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Datasets:
ClarusC64
/
fusion-disruption-horizon-forecasting-and-control-routing-v0.1

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Tags:
clarusc64
fusion
plasma
disruption
control
coherence
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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 ({'constraints'})

This happened while the csv dataset builder was generating data using

hf://datasets/ClarusC64/fusion-disruption-horizon-forecasting-and-control-routing-v0.1/data/test.csv (at revision f39e71d29683e912680978bcc8c1b1b78a39a89b), [/tmp/hf-datasets-cache/medium/datasets/46637489090379-config-parquet-and-info-ClarusC64-fusion-disrupti-3f38a229/hub/datasets--ClarusC64--fusion-disruption-horizon-forecasting-and-control-routing-v0.1/snapshots/f39e71d29683e912680978bcc8c1b1b78a39a89b/data/test.csv (origin=hf://datasets/ClarusC64/fusion-disruption-horizon-forecasting-and-control-routing-v0.1@f39e71d29683e912680978bcc8c1b1b78a39a89b/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
              scenario: string
              precursor_type: string
              risk_score: double
              coherence_decay_slope_per_100ms: double
              phase_lag_ms: double
              mode_growth_index: double
              impurity_fraction: double
              actuator_headroom_heating: double
              actuator_headroom_current_drive: double
              actuator_headroom_gas_puff: double
              actuator_headroom_rmp: double
              control_latency_ms: int64
              disruption_horizon_ms: double
              recommended_control_route: double
              expected_coherence_recovery: double
              notes: string
              constraints: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2710
              to
              {'id': Value('string'), 'scenario': Value('string'), 'precursor_type': Value('string'), 'risk_score': Value('float64'), 'coherence_decay_slope_per_100ms': Value('float64'), 'phase_lag_ms': Value('float64'), 'mode_growth_index': Value('float64'), 'impurity_fraction': Value('float64'), 'actuator_headroom_heating': Value('float64'), 'actuator_headroom_current_drive': Value('float64'), 'actuator_headroom_gas_puff': Value('float64'), 'actuator_headroom_rmp': Value('float64'), 'control_latency_ms': Value('int64'), 'disruption_horizon_ms': Value('int64'), 'recommended_control_route': Value('string'), 'expected_coherence_recovery': Value('float64'), 'notes': 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 ({'constraints'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/ClarusC64/fusion-disruption-horizon-forecasting-and-control-routing-v0.1/data/test.csv (at revision f39e71d29683e912680978bcc8c1b1b78a39a89b), [/tmp/hf-datasets-cache/medium/datasets/46637489090379-config-parquet-and-info-ClarusC64-fusion-disrupti-3f38a229/hub/datasets--ClarusC64--fusion-disruption-horizon-forecasting-and-control-routing-v0.1/snapshots/f39e71d29683e912680978bcc8c1b1b78a39a89b/data/test.csv (origin=hf://datasets/ClarusC64/fusion-disruption-horizon-forecasting-and-control-routing-v0.1@f39e71d29683e912680978bcc8c1b1b78a39a89b/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)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

id
string
scenario
string
precursor_type
string
risk_score
float64
coherence_decay_slope_per_100ms
float64
phase_lag_ms
float64
mode_growth_index
float64
impurity_fraction
float64
actuator_headroom_heating
float64
actuator_headroom_current_drive
float64
actuator_headroom_gas_puff
float64
actuator_headroom_rmp
float64
control_latency_ms
int64
disruption_horizon_ms
int64
recommended_control_route
string
expected_coherence_recovery
float64
notes
string
FDH-001
stable_none
none
0.08
0.02
1
0.12
0.06
0.8
0.85
0.7
0.6
25
999
hold_state
0.9
No action required
FDH-002
early_drift
drift
0.22
0.06
2.5
0.18
0.08
0.75
0.8
0.65
0.55
30
220
reduce_power
0.78
Power reduction restores margin
FDH-003
phase_lag_rising
phase_lag
0.35
0.09
6.5
0.22
0.09
0.7
0.78
0.62
0.5
35
160
rmp_enable
0.7
Lag suggests control response issue
FDH-004
mode_growth_mid
mode_growth
0.48
0.12
4
0.55
0.1
0.72
0.76
0.6
0.62
30
130
ramp_current
0.66
Adjust current profile to suppress mode
FDH-005
impurity_runaway_mid
impurity_runaway
0.56
0.14
5
0.35
0.16
0.68
0.7
0.75
0.4
40
115
change_gas_puff
0.62
Gas puffing to reduce impurity load
FDH-006
coupled_decay
drift
0.62
0.18
7.5
0.48
0.18
0.62
0.65
0.55
0.45
45
90
reduce_power
0.55
Multi-axis decay needs margin
FDH-007
fast_mode_growth
mode_growth
0.74
0.22
8
0.7
0.17
0.6
0.62
0.5
0.58
40
65
rmp_enable
0.48
Use RMP to damp instability
FDH-008
impurity_spike_high
impurity_runaway
0.8
0.25
6
0.62
0.24
0.55
0.58
0.8
0.35
50
55
impurity_seeding_adjust
0.44
Seeding adjustment to stabilize radiation
FDH-009
actuators_low_headroom
mode_growth
0.88
0.28
10
0.78
0.22
0.25
0.3
0.2
0.2
60
35
soft_landing
0.3
Not enough control authority for recovery
FDH-010
imminent_disruption
coupled
0.95
0.32
12
0.85
0.26
0.15
0.12
0.1
0.1
65
18
soft_landing
0.18
Prioritize safe shutdown

What this dataset tests

Can a system route control action from a cross-field decoherence state.

Not just alarm.

Forecast: time to disruption best control route expected recovery

Inputs

precursor_type risk_score coherence_decay_slope_per_100ms phase_lag_ms mode_growth_index impurity_fraction

Actuator headroom actuator_headroom_heating actuator_headroom_current_drive actuator_headroom_gas_puff actuator_headroom_rmp

control_latency_ms

Required output

Return JSON

disruption_horizon_ms recommended_control_route expected_coherence_recovery

Example {"disruption_horizon_ms":65,"recommended_control_route":"rmp_enable","expected_coherence_recovery":0.48}

Control route options

hold_state reduce_power ramp_current change_gas_puff impurity_seeding_adjust rmp_enable soft_landing

Output meaning

disruption_horizon_ms Estimated time to quench or major disruption

recommended_control_route Minimal coherent action given actuator headroom and latency

expected_coherence_recovery 0..1 expected return toward baseline coupling within a short horizon

Version

v0.1
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