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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 ({'MonthlyIncome', 'NumberOfChildrenVisiting', 'NumberOfPersonVisiting', 'DurationOfPitch', 'CityTier', 'MaritalStatus', 'Age', 'Designation', 'PitchSatisfactionScore', 'TypeofContact', 'Occupation', 'Unnamed: 0', 'OwnCar', 'Passport', 'NumberOfTrips', 'Gender', 'ProductPitched', 'NumberOfFollowups', 'PreferredPropertyStar'}).
This happened while the csv dataset builder was generating data using
hf://datasets/SantoshS23/TourismPackage/y_train.csv (at revision f9c8022c522e18e34231519d08d7f6bfc13c6c58), [/tmp/hf-datasets-cache/medium/datasets/28381836890539-config-parquet-and-info-SantoshS23-TourismPackage-8d58c6e3/hub/datasets--SantoshS23--TourismPackage/snapshots/f9c8022c522e18e34231519d08d7f6bfc13c6c58/X_train.csv (origin=hf://datasets/SantoshS23/TourismPackage@f9c8022c522e18e34231519d08d7f6bfc13c6c58/X_train.csv), /tmp/hf-datasets-cache/medium/datasets/28381836890539-config-parquet-and-info-SantoshS23-TourismPackage-8d58c6e3/hub/datasets--SantoshS23--TourismPackage/snapshots/f9c8022c522e18e34231519d08d7f6bfc13c6c58/y_train.csv (origin=hf://datasets/SantoshS23/TourismPackage@f9c8022c522e18e34231519d08d7f6bfc13c6c58/y_train.csv)]
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 1887, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 674, 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 1347, 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 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1736, 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 1889, 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 ({'MonthlyIncome', 'NumberOfChildrenVisiting', 'NumberOfPersonVisiting', 'DurationOfPitch', 'CityTier', 'MaritalStatus', 'Age', 'Designation', 'PitchSatisfactionScore', 'TypeofContact', 'Occupation', 'Unnamed: 0', 'OwnCar', 'Passport', 'NumberOfTrips', 'Gender', 'ProductPitched', 'NumberOfFollowups', 'PreferredPropertyStar'}).
