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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 11 new columns ({'team', 'fielders', 'batsman_position', 'isout', 'sixes', 'wickettype', 'innings', 'balls', 'fours', 'strikerate', 'runs'}) and 18 missing columns ({'wides', 'current_innings_wickets', 'over_number', 'isfour', 'byes', 'series_id', 'iswicket', 'legbyes', 'ball_number', 'noballs', 'current_innings_runs', 'penalties', 'out_player_id', 'innings_no', 'over', 'issix', 'total_runs', 'batsman_runs'}).
This happened while the csv dataset builder was generating data using
hf://datasets/bhuvaneshprasad/ipl-dataset/ipl_batting_card.csv (at revision 5ab9e387121847fbe9250819f019da48037d1c37)
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 2011, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
match_id: int64
innings: int64
team: string
batsman_id: int64
batsman_position: int64
runs: double
balls: double
fours: double
sixes: double
strikerate: double
isout: bool
wickettype: string
fielders: string
bowler_id: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1864
to
{'series_id': Value(dtype='int64', id=None), 'match_id': Value(dtype='int64', id=None), 'innings_no': Value(dtype='int64', id=None), 'batsman_id': Value(dtype='int64', id=None), 'bowler_id': Value(dtype='int64', id=None), 'over_number': Value(dtype='int64', id=None), 'ball_number': Value(dtype='int64', id=None), 'over': Value(dtype='float64', id=None), 'total_runs': Value(dtype='int64', id=None), 'batsman_runs': Value(dtype='int64', id=None), 'isfour': Value(dtype='bool', id=None), 'issix': Value(dtype='bool', id=None), 'iswicket': Value(dtype='bool', id=None), 'byes': Value(dtype='int64', id=None), 'legbyes': Value(dtype='int64', id=None), 'wides': Value(dtype='int64', id=None), 'noballs': Value(dtype='int64', id=None), 'penalties': Value(dtype='int64', id=None), 'out_player_id': Value(dtype='float64', id=None), 'current_innings_runs': Value(dtype='int64', id=None), 'current_innings_wickets': Value(dtype='int64', 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 1321, 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 935, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, 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 1882, 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 2013, 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 11 new columns ({'team', 'fielders', 'batsman_position', 'isout', 'sixes', 'wickettype', 'innings', 'balls', 'fours', 'strikerate', 'runs'}) and 18 missing columns ({'wides', 'current_innings_wickets', 'over_number', 'isfour', 'byes', 'series_id', 'iswicket', 'legbyes', 'ball_number', 'noballs', 'current_innings_runs', 'penalties', 'out_player_id', 'innings_no', 'over', 'issix', 'total_runs', 'batsman_runs'}).
This happened while the csv dataset builder was generating data using
hf://datasets/bhuvaneshprasad/ipl-dataset/ipl_batting_card.csv (at revision 5ab9e387121847fbe9250819f019da48037d1c37)
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.
