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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 ({'__index_level_0__'})

This happened while the csv dataset builder was generating data using

hf://datasets/ClarusC64/fusion-tbr-neutron-breeder-coherence-baseline-mapping-v0.1/data/test.csv (at revision 45bea84b00742abf0e26137759a24356922a5950), [/tmp/hf-datasets-cache/medium/datasets/51746340275202-config-parquet-and-info-ClarusC64-fusion-tbr-neut-103c523b/hub/datasets--ClarusC64--fusion-tbr-neutron-breeder-coherence-baseline-mapping-v0.1/snapshots/45bea84b00742abf0e26137759a24356922a5950/data/test.csv (origin=hf://datasets/ClarusC64/fusion-tbr-neutron-breeder-coherence-baseline-mapping-v0.1@45bea84b00742abf0e26137759a24356922a5950/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
              fast_flux_fraction: double
              li6_enrichment_frac: double
              breeder_lithium_inventory_frac: double
              local_depletion_gradient: int64
              helium_production_appm: double
              extraction_efficiency: double
              baseline_tbr: double
              baseline_coherence_score: double
              decoupling_flag: double
              notes: string
              __index_level_0__: string
              -- schema metadata --
              pandas: '{"index_columns": ["__index_level_0__"], "column_indexes": [{"na' + 2623
              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'), 'fast_flux_fraction': Value('float64'), 'li6_enrichment_frac': Value('float64'), 'breeder_lithium_inventory_frac': Value('float64'), 'local_depletion_gradient': Value('float64'), 'helium_production_appm': Value('int64'), 'extraction_efficiency': Value('float64'), 'baseline_tbr': Value('float64'), 'baseline_coherence_score': Value('float64'), 'decoupling_flag': Value('int64'), '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-neutron-breeder-coherence-baseline-mapping-v0.1/data/test.csv (at revision 45bea84b00742abf0e26137759a24356922a5950), [/tmp/hf-datasets-cache/medium/datasets/51746340275202-config-parquet-and-info-ClarusC64-fusion-tbr-neut-103c523b/hub/datasets--ClarusC64--fusion-tbr-neutron-breeder-coherence-baseline-mapping-v0.1/snapshots/45bea84b00742abf0e26137759a24356922a5950/data/test.csv (origin=hf://datasets/ClarusC64/fusion-tbr-neutron-breeder-coherence-baseline-mapping-v0.1@45bea84b00742abf0e26137759a24356922a5950/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
reactor_class
string
blanket_type
string
breeder_material
string
operating_hours
int64
neutron_flux_1e14_cm2s
float64
spectrum_hardness_index
float64
fast_flux_fraction
float64
li6_enrichment_frac
float64
breeder_lithium_inventory_frac
float64
local_depletion_gradient
float64
helium_production_appm
int64
extraction_efficiency
float64
baseline_tbr
float64
baseline_coherence_score
float64
decoupling_flag
int64
notes
string
TBRB-001
Tokamak
HCPB
Li4SiO4
1,200
4.8
0.42
0.28
0.6
0.94
0.06
120
0.82
1.12
0.93
0
Stable baseline
TBRB-002
Tokamak
HCPB
Li2TiO3
1,500
5.1
0.45
0.3
0.6
0.92
0.08
140
0.8
1.1
0.91
0
Expected coupling
TBRB-003
Tokamak
HCLL
LiPb
1,800
5.6
0.5
0.34
0.3
0.9
0.1
160
0.78
1.08
0.89
0
Higher fast fraction
TBRB-004
Tokamak
HCLL
LiPb
2,200
6
0.55
0.38
0.3
0.87
0.13
190
0.75
1.05
0.86
0
Drift starting
TBRB-005
Tokamak
HCPB
Li2TiO3
2,600
6.3
0.6
0.41
0.6
0.84
0.16
230
0.7
1.01
0.79
1
Coherence weakening
TBRB-006
Stellarator
HCPB
Li4SiO4
1,300
4.5
0.4
0.26
0.6
0.95
0.05
110
0.83
1.13
0.94
0
Stable
TBRB-007
Stellarator
HCPB
Li2TiO3
1,700
4.9
0.44
0.29
0.6
0.93
0.07
135
0.81
1.11
0.92
0
Nominal
TBRB-008
Stellarator
HCLL
LiPb
2,400
5.8
0.54
0.37
0.3
0.88
0.12
185
0.76
1.06
0.87
0
Coupled response
TBRB-009
Tokamak
HCLL
LiPb
3,000
6.6
0.63
0.45
0.3
0.82
0.18
260
0.66
0.98
0.74
1
TBR near threshold
TBRB-010
Tokamak
HCPB
Li4SiO4
3,200
6.8
0.66
0.47
0.6
0.8
0.2
280
0.64
0.96
0.71
1
Baseline decoupling risk

Dataset goal

Establish the baseline coupling between:

neutron flux spectrum (intensity and hardness)

breeder lithiation and depletion state

extraction efficiency

resulting baseline TBR

This is the baseline layer before drift detection.

Required outputs

baseline_tbr

baseline_coherence_score

decoupling_flag

What failure looks like

spectrum hardens but TBR drops faster than expected

breeder inventory appears adequate yet TBR trends down

helium production and depletion gradients rise while extraction degrades

Primary users

fusion blanket designers

tritium plant and extraction engineering

reactor operations and fuel-cycle teams

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