This happened while the csv dataset builder was generating data using
hf://datasets/SantoshS23/TourismPackage/y_train.csv (at revision f9c8022c522e18e34231519d08d7f6bfc13c6c58), [/tmp/hf-datasets-cache/medium/datasets/28381836890539-config-parquet-and-info-SantoshS23-TourismPackage-8d58c6e3/hub/datasets--SantoshS23--TourismPackage/snapshots/f9c8022c522e18e34231519d08d7f6bfc13c6c58/X_train.csv (origin=hf://datasets/SantoshS23/TourismPackage@f9c8022c522e18e34231519d08d7f6bfc13c6c58/X_train.csv), /tmp/hf-datasets-cache/medium/datasets/28381836890539-config-parquet-and-info-SantoshS23-TourismPackage-8d58c6e3/hub/datasets--SantoshS23--TourismPackage/snapshots/f9c8022c522e18e34231519d08d7f6bfc13c6c58/y_train.csv (origin=hf://datasets/SantoshS23/TourismPackage@f9c8022c522e18e34231519d08d7f6bfc13c6c58/y_train.csv)]
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1,923 | 26 | 0 | 2 | 23 | 2 | 1 | 2 | 3 | 0 | 3 | 1 | 1 | 1 | 5 | 0 | 1 | 1 | 17,741 |
597 | 42 | 1 | 1 | 6 | 2 | 1 | 2 | 4 | 1 | 3 | 0 | 1 | 1 | 3 | 0 | 1 | 2 | 21,062 |
4,701 | 56 | 0 | 1 | 9 | 2 | 2 | 4 | 4 | 3 | 4 | 1 | 5 | 0 | 1 | 0 | 2 | 3 | 29,654 |
4,662 | 27 | 0 | 3 | 36 | 3 | 2 | 4 | 6 | 1 | 5 | 3 | 2 | 0 | 3 | 1 | 2 | 2 | 23,647 |
2,821 | 37 | 1 | 1 | 9 | 2 | 1 | 4 | 4 | 0 | 3 | 0 | 6 | 0 | 5 | 1 | 1 | 1 | 21,221 |
2,420 | 31 | 1 | 2 | 28 | 2 | 2 | 2 | 5 | 0 | 3 | 1 | 2 | 0 | 1 | 0 | 1 | 1 | 24,852 |
1,468 | 49 | 0 | 3 | 8 | 3 | 2 | 3 | 4 | 1 | 4 | 1 | 3 | 0 | 3 | 1 | 2 | 2 | 20,390 |
1,785 | 43 | 0 | 1 | 16 | 2 | 1 | 2 | 3 | 0 | 3 | 2 | 1 | 0 | 5 | 0 | 0 | 1 | 17,455 |
4,619 | 40 | 1 | 3 | 9 | 2 | 2 | 3 | 2 | 3 | 3 | 3 | 2 | 0 | 1 | 0 | 1 | 3 | 26,558 |
2,607 | 58 | 1 | 1 | 31 | 2 | 2 | 3 | 3 | 3 | 3 | 1 | 5 | 1 | 4 | 1 | 2 | 3 | 28,117 |
2,727 | 56 | 1 | 1 | 27 | 1 | 2 | 3 | 4 | 1 | 3 | 0 | 5 | 1 | 2 | 1 | 2 | 2 | 24,093 |
401 | 56 | 0 | 3 | 12 | 2 | 1 | 2 | 2 | 4 | 5 | 0 | 1 | 0 | 3 | 1 | 0 | 0 | 28,212 |
