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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 5 new columns ({'2.48', '-21', '9', '153', '59'}) and 5 missing columns ({'-18', '11', '29', '2.43', '120'}).

This happened while the csv dataset builder was generating data using

zip://zenodo_upload/meta_data/fold14_room1_mix004.csv::hf://datasets/sakshamsingh1/sound_distance@0ab221f64f119ae503449f95177fe336fc3f7de6/dcase.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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              153: int64
              9: int64
              0: int64
              59: int64
              -21: int64
              2.48: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 875
              to
              {'29': Value(dtype='int64', id=None), '11': Value(dtype='int64', id=None), '0': Value(dtype='int64', id=None), '120': Value(dtype='int64', id=None), '-18': Value(dtype='int64', id=None), '2.43': Value(dtype='float64', id=None)}
              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 1316, in compute_config_parquet_and_info_response
                  parquet_operations, partial = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 909, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, 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 5 new columns ({'2.48', '-21', '9', '153', '59'}) and 5 missing columns ({'-18', '11', '29', '2.43', '120'}).
              
              This happened while the csv dataset builder was generating data using
              
              zip://zenodo_upload/meta_data/fold14_room1_mix004.csv::hf://datasets/sakshamsingh1/sound_distance@0ab221f64f119ae503449f95177fe336fc3f7de6/dcase.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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29
int64
11
int64
0
int64
120
int64
-18
int64
2.43
float64
30
11
0
120
-18
2.43
31
11
0
120
-18
2.43
32
11
0
120
-18
2.43
33
11
0
120
-18
2.43
34
11
0
120
-18
2.43
35
11
0
120
-18
2.43
36
11
0
120
-18
2.43
37
11
0
120
-18
2.43
38
11
0
120
-18
2.43
39
11
0
120
-18
2.43
40
11
0
120
-18
2.43
41
11
0
120
-18
2.43
42
11
0
120
-18
2.43
43
11
0
120
-18
2.43
44
11
0
120
-18
2.43
45
11
0
120
-18
2.43
46
11
0
120
-18
2.43
47
11
0
120
-18
2.43
48
11
0
120
-18
2.43
49
11
0
120
-18
2.43
50
11
0
120
-18
2.43
51
11
0
120
-18
2.43
52
11
0
120
-18
2.43
53
11
0
120
-18
2.43
54
11
0
120
-18
2.43
55
11
0
120
-18
2.43
56
11
0
120
-18
2.43
57
11
0
120
-18
2.43
87
4
1
134
14
2.43
88
4
1
134
14
2.43
89
4
1
134
14
2.43
90
4
1
134
14
2.43
91
4
1
134
14
2.43
92
4
1
134
14
2.43
93
4
1
134
14
2.43
94
4
1
134
14
2.43
95
4
1
134
14
2.43
96
4
1
134
14
2.43
97
4
1
134
14
2.43
98
4
1
134
14
2.43
99
4
1
134
14
2.43
100
4
1
134
14
2.43
101
4
1
134
14
2.43
102
4
1
134
14
2.43
103
4
1
134
14
2.43
104
4
1
134
14
2.43
105
4
1
134
14
2.43
149
9
2
98
-1
2.35
150
9
2
98
-1
2.35
151
9
2
98
-1
2.35
152
9
2
98
-1
2.35
153
9
2
98
-1
2.35
154
9
2
98
-1
2.35
155
9
2
98
-1
2.35
156
9
2
98
-1
2.35
157
9
2
98
-1
2.35
158
9
2
98
-1
2.35
159
9
2
98
-1
2.35
160
9
2
98
-1
2.35
161
9
2
98
-1
2.35
162
9
2
98
-1
2.35
163
9
2
98
-1
2.35
164
9
2
98
-1
2.35
165
9
2
98
-1
2.35
166
9
2
98
-1
2.35
167
9
2
98
-1
2.35
168
9
2
98
-1
2.35
169
9
2
98
-1
2.35
170
9
2
98
-1
2.35
171
9
2
98
-1
2.35
172
9
2
98
-1
2.35
173
9
2
98
-1
2.35
174
9
2
98
-1
2.35
175
9
2
98
-1
2.35
176
9
2
98
-1
2.35
177
9
2
98
-1
2.35
205
0
3
-110
20
2.48
206
0
3
-110
20
2.48
207
0
3
-110
20
2.48
208
0
3
-110
20
2.48
209
0
3
-110
20
2.48
210
0
3
-110
20
2.48
211
0
3
-110
20
2.48
212
0
3
-110
20
2.48
224
4
4
-99
0
2.35
225
4
4
-100
0
2.35
226
4
4
-101
0
2.35
227
4
4
-102
0
2.35
228
4
4
-103
1
2.35
229
4
4
-104
1
2.35
230
4
4
-105
1
2.35
231
4
4
-106
1
2.35
232
4
4
-107
0
2.35
233
4
4
-108
0
2.35
234
4
4
-109
0
2.35
235
4
4
-110
0
2.35
236
4
4
-111
0
2.35
237
4
4
-112
0
2.35
238
4
4
-113
0
2.35
239
4
4
-114
0
2.35
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