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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)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 | 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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