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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 ({'NumberOfTrips', 'NumberOfFollowups', 'DurationOfPitch', 'Gender', 'TypeofContact', 'MaritalStatus', 'NumberOfChildrenVisiting', 'NumberOfPersonVisiting', 'Occupation', 'OwnCar', 'Unnamed: 0', 'MonthlyIncome', 'PreferredPropertyStar', 'Age', 'PitchSatisfactionScore', 'CityTier', 'Designation', 'ProductPitched', 'Passport'}).
This happened while the csv dataset builder was generating data using
hf://datasets/dvsreddy/tourism-package-dataset/processed/y_train.csv (at revision 78a7df0200baee8a1938d866fcc4f9475ccf7f43), [/tmp/hf-datasets-cache/medium/datasets/24499545020617-config-parquet-and-info-dvsreddy-tourism-package--e92bc9bc/hub/datasets--dvsreddy--tourism-package-dataset/snapshots/78a7df0200baee8a1938d866fcc4f9475ccf7f43/processed/X_train.csv (origin=hf://datasets/dvsreddy/tourism-package-dataset@78a7df0200baee8a1938d866fcc4f9475ccf7f43/processed/X_train.csv), /tmp/hf-datasets-cache/medium/datasets/24499545020617-config-parquet-and-info-dvsreddy-tourism-package--e92bc9bc/hub/datasets--dvsreddy--tourism-package-dataset/snapshots/78a7df0200baee8a1938d866fcc4f9475ccf7f43/processed/y_train.csv (origin=hf://datasets/dvsreddy/tourism-package-dataset@78a7df0200baee8a1938d866fcc4f9475ccf7f43/processed/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 1800, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, 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 882, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, 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 1802, 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 ({'NumberOfTrips', 'NumberOfFollowups', 'DurationOfPitch', 'Gender', 'TypeofContact', 'MaritalStatus', 'NumberOfChildrenVisiting', 'NumberOfPersonVisiting', 'Occupation', 'OwnCar', 'Unnamed: 0', 'MonthlyIncome', 'PreferredPropertyStar', 'Age', 'PitchSatisfactionScore', 'CityTier', 'Designation', 'ProductPitched', 'Passport'}).
