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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 1 new columns ({'ProdTaken'}) and 19 missing columns ({'MaritalStatus', 'TypeofContact', 'NumberOfTrips', 'PitchSatisfactionScore', 'Occupation', 'Age', 'MonthlyIncome', 'NumberOfFollowups', 'ProductPitched', 'NumberOfChildrenVisiting', 'NumberOfPersonVisiting', 'CityTier', 'Passport', 'PreferredPropertyStar', 'DurationOfPitch', 'OwnCar', 'Designation', 'Gender', 'Unnamed: 0'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Disha252001/Tour_dataset/processed/y_train.csv (at revision 88e3f2f2dcd7fd5ed8c18029ace27ee6373949d4)
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 1831, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, 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
ProdTaken: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 377
to
{'Unnamed: 0': Value('int64'), 'Age': Value('float64'), 'TypeofContact': Value('int64'), 'CityTier': Value('int64'), 'DurationOfPitch': Value('float64'), 'Occupation': Value('int64'), 'Gender': Value('int64'), 'NumberOfPersonVisiting': Value('int64'), 'NumberOfFollowups': Value('float64'), 'ProductPitched': Value('int64'), 'PreferredPropertyStar': Value('float64'), 'MaritalStatus': Value('int64'), 'NumberOfTrips': Value('float64'), 'Passport': Value('int64'), 'PitchSatisfactionScore': Value('int64'), 'OwnCar': Value('int64'), 'NumberOfChildrenVisiting': Value('float64'), 'Designation': Value('int64'), 'MonthlyIncome': Value('float64')}
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 1339, 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 972, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, 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 1833, 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 1 new columns ({'ProdTaken'}) and 19 missing columns ({'MaritalStatus', 'TypeofContact', 'NumberOfTrips', 'PitchSatisfactionScore', 'Occupation', 'Age', 'MonthlyIncome', 'NumberOfFollowups', 'ProductPitched', 'NumberOfChildrenVisiting', 'NumberOfPersonVisiting', 'CityTier', 'Passport', 'PreferredPropertyStar', 'DurationOfPitch', 'OwnCar', 'Designation', 'Gender', 'Unnamed: 0'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Disha252001/Tour_dataset/processed/y_train.csv (at revision 88e3f2f2dcd7fd5ed8c18029ace27ee6373949d4)
