Datasets:

ClarusC64
/

premier-league-game-state-coherence-mapping-v0.1

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 4 new columns ({'__index_level_1__', '__index_level_0__', '__index_level_2__', '__index_level_3__'})

This happened while the csv dataset builder was generating data using

hf://datasets/ClarusC64/premier-league-game-state-coherence-mapping-v0.1/data/test.csv (at revision 9a40283ad6293ef0beb68890255f95250c08d294), [/tmp/hf-datasets-cache/medium/datasets/19046987334309-config-parquet-and-info-ClarusC64-premier-league--032d5081/hub/datasets--ClarusC64--premier-league-game-state-coherence-mapping-v0.1/snapshots/9a40283ad6293ef0beb68890255f95250c08d294/data/test.csv (origin=hf://datasets/ClarusC64/premier-league-game-state-coherence-mapping-v0.1@9a40283ad6293ef0beb68890255f95250c08d294/data/test.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 675, 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
              id: string
              match_id: string
              minute: double
              team: double
              game_phase: double
              field_state_summary: double
              compactness_index: double
              lane_control_index: double
              pressure_synchrony_index: double
              progression_coherence_index: double
              team_coherence_score: string
              coherence_drop_trigger: string
              coherence_zone_map: string
              notes: string
              constraints: string
              gold_checklist: string
              __index_level_0__: string
              __index_level_1__: string
              __index_level_2__: int64
              __index_level_3__: string
              -- schema metadata --
              pandas: '{"index_columns": ["__index_level_0__", "__index_level_1__", "__' + 2807
              to
              {'id': Value('string'), 'match_id': Value('string'), 'minute': Value('int64'), 'team': Value('string'), 'game_phase': Value('string'), 'field_state_summary': Value('string'), 'compactness_index': Value('float64'), 'lane_control_index': Value('float64'), 'pressure_synchrony_index': Value('float64'), 'progression_coherence_index': Value('float64'), 'team_coherence_score': Value('float64'), 'coherence_drop_trigger': Value('string'), 'coherence_zone_map': Value('string'), 'notes': Value('string'), 'constraints': Value('string'), 'gold_checklist': Value('string')}
              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 4 new columns ({'__index_level_1__', '__index_level_0__', '__index_level_2__', '__index_level_3__'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/ClarusC64/premier-league-game-state-coherence-mapping-v0.1/data/test.csv (at revision 9a40283ad6293ef0beb68890255f95250c08d294), [/tmp/hf-datasets-cache/medium/datasets/19046987334309-config-parquet-and-info-ClarusC64-premier-league--032d5081/hub/datasets--ClarusC64--premier-league-game-state-coherence-mapping-v0.1/snapshots/9a40283ad6293ef0beb68890255f95250c08d294/data/test.csv (origin=hf://datasets/ClarusC64/premier-league-game-state-coherence-mapping-v0.1@9a40283ad6293ef0beb68890255f95250c08d294/data/test.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)

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id string	match_id string	minute int64	team string	game_phase string	field_state_summary string	compactness_index float64	lane_control_index float64	pressure_synchrony_index float64	progression_coherence_index float64	team_coherence_score float64	coherence_drop_trigger string	coherence_zone_map string	notes string	constraints string	gold_checklist string
PLGSC-001	EPL-2025-001	12	ARS	settled_possession	Back line wide; 6 offers; 8s connected; winger pinned	0.78	0.72	0.66	0.7	0.72	none	central+left	Coherent circulation	Premier League only.	score+indices+trigger
PLGSC-002	EPL-2025-001	18	ARS	pressed_buildout	Press locks fullback; 6 hidden; long forced	0.62	0.48	0.52	0.4	0.5	fullback trapped	right	Coherence drops before turnover	Premier League only.	score+indices+trigger
PLGSC-003	EPL-2025-001	18	TOT	high_press	Front 3 jump together; midfield steps; back line holds	0.74	0.68	0.78	0.55	0.69	none	right+central	Press coherence high	Premier League only.	score+indices+trigger
PLGSC-004	EPL-2025-002	33	MCI	positional_attack	Rest defense set; 2-3-5; halfspaces occupied	0.82	0.8	0.64	0.78	0.78	none	both_halfspaces	Stable control	Premier League only.	score+indices+trigger
PLGSC-005	EPL-2025-002	41	MCI	transition_defense	Lost ball with 8 ahead; 6 late; foul avoided	0.58	0.44	0.4	0.35	0.44	counter threat	central	Rest defense broken	Premier League only.	score+indices+trigger
PLGSC-006	EPL-2025-003	70	NEW	low_block	Lines tight; 10 tracks; wide trap set	0.8	0.6	0.7	0.42	0.62	none	wide_right_trap	Coherent without ball	Premier League only.	score+indices+trigger

What this dataset tests

Whether an intelligence system can score
team coherence in live match state.

Required outputs

team coherence score
lane control
compactness
pressure synchrony
progression coherence
coherence drop trigger
coherence zone map

Use case

First layer of Game State Coherence & Fragility Maps.

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Total file size:

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