4,876 | 52 | 1 | 3 | 34 | 2 | 2 | 3 | 4 | 1 | 3 | 2 | 3 | 1 | 5 | 1 | 2 | 2 | 32,704 |
2,352 | 36 | 1 | 1 | 7 | 1 | 1 | 3 | 5 | 3 | 5 | 1 | 3 | 1 | 1 | 1 | 0 | 3 | 25,252 |
586 | 24 | 0 | 1 | 15 | 2 | 2 | 2 | 4 | 0 | 4 | 1 | 2 | 0 | 5 | 1 | 0 | 1 | 17,694 |
702 | 30 | 1 | 3 | 14 | 2 | 2 | 3 | 3 | 3 | 3 | 1 | 6 | 0 | 3 | 1 | 0 | 3 | 22,264 |
2,404 | 25 | 1 | 1 | 15 | 2 | 2 | 2 | 3 | 0 | 5 | 2 | 4 | 0 | 1 | 1 | 0 | 1 | 17,096 |
3,462 | 37 | 1 | 1 | 11 | 2 | 2 | 3 | 5 | 1 | 3 | 3 | 3 | 0 | 5 | 1 | 2 | 2 | 24,488 |
1,983 | 20 | 1 | 1 | 16 | 3 | 2 | 2 | 3 | 0 | 3 | 2 | 2 | 1 | 5 | 1 | 1 | 1 | 16,009 |
3,370 | 44 | 1 | 3 | 11 | 3 | 1 | 3 | 5 | 3 | 3 | 2 | 5 | 0 | 3 | 1 | 1 | 3 | 28,909 |
4,573 | 29 | 1 | 3 | 12 | 3 | 2 | 4 | 4 | 1 | 3 | 3 | 3 | 0 | 3 | 0 | 2 | 2 | 23,586 |
4,525 | 36 | 1 | 1 | 14 | 2 | 2 | 3 | 4 | 3 | 3 | 2 | 5 | 0 | 3 | 0 | 2 | 3 | 28,899 |
3,180 | 49 | 1 | 1 | 11 | 2 | 2 | 4 | 5 | 3 | 3 | 2 | 2 | 0 | 5 | 1 | 2 | 3 | 29,677 |
74 | 36 | 1 | 1 | 12 | 2 | 1 | 2 | 2 | 1 | 3 | 0 | 4 | 0 | 2 | 0 | 0 | 2 | 18,038 |
4,301 | 41 | 1 | 3 | 9 | 3 | 1 | 3 | 4 | 1 | 4 | 1 | 2 | 0 | 1 | 0 | 1 | 2 | 24,393 |
3,099 | 34 | 1 | 2 | 10 | 2 | 2 | 3 | 4 | 0 | 4 | 1 | 5 | 1 | 5 | 0 | 2 | 1 | 20,955 |
2,726 | 30 | 0 | 3 | 9 | 2 | 2 | 3 | 4 | 1 | 3 | 3 | 3 | 0 | 2 | 0 | 1 | 2 | 23,232 |
311 | 45 | 0 | 1 | 13 | 2 | 2 | 3 | 3 | 3 | 5 | 1 | 2 | 0 | 2 | 1 | 2 | 3 | 20,210 |
4,197 | 56 | 1 | 1 | 27 | 1 | 2 | 3 | 4 | 1 | 3 | 1 | 5 | 1 | 1 | 0 | 1 | 2 | 24,093 |
2,197 | 18 | 0 | 1 | 11 | 2 | 2 | 3 | 3 | 0 | 3 | 2 | 2 | 0 | 1 | 0 | 1 | 1 | 16,051 |
4,218 | 40 | 1 | 1 | 7 | 3 | 2 | 3 | 2 | 3 | 3 | 1 | 2 | 0 | 3 | 1 | 1 | 3 | 28,291 |
2,032 | 33 | 1 | 1 | 6 | 2 | 2 | 3 | 3 | 0 | 3 | 2 | 2 | 1 | 3 | 1 | 0 | 1 | 17,686 |
4,252 | 31 | 1 | 3 | 12 | 3 | 1 | 2 | 5 | 1 | 3 | 1 | 3 | 0 | 1 | 1 | 1 | 2 | 24,796 |
3,271 | 29 | 0 | 1 | 13 | 2 | 2 | 3 | 5 | 0 | 3 | 1 | 3 | 1 | 4 | 1 | 1 | 1 | 21,381 |
