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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-structural-fragility-spike-detection-v0.1/data/test.csv (at revision 98729e0e456b9016f1aff20e9806e48de9bc01a3), [/tmp/hf-datasets-cache/medium/datasets/93811649816144-config-parquet-and-info-ClarusC64-premier-league--aa721db3/hub/datasets--ClarusC64--premier-league-structural-fragility-spike-detection-v0.1/snapshots/98729e0e456b9016f1aff20e9806e48de9bc01a3/data/test.csv (origin=hf://datasets/ClarusC64/premier-league-structural-fragility-spike-detection-v0.1@98729e0e456b9016f1aff20e9806e48de9bc01a3/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
              game_phase: double
              fragility_score: double
              line_separation_index: double
              recovery_delay_index: double
              role_overload_index: double
              single_event_dependency_flag: double
              fragility_spike_trigger: double
              fragility_zone_map: double
              notes: string
              constraints: string
              gold_checklist: string
              __index_level_0__: string
              -- schema metadata --
              pandas: '{"index_columns": ["__index_level_0__"], "column_indexes": [{"na' + 2245
              to
              {'id': Value('string'), 'match_id': Value('string'), 'minute': Value('int64'), 'team': Value('string'), 'game_phase': Value('string'), 'fragility_score': Value('float64'), 'line_separation_index': Value('float64'), 'recovery_delay_index': Value('float64'), 'role_overload_index': Value('float64'), 'single_event_dependency_flag': Value('bool'), 'fragility_spike_trigger': Value('string'), 'fragility_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 1 new columns ({'__index_level_0__'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/ClarusC64/premier-league-structural-fragility-spike-detection-v0.1/data/test.csv (at revision 98729e0e456b9016f1aff20e9806e48de9bc01a3), [/tmp/hf-datasets-cache/medium/datasets/93811649816144-config-parquet-and-info-ClarusC64-premier-league--aa721db3/hub/datasets--ClarusC64--premier-league-structural-fragility-spike-detection-v0.1/snapshots/98729e0e456b9016f1aff20e9806e48de9bc01a3/data/test.csv (origin=hf://datasets/ClarusC64/premier-league-structural-fragility-spike-detection-v0.1@98729e0e456b9016f1aff20e9806e48de9bc01a3/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
fragility_score
float64
line_separation_index
float64
recovery_delay_index
float64
role_overload_index
float64
single_event_dependency_flag
bool
fragility_spike_trigger
string
fragility_zone_map
string
notes
string
constraints
string
gold_checklist
string
PLFSD-001
EPL-2025-001
19
ARS
pressed_buildout
0.7
0.62
0.58
0.55
true
RB trapped; 6 screened
right_halfspace
One pass breaks line
Premier League only.
fragility+indices+trigger
PLFSD-002
EPL-2025-001
44
TOT
defensive_transition
0.78
0.66
0.72
0.6
true
8 caught high; CB steps late
central
Counter threat rising
Premier League only.
fragility+indices+trigger
PLFSD-003
EPL-2025-002
42
MCI
defensive_transition
0.82
0.7
0.76
0.62
true
rest defense 2v3
central+right
Fragility spike before foul
Premier League only.
fragility+indices+trigger
PLFSD-004
EPL-2025-003
71
NEW
low_block
0.55
0.4
0.35
0.45
false
block intact
wide_right
Low fragility
Premier League only.
fragility+indices+trigger
PLFSD-005
EPL-2025-004
58
LIV
high_press
0.74
0.6
0.68
0.58
true
press beaten; back line exposed
left_channel
Line split risk
Premier League only.
fragility+indices+trigger
PLFSD-006
EPL-2025-005
83
CHE
protecting_lead
0.69
0.56
0.6
0.52
true
fatigue; late runner untracked
right_channel
Late game fragility
Premier League only.
fragility+indices+trigger

What this dataset tests

Whether an intelligence system can detect
live structural fragility spikes
before a breakdown occurs.

Required outputs

  • fragility score
  • line separation
  • recovery delay
  • role overload
  • single-event dependency
  • spike trigger
  • fragility zone map

Use case

Second layer of Game State Coherence & Fragility Maps.

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