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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 2 new columns ({'Sales', '#Order'}) This happened while the csv dataset builder was generating data using hf://datasets/SURESHBEEKHANI/SalesForecastingWOMartStore/TRAIN.csv (at revision 9fad683234cd403a8e67482eb8250e9c4957f28c) 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 1869, in _prepare_split_single writer.write_table(table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 580, 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 2292, in table_cast return cast_table_to_schema(table, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema raise CastError( datasets.table.CastError: Couldn't cast ID: string Store_id: int64 Store_Type: string Location_Type: string Region_Code: string Date: string Holiday: int64 Discount: string #Order: int64 Sales: double -- schema metadata -- pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1403 to {'ID': Value(dtype='string', id=None), 'Store_id': Value(dtype='int64', id=None), 'Store_Type': Value(dtype='string', id=None), 'Location_Type': Value(dtype='string', id=None), 'Region_Code': Value(dtype='string', id=None), 'Date': Value(dtype='string', id=None), 'Holiday': Value(dtype='int64', id=None), 'Discount': Value(dtype='string', 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 1392, in compute_config_parquet_and_info_response parquet_operations = convert_to_parquet(builder) File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1041, in convert_to_parquet builder.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 999, in _download_and_prepare self._prepare_split(split_generator, **prepare_split_kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1740, 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 1871, 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 2 new columns ({'Sales', '#Order'}) This happened while the csv dataset builder was generating data using hf://datasets/SURESHBEEKHANI/SalesForecastingWOMartStore/TRAIN.csv (at revision 9fad683234cd403a8e67482eb8250e9c4957f28c) 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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ID
string | Store_id
int64 | Store_Type
string | Location_Type
string | Region_Code
string | Date
string | Holiday
int64 | Discount
string |
---|---|---|---|---|---|---|---|
T1188341
| 171 |
S4
|
L2
|
R3
|
2019-06-01
| 0 |
No
|
T1188342
| 172 |
S1
|
L1
|
R1
|
2019-06-01
| 0 |
No
|
T1188343
| 173 |
S4
|
L2
|
R1
|
2019-06-01
| 0 |
No
|
T1188344
| 174 |
S1
|
L1
|
R4
|
2019-06-01
| 0 |
No
|
T1188345
| 170 |
S1
|