2,332 | 44 | 0 | 1 | 23 | 2 | 2 | 3 | 5 | 0 | 3 | 2 | 3 | 0 | 4 | 1 | 1 | 1 | 17,290 |
83 | 38 | 0 | 1 | 12 | 3 | 1 | 3 | 5 | 1 | 3 | 1 | 1 | 1 | 2 | 0 | 2 | 2 | 20,329 |
2,222 | 36 | 1 | 1 | 22 | 2 | 1 | 2 | 1 | 0 | 5 | 2 | 2 | 0 | 1 | 1 | 0 | 1 | 17,743 |
1,907 | 30 | 1 | 3 | 13 | 3 | 2 | 2 | 3 | 0 | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 1 | 17,983 |
273 | 37 | 1 | 3 | 12 | 3 | 2 | 3 | 3 | 1 | 3 | 0 | 5 | 0 | 3 | 0 | 0 | 2 | 21,502 |
4,266 | 49 | 1 | 3 | 36 | 3 | 1 | 4 | 4 | 3 | 3 | 1 | 5 | 0 | 4 | 0 | 2 | 3 | 31,182 |
3,857 | 26 | 1 | 1 | 9 | 2 | 2 | 3 | 4 | 0 | 3 | 1 | 8 | 1 | 5 | 0 | 1 | 1 | 22,655 |
3,503 | 36 | 1 | 3 | 14 | 2 | 2 | 4 | 4 | 0 | 3 | 0 | 3 | 0 | 3 | 1 | 1 | 1 | 21,082 |
2,505 | 39 | 0 | 1 | 36 | 2 | 1 | 3 | 4 | 1 | 3 | 2 | 3 | 0 | 3 | 1 | 1 | 2 | 21,084 |
1,985 | 35 | 0 | 1 | 9 | 2 | 2 | 2 | 4 | 0 | 3 | 1 | 2 | 0 | 1 | 1 | 1 | 1 | 16,281 |
110 | 51 | 0 | 1 | 6 | 3 | 1 | 1 | 4 | 3 | 5 | 3 | 4 | 0 | 2 | 1 | 0 | 3 | 22,484 |
1,956 | 37 | 1 | 3 | 8 | 3 | 2 | 3 | 3 | 1 | 3 | 1 | 5 | 1 | 3 | 0 | 2 | 2 | 24,602 |
4,529 | 28 | 0 | 1 | 10 | 3 | 2 | 3 | 4 | 0 | 3 | 1 | 3 | 0 | 1 | 0 | 1 | 1 | 20,384 |
2,358 | 35 | 0 | 3 | 14 | 3 | 1 | 3 | 4 | 3 | 3 | 1 | 5 | 1 | 5 | 1 | 2 | 3 | 25,377 |
3,585 | 31 | 1 | 1 | 14 | 3 | 2 | 3 | 5 | 0 | 4 | 1 | 3 | 0 | 5 | 0 | 1 | 1 | 20,819 |
1,312 | 31 | 1 | 2 | 24 | 2 | 2 | 2 | 1 | 0 | 5 | 1 | 1 | 0 | 1 | 1 | 0 | 1 | 17,956 |
3,694 | 30 | 0 | 1 | 7 | 2 | 2 | 4 | 2 | 1 | 3 | 3 | 2 | 1 | 3 | 0 | 2 | 2 | 24,972 |
1,908 | 35 | 1 | 1 | 22 | 2 | 2 | 3 | 3 | 3 | 3 | 1 | 5 | 1 | 1 | 0 | 0 | 3 | 22,632 |
4,132 | 46 | 0 | 3 | 13 | 3 | 0 | 3 | 5 | 3 | 3 | 3 | 8 | 0 | 4 | 1 | 1 | 3 | 27,543 |
4,790 | 21 | 1 | 3 | 28 | 3 | 2 | 3 | 2 | 0 | 3 | 3 | 3 | 0 | 3 | 1 | 2 | 1 | 21,356 |
545 | 30 | 1 | 3 | 33 | 3 | 2 | 2 | 3 | 1 | 3 | 1 | 1 | 0 | 3 | 1 | 0 | 2 | 20,304 |
4,273 | 37 | 0 | 3 | 10 | 3 | 2 | 3 | 5 | 3 | 3 | 1 | 6 | 0 | 1 | 0 | 1 | 3 | 28,377 |