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.
Unnamed: 0 int64 | Age float64 | TypeofContact int64 | CityTier int64 | DurationOfPitch float64 | Occupation int64 | Gender int64 | NumberOfPersonVisiting int64 | NumberOfFollowups float64 | ProductPitched int64 | PreferredPropertyStar float64 | MaritalStatus int64 | NumberOfTrips float64 | Passport int64 | PitchSatisfactionScore int64 | OwnCar int64 | NumberOfChildrenVisiting float64 | Designation int64 | MonthlyIncome float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3,850 | 55 | 1 | 1 | 17 | 3 | 1 | 4 | 4 | 1 | 5 | 3 | 8 | 1 | 1 | 0 | 1 | 2 | 23,118 |
2,463 | 39 | 1 | 1 | 9 | 2 | 2 | 3 | 4 | 0 | 3 | 3 | 7 | 1 | 4 | 0 | 2 | 1 | 22,622 |
878 | 42 | 0 | 2 | 8 | 3 | 2 | 3 | 1 | 1 | 5 | 0 | 1 | 0 | 2 | 0 | 2 | 2 | 21,272 |
2,482 | 37 | 1 | 1 | 12 | 2 | 1 | 3 | 5 | 0 | 5 | 0 | 2 | 1 | 2 | 1 | 1 | 1 | 98,678 |
3,074 | 23 | 1 | 1 | 7 | 2 | 2 | 3 | 5 | 1 | 3 | 0 | 8 | 0 | 2 | 1 | 1 | 2 | 23,453 |
3,002 | 33 | 0 | 1 | 31 | 2 | 2 | 4 | 4 | 1 | 3 | 0 | 3 | 0 | 4 | 1 | 1 | 2 | 23,987 |
1,261 | 38 | 1 | 1 | 24 | 3 | 2 | 2 | 5 | 1 | 3 | 1 | 4 | 1 | 5 | 0 | 1 | 2 | 20,811 |
3,187 | 60 | 1 | 1 | 9 | 2 | 1 | 4 | 5 | 4 | 3 | 2 | 5 | 1 | 5 | 0 | 3 | 0 | 32,404 |
2,230 | 53 | 0 | 3 | 8 | 3 | 1 | 2 | 4 | 3 | 4 | 1 | 3 | 0 | 1 | 1 | 0 | 3 | 22,525 |
3,643 | 37 | 1 | 1 | 33 | 2 | 2 | 4 | 4 | 1 | 3 | 1 | 8 | 0 | 3 | 1 | 1 | 2 | 24,025 |
1,897 | 60 | 0 | 3 | 34 | 3 | 1 | 3 | 4 | 3 | 5 | 1 | 5 | 0 | 1 | 1 | 0 | 3 | 25,266 |
4,738 | 43 | 1 | 1 | 36 | 3 | 2 | 3 | 6 | 1 | 3 | 3 | 6 | 0 | 3 | 1 | 2 | 2 | 22,950 |
1,480 | 35 | 1 | 1 | 22 | 3 | 2 | 2 | 1 | 0 | 4 | 1 | 1 | 0 | 4 | 1 | 1 | 1 | 17,426 |
4,557 | 43 | 1 | 1 | 10 | 2 | 1 | 4 | 2 | 1 | 3 | 1 | 4 | 1 | 5 | 1 | 1 | 2 | 23,909 |
994 | 52 | 0 | 1 | 34 | 3 | 1 | 2 | 1 | 4 | 3 | 0 | 3 | 1 | 4 | 0 | 0 | 0 | 28,247 |
3,104 | 59 | 0 | 1 | 9 | 2 | 2 | 3 | 5 | 0 | 3 | 1 | 2 | 1 | 2 | 0 | 1 | 1 | 21,058 |
9 | 36 | 1 | 1 | 33 | 3 | 2 | 3 | 3 | 1 | 3 | 0 | 7 | 0 | 3 | 1 | 0 | 2 | 20,237 |
3,825 | 29 | 0 | 1 | 23 | 3 | 2 | 3 | 4 | 0 | 3 | 2 | 3 | 0 | 3 | 0 | 1 | 1 | 20,822 |
4,425 | 37 | 1 | 1 | 16 | 3 | 2 | 3 | 5 | 1 | 4 | 1 | 4 | 1 | 4 | 0 | 2 | 2 | 27,525 |
198 | 38 | 1 | 1 | 8 | 2 | 2 | 2 | 3 | 1 | 3 | 0 | 1 | 0 | 2 | 0 | 1 | 2 | 21,553 |
