Datasets:

jsulz

/

FIFA23

like 1

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 105 new columns ({'rm', 'skill_dribbling', 'movement_balance', 'weak_foot', 'club_team_id', 'mentality_composure', 'work_rate', 'cb', 'lb', 'club_joined_date', 'movement_reactions', 'international_reputation', 'fifa_version', 'player_positions', 'club_position', 'skill_fk_accuracy', 'power_strength', 'nation_position', 'passing', 'club_loaned_from', 'rs', 'attacking_short_passing', 'skill_moves', 'weight_kg', 'wage_eur', 'player_id', 'skill_ball_control', 'overall', 'goalkeeping_speed', 'attacking_crossing', 'lam', 'movement_agility', 'defending_marking_awareness', 'shooting', 'defending_sliding_tackle', 'fifa_update', 'league_name', 'release_clause_eur', 'defending_standing_tackle', 'rwb', 'lcb', 'physic', 'ls', 'attacking_finishing', 'league_level', 'power_shot_power', 'st', 'value_eur', 'mentality_positioning', 'attacking_volleys', 'lcm', 'gk', 'rcm', 'nation_team_id', 'rb', 'potential', 'rcb', 'cf', 'club_jersey_number', 'mentality_penalties', 'league_id', 'movement_acceleration', 'ldm', 'club_contract_valid_until_year', 'cm', 'goalkeeping_kicking', 'height_cm', 'lwb', 'lm', 'defending', 'ram', 'power_jumping', 'player_tags', 'player_face_url', 'cdm', 'lw', 'cam', 'dribbling', 'movement_sprint_speed', 'player_traits', 'goalkeeping_positioning', 'rw', 'power_stamina', 'power_long_shots', 'mentality_interceptions', 'goalkeeping_reflexes', 'lf', 'mentality_aggression', 'body_type', 'rf', 'rdm', 'real_face', 'goalkeeping_diving', 'age', 'mentality_vision', 'pace', 'nation_jersey_number', 'player_url', 'club_name', 'attacking_heading_accuracy', 'fifa_update_date', 'skill_long_passing', 'skill_curve', 'preferred_foot', 'goalkeeping_handling'}) and 3 missing columns ({'coach_url', 'coach_id', 'face_url'}).

This happened while the csv dataset builder was generating data using

hf://datasets/jsulz/FIFA23/female_players (legacy).csv (at revision cf90dd5ed09166fbebd6c87887ae044da140c230)