4,458 | 48 | 0 | 3 | 10 | 3 | 1 | 3 | 4 | 4 | 3 | 1 | 2 | 1 | 5 | 1 | 1 | 0 | 32,448 |
3,868 | 36 | 1 | 1 | 16 | 3 | 2 | 3 | 4 | 1 | 3 | 3 | 3 | 0 | 4 | 0 | 2 | 2 | 23,776 |
1,377 | 49 | 0 | 1 | 8 | 2 | 2 | 2 | 3 | 2 | 3 | 1 | 4 | 0 | 3 | 1 | 0 | 4 | 34,161 |
2,164 | 33 | 1 | 1 | 6 | 2 | 1 | 2 | 4 | 1 | 3 | 3 | 1 | 0 | 4 | 1 | 1 | 2 | 21,949 |
2,593 | 20 | 1 | 1 | 10 | 3 | 1 | 4 | 4 | 0 | 4 | 2 | 3 | 0 | 3 | 1 | 3 | 1 | 20,161 |
4,559 | 30 | 1 | 3 | 7 | 3 | 1 | 3 | 5 | 0 | 3 | 1 | 8 | 1 | 1 | 1 | 2 | 1 | 21,478 |
2,710 | 32 | 1 | 1 | 30 | 3 | 2 | 4 | 5 | 1 | 3 | 0 | 2 | 0 | 3 | 1 | 2 | 2 | 24,260 |
2,065 | 58 | 1 | 1 | 8 | 2 | 2 | 2 | 3 | 2 | 4 | 2 | 1 | 1 | 3 | 1 | 0 | 4 | 34,246 |
3,373 | 29 | 0 | 1 | 9 | 2 | 2 | 3 | 5 | 0 | 3 | 0 | 3 | 1 | 4 | 1 | 1 | 1 | 22,545 |
4,083 | 33 | 1 | 1 | 13 | 2 | 2 | 3 | 4 | 0 | 3 | 3 | 5 | 0 | 1 | 0 | 2 | 1 | 21,716 |
1,621 | 35 | 1 | 3 | 6 | 3 | 2 | 3 | 3 | 3 | 4 | 1 | 2 | 0 | 4 | 0 | 0 | 3 | 22,295 |
1,911 | 42 | 0 | 1 | 11 | 2 | 2 | 3 | 3 | 0 | 3 | 1 | 5 | 0 | 3 | 0 | 1 | 1 | 17,093 |
348 | 42 | 1 | 1 | 29 | 2 | 1 | 2 | 3 | 4 | 3 | 2 | 3 | 0 | 3 | 0 | 0 | 0 | 30,992 |
901 | 48 | 1 | 1 | 8 | 1 | 2 | 3 | 1 | 0 | 4 | 2 | 6 | 0 | 2 | 0 | 2 | 1 | 17,559 |
339 | 27 | 1 | 3 | 14 | 3 | 1 | 2 | 3 | 1 | 4 | 0 | 2 | 0 | 2 | 0 | 0 | 2 | 21,214 |
2,940 | 22 | 1 | 3 | 29 | 1 | 2 | 3 | 4 | 0 | 3 | 3 | 3 | 0 | 2 | 1 | 2 | 1 | 22,125 |
780 | 28 | 0 | 1 | 30 | 1 | 2 | 3 | 4 | 3 | 5 | 3 | 2 | 0 | 2 | 0 | 0 | 3 | 23,722 |
2,830 | 38 | 1 | 1 | 21 | 2 | 1 | 4 | 4 | 0 | 5 | 1 | 3 | 0 | 4 | 1 | 1 | 1 | 21,712 |
1,515 | 41 | 1 | 1 | 18 | 1 | 1 | 2 | 3 | 2 | 3 | 1 | 2 | 0 | 4 | 1 | 1 | 4 | 34,545 |
2,191 | 50 | 1 | 1 | 30 | 2 | 2 | 3 | 3 | 4 | 3 | 1 | 4 | 1 | 4 | 1 | 2 | 0 | 28,973 |
4,671 | 35 | 1 | 3 | 7 | 3 | 2 | 4 | 2 | 1 | 3 | 1 | 2 | 0 | 5 | 0 | 2 | 2 | 28,403 |
3,175 | 21 | 1 | 1 | 18 | 3 | 1 | 4 | 5 | 0 | 5 | 3 | 3 | 1 | 3 | 0 | 2 | 1 | 21,278 |