1,012 | 31 | 0 | 3 | 6 | 2 | 1 | 2 | 5 | 0 | 3 | 2 | 2 | 0 | 3 | 1 | 1 | 1 | 16,359 |
3,069 | 46 | 1 | 3 | 16 | 3 | 2 | 4 | 4 | 3 | 5 | 1 | 6 | 1 | 2 | 1 | 1 | 3 | 29,439 |
4,873 | 41 | 1 | 3 | 14 | 3 | 2 | 3 | 4 | 0 | 4 | 3 | 3 | 0 | 5 | 0 | 1 | 1 | 23,339 |
2,443 | 35 | 1 | 1 | 13 | 2 | 2 | 3 | 3 | 0 | 4 | 2 | 2 | 1 | 3 | 1 | 1 | 1 | 20,363 |
2,016 | 29 | 1 | 3 | 16 | 2 | 2 | 3 | 3 | 0 | 3 | 2 | 2 | 0 | 4 | 1 | 0 | 1 | 17,642 |
1,561 | 51 | 1 | 3 | 27 | 3 | 2 | 3 | 3 | 1 | 3 | 2 | 1 | 1 | 5 | 0 | 2 | 2 | 20,441 |
304 | 39 | 1 | 1 | 6 | 3 | 2 | 2 | 2 | 3 | 3 | 1 | 1 | 0 | 3 | 1 | 0 | 3 | 24,613 |
628 | 37 | 1 | 3 | 22 | 3 | 2 | 3 | 4 | 1 | 3 | 1 | 5 | 0 | 5 | 1 | 2 | 2 | 21,334 |
710 | 33 | 0 | 3 | 23 | 2 | 2 | 2 | 3 | 4 | 3 | 2 | 2 | 0 | 3 | 1 | 1 | 0 | 32,444 |
4,045 | 51 | 0 | 3 | 19 | 3 | 0 | 4 | 4 | 3 | 3 | 3 | 6 | 0 | 5 | 1 | 3 | 3 | 27,886 |
3,738 | 42 | 1 | 1 | 12 | 2 | 2 | 3 | 2 | 1 | 4 | 3 | 5 | 0 | 5 | 1 | 1 | 2 | 25,548 |
2,763 | 33 | 1 | 3 | 15 | 1 | 1 | 4 | 5 | 1 | 4 | 0 | 3 | 1 | 2 | 1 | 1 | 2 | 23,906 |
3,267 | 30 | 0 | 1 | 17 | 2 | 1 | 4 | 4 | 0 | 4 | 1 | 2 | 0 | 5 | 1 | 1 | 1 | 21,969 |
2,779 | 41 | 1 | 3 | 7 | 3 | 2 | 3 | 6 | 1 | 3 | 0 | 4 | 1 | 3 | 1 | 1 | 2 | 26,135 |
3,466 | 38 | 0 | 1 | 12 | 1 | 2 | 3 | 2 | 0 | 3 | 3 | 2 | 0 | 5 | 1 | 1 | 1 | 22,178 |
3,418 | 28 | 0 | 3 | 9 | 2 | 2 | 3 | 6 | 1 | 3 | 3 | 5 | 0 | 4 | 1 | 2 | 2 | 23,749 |
3,668 | 27 | 1 | 1 | 24 | 3 | 2 | 4 | 6 | 0 | 3 | 1 | 3 | 0 | 3 | 0 | 3 | 1 | 20,983 |
1,788 | 27 | 1 | 1 | 11 | 2 | 1 | 2 | 3 | 0 | 4 | 2 | 2 | 1 | 3 | 0 | 1 | 1 | 17,478 |
4,430 | 24 | 1 | 1 | 11 | 3 | 2 | 3 | 2 | 0 | 5 | 1 | 4 | 0 | 4 | 0 | 2 | 1 | 21,497 |
2,076 | 34 | 0 | 1 | 22 | 2 | 1 | 3 | 4 | 0 | 3 | 2 | 2 | 0 | 5 | 1 | 2 | 1 | 17,553 |
4,856 | 37 | 1 | 3 | 17 | 3 | 2 | 3 | 5 | 3 | 5 | 1 | 2 | 0 | 5 | 0 | 1 | 3 | 25,772 |
2,317 | 34 | 0 | 1 | 7 | 3 | 2 | 3 | 4 | 1 | 5 | 2 | 1 | 0 | 1 | 0 | 0 | 2 | 20,343 |
216 | 30 | 0 | 3 | 32 | 3 | 1 | 2 | 4 | 1 | 5 | 3 | 6 | 0 | 2 | 0 | 1 | 2 | 21,696 |
1,640 | 27 | 1 | 1 | 23 | 1 | 2 | 2 | 3 | 0 | 4 | 1 | 1 | 1 | 4 | 0 | 0 | 1 | 18,058 |
3,290 | 36 | 1 | 1 | 9 | 2 | 2 | 3 | 5 | 3 | 4 | 1 | 4 | 0 | 4 | 1 | 1 | 3 | 28,952 |
1,713 | 40 | 1 | 1 | 30 | 1 | 2 | 3 | 3 | 1 | 3 | 1 | 2 | 0 | 3 | 1 | 1 | 2 | 18,319 |
2,908 | 38 | 1 | 1 | 7 | 1 | 0 | 3 | 4 | 3 | 3 | 3 | 6 | 0 | 5 | 1 | 2 | 3 | 26,169 |
