Datasets:

ClarusC64
/

premier-league-transition-breakpoint-collapse-probability-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 1 new columns ({'__index_level_0__'})

This happened while the csv dataset builder was generating data using

hf://datasets/ClarusC64/premier-league-transition-breakpoint-collapse-probability-v0.1/data/test.csv (at revision e35d2ffb51d881c08114756b2a8879adbacd61e0), [/tmp/hf-datasets-cache/medium/datasets/99760344357671-config-parquet-and-info-ClarusC64-premier-league--8136dbc0/hub/datasets--ClarusC64--premier-league-transition-breakpoint-collapse-probability-v0.1/snapshots/e35d2ffb51d881c08114756b2a8879adbacd61e0/data/test.csv (origin=hf://datasets/ClarusC64/premier-league-transition-breakpoint-collapse-probability-v0.1@e35d2ffb51d881c08114756b2a8879adbacd61e0/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: int64
              minute: string
              team_in_possession: string
              opponent_defending_team: string
              turnover_zone: string
              transition_trigger_event: string
              defensive_shape_at_trigger: double
              imbalance_index: double
              reformation_speed_index: double
              transition_breakpoint_type: double
              collapse_probability: double
              best_counter_lane: double
              collapse_probability_curve: double
              expected_chance_quality_band: double
              notes: string
              constraints: string
              gold_checklist: string
              __index_level_0__: string
              -- schema metadata --
              pandas: '{"index_columns": ["__index_level_0__"], "column_indexes": [{"na' + 2747
              to
              {'id': Value('string'), 'match_id': Value('string'), 'minute': Value('int64'), 'team_in_possession': Value('string'), 'opponent_defending_team': Value('string'), 'turnover_zone': Value('string'), 'transition_trigger_event': Value('string'), 'defensive_shape_at_trigger': Value('string'), 'imbalance_index': Value('float64'), 'reformation_speed_index': Value('float64'), 'transition_breakpoint_type': Value('string'), 'collapse_probability': Value('float64'), 'best_counter_lane': Value('string'), 'collapse_probability_curve': Value('string'), 'expected_chance_quality_band': 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 1 new columns ({'__index_level_0__'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/ClarusC64/premier-league-transition-breakpoint-collapse-probability-v0.1/data/test.csv (at revision e35d2ffb51d881c08114756b2a8879adbacd61e0), [/tmp/hf-datasets-cache/medium/datasets/99760344357671-config-parquet-and-info-ClarusC64-premier-league--8136dbc0/hub/datasets--ClarusC64--premier-league-transition-breakpoint-collapse-probability-v0.1/snapshots/e35d2ffb51d881c08114756b2a8879adbacd61e0/data/test.csv (origin=hf://datasets/ClarusC64/premier-league-transition-breakpoint-collapse-probability-v0.1@e35d2ffb51d881c08114756b2a8879adbacd61e0/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_in_possession string	opponent_defending_team string	turnover_zone string	transition_trigger_event string	defensive_shape_at_trigger string	imbalance_index float64	reformation_speed_index float64	transition_breakpoint_type string	collapse_probability float64	best_counter_lane string	collapse_probability_curve string	expected_chance_quality_band string	notes string	constraints string	gold_checklist string
PLTB-001	EPL-2025-001	19	ARS	TOT	right_halfspace	bad_touch_under_press	2-3-5 rest defense stretched	0.72	0.45	line_split	0.78	left_channel	t+0:0.40;t+3:0.65;t+6:0.78	high	Collapse likely within seconds	Premier League only.	breakpoint+prob+lane
PLTB-002	EPL-2025-002	42	MCI	AVL	central	loose_pass	2-2 rest defense 2v3	0.8	0.4	numerical_underload	0.82	central_lane	t+0:0.45;t+3:0.70;t+6:0.82	high	Classic rest defense break	Premier League only.	breakpoint+prob+lane
PLTB-003	EPL-2025-004	58	LIV	WHU	left_flank	press_beaten	back line turning	0.68	0.48	turning_backline	0.74	right_halfspace	t+0:0.35;t+3:0.60;t+6:0.74	medium-high	High threat but recoverable	Premier League only.	breakpoint+prob+lane
PLTB-004	EPL-2025-003	71	NEW	BHA	wide_right	safe_clearance_lost	low block set	0.42	0.7	low_threat_turnover	0.28	none	t+0:0.10;t+3:0.20;t+6:0.28	low	Turnover not lethal	Premier League only.	breakpoint+prob+lane
PLTB-005	EPL-2025-005	83	CHE	MUN	right_channel	failed_cross_clearance	deep block tired	0.6	0.46	late_runner_gap	0.66	central	t+0:0.30;t+3:0.52;t+6:0.66	medium	Late runner risk	Premier League only.	breakpoint+prob+lane
PLTB-006	EPL-2025-006	27	BHA	EVE	central	intercepted_vertical_pass	midfield bypassed	0.75	0.44	midfield_bypass	0.79	left_channel	t+0:0.38;t+3:0.66;t+6:0.79	high	Midfield removed	Premier League only.	breakpoint+prob+lane

What this dataset tests

Whether an intelligence system can estimate
which transitions will break a defensive structure
and how quickly collapse probability rises.

Required outputs

transition breakpoint type
collapse probability
imbalance index
reformation speed index
best counter lane
collapse probability curve
expected chance quality band

Use case

Third layer of Game State Coherence & Fragility Maps.

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Total file size:

6.77 kB