1,504 | 24 | 1 | 1 | 6 | 3 | 2 | 3 | 3 | 0 | 3 | 1 | 3 | 1 | 3 | 0 | 2 | 1 | 17,293 |
1,845 | 49 | 1 | 1 | 13 | 2 | 2 | 2 | 4 | 3 | 3 | 3 | 1 | 0 | 1 | 1 | 0 | 3 | 25,965 |
529 | 38 | 1 | 1 | 6 | 2 | 1 | 2 | 2 | 1 | 3 | 3 | 1 | 0 | 2 | 1 | 1 | 2 | 22,625 |
4,501 | 53 | 1 | 1 | 18 | 2 | 1 | 3 | 4 | 1 | 3 | 1 | 2 | 0 | 1 | 1 | 1 | 2 | 21,827 |
3,696 | 35 | 1 | 1 | 9 | 3 | 2 | 4 | 2 | 0 | 3 | 1 | 2 | 1 | 1 | 0 | 2 | 1 | 21,610 |
3,968 | 27 | 1 | 3 | 30 | 3 | 1 | 3 | 5 | 1 | 3 | 1 | 2 | 1 | 1 | 0 | 1 | 2 | 22,835 |
635 | 35 | 1 | 1 | 15 | 2 | 1 | 3 | 4 | 3 | 3 | 0 | 2 | 1 | 4 | 1 | 1 | 3 | 25,685 |
3,230 | 28 | 0 | 1 | 15 | 2 | 2 | 3 | 6 | 0 | 3 | 0 | 3 | 0 | 2 | 1 | 2 | 1 | 23,299 |
2,317 | 34 | 0 | 1 | 7 | 3 | 2 | 3 | 4 | 1 | 5 | 2 | 1 | 0 | 1 | 0 | 0 | 2 | 20,343 |
4,416 | 54 | 1 | 3 | 7 | 3 | 0 | 3 | 4 | 1 | 5 | 3 | 2 | 0 | 1 | 1 | 2 | 2 | 27,059 |
1,579 | 22 | 1 | 1 | 21 | 3 | 1 | 2 | 3 | 0 | 3 | 2 | 2 | 0 | 1 | 1 | 1 | 1 | 17,871 |
3,209 | 39 | 0 | 1 | 10 | 2 | 2 | 3 | 4 | 0 | 3 | 0 | 5 | 0 | 3 | 1 | 2 | 1 | 21,499 |
1,075 | 32 | 1 | 1 | 16 | 3 | 2 | 1 | 3 | 3 | 3 | 3 | 3 | 0 | 1 | 0 | 0 | 3 | 26,244 |
626 | 32 | 1 | 1 | 14 | 3 | 1 | 3 | 1 | 1 | 3 | 0 | 6 | 0 | 3 | 1 | 2 | 2 | 20,175 |
3,565 | 37 | 1 | 3 | 7 | 2 | 0 | 4 | 4 | 1 | 3 | 3 | 8 | 0 | 1 | 1 | 2 | 2 | 25,493 |
3,546 | 37 | 1 | 3 | 9 | 2 | 2 | 4 | 4 | 0 | 3 | 3 | 5 | 1 | 3 | 0 | 1 | 1 | 21,322 |
687 | 36 | 1 | 1 | 8 | 3 | 2 | 3 | 3 | 0 | 3 | 2 | 5 | 0 | 5 | 1 | 0 | 1 | 17,519 |
697 | 29 | 0 | 3 | 26 | 1 | 1 | 2 | 3 | 0 | 3 | 0 | 2 | 0 | 3 | 0 | 1 | 1 | 17,157 |
1,743 | 37 | 1 | 3 | 12 | 3 | 2 | 3 | 3 | 1 | 3 | 1 | 5 | 0 | 3 | 1 | 0 | 2 | 21,502 |
2,184 | 50 | 1 | 1 | 6 | 3 | 2 | 3 | 3 | 4 | 3 | 1 | 1 | 0 | 5 | 0 | 2 | 0 | 32,399 |
758 | 59 | 1 | 3 | 6 | 1 | 2 | 3 | 3 | 3 | 3 | 0 | 4 | 1 | 2 | 0 | 1 | 3 | 26,904 |
551 | 39 | 1 | 2 | 9 | 2 | 1 | 2 | 2 | 1 | 4 | 0 | 1 | 0 | 2 | 1 | 0 | 2 | 21,389 |
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