L1
|
R2
|
2019-06-01
| 0 |
No
|
T1188346
| 175 |
S4
|
L2
|
R1
|
2019-06-01
| 0 |
No
|
T1188347
| 176 |
S4
|
L2
|
R3
|
2019-06-01
| 0 |
No
|
T1188348
| 169 |
S1
|
L2
|
R4
|
2019-06-01
| 0 |
No
|
T1188349
| 14 |
S3
|
L2
|
R4
|
2019-06-01
| 0 |
No
|
T1188350
| 177 |
S2
|
L1
|
R4
|
2019-06-01
| 0 |
No
|
T1188351
| 178 |
S3
|
L2
|
R3
|
2019-06-01
| 0 |
No
|
T1188352
| 179 |
S1
|
L1
|
R2
|
2019-06-01
| 0 |
No
|
T1188353
| 185 |
S1
|
L1
|
R3
|
2019-06-01
| 0 |
No
|
T1188354
| 181 |
S3
|
L1
|
R3
|
2019-06-01
| 0 |
No
|
T1188355
| 182 |
S3
|
L1
|
R1
|
2019-06-01
| 0 |
No
|
T1188356
| 183 |
S1
|
L3
|
R1
|
2019-06-01
| 0 |
No
|
T1188357
| 184 |
S1
|
L2
|
R2
|
2019-06-01
| 0 |
No
|
T1188358
| 186 |
S2
|
L5
|
R2
|
2019-06-01
| 0 |
No
|
T1188359
| 187 |
S1
|
L1
|
R1
|
2019-06-01
| 0 |
No
|
T1188360
| 188 |
S3
|
L2
|
R1
|
2019-06-01
| 0 |
No
|
T1188361
| 189 |
S2
|
L3
|
R3
|
2019-06-01
| 0 |
No
|
T1188362
| 190 |
S3
|
L3
|
R1
|
2019-06-01
| 0 |
No
|
T1188363
| 191 |
S3
|
L1
|
R1
|
2019-06-01
| 0 |
No
|
T1188364
| 168 |
S2
|
L3
|
R3
|
2019-06-01
| 0 |
No
|
T1188365
| 13 |
S3
|
L3
|
R1
|
2019-06-01
| 0 |
No
|
T1188366
| 180 |
S1
|
L3
|
R2
|
2019-06-01
| 0 |
No
|
T1188367
| 167 |
S1
|
L1
|
R2
|
2019-06-01
| 0 |
No
|
T1188368
| 142 |
S2
|
L1
|
R3
|
2019-06-01
| 0 |
No
|
T1188369
| 165 |
S1
|
L1
|
R2
|
2019-06-01
| 0 |
No
|
T1188370
| 140 |
S4
|
L1
|
R1
|
2019-06-01
| 0 |
No
|
T1188371
| 141 |
S1
|
L1
|
R2
|
2019-06-01
| 0 |
No
|
T1188372
| 143 |
S3
|
L2
|
R3
|
2019-06-01
| 0 |
No
|
T1188373
| 144 |
S1
|
L3
|
R3
|
2019-06-01
| 0 |
No
|
T1188374
| 145 |
S1
|
L3
|
R1
|
2019-06-01
| 0 |
No
|
T1188375
| 146 |
S4
|
L2
|
R1
|
2019-06-01
| 0 |
No
|
T1188376
| 147 |
S4
|
L2
|
R4
|
2019-06-01
| 0 |
No
|
T1188377
| 16 |
S1
|
L3
|
R1
|
2019-06-01
| 0 |
No
|
T1188378
| 148 |
S1
|
L1
|
R2
|
2019-06-01
| 0 |
No
|
T1188379
| 149 |
S2
|
L3
|
R2
|
2019-06-01
| 0 |
No
|
T1188380
| 150 |
S4
|
L2
|
R1
|
2019-06-01
| 0 |
No
|
T1188381
| 151 |
S1
|
L3
|
R2
|
2019-06-01
| 0 |
No
|
T1188382
| 166 |
S1
|
L1
|
R2
|
2019-06-01
| 0 |
No
|
T1188383
| 152 |
S2
|
L1
|
R1
|
2019-06-01
| 0 |
No
|
T1188384
| 154 |
S1
|
L3
|
R2
|
2019-06-01
| 0 |
No
|
T1188385
| 155 |
S3
|
L1
|
R2
|
2019-06-01
| 0 |
No
|
T1188386
| 156 |
S1
|
L1
|
R3
|
2019-06-01
| 0 |
No
|
T1188387
| 157 |
S4
|
L2
|
R1
|
2019-06-01
| 0 |
No
|
T1188388
| 158 |
S4
|
L2
|
R2
|
2019-06-01
| 0 |
No
|
T1188389
| 159 |
S2
|
L1
|
R3
|
2019-06-01
| 0 |
No
|
T1188390
| 160 |
S4
|
L2
|
R1
|
2019-06-01
| 0 |
Yes
|
T1188391
| 161 |
S1
|
L1
|
R3
|
2019-06-01
| 0 |
No
|
T1188392
| 162 |
S4
|
L1
|
R2
|
2019-06-01
| 0 |
No
|
T1188393
| 15 |
S4
|
L2
|
R1
|
2019-06-01
| 0 |
