01
0.017175
168
2016-01-01
0.82345
170
2016-01-01
0.434405
172
2016-01-01
0.024893
174
2016-01-01
0.09332
176
2016-01-01
0.569133
178
2016-01-01
0.148539
179
2016-01-01
0.721311
180
2016-01-01
0.373511
181
2016-01-01
0.155724
183
2016-01-01
0.663205
184
2016-01-01
0.04055
185
2016-01-01
0.098187
186
2016-01-01
0.015811
187
2016-01-01
0.803092
188
2016-01-01
0.309342
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