This happened while the csv dataset builder was generating data using
hf://datasets/dvsreddy/tourism-package-dataset/processed/y_train.csv (at revision 78a7df0200baee8a1938d866fcc4f9475ccf7f43), [/tmp/hf-datasets-cache/medium/datasets/24499545020617-config-parquet-and-info-dvsreddy-tourism-package--e92bc9bc/hub/datasets--dvsreddy--tourism-package-dataset/snapshots/78a7df0200baee8a1938d866fcc4f9475ccf7f43/processed/X_train.csv (origin=hf://datasets/dvsreddy/tourism-package-dataset@78a7df0200baee8a1938d866fcc4f9475ccf7f43/processed/X_train.csv), /tmp/hf-datasets-cache/medium/datasets/24499545020617-config-parquet-and-info-dvsreddy-tourism-package--e92bc9bc/hub/datasets--dvsreddy--tourism-package-dataset/snapshots/78a7df0200baee8a1938d866fcc4f9475ccf7f43/processed/y_train.csv (origin=hf://datasets/dvsreddy/tourism-package-dataset@78a7df0200baee8a1938d866fcc4f9475ccf7f43/processed/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1,249 | 29 | 1 | 3 | 15 | 3 | 1 | 2 | 5 | 0 | 4 | 2 | 2 | 0 | 1 | 1 | 1 | 1 | 17,760 |
3,230 | 28 | 0 | 1 | 15 | 2 | 2 | 3 | 6 | 0 | 3 | 0 | 3 | 0 | 2 | 1 | 2 | 1 | 23,299 |
791 | 35 | 1 | 3 | 10 | 1 | 2 | 2 | 3 | 3 | 5 | 3 | 1 | 1 | 4 | 1 | 1 | 3 | 24,582 |
1,190 | 32 | 1 | 1 | 8 | 3 | 2 | 2 | 3 | 1 | 4 | 1 | 1 | 0 | 4 | 0 | 1 | 2 | 20,470 |
3,788 | 38 | 1 | 1 | 14 | 3 | 2 | 4 | 4 | 1 | 5 | 1 | 7 | 1 | 3 | 0 | 1 | 2 | 22,962 |
753 | 39 | 0 | 1 | 28 | 3 | 0 | 2 | 3 | 3 | 5 | 3 | 2 | 1 | 5 | 1 | 0 | 3 | 25,880 |
1,281 | 35 | 1 | 3 | 33 | 2 | 2 | 2 | 3 | 1 | 3 | 2 | 2 | 1 | 5 | 0 | 0 | 2 | 20,813 |
325 | 31 | 0 | 1 | 13 | 2 | 1 | 2 | 4 | 3 | 3 | 0 | 2 | 0 | 2 | 1 | 1 | 3 | 23,943 |
3,848 | 43 | 0 | 1 | 30 | 2 | 2 | 3 | 5 | 1 | 3 | 3 | 3 | 0 | 3 | 1 | 2 | 2 | 23,010 |
1,387 | 29 | 1 | 1 | 6 | 2 | 2 | 2 | 3 | 1 | 5 | 1 | 1 | 0 | 3 | 1 | 0 | 2 | 20,373 |
2,164 | 33 | 1 | 1 | 6 | 2 | 1 | 2 | 4 | 1 | 3 | 3 | 1 | 0 | 4 | 1 | 1 | 2 | 21,949 |
