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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/euv-stochastic-yield-failure-horizon-routing-v0.1/data/test.csv (at revision 32510b0360154857be72ac80a9f6226e6e325f91), [/tmp/hf-datasets-cache/medium/datasets/19512694578413-config-parquet-and-info-ClarusC64-euv-stochastic--a7cac6b0/hub/datasets--ClarusC64--euv-stochastic-yield-failure-horizon-routing-v0.1/snapshots/32510b0360154857be72ac80a9f6226e6e325f91/data/test.csv (origin=hf://datasets/ClarusC64/euv-stochastic-yield-failure-horizon-routing-v0.1@32510b0360154857be72ac80a9f6226e6e325f91/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
              case_title: string
              photon_flux_cv_delta: double
              source_pulse_energy_cv_delta: double
              resist_sensitivity_delta_pct: double
              ler_sigma_delta_nm: double
              stochastic_defect_ppm_delta: int64
              yield_delta_pct: double
              coherence_score_delta: double
              drift_score: double
              failure_horizon_lots: string
              intervention_route: string
              notes: string
              constraints: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2131
              to
              {'id': Value('string'), 'case_title': Value('string'), 'photon_flux_cv_delta': Value('float64'), 'source_pulse_energy_cv_delta': Value('float64'), 'resist_sensitivity_delta_pct': Value('float64'), 'ler_sigma_delta_nm': Value('float64'), 'stochastic_defect_ppm_delta': Value('int64'), 'yield_delta_pct': Value('float64'), 'coherence_score_delta': Value('float64'), 'drift_score': Value('float64'), 'failure_horizon_lots': Value('int64'), 'intervention_route': Value('string'), '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/euv-stochastic-yield-failure-horizon-routing-v0.1/data/test.csv (at revision 32510b0360154857be72ac80a9f6226e6e325f91), [/tmp/hf-datasets-cache/medium/datasets/19512694578413-config-parquet-and-info-ClarusC64-euv-stochastic--a7cac6b0/hub/datasets--ClarusC64--euv-stochastic-yield-failure-horizon-routing-v0.1/snapshots/32510b0360154857be72ac80a9f6226e6e325f91/data/test.csv (origin=hf://datasets/ClarusC64/euv-stochastic-yield-failure-horizon-routing-v0.1@32510b0360154857be72ac80a9f6226e6e325f91/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
case_title
string
photon_flux_cv_delta
float64
source_pulse_energy_cv_delta
float64
resist_sensitivity_delta_pct
float64
ler_sigma_delta_nm
float64
stochastic_defect_ppm_delta
int64
yield_delta_pct
float64
coherence_score_delta
float64
drift_score
float64
failure_horizon_lots
int64
intervention_route
string
notes
string
SYF-001
Stable baseline
0
0
0
0
0
0
0
0.05
999
none
Stable process
SYF-002
Minor source noise
0.004
0.003
0
0.2
2
-0.2
-0.02
0.12
300
monitor
Noise rising slowly
SYF-003
Resist sensitivity drift
0
0
5
0.4
5
-0.5
-0.04
0.22
180
resist_recalibration
Resist drift visible
SYF-004
Coupled drift onset
0.007
0.006
5
0.6
8
-0.8
-0.07
0.34
120
coupled_adjustment
Early coupled drift
SYF-005
Defect clustering start
0.01
0.009
6
0.9
15
-1.5
-0.12
0.48
80
source_stabilization
Clusters forming
SYF-006
Source dominant instability
0.014
0.012
2
1.1
22
-2.4
-0.18
0.58
60
laser_tuning
Source jitter rising
SYF-007
Resist dominant instability
0.003
0.002
10
1.3
28
-3
-0.2
0.62
50
resist_recalibration
Blur rising
SYF-008
High stochastic drift
0.018
0.016
11
1.6
40
-4.5
-0.28
0.74
35
coupled_adjustment
Defects accelerating
SYF-009
Severe yield collapse risk
0.022
0.02
13
2
60
-7
-0.36
0.86
20
stop_and_clean
Near collapse
SYF-010
Extreme collapse
0.028
0.024
15
2.5
90
-10
-0.48
0.95
5
halt_process
Immediate failure

Purpose

Yield does not collapse instantly.
It drifts.

The early signal is coherence decay between:

source noise
resist response
LER spread
defect clustering
yield loss

This dataset predicts:

how far the system drifted
how many lots remain before yield collapse
what intervention stabilizes the line

Task

Return JSON:

drift_score
failure_horizon_lots
intervention_route

Example

{"drift_score":0.58,"failure_horizon_lots":60,"intervention_route":"laser_tuning"}

Route options

none
monitor
resist_recalibration
source_stabilization
laser_tuning
coupled_adjustment
stop_and_clean
halt_process

Inputs

All values are deltas vs a known stable window.

photon_flux_cv_delta
source_pulse_energy_cv_delta
resist_sensitivity_delta_pct
ler_sigma_delta_nm
stochastic_defect_ppm_delta
yield_delta_pct
coherence_score_delta

Output meaning

drift_score
Distance from stable process manifold

failure_horizon_lots
Lots remaining before yield becomes non-viable

intervention_route
Minimal action to restore coherence

Version

v0.1

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