series_id
int64 | match_id
int64 | innings_no
int64 | batsman_id
int64 | bowler_id
int64 | over_number
int64 | ball_number
int64 | over
float64 | total_runs
int64 | batsman_runs
int64 | isfour
bool | issix
bool | iswicket
bool | byes
int64 | legbyes
int64 | wides
int64 | noballs
int64 | penalties
int64 | out_player_id
null | current_innings_runs
int64 | current_innings_wickets
int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1,165,643 | 1,178,429 | 1 | 51,216 | 58,274 | 1 | 1 | 0.1 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 1 | 0 |
1,165,643 | 1,178,429 | 1 | 48,927 | 58,274 | 1 | 2 | 0.2 | 0 | 0 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 1 | 0 |
1,165,643 | 1,178,429 | 1 | 48,927 | 58,274 | 1 | 3 | 0.3 | 0 | 0 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 1 | 0 |
1,165,643 | 1,178,429 | 1 | 48,927 | 58,274 | 1 | 4 | 0.4 | 0 | 0 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 1 | 0 |
1,165,643 | 1,178,429 | 1 | 48,927 | 58,274 | 1 | 5 | 0.5 | 0 | 0 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 1 | 0 |
1,165,643 | 1,178,429 | 1 | 48,927 | 58,274 | 1 | 6 | 0.6 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 2 | 0 |
1,165,643 | 1,178,429 | 1 | 48,927 | 74,633 | 2 | 1 | 1.1 | 0 | 0 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 2 | 0 |
1,165,643 | 1,178,429 | 1 | 48,927 | 74,633 | 2 | 2 | 1.2 | 4 | 4 | true | false | false | 0 | 0 | 0 | 0 | 0 | null | 6 | 0 |
1,165,643 | 1,178,429 | 1 | 48,927 | 74,633 | 2 | 3 | 1.3 | 6 | 6 | false | true | false | 0 | 0 | 0 | 0 | 0 | null | 12 | 0 |
1,165,643 | 1,178,429 | 1 | 48,927 | 74,633 | 2 | 4 | 1.4 | 5 | 5 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 17 | 0 |
1,165,643 | 1,178,429 | 1 | 51,216 | 74,633 | 2 | 5 | 1.5 | 0 | 0 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 17 | 0 |
1,165,643 | 1,178,429 | 1 | 51,216 | 74,633 | 2 | 6 | 1.6 | 4 | 4 | true | false | false | 0 | 0 | 0 | 0 | 0 | null | 21 | 0 |
1,165,643 | 1,178,429 | 1 | 48,927 | 58,274 | 3 | 1 | 2.1 | 6 | 6 | false | true | false | 0 | 0 | 0 | 0 | 0 | null | 27 | 0 |
1,165,643 | 1,178,429 | 1 | 48,927 | 58,274 | 3 | 2 | 2.2 | 0 | 0 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 27 | 0 |
1,165,643 | 1,178,429 | 1 | 48,927 | 58,274 | 3 | 3 | 2.3 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 28 | 0 |
1,165,643 | 1,178,429 | 1 | 51,216 | 58,274 | 3 | 4 | 2.4 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 29 | 0 |
1,165,643 | 1,178,429 | 1 | 48,927 | 58,274 | 3 | 5 | 2.5 | 0 | 0 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 29 | 0 |
1,165,643 | 1,178,429 | 1 | 48,927 | 58,274 | 3 | 6 | 2.6 | 0 | 0 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 29 | 0 |
1,165,643 | 1,178,429 | 1 | 51,216 | 61,325 | 4 | 1 | 3.1 | 4 | 4 | true | false | false | 0 | 0 | 0 | 0 | 0 | null | 33 | 0 |
1,165,643 | 1,178,429 | 1 | 51,216 | 61,325 | 4 | 2 | 3.2 | 4 | 4 | true | false | false | 0 | 0 | 0 | 0 | 0 | null | 37 | 0 |
1,165,643 | 1,178,429 | 1 | 51,216 | 61,325 | 4 | 3 | 3.3 | 4 | 4 | true | false | false | 0 | 0 | 0 | 0 | 0 | null | 41 | 0 |
1,165,643 | 1,178,429 | 1 | 51,216 | 61,325 | 4 | 4 | 3.4 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 42 | 0 |
1,165,643 | 1,178,429 | 1 | 48,927 | 61,325 | 4 | 5 | 3.5 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 43 | 0 |