4,358 | 49 | 1 | 3 | 9 | 3 | 1 | 3 | 4 | 1 | 3 | 1 | 4 | 0 | 5 | 1 | 1 | 2 | 22,729 |
1,518 | 46 | 0 | 3 | 11 | 3 | 2 | 3 | 3 | 1 | 3 | 2 | 5 | 1 | 5 | 1 | 1 | 2 | 20,772 |
4,581 | 42 | 1 | 1 | 9 | 2 | 1 | 3 | 6 | 0 | 3 | 1 | 6 | 1 | 3 | 0 | 2 | 1 | 21,456 |
4,310 | 44 | 1 | 1 | 15 | 2 | 1 | 4 | 4 | 1 | 3 | 1 | 6 | 1 | 1 | 1 | 1 | 2 | 23,200 |
887 | 42 | 0 | 1 | 32 | 3 | 1 | 2 | 3 | 3 | 5 | 0 | 4 | 1 | 3 | 0 | 1 | 3 | 28,191 |
235 | 43 | 1 | 3 | 22 | 3 | 1 | 3 | 3 | 4 | 3 | 0 | 6 | 1 | 3 | 0 | 1 | 0 | 31,064 |
616 | 51 | 1 | 3 | 32 | 3 | 1 | 3 | 3 | 4 | 3 | 0 | 3 | 0 | 3 | 0 | 1 | 0 | 31,307 |
3,829 | 35 | 1 | 3 | 20 | 3 | 2 | 3 | 4 | 3 | 3 | 1 | 3 | 0 | 1 | 1 | 2 | 3 | 27,306 |
549 | 34 | 1 | 1 | 14 | 3 | 1 | 3 | 3 | 1 | 3 | 2 | 4 | 0 | 4 | 1 | 1 | 2 | 21,142 |
2,829 | 31 | 0 | 1 | 11 | 1 | 2 | 3 | 4 | 0 | 3 | 2 | 20 | 1 | 4 | 1 | 2 | 1 | 20,963 |
707 | 47 | 0 | 1 | 22 | 3 | 2 | 3 | 1 | 1 | 3 | 1 | 2 | 1 | 2 | 0 | 0 | 2 | 20,067 |
1,342 | 34 | 1 | 3 | 10 | 2 | 2 | 3 | 3 | 3 | 3 | 1 | 3 | 1 | 4 | 0 | 2 | 3 | 24,713 |
1,853 | 22 | 1 | 1 | 17 | 3 | 1 | 2 | 3 | 0 | 4 | 1 | 2 | 0 | 1 | 1 | 1 | 1 | 17,244 |
393 | 34 | 0 | 3 | 10 | 3 | 1 | 3 | 3 | 1 | 3 | 0 | 1 | 0 | 2 | 1 | 0 | 2 | 21,538 |
3,303 | 30 | 1 | 1 | 22 | 2 | 1 | 4 | 6 | 0 | 3 | 0 | 2 | 1 | 5 | 1 | 1 | 1 | 20,846 |
2,793 | 30 | 0 | 3 | 9 | 2 | 2 | 4 | 4 | 1 | 3 | 0 | 3 | 0 | 2 | 1 | 2 | 2 | 23,327 |
2,920 | 25 | 1 | 1 | 24 | 2 | 2 | 4 | 5 | 0 | 4 | 0 | 3 | 0 | 3 | 1 | 2 | 1 | 20,805 |
1,501 | 44 | 1 | 1 | 16 | 2 | 2 | 2 | 3 | 1 | 3 | 1 | 3 | 1 | 3 | 0 | 1 | 2 | 21,465 |
2,405 | 32 | 0 | 1 | 9 | 2 | 1 | 2 | 3 | 0 | 3 | 2 | 2 | 0 | 4 | 1 | 0 | 1 | 21,209 |
992 | 39 | 0 | 1 | 31 | 2 | 2 | 3 | 3 | 3 | 3 | 0 | 4 | 0 | 1 | 0 | 0 | 3 | 25,920 |
2,204 | 22 | 1 | 1 | 14 | 2 | 2 | 3 | 5 | 0 | 5 | 1 | 2 | 0 | 1 | 0 | 1 | 1 | 17,451 |
3,375 | 31 | 0 | 1 | 16 | 3 | 1 | 4 | 4 | 1 | 3 | 3 | 2 | 1 | 3 | 1 | 3 | 2 | 23,373 |
