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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 ({'__index_level_0__'})
This happened while the csv dataset builder was generating data using
hf://datasets/ClarusC64/fusion-tbr-breeder-extraction-decoupling-drift-detection-v0.1/data/test.csv (at revision 4f69217cd830f8b3f43a91cc78d396807c8a06a0), [/tmp/hf-datasets-cache/medium/datasets/39733377383685-config-parquet-and-info-ClarusC64-fusion-tbr-bree-73e9949f/hub/datasets--ClarusC64--fusion-tbr-breeder-extraction-decoupling-drift-detection-v0.1/snapshots/4f69217cd830f8b3f43a91cc78d396807c8a06a0/data/test.csv (origin=hf://datasets/ClarusC64/fusion-tbr-breeder-extraction-decoupling-drift-detection-v0.1@4f69217cd830f8b3f43a91cc78d396807c8a06a0/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
reactor_class: string
blanket_type: string
breeder_material: int64
operating_hours: double
neutron_flux_1e14_cm2s: double
spectrum_hardness_index: double
breeder_lithium_inventory_frac: double
local_depletion_gradient: int64
helium_production_appm: int64
tritium_generated_g_day: int64
tritium_extracted_g_day: double
extraction_efficiency: double
baseline_tbr: double
observed_tbr: double
drift_gradient: double
decoherence_score: double
decoupling_flag: double
primary_decoupling_mode: double
notes: string
__index_level_0__: string
-- schema metadata --
pandas: '{"index_columns": ["__index_level_0__"], "column_indexes": [{"na' + 3020
to
{'id': Value('string'), 'reactor_class': Value('string'), 'blanket_type': Value('string'), 'breeder_material': Value('string'), 'operating_hours': Value('int64'), 'neutron_flux_1e14_cm2s': Value('float64'), 'spectrum_hardness_index': Value('float64'), 'breeder_lithium_inventory_frac': Value('float64'), 'local_depletion_gradient': Value('float64'), 'helium_production_appm': Value('int64'), 'tritium_generated_g_day': Value('int64'), 'tritium_extracted_g_day': Value('int64'), 'extraction_efficiency': Value('float64'), 'baseline_tbr': Value('float64'), 'observed_tbr': Value('float64'), 'drift_gradient': Value('float64'), 'decoherence_score': Value('float64'), 'decoupling_flag': Value('int64'), 'primary_decoupling_mode': 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 ({'__index_level_0__'})
This happened while the csv dataset builder was generating data using
hf://datasets/ClarusC64/fusion-tbr-breeder-extraction-decoupling-drift-detection-v0.1/data/test.csv (at revision 4f69217cd830f8b3f43a91cc78d396807c8a06a0), [/tmp/hf-datasets-cache/medium/datasets/39733377383685-config-parquet-and-info-ClarusC64-fusion-tbr-bree-73e9949f/hub/datasets--ClarusC64--fusion-tbr-breeder-extraction-decoupling-drift-detection-v0.1/snapshots/4f69217cd830f8b3f43a91cc78d396807c8a06a0/data/test.csv (origin=hf://datasets/ClarusC64/fusion-tbr-breeder-extraction-decoupling-drift-detection-v0.1@4f69217cd830f8b3f43a91cc78d396807c8a06a0/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 | reactor_class string | blanket_type string | breeder_material string | operating_hours int64 | neutron_flux_1e14_cm2s float64 | spectrum_hardness_index float64 | breeder_lithium_inventory_frac float64 | local_depletion_gradient float64 | helium_production_appm int64 | tritium_generated_g_day int64 | tritium_extracted_g_day int64 | extraction_efficiency float64 | baseline_tbr float64 | observed_tbr float64 | drift_gradient float64 | decoherence_score float64 | decoupling_flag int64 | primary_decoupling_mode string | notes string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
TBRD-001 | Tokamak | HCPB | Li4SiO4 | 1,400 | 4.9 | 0.43 | 0.93 | 0.07 | 130 | 140 | 114 | 0.81 | 1.11 | 1.1 | 0.02 | 0.08 | 0 | none | Stable |
TBRD-002 | Tokamak | HCPB | Li2TiO3 | 1,700 | 5.2 | 0.46 | 0.91 | 0.09 | 150 | 145 | 115 | 0.79 | 1.09 | 1.07 | 0.03 | 0.1 | 0 | none | Expected drift |
TBRD-003 | Tokamak | HCLL | LiPb | 2,100 | 5.8 | 0.52 | 0.89 | 0.11 | 175 | 152 | 116 | 0.76 | 1.06 | 1.03 | 0.05 | 0.14 | 0 | transport_delay | Small lag |
TBRD-004 | Tokamak | HCLL | LiPb | 2,500 | 6.2 | 0.57 | 0.86 | 0.14 | 205 | 150 | 108 | 0.72 | 1.03 | 0.99 | 0.09 | 0.22 | 1 | extraction_drop | Extraction falling |
TBRD-005 | Tokamak | HCPB | Li2TiO3 | 2,800 | 6.5 | 0.61 | 0.83 | 0.17 | 240 | 146 | 97 | 0.66 | 1 | 0.95 | 0.12 | 0.3 | 1 | inventory_trap | Tritium trapped |
TBRD-006 | Stellarator | HCPB | Li4SiO4 | 1,500 | 4.7 | 0.41 | 0.94 | 0.06 | 120 | 138 | 113 | 0.82 | 1.12 | 1.11 | 0.02 | 0.07 | 0 | none | Stable |
TBRD-007 | Stellarator | HCLL | LiPb | 2,300 | 5.6 | 0.51 | 0.88 | 0.12 | 180 | 148 | 112 | 0.76 | 1.06 | 1.02 | 0.06 | 0.16 | 0 | transport_delay | Manageable lag |
TBRD-008 | Tokamak | HCPB | Li4SiO4 | 3,100 | 6.9 | 0.66 | 0.79 | 0.2 | 285 | 142 | 90 | 0.63 | 0.97 | 0.91 | 0.16 | 0.38 | 1 | extraction_drop | Near threshold |
TBRD-009 | Tokamak | HCLL | LiPb | 3,300 | 7.1 | 0.69 | 0.77 | 0.22 | 310 | 140 | 84 | 0.6 | 0.95 | 0.88 | 0.18 | 0.42 | 1 | mixed | Multiple breaks |
TBRD-010 | Stellarator | HCPB | Li2TiO3 | 2,600 | 5.9 | 0.56 | 0.85 | 0.15 | 210 | 147 | 103 | 0.7 | 1.03 | 0.99 | 0.08 | 0.2 | 0 | none | Stable boundary |
Dataset goal
Detect when breeder depletion state stops predicting extraction performance.
This is the quiet failure mode:
breeder inventory looks adequate
neutron conditions look nominal
observed TBR slides because extraction decouples
Required outputs
drift_gradient
decoherence_score
decoupling_flag
Optional classification
primary_decoupling_mode
none
transport_delay
extraction_drop
inventory_trap
mixed
Typical decoupling patterns
extraction_drop extraction efficiency falls faster than depletion would predict
inventory_trap lithium inventory declines and helium rises but extraction does not track generated tritium
transport_delay generated and extracted remain close but timing lag grows and coherence weakens
Use cases
blanket operations and fuel-cycle monitoring
tritium plant tuning and de-trapping cycles
early warning before TBR drops below self-sufficiency
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