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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-decision-space-capacity-baseline-mapping-v0.1/data/test.csv (at revision c0453b3da36f2ba770889e42f3bd136852160ec4), [/tmp/hf-datasets-cache/medium/datasets/35279953990561-config-parquet-and-info-ClarusC64-premier-league--91700114/hub/datasets--ClarusC64--premier-league-decision-space-capacity-baseline-mapping-v0.1/snapshots/c0453b3da36f2ba770889e42f3bd136852160ec4/data/test.csv (origin=hf://datasets/ClarusC64/premier-league-decision-space-capacity-baseline-mapping-v0.1@c0453b3da36f2ba770889e42f3bd136852160ec4/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_window: string
              team: string
              player_id: string
              position_role: string
              context_summary: double
              baseline_decision_space_size: double
              option_diversity_index: double
              perception_execution_latency_ms: double
              role_expected_option_band: double
              baseline_predictability_score: double
              notes: string
              constraints: string
              gold_checklist: string
              __index_level_0__: string
              -- schema metadata --
              pandas: '{"index_columns": ["__index_level_0__"], "column_indexes": [{"na' + 2296
              to
              {'id': Value('string'), 'match_id': Value('string'), 'minute_window': Value('string'), 'team': Value('string'), 'player_id': Value('string'), 'position_role': Value('string'), 'context_summary': Value('string'), 'baseline_decision_space_size': Value('int64'), 'option_diversity_index': Value('float64'), 'perception_execution_latency_ms': Value('int64'), 'role_expected_option_band': Value('string'), 'baseline_predictability_score': Value('float64'), '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-decision-space-capacity-baseline-mapping-v0.1/data/test.csv (at revision c0453b3da36f2ba770889e42f3bd136852160ec4), [/tmp/hf-datasets-cache/medium/datasets/35279953990561-config-parquet-and-info-ClarusC64-premier-league--91700114/hub/datasets--ClarusC64--premier-league-decision-space-capacity-baseline-mapping-v0.1/snapshots/c0453b3da36f2ba770889e42f3bd136852160ec4/data/test.csv (origin=hf://datasets/ClarusC64/premier-league-decision-space-capacity-baseline-mapping-v0.1@c0453b3da36f2ba770889e42f3bd136852160ec4/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_window
string
team
string
player_id
string
position_role
string
context_summary
string
baseline_decision_space_size
int64
option_diversity_index
float64
perception_execution_latency_ms
int64
role_expected_option_band
string
baseline_predictability_score
float64
notes
string
constraints
string
gold_checklist
string
DSCB-001
EPL-2025-301
05-15
ARS
ARS-6
pivot
build vs mid-block; frequent receive under light pressure
8
0.74
520
pivot_high
0.28
Healthy option range
Premier League only.
baseline+latency+band
DSCB-002
EPL-2025-302
05-15
LIV
LIV-8R
8_right
halfspace receive + turn under chase
7
0.68
560
8_high
0.32
Good variety
Premier League only.
baseline+latency+band
DSCB-003
EPL-2025-303
05-15
MCI
MCI-10
10
between lines; tight marking; quick layoffs
6
0.62
600
10_medium
0.4
Role constrained by marking
Premier League only.
baseline+latency+band
DSCB-004
EPL-2025-304
05-15
NEW
NEW-RB
fullback
wide receive; press approach; overlap options
5
0.58
630
fb_medium
0.44
Limited interior options
Premier League only.
baseline+latency+band
DSCB-005
EPL-2025-305
05-15
CHE
CHE-9
striker
back to goal; layoffs; runs behind
4
0.5
650
9_low
0.52
Fewer branches by role
Premier League only.
baseline+latency+band
DSCB-006
EPL-2025-306
05-15
TOT
TOT-LW
winger_left
1v1 threat; inside/outside; cutback patterns
6
0.7
570
wing_high
0.3
Wide decision variety
Premier League only.
baseline+latency+band

What this dataset tests

Whether a system can estimate a player baseline
for decision-space size, diversity, and latency.

Required outputs

  • baseline decision-space size
  • option diversity index
  • perception–execution latency ms
  • role expected option band
  • baseline predictability score

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