1,165,643 | 1,178,429 | 1 | 51,216 | 61,325 | 4 | 6 | 3.6 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 44 | 0 |
1,165,643 | 1,178,429 | 1 | 51,216 | 74,633 | 5 | 1 | 4.1 | 1 | 0 | false | false | false | 0 | 1 | 0 | 0 | 0 | null | 45 | 0 |
1,165,643 | 1,178,429 | 1 | 48,927 | 74,633 | 5 | 2 | 4.2 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 46 | 0 |
1,165,643 | 1,178,429 | 1 | 51,216 | 74,633 | 5 | 3 | 4.3 | 0 | 0 | false | false | true | 0 | 0 | 0 | 0 | 0 | null | 46 | 1 |
1,165,643 | 1,178,429 | 1 | 51,454 | 74,633 | 5 | 4 | 4.4 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 47 | 1 |
1,165,643 | 1,178,429 | 1 | 48,927 | 74,633 | 5 | 5 | 4.5 | 0 | 0 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 47 | 1 |
1,165,643 | 1,178,429 | 1 | 48,927 | 74,633 | 5 | 6 | 4.6 | 4 | 4 | true | false | false | 0 | 0 | 0 | 0 | 0 | null | 51 | 1 |
1,165,643 | 1,178,429 | 1 | 51,454 | 61,325 | 6 | 1 | 5.1 | 0 | 0 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 51 | 1 |
1,165,643 | 1,178,429 | 1 | 51,454 | 61,325 | 6 | 2 | 5.2 | 0 | 0 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 51 | 1 |
1,165,643 | 1,178,429 | 1 | 51,454 | 61,325 | 6 | 3 | 5.3 | 0 | 0 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 51 | 1 |
1,165,643 | 1,178,429 | 1 | 51,454 | 61,325 | 6 | 4 | 5.4 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 52 | 1 |
1,165,643 | 1,178,429 | 1 | 48,927 | 61,325 | 6 | 5 | 5.5 | 0 | 0 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 52 | 1 |
1,165,643 | 1,178,429 | 1 | 48,927 | 61,325 | 6 | 6 | 5.6 | 0 | 0 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 52 | 1 |
1,165,643 | 1,178,429 | 1 | 51,454 | 96,758 | 7 | 1 | 6.1 | 4 | 4 | true | false | false | 0 | 0 | 0 | 0 | 0 | null | 56 | 1 |
1,165,643 | 1,178,429 | 1 | 51,454 | 96,758 | 7 | 2 | 6.2 | 0 | 0 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 56 | 1 |
1,165,643 | 1,178,429 | 1 | 51,454 | 96,758 | 7 | 3 | 6.3 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 57 | 1 |
1,165,643 | 1,178,429 | 1 | 48,927 | 96,758 | 7 | 4 | 6.4 | 0 | 0 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 57 | 1 |
1,165,643 | 1,178,429 | 1 | 48,927 | 96,758 | 7 | 5 | 6.5 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 58 | 1 |
1,165,643 | 1,178,429 | 1 | 51,454 | 96,758 | 7 | 6 | 6.6 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 59 | 1 |
1,165,643 | 1,178,429 | 1 | 51,454 | 75,311 | 8 | 1 | 7.1 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 60 | 1 |
1,165,643 | 1,178,429 | 1 | 48,927 | 75,311 | 8 | 2 | 7.2 | 0 | 0 | false | false | true | 0 | 0 | 0 | 0 | 0 | null | 60 | 2 |
1,165,643 | 1,178,429 | 1 | 51,088 | 75,311 | 8 | 3 | 7.3 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 61 | 2 |
1,165,643 | 1,178,429 | 1 | 51,454 | 75,311 | 8 | 4 | 7.4 | 0 | 0 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 61 | 2 |
1,165,643 | 1,178,429 | 1 | 51,454 | 75,311 | 8 | 5 | 7.5 | 0 | 0 | false | false | true | 0 | 0 | 0 | 0 | 0 | null | 61 | 3 |
1,165,643 | 1,178,429 | 1 | 51,088 | 75,311 | 8 | 6 | 7.6 | 0 | 0 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 61 | 3 |
1,165,643 | 1,178,429 | 1 | 63,509 | 96,758 | 9 | 1 | 8.1 | 0 | 0 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 61 | 3 |