3,770 | 33 | 1 | 3 | 9 | 3 | 2 | 3 | 5 | 1 | 4 | 2 | 2 | 1 | 1 | 1 | 1 | 2 | 28,585 |
4,251 | 30 | 1 | 1 | 16 | 2 | 2 | 2 | 5 | 0 | 3 | 3 | 2 | 0 | 1 | 1 | 1 | 1 | 22,661 |
2,169 | 52 | 1 | 1 | 6 | 2 | 2 | 3 | 3 | 4 | 3 | 1 | 3 | 0 | 1 | 1 | 2 | 0 | 32,099 |
3,681 | 33 | 1 | 3 | 7 | 2 | 2 | 3 | 6 | 1 | 4 | 3 | 8 | 0 | 3 | 0 | 2 | 2 | 25,413 |
4,806 | 20 | 0 | 1 | 17 | 3 | 1 | 4 | 5 | 0 | 4 | 2 | 3 | 1 | 5 | 0 | 3 | 1 | 20,537 |
8 | 38 | 0 | 1 | 29 | 2 | 2 | 2 | 4 | 3 | 3 | 3 | 1 | 0 | 3 | 0 | 0 | 3 | 24,526 |
2,114 | 31 | 1 | 1 | 17 | 2 | 2 | 2 | 3 | 0 | 3 | 1 | 4 | 1 | 3 | 0 | 0 | 1 | 17,356 |
3,223 | 52 | 1 | 1 | 11 | 2 | 2 | 3 | 4 | 0 | 3 | 0 | 2 | 1 | 2 | 1 | 2 | 1 | 21,139 |
4,056 | 39 | 1 | 1 | 10 | 1 | 1 | 3 | 4 | 1 | 3 | 3 | 5 | 1 | 5 | 1 | 1 | 2 | 22,995 |
4,051 | 40 | 1 | 3 | 11 | 2 | 1 | 3 | 5 | 1 | 3 | 1 | 6 | 0 | 5 | 1 | 2 | 2 | 24,580 |
3,409 | 26 | 1 | 1 | 26 | 3 | 2 | 4 | 4 | 0 | 3 | 0 | 5 | 0 | 5 | 1 | 3 | 1 | 22,347 |
1,223 | 47 | 0 | 3 | 15 | 2 | 2 | 2 | 5 | 4 | 3 | 1 | 1 | 0 | 5 | 1 | 1 | 0 | 27,936 |
2,234 | 28 | 1 | 3 | 16 | 3 | 2 | 3 | 3 | 0 | 4 | 1 | 2 | 0 | 5 | 0 | 2 | 1 | 16,052 |
3,272 | 19 | 0 | 1 | 15 | 3 | 2 | 4 | 4 | 0 | 3 | 2 | 3 | 0 | 5 | 0 | 1 | 1 | 20,582 |
2,031 | 52 | 1 | 3 | 9 | 3 | 2 | 2 | 4 | 4 | 5 | 1 | 2 | 0 | 5 | 1 | 0 | 0 | 31,856 |
2,615 | 20 | 0 | 3 | 7 | 1 | 1 | 4 | 6 | 0 | 5 | 2 | 2 | 0 | 3 | 1 | 2 | 1 | 21,003 |
2,471 | 43 | 1 | 3 | 15 | 3 | 2 | 3 | 4 | 1 | 4 | 0 | 2 | 0 | 3 | 0 | 2 | 2 | 25,503 |
4,807 | 30 | 1 | 1 | 8 | 2 | 1 | 4 | 4 | 0 | 3 | 1 | 3 | 0 | 1 | 1 | 3 | 1 | 22,438 |
3,896 | 51 | 0 | 3 | 7 | 2 | 2 | 4 | 4 | 1 | 3 | 1 | 2 | 0 | 3 | 1 | 2 | 2 | 25,406 |
4,122 | 41 | 0 | 1 | 16 | 2 | 2 | 4 | 5 | 1 | 3 | 1 | 2 | 0 | 5 | 0 | 2 | 2 | 23,554 |
2,598 | 33 | 0 | 3 | 15 | 3 | 0 | 3 | 4 | 3 | 3 | 3 | 3 | 0 | 4 | 1 | 2 | 3 | 27,676 |
2,806 | 22 | 0 | 3 | 16 | 3 | 2 | 3 | 4 | 0 | 3 | 3 | 3 | 0 | 4 | 0 | 1 | 1 | 21,288 |
1,831 | 40 | 1 | 1 | 16 | 2 | 1 | 2 | 1 | 0 | 3 | 1 | 4 | 1 | 3 | 0 | 1 | 1 | 17,213 |
1,972 | 53 | 1 | 3 | 6 | 3 | 1 | 2 | 3 | 1 | 5 | 3 | 1 | 0 | 1 | 1 | 1 | 2 | 23,381 |
3,512 | 29 | 0 | 1 | 9 | 3 | 2 | 3 | 5 | 0 | 5 | 2 | 2 | 0 | 4 | 0 | 1 | 1 | 21,239 |
4,405 | 44 | 0 | 1 | 16 | 3 | 2 | 4 | 4 | 1 | 3 | 1 | 5 | 1 | 3 | 1 | 3 | 2 | 24,357 |
2,942 | 23 | 1 | 1 | 13 | 3 | 2 | 4 | 4 | 0 | 3 | 0 | 2 | 0 | 2 | 1 | 1 | 1 | 21,451 |