3,676 | 36 | 1 | 1 | 34 | 2 | 2 | 3 | 4 | 1 | 3 | 1 | 4 | 0 | 5 | 0 | 2 | 2 | 25,561 |
4,766 | 30 | 1 | 1 | 13 | 3 | 1 | 3 | 4 | 0 | 3 | 1 | 3 | 0 | 3 | 0 | 2 | 1 | 21,809 |
3,980 | 37 | 0 | 1 | 18 | 2 | 2 | 4 | 5 | 1 | 4 | 3 | 3 | 0 | 4 | 1 | 2 | 2 | 25,177 |
428 | 47 | 1 | 1 | 8 | 3 | 1 | 3 | 3 | 1 | 3 | 1 | 6 | 0 | 2 | 0 | 1 | 2 | 20,070 |
2,703 | 32 | 0 | 1 | 36 | 3 | 2 | 4 | 5 | 0 | 4 | 3 | 2 | 0 | 3 | 1 | 3 | 1 | 22,157 |
1,439 | 36 | 1 | 3 | 9 | 3 | 1 | 3 | 4 | 3 | 3 | 1 | 1 | 0 | 3 | 1 | 0 | 3 | 22,644 |
4,863 | 40 | 1 | 3 | 14 | 2 | 2 | 4 | 4 | 0 | 3 | 1 | 3 | 1 | 1 | 1 | 3 | 1 | 23,212 |
4,303 | 38 | 1 | 1 | 17 | 2 | 2 | 3 | 4 | 1 | 4 | 3 | 4 | 1 | 5 | 0 | 2 | 2 | 22,875 |
3,836 | 36 | 1 | 3 | 14 | 2 | 1 | 3 | 4 | 1 | 3 | 1 | 3 | 1 | 4 | 1 | 2 | 2 | 23,882 |
2,876 | 35 | 1 | 1 | 9 | 2 | 2 | 4 | 5 | 0 | 3 | 1 | 5 | 0 | 5 | 1 | 1 | 1 | 21,446 |
3,778 | 28 | 0 | 1 | 22 | 2 | 1 | 4 | 5 | 0 | 5 | 1 | 2 | 0 | 4 | 1 | 1 | 1 | 23,452 |
1,083 | 40 | 1 | 1 | 15 | 2 | 2 | 2 | 3 | 0 | 5 | 2 | 4 | 0 | 1 | 1 | 1 | 1 | 17,018 |
4,494 | 36 | 1 | 3 | 15 | 2 | 1 | 4 | 4 | 0 | 3 | 1 | 3 | 0 | 3 | 1 | 3 | 1 | 21,250 |
1,851 | 30 | 1 | 3 | 8 | 1 | 2 | 3 | 3 | 0 | 4 | 1 | 2 | 0 | 3 | 1 | 0 | 1 | 17,476 |
1,523 | 35 | 0 | 1 | 17 | 3 | 2 | 3 | 4 | 3 | 5 | 1 | 3 | 1 | 5 | 1 | 2 | 3 | 24,884 |
366 | 41 | 0 | 3 | 10 | 3 | 2 | 2 | 3 | 1 | 4 | 3 | 2 | 0 | 3 | 1 | 0 | 2 | 24,355 |
1,057 | 29 | 0 | 3 | 19 | 1 | 1 | 2 | 3 | 1 | 4 | 2 | 6 | 0 | 3 | 0 | 1 | 2 | 20,765 |
3,899 | 41 | 1 | 1 | 9 | 2 | 2 | 3 | 5 | 0 | 3 | 3 | 4 | 0 | 5 | 0 | 2 | 1 | 21,487 |
3,772 | 28 | 1 | 3 | 30 | 3 | 1 | 3 | 5 | 1 | 3 | 1 | 3 | 0 | 1 | 1 | 2 | 2 | 22,218 |
3,514 | 29 | 0 | 3 | 14 | 2 | 2 | 3 | 4 | 1 | 5 | 3 | 2 | 0 | 3 | 1 | 2 | 2 | 23,576 |
2,157 | 36 | 1 | 1 | 8 | 3 | 2 | 3 | 3 | 0 | 3 | 2 | 5 | 0 | 5 | 1 | 1 | 1 | 17,519 |
2,441 | 51 | 1 | 3 | 16 | 2 | 1 | 3 | 3 | 3 | 4 | 1 | 6 | 0 | 1 | 1 | 2 | 3 | 28,142 |
499 | 33 | 1 | 3 | 14 | 3 | 2 | 2 | 3 | 1 | 3 | 1 | 1 | 0 | 2 | 1 | 1 | 2 | 22,104 |
