Datasets:
brain-bzh
/
reve-dataset

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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 3 new columns ({'n_chans_to_remove', 'flag_remove', 'flag_reduce'}) and 1 missing columns ({'n_chans'}).

This happened while the csv dataset builder was generating data using

hf://datasets/brain-bzh/reve-dataset/df_corrected.csv (at revision 4f67737163717627a3cc84bc8e5754d30c0db199), ['hf://datasets/brain-bzh/reve-dataset@4f67737163717627a3cc84bc8e5754d30c0db199/df_big.csv', 'hf://datasets/brain-bzh/reve-dataset@4f67737163717627a3cc84bc8e5754d30c0db199/df_corrected.csv', 'hf://datasets/brain-bzh/reve-dataset@4f67737163717627a3cc84bc8e5754d30c0db199/df_stats.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/python3.12/site-packages/datasets/builder.py", line 1890, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 760, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              big_recording_index: int64
              duration: int64
              flag_remove: bool
              flag_reduce: string
              n_chans_to_remove: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 881
              to
              {'big_recording_index': Value('int64'), 'duration': Value('int64'), 'n_chans': Value('int64')}
              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 1342, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 907, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, 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 1892, 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 3 new columns ({'n_chans_to_remove', 'flag_remove', 'flag_reduce'}) and 1 missing columns ({'n_chans'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/brain-bzh/reve-dataset/df_corrected.csv (at revision 4f67737163717627a3cc84bc8e5754d30c0db199), ['hf://datasets/brain-bzh/reve-dataset@4f67737163717627a3cc84bc8e5754d30c0db199/df_big.csv', 'hf://datasets/brain-bzh/reve-dataset@4f67737163717627a3cc84bc8e5754d30c0db199/df_corrected.csv', 'hf://datasets/brain-bzh/reve-dataset@4f67737163717627a3cc84bc8e5754d30c0db199/df_stats.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)

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big_recording_index
int64
duration
int64
n_chans
int64
74
944,000
16
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19,564,000
64
80
21,600,000
62
81
3,800,000
27
82
12,600,000
61
83
34,625,304
64
85
11,065,530
60
86
3,599,799
14
87
13,020,000
128
88
13,948,000
128
89
1,890,945
8
90
21,600,000
62
92
4,932,000
16
93
778,000
32
98
5,848,000
32
99
9,324,000
32
100
6,006,000
31
101
11,952,000
62
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6,640,000
62
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62
104
10,624,000
62
105
29,832,400
128
106
30,092,000
128
107
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128
108
29,390,800
128
109
29,624,200
128
110
30,211,200
128
111
30,230,800
128
112
29,655,000
128
113
29,896,400
128
114
30,220,200
128
115
29,345,200
128
116
9,423,800
128
117
24,655,520
59
118
33,311,920
26
119
8,568,716
54
120
13,914,777
52
121
19,306,912
62
122
13,128,736
54
123
19,484,236
62
124
8,141,064
62
125
33,352,348
54
126
7,713,872
54
127
7,877,200
6
128
18,034,313
5
129
9,761,200
64
130
37,039,824
60
131
8,193,040
62
132
18,567,030
63
133
13,835,400
28
134
12,168,830
63
135
19,877,200
52
136
34,313,024
52
137
22,070,200
52
138
47,904,200
52
139
6,917,804
24
140
6,918,800
18
141
18,923,600
16
142
8,245,012
24
143
45,211,296
54
144
6,010,464
24
145
5,371,600
24
146
15,194,800
50
147
14,828,212
8
148
29,178,651
54
149
7,344,000
52
150
38,338,013
48
151
1,812,800
26
152
16,363,929
56
153
38,684,640
62
154
53,988,902
52
155
12,685,268
52
156
14,982,000
19
157
6,807,060
129
158
29,585,800
128
159
29,796,600
128
160
29,860,400
128
161
29,692,600
128
162
29,397,800
128
163
29,351,400
128
164
30,058,400
128
165
30,292,000
128
166
29,594,000
128
167
29,906,000
128
168
29,614,600
128
169
29,493,000
128
170
29,357,800
128
171
29,301,400
128
172
29,752,200
128
173
29,555,400
128
174
30,149,000
128
175
30,109,000
128
176
29,607,800
128
177
29,796,000
128
178
29,312,800
128
179
30,195,000
128
180
29,995,400
128
181
29,882,800
128
182
29,539,600
128
183
29,335,400
128
End of preview.