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
              player_id: int64
              player_url: string
              fifa_version: int64
              fifa_update: int64
              fifa_update_date: string
              short_name: string
              long_name: string
              player_positions: string
              overall: int64
              potential: int64
              value_eur: double
              wage_eur: double
              age: int64
              dob: string
              height_cm: int64
              weight_kg: int64
              league_id: double
              league_name: string
              league_level: double
              club_team_id: double
              club_name: string
              club_position: string
              club_jersey_number: double
              club_loaned_from: string
              club_joined_date: string
              club_contract_valid_until_year: double
              nationality_id: int64
              nationality_name: string
              nation_team_id: double
              nation_position: string
              nation_jersey_number: double
              preferred_foot: string
              weak_foot: int64
              skill_moves: int64
              international_reputation: int64
              work_rate: string
              body_type: string
              real_face: string
              release_clause_eur: double
              player_tags: string
              player_traits: string
              pace: double
              shooting: double
              passing: double
              dribbling: double
              defending: double
              physic: double
              attacking_crossing: int64
              attacking_finishing: int64
              attacking_heading_accuracy: int64
              attacking_short_passing: int64
              attacking_volleys: int64
              skill_dribbling: int64
              skill_curve: int64
              skill_fk_accuracy: int64
              skill_long_passing: int64
              skill_ball_control: int64
              movement_acceleration: int64
              movement_sprint_speed: int64
              movement_agility: int64
              movement_reactions: int64
              movement_balance: int64
              power_shot_power: int64
              power_jumping: int64
              power_stamina: int64
              power_strength: int64
              power_long_shots: int64
              mentality_aggression: int64
              mentality_interceptions: int64
              mentality_positioning: int64
              mentality_vision: int64
              mentality_penalties: int64
              mentality_composure: double
              defending_marking_awareness: int64
              defending_standing_tackle: int64
              defending_sliding_tackle: int64
              goalkeeping_diving: int64
              goalkeeping_handling: int64
              goalkeeping_kicking: int64
              goalkeeping_positioning: int64
              goalkeeping_reflexes: int64
              goalkeeping_speed: double
              ls: string
              st: string
              rs: string
              lw: string
              lf: string
              cf: string
              rf: string
              rw: string
              lam: string
              cam: string
              ram: string
              lm: string
              lcm: string
              cm: string
              rcm: string
              rm: string
              lwb: string
              ldm: string
              cdm: string
              rdm: string
              rwb: string
              lb: string
              lcb: string
              cb: string
              rcb: string
              rb: string
              gk: string
              player_face_url: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 13711
              to
              {'coach_id': Value(dtype='int64', id=None), 'coach_url': Value(dtype='string', id=None), 'short_name': Value(dtype='string', id=None), 'long_name': Value(dtype='string', id=None), 'dob': Value(dtype='string', id=None), 'nationality_id': Value(dtype='int64', id=None), 'nationality_name': Value(dtype='string', id=None), 'face_url': Value(dtype='string', 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 1529, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1100, in stream_convert_to_parquet
                  builder._prepare_split(
                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 105 new columns ({'rm', 'skill_dribbling', 'movement_balance', 'weak_foot', 'club_team_id', 'mentality_composure', 'work_rate', 'cb', 'lb', 'club_joined_date', 'movement_reactions', 'international_reputation', 'fifa_version', 'player_positions', 'club_position', 'skill_fk_accuracy', 'power_strength', 'nation_position', 'passing', 'club_loaned_from', 'rs', 'attacking_short_passing', 'skill_moves', 'weight_kg', 'wage_eur', 'player_id', 'skill_ball_control', 'overall', 'goalkeeping_speed', 'attacking_crossing', 'lam', 'movement_agility', 'defending_marking_awareness', 'shooting', 'defending_sliding_tackle', 'fifa_update', 'league_name', 'release_clause_eur', 'defending_standing_tackle', 'rwb', 'lcb', 'physic', 'ls', 'attacking_finishing', 'league_level', 'power_shot_power', 'st', 'value_eur', 'mentality_positioning', 'attacking_volleys', 'lcm', 'gk', 'rcm', 'nation_team_id', 'rb', 'potential', 'rcb', 'cf', 'club_jersey_number', 'mentality_penalties', 'league_id', 'movement_acceleration', 'ldm', 'club_contract_valid_until_year', 'cm', 'goalkeeping_kicking', 'height_cm', 'lwb', 'lm', 'defending', 'ram', 'power_jumping', 'player_tags', 'player_face_url', 'cdm', 'lw', 'cam', 'dribbling', 'movement_sprint_speed', 'player_traits', 'goalkeeping_positioning', 'rw', 'power_stamina', 'power_long_shots', 'mentality_interceptions', 'goalkeeping_reflexes', 'lf', 'mentality_aggression', 'body_type', 'rf', 'rdm', 'real_face', 'goalkeeping_diving', 'age', 'mentality_vision', 'pace', 'nation_jersey_number', 'player_url', 'club_name', 'attacking_heading_accuracy', 'fifa_update_date', 'skill_long_passing', 'skill_curve', 'preferred_foot', 'goalkeeping_handling'}) and 3 missing columns ({'coach_url', 'coach_id', 'face_url'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/jsulz/FIFA23/female_players (legacy).csv (at revision cf90dd5ed09166fbebd6c87887ae044da140c230)
              
              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)