Datasets:

ClarusC64
/

premier-league-momentum-basin-entry-detection-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-momentum-basin-entry-detection-v0.1/data/test.csv (at revision 8fc7867b273dac4ba624aff82b8b9ed76d9041f5), [/tmp/hf-datasets-cache/medium/datasets/96178764097353-config-parquet-and-info-ClarusC64-premier-league--3171893a/hub/datasets--ClarusC64--premier-league-momentum-basin-entry-detection-v0.1/snapshots/8fc7867b273dac4ba624aff82b8b9ed76d9041f5/data/test.csv (origin=hf://datasets/ClarusC64/premier-league-momentum-basin-entry-detection-v0.1@8fc7867b273dac4ba624aff82b8b9ed76d9041f5/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
              event_stream_summary: double
              positive_event_cluster_score: double
              negative_event_cluster_score: double
              basin_polarity: double
              momentum_entry_timestamp: double
              basin_entry_confidence: double
              basin_entry_trigger: double
              supporting_event_cluster: double
              notes: string
              constraints: string
              gold_checklist: string
              __index_level_0__: string
              -- schema metadata --
              pandas: '{"index_columns": ["__index_level_0__"], "column_indexes": [{"na' + 2312
              to
              {'id': Value('string'), 'match_id': Value('string'), 'minute_window': Value('string'), 'team': Value('string'), 'event_stream_summary': Value('string'), 'positive_event_cluster_score': Value('float64'), 'negative_event_cluster_score': Value('float64'), 'basin_polarity': Value('string'), 'momentum_entry_timestamp': Value('string'), 'basin_entry_confidence': Value('float64'), 'basin_entry_trigger': Value('string'), 'supporting_event_cluster': 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-momentum-basin-entry-detection-v0.1/data/test.csv (at revision 8fc7867b273dac4ba624aff82b8b9ed76d9041f5), [/tmp/hf-datasets-cache/medium/datasets/96178764097353-config-parquet-and-info-ClarusC64-premier-league--3171893a/hub/datasets--ClarusC64--premier-league-momentum-basin-entry-detection-v0.1/snapshots/8fc7867b273dac4ba624aff82b8b9ed76d9041f5/data/test.csv (origin=hf://datasets/ClarusC64/premier-league-momentum-basin-entry-detection-v0.1@8fc7867b273dac4ba624aff82b8b9ed76d9041f5/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	event_stream_summary string	positive_event_cluster_score float64	negative_event_cluster_score float64	basin_polarity string	momentum_entry_timestamp string	basin_entry_confidence float64	basin_entry_trigger string	supporting_event_cluster string	notes string	constraints string	gold_checklist string
MBED-001	EPL-2025-021	12-16	LIV	3 press wins -> 2 progressive carries -> shot from cutback lane	0.78	0.18	positive	min_14	0.8	repeatable lane access + press chain	press_win;carry;shot	Positive basin entry	Premier League only.	entry+polarity+confidence
MBED-002	EPL-2025-021	28-33	EVE	2 failed buildouts -> turnover -> shot conceded -> panic clearance	0.2	0.76	negative	min_31	0.82	turnover cascade + territory loss	turnover;shot_conceded;clearance	Negative basin entry	Premier League only.	entry+polarity+confidence
MBED-003	EPL-2025-044	40-44	ARS	4 settled possessions ending in zone 14 touches + 2 shots	0.72	0.22	positive	min_42	0.74	territory lock + repeat zone 14 access	zone14_touch;shot;shot	Sustained control becomes basin	Premier League only.	entry+polarity+confidence
MBED-004	EPL-2025-044	52-56	TOT	lost duels -> back line retreats -> midfield split -> counter conceded	0.25	0.7	negative	min_55	0.76	line split + retreat loop	duel_loss;retreat;counter_conceded	Collapse basin forming	Premier League only.	entry+polarity+confidence
MBED-005	EPL-2025-063	66-70	MCI	press trap -> regain -> third-man run -> big chance	0.84	0.12	positive	min_69	0.86	regain-to-chance conversion cluster	trap;regain;third_man;big_chance	High confidence entry	Premier League only.	entry+polarity+confidence
MBED-006	EPL-2025-063	78-82	CHE	miscontrol -> foul -> yellow -> set-piece conceded	0.22	0.64	negative	min_81	0.68	error+discipline cluster	miscontrol;foul;card;set_piece	Negative swing entry	Premier League only.	entry+polarity+confidence

What this dataset tests

Whether an intelligence system can detect when clustered events create a self-reinforcing momentum basin.

Required outputs

momentum entry timestamp
basin polarity
basin entry confidence
entry trigger
supporting event cluster

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Total file size:

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