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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 5 new columns ({'__index_level_3__', '__index_level_2__', '__index_level_1__', '__index_level_0__', '__index_level_4__'})

This happened while the csv dataset builder was generating data using

hf://datasets/ClarusC64/premier-league-substitution-injury-linkage-resilience-simulation-v0.1/data/test.csv (at revision d689ff178979912183880099ee02c8eee1f2498a), [/tmp/hf-datasets-cache/medium/datasets/96563623047885-config-parquet-and-info-ClarusC64-premier-league--c16ebc2d/hub/datasets--ClarusC64--premier-league-substitution-injury-linkage-resilience-simulation-v0.1/snapshots/d689ff178979912183880099ee02c8eee1f2498a/data/test.csv (origin=hf://datasets/ClarusC64/premier-league-substitution-injury-linkage-resilience-simulation-v0.1@d689ff178979912183880099ee02c8eee1f2498a/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: string
              team: double
              removed_player: double
              removal_reason: double
              baseline_linkage_summary: double
              replacement_candidates: double
              viable_replacement_set: double
              post_sub_linkage_resilience: string
              resilience_delta_percent: string
              formation_stability_score: string
              collapse_risk_band: string
              notes: string
              constraints: string
              gold_checklist: string
              __index_level_0__: string
              __index_level_1__: string
              __index_level_2__: int64
              __index_level_3__: string
              __index_level_4__: int64
              -- schema metadata --
              pandas: '{"index_columns": ["__index_level_0__", "__index_level_1__", "__' + 2972
              to
              {'id': Value('string'), 'match_id': Value('string'), 'minute': Value('int64'), 'team': Value('string'), 'removed_player': Value('string'), 'removal_reason': Value('string'), 'baseline_linkage_summary': Value('string'), 'replacement_candidates': Value('string'), 'viable_replacement_set': Value('string'), 'post_sub_linkage_resilience': Value('float64'), 'resilience_delta_percent': Value('float64'), 'formation_stability_score': Value('float64'), 'collapse_risk_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 5 new columns ({'__index_level_3__', '__index_level_2__', '__index_level_1__', '__index_level_0__', '__index_level_4__'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/ClarusC64/premier-league-substitution-injury-linkage-resilience-simulation-v0.1/data/test.csv (at revision d689ff178979912183880099ee02c8eee1f2498a), [/tmp/hf-datasets-cache/medium/datasets/96563623047885-config-parquet-and-info-ClarusC64-premier-league--c16ebc2d/hub/datasets--ClarusC64--premier-league-substitution-injury-linkage-resilience-simulation-v0.1/snapshots/d689ff178979912183880099ee02c8eee1f2498a/data/test.csv (origin=hf://datasets/ClarusC64/premier-league-substitution-injury-linkage-resilience-simulation-v0.1@d689ff178979912183880099ee02c8eee1f2498a/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
removed_player
string
removal_reason
string
baseline_linkage_summary
string
replacement_candidates
string
viable_replacement_set
string
post_sub_linkage_resilience
float64
resilience_delta_percent
float64
formation_stability_score
float64
collapse_risk_band
string
notes
string
constraints
string
gold_checklist
string
SILRS-001
EPL-2025-120
61
ARS
6
fatigue
single pivot bridge; SPoF true
8_drop;RB_invert;sub_6_like_for_like
sub_6_like_for_like
0.62
-0.1
0.78
medium
Like-for-like keeps links
Premier League only.
delta+viable+risk
SILRS-002
EPL-2025-120
61
ARS
6
injury
single pivot bridge; SPoF true
8_drop;RB_invert;CB_step
8_drop
0.52
-0.24
0.7
medium-high
No true 6 available
Premier League only.
delta+viable+risk
SILRS-003
EPL-2025-125
74
CHE
10
tactical
10 is connector but marked
winger_in;8_push;switch_to_4-3-3
switch_to_4-3-3
0.6
-0.06
0.76
medium
System fix via shape
Premier League only.
delta+viable+risk
SILRS-004
EPL-2025-124
68
NEW
LW
injury
left weak linkage; right ok
youth_winger;RB_overlap;8_left_shift
8_left_shift
0.58
-0.04
0.74
low-medium
Shift 8 left stabilizes
Premier League only.
delta+viable+risk
SILRS-005
EPL-2025-122
80
LIV
RBin
fatigue
RBin is alt bridge
RB_stay_wide;6_drop;sub_RB_like
6_drop
0.6
-0.08
0.72
medium
Restore bridge via 6
Premier League only.
delta+viable+risk
SILRS-006
EPL-2025-123
55
EVE
9
injury
direct link via 9; SPoF true
10_false9;winger_up;sub_striker
sub_striker
0.56
-0.12
0.68
medium
Direct plan needs striker
Premier League only.
delta+viable+risk

What this dataset tests

Whether an intelligence system can simulate
player removal and replacement
and estimate post-change linkage resilience.

Required outputs

  • viable replacement set
  • post-sub linkage resilience
  • resilience delta percent
  • formation stability score
  • collapse risk band

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