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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.