1,165,643 | 1,178,429 | 1 | 63,509 | 96,758 | 9 | 2 | 8.2 | 0 | 0 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 61 | 3 |
1,165,643 | 1,178,429 | 1 | 63,509 | 96,758 | 9 | 3 | 8.3 | 0 | 0 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 61 | 3 |
1,165,643 | 1,178,429 | 1 | 63,509 | 96,758 | 9 | 4 | 8.4 | 0 | 0 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 61 | 3 |
1,165,643 | 1,178,429 | 1 | 63,509 | 96,758 | 9 | 5 | 8.5 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 62 | 3 |
1,165,643 | 1,178,429 | 1 | 51,088 | 96,758 | 9 | 6 | 8.6 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 63 | 3 |
1,165,643 | 1,178,429 | 1 | 51,088 | 75,311 | 10 | 1 | 9.1 | 0 | 0 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 63 | 3 |
1,165,643 | 1,178,429 | 1 | 51,088 | 75,311 | 10 | 2 | 9.2 | 0 | 0 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 63 | 3 |
1,165,643 | 1,178,429 | 1 | 51,088 | 75,311 | 10 | 3 | 9.3 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 64 | 3 |
1,165,643 | 1,178,429 | 1 | 63,509 | 75,311 | 10 | 4 | 9.4 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 65 | 3 |
1,165,643 | 1,178,429 | 1 | 51,088 | 75,311 | 10 | 5 | 9.5 | 2 | 2 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 67 | 3 |
1,165,643 | 1,178,429 | 1 | 51,088 | 75,311 | 10 | 6 | 9.6 | 4 | 4 | true | false | false | 0 | 0 | 0 | 0 | 0 | null | 71 | 3 |
1,165,643 | 1,178,429 | 1 | 63,509 | 58,274 | 11 | 1 | 10.1 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 72 | 3 |
1,165,643 | 1,178,429 | 1 | 51,088 | 58,274 | 11 | 2 | 10.2 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 73 | 3 |
1,165,643 | 1,178,429 | 1 | 63,509 | 58,274 | 11 | 3 | 10.3 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 74 | 3 |
1,165,643 | 1,178,429 | 1 | 51,088 | 58,274 | 11 | 4 | 10.4 | 4 | 4 | true | false | false | 0 | 0 | 0 | 0 | 0 | null | 78 | 3 |
1,165,643 | 1,178,429 | 1 | 51,088 | 58,274 | 11 | 5 | 10.5 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 79 | 3 |
1,165,643 | 1,178,429 | 1 | 63,509 | 58,274 | 11 | 6 | 10.6 | 0 | 0 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 79 | 3 |
1,165,643 | 1,178,429 | 1 | 51,088 | 61,325 | 12 | 1 | 11.1 | 0 | 0 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 79 | 3 |
1,165,643 | 1,178,429 | 1 | 51,088 | 61,325 | 12 | 2 | 11.2 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 80 | 3 |
1,165,643 | 1,178,429 | 1 | 63,509 | 61,325 | 12 | 3 | 11.3 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 81 | 3 |
1,165,643 | 1,178,429 | 1 | 51,088 | 61,325 | 12 | 4 | 11.4 | 0 | 0 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 81 | 3 |
1,165,643 | 1,178,429 | 1 | 51,088 | 61,325 | 12 | 5 | 11.5 | 0 | 0 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 81 | 3 |
1,165,643 | 1,178,429 | 1 | 51,088 | 61,325 | 12 | 6 | 11.6 | 0 | 0 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 81 | 3 |
1,165,643 | 1,178,429 | 1 | 63,509 | 47,231 | 13 | 1 | 12.1 | 6 | 6 | false | true | false | 0 | 0 | 0 | 0 | 0 | null | 87 | 3 |
1,165,643 | 1,178,429 | 1 | 63,509 | 47,231 | 13 | 2 | 12.2 | 2 | 2 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 89 | 3 |
1,165,643 | 1,178,429 | 1 | 63,509 | 47,231 | 13 | 3 | 12.3 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 90 | 3 |
