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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 1 new columns ({'__index_level_0__'})

This happened while the csv dataset builder was generating data using

hf://datasets/ClarusC64/premier-league-basin-exit-intervention-leverage-planning-v0.1/data/test.csv (at revision 16d5bbae3adfb1351dca9a38bb3d778acafb414d), [/tmp/hf-datasets-cache/medium/datasets/28869417402106-config-parquet-and-info-ClarusC64-premier-league--a683e85f/hub/datasets--ClarusC64--premier-league-basin-exit-intervention-leverage-planning-v0.1/snapshots/16d5bbae3adfb1351dca9a38bb3d778acafb414d/data/test.csv (origin=hf://datasets/ClarusC64/premier-league-basin-exit-intervention-leverage-planning-v0.1@16d5bbae3adfb1351dca9a38bb3d778acafb414d/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: string
              basin_state_summary: double
              leverage_window_score: double
              minimal_intervention_set: double
              expected_exit_time: double
              intervention_risk_tradeoff: double
              basin_exit_probability: double
              delay_cost_index: double
              intervention_rationale: double
              notes: string
              constraints: string
              gold_checklist: string
              __index_level_0__: string
              -- schema metadata --
              pandas: '{"index_columns": ["__index_level_0__"], "column_indexes": [{"na' + 2273
              to
              {'id': Value('string'), 'match_id': Value('string'), 'minute': Value('int64'), 'team': Value('string'), 'basin_state_summary': Value('string'), 'leverage_window_score': Value('float64'), 'minimal_intervention_set': Value('string'), 'expected_exit_time': Value('string'), 'intervention_risk_tradeoff': Value('string'), 'basin_exit_probability': Value('float64'), 'delay_cost_index': Value('float64'), 'intervention_rationale': 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-basin-exit-intervention-leverage-planning-v0.1/data/test.csv (at revision 16d5bbae3adfb1351dca9a38bb3d778acafb414d), [/tmp/hf-datasets-cache/medium/datasets/28869417402106-config-parquet-and-info-ClarusC64-premier-league--a683e85f/hub/datasets--ClarusC64--premier-league-basin-exit-intervention-leverage-planning-v0.1/snapshots/16d5bbae3adfb1351dca9a38bb3d778acafb414d/data/test.csv (origin=hf://datasets/ClarusC64/premier-league-basin-exit-intervention-leverage-planning-v0.1@16d5bbae3adfb1351dca9a38bb3d778acafb414d/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
basin_state_summary
string
leverage_window_score
float64
minimal_intervention_set
string
expected_exit_time
string
intervention_risk_tradeoff
string
basin_exit_probability
float64
delay_cost_index
float64
intervention_rationale
string
notes
string
constraints
string
gold_checklist
string
BEILP-001
EPL-2025-021
32
EVE
negative basin: pinned RB; turnovers central; clearances return wave
0.72
formation tweak to add 2nd outlet; tactical foul to stop transition
5-8 min
medium
0.68
0.55
Add outlet breaks press loop; foul resets tempo
Small move high leverage
Premier League only.
leverage+set+prob
BEILP-002
EPL-2025-044
55
TOT
negative basin: midfield bypass; backline retreat; counters conceded
0.6
substitute fresh 6; drop press line 5m; stop jumping fullback
8-12 min
low-medium
0.62
0.6
Stabilize central lane; reduce line split
Stability first
Premier League only.
leverage+set+prob
BEILP-003
EPL-2025-063
81
CHE
negative basin: fatigue; card risk; set-pieces conceded
0.55
sub on fullback; slow tempo; clear long to touch
6-10 min
low
0.58
0.65
Reduce repeated defensive actions; lower chaos
Late game dampening
Premier League only.
leverage+set+prob
BEILP-004
EPL-2025-006
27
EVE
negative basin: midfield bypass; second balls lost
0.66
switch to double pivot; target striker for hold-up
7-11 min
medium
0.64
0.58
Create stable second-ball platform
Exit via structure
Premier League only.
leverage+set+prob
BEILP-005
EPL-2025-010
57
LIV
negative basin: press beaten; back line exposed
0.62
stop full press; set mid-block trigger; tactical foul on first break
4-7 min
medium
0.65
0.62
Remove transition speed; restore spacing
Reset risk
Premier League only.
leverage+set+prob
BEILP-006
EPL-2025-018
68
NEW
negative basin: repeated cheap fouls; loss of territory
0.7
sub fresh winger; play direct into corners; stop central turnovers
5-9 min
low-medium
0.67
0.56
Change ball loss geography; reduce counter threat
Geography shift
Premier League only.
leverage+set+prob

What this dataset tests

Whether an intelligence system can propose minimal interventions that shift a team out of a negative momentum basin.

Required outputs

  • leverage window score
  • minimal intervention set
  • expected exit time
  • risk tradeoff
  • basin exit probability
  • delay cost index
  • intervention rationale

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