Datasets:

ClarusC64
/

F1-cross-component-coherence-monitoring-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/F1-cross-component-coherence-monitoring-v0.1/data/test.csv (at revision 1b5c9878f16aaf545a1ef179a9e9e60a50a93f39), [/tmp/hf-datasets-cache/medium/datasets/53555416973519-config-parquet-and-info-ClarusC64-F1-cross-compon-7d64d512/hub/datasets--ClarusC64--F1-cross-component-coherence-monitoring-v0.1/snapshots/1b5c9878f16aaf545a1ef179a9e9e60a50a93f39/data/test.csv (origin=hf://datasets/ClarusC64/F1-cross-component-coherence-monitoring-v0.1@1b5c9878f16aaf545a1ef179a9e9e60a50a93f39/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
              component_pair: string
              sensor_stream_summary: double
              baseline_correlation: double
              window_correlation: double
              coherence_score: double
              decoupling_flag: double
              onset_lap: double
              severity_gradient: double
              failure_risk_score: double
              notes: string
              constraints: string
              gold_checklist: string
              __index_level_0__: string
              -- schema metadata --
              pandas: '{"index_columns": ["__index_level_0__"], "column_indexes": [{"na' + 1998
              to
              {'id': Value('string'), 'component_pair': Value('string'), 'sensor_stream_summary': Value('string'), 'baseline_correlation': Value('float64'), 'window_correlation': Value('float64'), 'coherence_score': Value('float64'), 'decoupling_flag': Value('int64'), 'onset_lap': Value('int64'), 'severity_gradient': Value('float64'), 'failure_risk_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/F1-cross-component-coherence-monitoring-v0.1/data/test.csv (at revision 1b5c9878f16aaf545a1ef179a9e9e60a50a93f39), [/tmp/hf-datasets-cache/medium/datasets/53555416973519-config-parquet-and-info-ClarusC64-F1-cross-compon-7d64d512/hub/datasets--ClarusC64--F1-cross-component-coherence-monitoring-v0.1/snapshots/1b5c9878f16aaf545a1ef179a9e9e60a50a93f39/data/test.csv (origin=hf://datasets/ClarusC64/F1-cross-component-coherence-monitoring-v0.1@1b5c9878f16aaf545a1ef179a9e9e60a50a93f39/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	component_pair string	sensor_stream_summary string	baseline_correlation float64	window_correlation float64	coherence_score float64	decoupling_flag int64	onset_lap int64	severity_gradient float64	failure_risk_score float64	notes string	constraints string	gold_checklist string
CCM-001	brake_temp\|pad_wear	temps rising; wear accelerating; vibration stable	0.88	0.41	0.47	1	32	0.62	0.71	Pad wear decoupling precedes fade	<900 words	score+flag+onset+severity+risk
CCM-002	oil_pressure\|engine_rpm	rpm stable; pressure drifting down	0.91	0.52	0.57	1	18	0.48	0.63	Pressure drop under constant load	<900 words	score+flag+onset+severity+risk
CCM-003	battery_temp\|ers_deploy	temps stable; deploy oscillating	0.84	0.79	0.82	0	0	0.1	0.08	Normal oscillation within range	<900 words	score+flag+onset+severity+risk
CCM-004	gearbox_temp\|shift_latency	latency rising; temp steady	0.86	0.39	0.45	1	41	0.67	0.75	Latency decouples before gearbox fault	<900 words	score+flag+onset+severity+risk
CCM-005	tire_temp_fl\|slip_angle_fl	temp stable; slip erratic	0.8	0.46	0.52	1	27	0.55	0.61	Front-left instability emerging	<900 words	score+flag+onset+severity+risk
CCM-006	coolant_temp\|engine_load	both rising together	0.89	0.85	0.87	0	0	0.05	0.06	Healthy coupling	<900 words	score+flag+onset+severity+risk

What this dataset tests

Whether an intelligence system can detect loss of correlation between linked mechanical components before failure occurs.

This is not threshold detection.
It is coherence decay detection.

Required outputs

coherence_score
decoupling_flag
onset_lap
severity_gradient
failure_risk_score

Use case

Layer one of the Failure Cascade Graph trinity.

Used for:

predictive reliability
telemetry coherence monitoring
early warning dashboards

Evaluation

The scorer checks:

numeric validity of outputs
presence of all required fields
structural correctness
decoupling classification

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