No
|
T1188394
| 163 |
S1
|
L2
|
R3
|
2019-06-01
| 0 |
No
|
T1188395
| 164 |
S1
|
L1
|
R3
|
2019-06-01
| 0 |
No
|
T1188396
| 153 |
S4
|
L2
|
R1
|
2019-06-01
| 0 |
No
|
T1188397
| 192 |
S1
|
L1
|
R3
|
2019-06-01
| 0 |
No
|
T1188398
| 246 |
S3
|
L1
|
R3
|
2019-06-01
| 0 |
No
|
T1188399
| 194 |
S1
|
L1
|
R2
|
2019-06-01
| 0 |
No
|
T1188400
| 224 |
S1
|
L2
|
R2
|
2019-06-01
| 0 |
No
|
T1188401
| 225 |
S1
|
L1
|
R1
|
2019-06-01
| 0 |
No
|
T1188402
| 226 |
S2
|
L5
|
R4
|
2019-06-01
| 0 |
No
|
T1188403
| 227 |
S4
|
L2
|
R1
|
2019-06-01
| 0 |
No
|
T1188404
| 228 |
S1
|
L1
|
R1
|
2019-06-01
| 0 |
No
|
T1188405
| 229 |
S1
|
L1
|
R2
|
2019-06-01
| 0 |
No
|
T1188406
| 230 |
S2
|
L4
|
R4
|
2019-06-01
| 0 |
No
|
T1188407
| 231 |
S4
|
L2
|
R3
|
2019-06-01
| 0 |
No
|
T1188408
| 232 |
S1
|
L1
|
R4
|
2019-06-01
| 0 |
No
|
T1188409
| 233 |
S1
|
L3
|
R3
|
2019-06-01
| 0 |
Yes
|
T1188410
| 234 |
S2
|
L4
|
R2
|
2019-06-01
| 0 |
No
|
T1188411
| 10 |
S4
|
L2
|
R3
|
2019-06-01
| 0 |
No
|
T1188412
| 223 |
S2
|
L5
|
R2
|
2019-06-01
| 0 |
No
|
T1188413
| 235 |
S1
|
L1
|
R3
|
2019-06-01
| 0 |
No
|
T1188414
| 237 |
S2
|
L3
|
R3
|
2019-06-01
| 0 |
No
|
T1188415
| 238 |
S1
|
L1
|
R2
|
2019-06-01
| 0 |
No
|
T1188416
| 239 |
S3
|
L1
|
R3
|
2019-06-01
| 0 |
No
|
T1188417
| 240 |
S3
|
L2
|
R3
|
2019-06-01
| 0 |
No
|
T1188418
| 241 |
S1
|
L1
|
R4
|
2019-06-01
| 0 |
No
|
T1188419
| 242 |
S4
|
L1
|
R1
|
2019-06-01
| 0 |
No
|
T1188420
| 243 |
S4
|
L2
|
R2
|
2019-06-01
| 0 |
No
|
T1188421
| 244 |
S2
|
L5
|
R4
|
2019-06-01
| 0 |
No
|
T1188422
| 245 |
S4
|
L1
|
R2
|
2019-06-01
| 0 |
No
|
T1188423
| 139 |
S4
|
L2
|
R2
|
2019-06-01
| 0 |
No
|
T1188424
| 247 |
S1
|
L1
|
R3
|
2019-06-01
| 0 |
No
|
T1188425
| 248 |
S1
|
L1
|
R2
|
2019-06-01
| 0 |
No
|
T1188426
| 236 |
S1
|
L1
|
R3
|
2019-06-01
| 0 |
No
|
T1188427
| 222 |
S4
|
L2
|
R2
|
2019-06-01
| 0 |
No
|
T1188428
| 221 |
S1
|
L1
|
R2
|
2019-06-01
| 0 |
No
|
T1188429
| 11 |
S4
|
L2
|
R1
|
2019-06-01
| 0 |
No
|
T1188430
| 195 |
S4
|
L1
|
R1
|
2019-06-01
| 0 |
No
|
T1188431
| 196 |
S1
|
L1
|
R3
|
2019-06-01
| 0 |
No
|
T1188432
| 197 |
S2
|
L5
|
R1
|
2019-06-01
| 0 |
No
|
T1188433
| 198 |
S4
|
L2
|
R3
|
2019-06-01
| 0 |
No
|
T1188434
| 199 |
S1
|
L1
|
R4
|
2019-06-01
| 0 |
No
|
T1188435
| 200 |
S2
|
L1
|
R2
|
2019-06-01
| 0 |
No
|
T1188436
| 201 |
S4
|
L1
|
R1
|
2019-06-01
| 0 |
No
|
T1188437
| 202 |
S4
|
L2
|
R2
|
2019-06-01
| 0 |
No
|
T1188438
| 203 |
S2
|
L4
|
R2
|
2019-06-01
| 0 |
No
|
T1188439
| 204 |
S4
|
L1
|
R3
|
2019-06-01
| 0 |
No
|
T1188440
| 205 |
S1
|
L1
|
R2
|
2019-06-01
| 0 |
No
|
End of preview.
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