677 | 49 | 1 | 1 | 14 | 2 | 1 | 2 | 3 | 3 | 4 | 0 | 5 | 0 | 4 | 0 | 0 | 3 | 22,403 |
4,715 | 51 | 0 | 3 | 7 | 2 | 2 | 3 | 4 | 1 | 3 | 3 | 5 | 1 | 1 | 1 | 2 | 2 | 23,406 |
3,824 | 36 | 1 | 3 | 25 | 3 | 2 | 4 | 4 | 1 | 5 | 1 | 2 | 0 | 3 | 0 | 1 | 2 | 20,822 |
2,828 | 37 | 1 | 3 | 9 | 3 | 2 | 4 | 5 | 3 | 3 | 0 | 3 | 0 | 2 | 1 | 1 | 3 | 26,274 |
2,376 | 34 | 1 | 1 | 13 | 2 | 2 | 3 | 3 | 1 | 3 | 1 | 2 | 0 | 3 | 0 | 0 | 2 | 17,585 |
2,374 | 48 | 1 | 1 | 21 | 3 | 1 | 3 | 3 | 3 | 3 | 1 | 2 | 0 | 3 | 0 | 0 | 3 | 33,265 |
4,471 | 36 | 0 | 1 | 9 | 2 | 1 | 4 | 4 | 1 | 5 | 1 | 4 | 0 | 4 | 1 | 3 | 2 | 23,771 |
4,197 | 56 | 1 | 1 | 27 | 1 | 2 | 3 | 4 | 1 | 3 | 1 | 5 | 1 | 1 | 0 | 1 | 2 | 24,093 |
552 | 56 | 1 | 1 | 15 | 3 | 2 | 2 | 3 | 4 | 3 | 0 | 1 | 0 | 4 | 0 | 0 | 0 | 26,103 |
3,317 | 37 | 1 | 1 | 13 | 2 | 2 | 3 | 6 | 0 | 3 | 1 | 3 | 0 | 2 | 0 | 1 | 1 | 21,419 |
2,951 | 30 | 1 | 3 | 10 | 3 | 1 | 4 | 4 | 1 | 3 | 0 | 3 | 0 | 2 | 0 | 1 | 2 | 24,239 |
448 | 40 | 1 | 1 | 12 | 2 | 0 | 3 | 3 | 4 | 3 | 3 | 1 | 0 | 5 | 1 | 2 | 0 | 28,237 |
2,810 | 42 | 0 | 3 | 11 | 3 | 2 | 3 | 4 | 1 | 4 | 3 | 3 | 0 | 3 | 1 | 1 | 2 | 28,033 |
3,687 | 46 | 1 | 2 | 11 | 2 | 1 | 3 | 6 | 3 | 3 | 1 | 6 | 0 | 1 | 1 | 2 | 3 | 28,434 |
1,317 | 27 | 0 | 1 | 11 | 2 | 1 | 2 | 3 | 0 | 3 | 2 | 1 | 1 | 1 | 1 | 1 | 1 | 17,379 |
4,513 | 37 | 1 | 2 | 20 | 2 | 2 | 3 | 4 | 0 | 4 | 1 | 6 | 0 | 3 | 1 | 2 | 1 | 20,821 |
4,394 | 31 | 0 | 3 | 19 | 2 | 2 | 4 | 5 | 0 | 5 | 1 | 3 | 0 | 5 | 1 | 3 | 1 | 20,711 |
754 | 33 | 0 | 3 | 14 | 2 | 1 | 2 | 4 | 0 | 3 | 2 | 1 | 0 | 2 | 1 | 1 | 1 | 17,342 |
1,279 | 44 | 0 | 1 | 6 | 3 | 2 | 2 | 3 | 0 | 4 | 1 | 2 | 1 | 3 | 1 | 1 | 1 | 17,342 |
1,176 | 49 | 1 | 1 | 28 | 2 | 1 | 3 | 3 | 4 | 4 | 1 | 4 | 0 | 4 | 0 | 1 | 0 | 31,413 |
2,453 | 37 | 1 | 1 | 34 | 3 | 2 | 4 | 4 | 1 | 3 | 0 | 8 | 0 | 3 | 1 | 1 | 2 | 23,915 |
1,320 | 42 | 0 | 1 | 16 | 1 | 2 | 2 | 3 | 0 | 3 | 1 | 4 | 0 | 4 | 1 | 0 | 1 | 17,936 |