3,268 | 43 | 1 | 1 | 36 | 3 | 2 | 3 | 6 | 1 | 3 | 3 | 6 | 0 | 3 | 1 | 1 | 2 | 22,950 |
2,180 | 33 | 0 | 3 | 23 | 2 | 2 | 2 | 3 | 4 | 3 | 2 | 2 | 0 | 3 | 1 | 0 | 0 | 32,444 |
4,272 | 37 | 0 | 3 | 7 | 3 | 0 | 3 | 4 | 1 | 3 | 3 | 6 | 0 | 1 | 1 | 2 | 2 | 25,331 |
1,432 | 37 | 1 | 1 | 16 | 2 | 1 | 2 | 1 | 3 | 3 | 1 | 2 | 1 | 1 | 0 | 1 | 3 | 28,744 |
4,241 | 40 | 1 | 3 | 10 | 3 | 1 | 3 | 4 | 1 | 3 | 1 | 6 | 1 | 4 | 1 | 2 | 2 | 23,916 |
4,510 | 36 | 1 | 1 | 7 | 2 | 1 | 3 | 2 | 0 | 3 | 2 | 5 | 0 | 3 | 1 | 2 | 1 | 21,184 |
3,636 | 50 | 1 | 1 | 23 | 3 | 1 | 4 | 4 | 0 | 5 | 1 | 6 | 1 | 1 | 1 | 2 | 1 | 21,265 |
1,827 | 21 | 0 | 3 | 6 | 1 | 1 | 3 | 4 | 0 | 4 | 2 | 2 | 1 | 5 | 1 | 2 | 1 | 17,174 |
4,816 | 28 | 1 | 3 | 9 | 3 | 1 | 4 | 6 | 2 | 4 | 2 | 4 | 1 | 5 | 1 | 2 | 4 | 21,195 |
2,657 | 52 | 1 | 1 | 15 | 2 | 2 | 3 | 5 | 3 | 4 | 0 | 7 | 0 | 3 | 1 | 2 | 3 | 31,168 |
2,416 | 40 | 1 | 1 | 14 | 3 | 2 | 3 | 4 | 0 | 3 | 3 | 2 | 1 | 4 | 1 | 2 | 1 | 24,094 |
2,322 | 29 | 1 | 1 | 12 | 3 | 1 | 2 | 3 | 0 | 3 | 1 | 2 | 0 | 3 | 0 | 1 | 1 | 18,131 |
53 | 35 | 0 | 1 | 17 | 3 | 2 | 3 | 4 | 3 | 5 | 0 | 3 | 1 | 5 | 1 | 1 | 3 | 24,884 |
4,187 | 38 | 1 | 3 | 13 | 3 | 2 | 4 | 4 | 1 | 3 | 1 | 6 | 0 | 3 | 1 | 1 | 2 | 25,180 |
110 | 51 | 0 | 1 | 6 | 3 | 1 | 1 | 4 | 3 | 5 | 3 | 4 | 0 | 2 | 1 | 0 | 3 | 22,484 |
4,276 | 22 | 0 | 3 | 16 | 3 | 2 | 3 | 4 | 0 | 3 | 3 | 3 | 0 | 4 | 1 | 1 | 1 | 21,288 |
2,069 | 36 | 1 | 2 | 19 | 2 | 2 | 2 | 3 | 0 | 4 | 1 | 5 | 0 | 3 | 1 | 1 | 1 | 17,143 |
2,365 | 31 | 1 | 1 | 17 | 3 | 2 | 3 | 3 | 1 | 5 | 1 | 2 | 1 | 1 | 1 | 1 | 2 | 21,833 |
3,837 | 28 | 1 | 3 | 16 | 3 | 2 | 3 | 4 | 1 | 3 | 3 | 3 | 0 | 1 | 0 | 2 | 2 | 22,783 |
4,230 | 50 | 1 | 1 | 7 | 1 | 1 | 3 | 5 | 4 | 3 | 2 | 2 | 1 | 3 | 0 | 1 | 0 | 32,642 |
4,747 | 28 | 1 | 1 | 13 | 2 | 2 | 3 | 5 | 0 | 3 | 1 | 3 | 0 | 1 | 1 | 2 | 1 | 21,217 |
1,229 | 40 | 1 | 1 | 14 | 2 | 1 | 3 | 3 | 1 | 5 | 1 | 3 | 1 | 1 | 0 | 0 | 2 | 21,516 |
252 | 29 | 1 | 1 | 21 | 2 | 2 | 2 | 3 | 0 | 3 | 2 | 2 | 0 | 3 | 0 | 0 | 1 | 17,340 |
3,728 | 40 | 1 | 1 | 17 | 3 | 2 | 4 | 4 | 3 | 3 | 2 | 2 | 0 | 3 | 1 | 1 | 3 | 32,142 |
3,365 | 29 | 0 | 1 | 7 | 3 | 2 | 3 | 4 | 0 | 3 | 2 | 2 | 1 | 4 | 0 | 1 | 1 | 20,832 |
4,800 | 31 | 1 | 1 | 8 | 3 | 2 | 4 | 4 | 0 | 4 | 1 | 2 | 1 | 4 | 1 | 3 | 1 | 22,257 |
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