Dataset Preview
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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)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.
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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