4,077 | 58 | 1 | 1 | 31 | 2 | 2 | 3 | 2 | 3 | 3 | 1 | 5 | 1 | 4 | 1 | 1 | 3 | 28,117 |
1,189 | 33 | 1 | 3 | 8 | 3 | 2 | 3 | 3 | 1 | 3 | 1 | 2 | 0 | 3 | 1 | 1 | 2 | 20,505 |
4,302 | 43 | 1 | 1 | 7 | 2 | 1 | 4 | 4 | 0 | 5 | 1 | 5 | 0 | 3 | 0 | 3 | 1 | 21,254 |
3,909 | 37 | 0 | 1 | 30 | 3 | 2 | 3 | 2 | 1 | 3 | 1 | 6 | 0 | 3 | 0 | 1 | 2 | 21,249 |
3,138 | 34 | 1 | 1 | 7 | 2 | 0 | 3 | 5 | 1 | 3 | 3 | 2 | 0 | 4 | 0 | 1 | 2 | 25,627 |
356 | 42 | 1 | 1 | 8 | 2 | 2 | 3 | 4 | 1 | 3 | 3 | 4 | 0 | 2 | 0 | 1 | 2 | 21,781 |
2,685 | 33 | 0 | 3 | 33 | 3 | 2 | 4 | 4 | 1 | 3 | 0 | 2 | 0 | 4 | 1 | 3 | 2 | 23,143 |
2,154 | 40 | 1 | 3 | 16 | 3 | 2 | 3 | 4 | 3 | 4 | 1 | 3 | 0 | 4 | 0 | 0 | 3 | 24,705 |
4,712 | 34 | 1 | 1 | 32 | 3 | 2 | 3 | 5 | 0 | 4 | 2 | 6 | 1 | 4 | 1 | 1 | 1 | 20,991 |
926 | 43 | 1 | 3 | 10 | 3 | 0 | 2 | 4 | 3 | 3 | 3 | 4 | 0 | 3 | 1 | 0 | 3 | 25,231 |
1,483 | 34 | 1 | 1 | 25 | 3 | 2 | 3 | 3 | 0 | 3 | 1 | 1 | 0 | 3 | 0 | 0 | 1 | 17,661 |
1,204 | 48 | 0 | 3 | 13 | 3 | 1 | 3 | 3 | 0 | 3 | 1 | 3 | 1 | 4 | 1 | 1 | 1 | 17,655 |
1,409 | 40 | 0 | 1 | 17 | 1 | 1 | 3 | 3 | 1 | 3 | 1 | 2 | 0 | 3 | 1 | 1 | 2 | 21,323 |
1,599 | 49 | 1 | 1 | 26 | 3 | 1 | 3 | 3 | 1 | 5 | 1 | 2 | 0 | 1 | 1 | 0 | 2 | 21,567 |
330 | 43 | 0 | 1 | 16 | 2 | 1 | 2 | 4 | 1 | 3 | 1 | 2 | 0 | 3 | 0 | 0 | 2 | 20,257 |
4,864 | 32 | 1 | 2 | 29 | 2 | 2 | 3 | 6 | 0 | 3 | 1 | 3 | 0 | 1 | 0 | 2 | 1 | 28,530 |
4,791 | 47 | 1 | 1 | 9 | 1 | 2 | 3 | 4 | 1 | 3 | 1 | 4 | 0 | 1 | 0 | 1 | 2 | 26,057 |
4,828 | 56 | 0 | 3 | 9 | 2 | 1 | 3 | 5 | 0 | 3 | 2 | 2 | 0 | 5 | 0 | 1 | 1 | 32,255 |
2,003 | 40 | 0 | 3 | 11 | 2 | 2 | 2 | 4 | 3 | 5 | 1 | 6 | 1 | 5 | 0 | 0 | 3 | 25,475 |
4,817 | 30 | 0 | 1 | 17 | 2 | 0 | 3 | 5 | 0 | 3 | 3 | 3 | 0 | 4 | 1 | 1 | 1 | 25,301 |
2,491 | 38 | 1 | 1 | 26 | 2 | 2 | 4 | 4 | 0 | 4 | 0 | 6 | 0 | 4 | 1 | 2 | 1 | 21,700 |
4,599 | 27 | 0 | 3 | 7 | 3 | 2 | 3 | 5 | 1 | 5 | 3 | 3 | 0 | 3 | 0 | 1 | 2 | 22,972 |
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