Datasets:

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group-a

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Group_A 5

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
game_date: timestamp[ns]
ori: string
county: string
state: string
ipv_count: int32
spouse_count: int32
bgfriend_count: int32
year: string
team: string
legal_date: timestamp[ns]
OSB_date: timestamp[ns]
announced: timestamp[ns]
sports_betting_legal: string
policy: int64
policy_online: int64
announced_pending: int64
home_team: string
away_team: string
game_outcome: string
winner: string
bookmakers: double
time: string
home_team_score: double
away_team_score: double
season: string
is_playoff: double
PACE: double
minutes: string
national_tv: double
tipoff_hour: double
holiday: int64
game_day: int64
dow: string
month: string
is_weekend: int64
team_year: string
population_estimate: double
__index_level_0__: int64
-- schema metadata --
pandas: '{"index_columns": ["__index_level_0__"], "column_indexes": [{"na' + 4724
to
{'ori': Value('string'), 'game_date': Value('timestamp[ns]'), 'year': Value('string'), 'county': Value('string'), 'state': Value('string'), 'ipv_count': Value('float64'), 'spouse_count': Value('float64'), 'bgfriend_count': Value('float64'), 'team': Value('string'), 'legal_date': Value('timestamp[ns]'), 'OSB_date': Value('timestamp[ns]'), 'announced': Value('timestamp[ns]'), 'sports_betting_legal': Value('string'), 'policy': Value('int64'), 'policy_online': Value('int64'), 'announced_pending': Value('int64'), 'home_team': Value('string'), 'away_team': Value('string'), 'game_outcome': Value('string'), 'winner': Value('string'), 'bookmakers': Value('float64'), 'time': Value('string'), 'home_team_score': Value('float64'), 'away_team_score': Value('float64'), 'season': Value('string'), 'is_playoff': Value('float64'), 'PACE': Value('float64'), 'minutes': Value('string'), 'national_tv': Value('float64'), 'tipoff_hour': Value('float64'), 'holiday': Value('int64'), 'game_day': Value('int64'), 'dow': Value('string'), 'month': Value('string'), 'is_weekend': Value('int64'), 'team_year': Value('string'), 'population_estimate': Value('float64'), 'cardazzi_team': Value('int64'), 'weeks_left': Value('float64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2543, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2060, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2083, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 544, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 383, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 180, in _generate_tables
                  yield Key(file_idx, batch_idx), self._cast_table(pa_table)
                                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 143, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_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
              game_date: timestamp[ns]
              ori: string
              county: string
              state: string
              ipv_count: int32
              spouse_count: int32
              bgfriend_count: int32
              year: string
              team: string
              legal_date: timestamp[ns]
              OSB_date: timestamp[ns]
              announced: timestamp[ns]
              sports_betting_legal: string
              policy: int64
              policy_online: int64
              announced_pending: int64
              home_team: string
              away_team: string
              game_outcome: string
              winner: string
              bookmakers: double
              time: string
              home_team_score: double
              away_team_score: double
              season: string
              is_playoff: double
              PACE: double
              minutes: string
              national_tv: double
              tipoff_hour: double
              holiday: int64
              game_day: int64
              dow: string
              month: string
              is_weekend: int64
              team_year: string
              population_estimate: double
              __index_level_0__: int64
              -- schema metadata --
              pandas: '{"index_columns": ["__index_level_0__"], "column_indexes": [{"na' + 4724
              to
              {'ori': Value('string'), 'game_date': Value('timestamp[ns]'), 'year': Value('string'), 'county': Value('string'), 'state': Value('string'), 'ipv_count': Value('float64'), 'spouse_count': Value('float64'), 'bgfriend_count': Value('float64'), 'team': Value('string'), 'legal_date': Value('timestamp[ns]'), 'OSB_date': Value('timestamp[ns]'), 'announced': Value('timestamp[ns]'), 'sports_betting_legal': Value('string'), 'policy': Value('int64'), 'policy_online': Value('int64'), 'announced_pending': Value('int64'), 'home_team': Value('string'), 'away_team': Value('string'), 'game_outcome': Value('string'), 'winner': Value('string'), 'bookmakers': Value('float64'), 'time': Value('string'), 'home_team_score': Value('float64'), 'away_team_score': Value('float64'), 'season': Value('string'), 'is_playoff': Value('float64'), 'PACE': Value('float64'), 'minutes': Value('string'), 'national_tv': Value('float64'), 'tipoff_hour': Value('float64'), 'holiday': Value('int64'), 'game_day': Value('int64'), 'dow': Value('string'), 'month': Value('string'), 'is_weekend': Value('int64'), 'team_year': Value('string'), 'population_estimate': Value('float64'), 'cardazzi_team': Value('int64'), 'weeks_left': Value('float64')}
              because column names don't match