1,165,643 | 1,178,429 | 1 | 51,088 | 47,231 | 13 | 4 | 12.4 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 91 | 3 |
1,165,643 | 1,178,429 | 1 | 63,509 | 47,231 | 13 | 5 | 12.5 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 92 | 3 |
1,165,643 | 1,178,429 | 1 | 51,088 | 47,231 | 13 | 6 | 12.6 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 93 | 3 |
1,165,643 | 1,178,429 | 1 | 51,088 | 75,311 | 14 | 1 | 13.1 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 94 | 3 |
1,165,643 | 1,178,429 | 1 | 63,509 | 75,311 | 14 | 2 | 13.2 | 0 | 0 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 94 | 3 |
1,165,643 | 1,178,429 | 1 | 63,509 | 75,311 | 14 | 3 | 13.3 | 6 | 6 | false | true | false | 0 | 0 | 0 | 0 | 0 | null | 100 | 3 |
1,165,643 | 1,178,429 | 1 | 63,509 | 75,311 | 14 | 4 | 13.4 | 6 | 6 | false | true | false | 0 | 0 | 0 | 0 | 0 | null | 106 | 3 |
1,165,643 | 1,178,429 | 1 | 63,509 | 75,311 | 14 | 5 | 13.5 | 0 | 0 | false | false | true | 0 | 0 | 0 | 0 | 0 | null | 106 | 4 |
1,165,643 | 1,178,429 | 1 | 51,088 | 75,311 | 14 | 6 | 13.6 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 107 | 4 |
1,165,643 | 1,178,429 | 1 | 51,088 | 96,758 | 15 | 1 | 14.1 | 0 | 0 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 107 | 4 |
1,165,643 | 1,178,429 | 1 | 51,088 | 96,758 | 15 | 2 | 14.2 | 0 | 0 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 107 | 4 |
1,165,643 | 1,178,429 | 1 | 51,088 | 96,758 | 15 | 3 | 14.3 | 6 | 6 | false | true | false | 0 | 0 | 0 | 0 | 0 | null | 113 | 4 |
1,165,643 | 1,178,429 | 1 | 51,088 | 96,758 | 15 | 4 | 14.4 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 114 | 4 |
1,165,643 | 1,178,429 | 1 | 15,473 | 96,758 | 15 | 5 | 14.5 | 1 | 0 | false | false | false | 0 | 0 | 1 | 0 | 0 | null | 115 | 4 |
1,165,643 | 1,178,429 | 1 | 15,473 | 96,758 | 15 | 6 | 14.5 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 116 | 4 |
1,165,643 | 1,178,429 | 1 | 51,088 | 96,758 | 15 | 7 | 14.6 | 6 | 6 | false | true | false | 0 | 0 | 0 | 0 | 0 | null | 122 | 4 |
1,165,643 | 1,178,429 | 1 | 15,473 | 61,325 | 16 | 1 | 15.1 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 123 | 4 |
1,165,643 | 1,178,429 | 1 | 51,088 | 61,325 | 16 | 2 | 15.2 | 1 | 0 | false | false | false | 0 | 0 | 1 | 0 | 0 | null | 124 | 4 |
1,165,643 | 1,178,429 | 1 | 51,088 | 61,325 | 16 | 3 | 15.2 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 125 | 4 |
1,165,643 | 1,178,429 | 1 | 15,473 | 61,325 | 16 | 4 | 15.3 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 126 | 4 |
1,165,643 | 1,178,429 | 1 | 51,088 | 61,325 | 16 | 5 | 15.4 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 127 | 4 |
1,165,643 | 1,178,429 | 1 | 15,473 | 61,325 | 16 | 6 | 15.5 | 0 | 0 | false | false | true | 0 | 0 | 0 | 0 | 0 | null | 127 | 5 |
1,165,643 | 1,178,429 | 1 | 51,088 | 61,325 | 16 | 7 | 15.6 | 1 | 1 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 128 | 5 |
1,165,643 | 1,178,429 | 1 | 51,088 | 74,633 | 17 | 1 | 16.1 | 4 | 4 | true | false | false | 0 | 0 | 0 | 0 | 0 | null | 132 | 5 |
1,165,643 | 1,178,429 | 1 | 51,088 | 74,633 | 17 | 2 | 16.2 | 0 | 0 | false | false | false | 0 | 0 | 0 | 0 | 0 | null | 132 | 5 |
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