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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 7 new columns ({'norma_wo', 'regimen', 'norma_wv', 'kappa', 'muestra', 'err_circuito', 'escala'}) and 5 missing columns ({'p_bal', 'e_ident', 'd_r_bal', 'cond_r_bal', 'e_bal'}).

This happened while the csv dataset builder was generating data using

hf://datasets/ManPla/gauge-orbit-quantization-results/artifacts/logs/quant_kappa/quant_familia.csv (at revision ca5d2f2c0f059b0a341029426e121e55995d20ae), ['hf://datasets/ManPla/gauge-orbit-quantization-results@ca5d2f2c0f059b0a341029426e121e55995d20ae/artifacts/logs/quant_kappa/punto_balanceado.csv', 'hf://datasets/ManPla/gauge-orbit-quantization-results@ca5d2f2c0f059b0a341029426e121e55995d20ae/artifacts/logs/quant_kappa/quant_familia.csv', 'hf://datasets/ManPla/gauge-orbit-quantization-results@ca5d2f2c0f059b0a341029426e121e55995d20ae/artifacts/logs/quant_kappa/quant_kappa.csv', 'hf://datasets/ManPla/gauge-orbit-quantization-results@ca5d2f2c0f059b0a341029426e121e55995d20ae/artifacts/logs/quant_orbita/quant_orbita.csv', 'hf://datasets/ManPla/gauge-orbit-quantization-results@ca5d2f2c0f059b0a341029426e121e55995d20ae/artifacts/tables/colapso_producto.csv', 'hf://datasets/ManPla/gauge-orbit-quantization-results@ca5d2f2c0f059b0a341029426e121e55995d20ae/artifacts/tables/consistencia_kappa.csv', 'hf://datasets/ManPla/gauge-orbit-quantization-results@ca5d2f2c0f059b0a341029426e121e55995d20ae/artifacts/tables/contraste_e2e.csv', 'hf://datasets/ManPla/gauge-orbit-quantization-results@ca5d2f2c0f059b0a341029426e121e55995d20ae/artifacts/tables/lectura_fria_pythia_gl.csv', 'hf://datasets/ManPla/gauge-orbit-quantization-results@ca5d2f2c0f059b0a341029426e121e55995d20ae/artifacts/tables/lectura_fria_pythia_q1.csv', 'hf://datasets/ManPla/gauge-orbit-quantization-results@ca5d2f2c0f059b0a341029426e121e55995d20ae/artifacts/tables/lectura_fria_pythia_q2.csv', 'hf://datasets/ManPla/gauge-orbit-quantization-results@ca5d2f2c0f059b0a341029426e121e55995d20ae/artifacts/tables/lectura_fria_pythia_q3.csv', 'hf://datasets/ManPla/gauge-orbit-quantization-results@ca5d2f2c0f059b0a341029426e121e55995d20ae/artifacts/tables/lectura_fria_vitb_gl.csv', 'hf://datasets/ManPla/gauge-orbit-quantization-results@ca5d2f2c0f059b0a341029426e121e55995d20ae/artifacts/tables/lectura_fria_vitb_q1.csv', 'hf://datasets/ManPla/gauge-orbit-quantization-results@ca5d2f2c0f059b0a341029426e121e55995d20ae/artifacts/tables/lectura_fria_vitb_q2.csv', 'hf://datasets/ManPla/gauge-orbit-quantization-results@ca5d2f2c0f059b0a341029426e121e55995d20ae/artifacts/tables/lectura_fria_vitb_q3.csv', 'hf://datasets/ManPla/gauge-orbit-quantization-results@ca5d2f2c0f059b0a341029426e121e55995d20ae/artifacts/tables/lectura_kappa.csv', 'hf://datasets/ManPla/gauge-orbit-quantization-results@ca5d2f2c0f059b0a341029426e121e55995d20ae/artifacts/tables/punto_balanceado.csv', 'hf://datasets/ManPla/gauge-orbit-quantization-results@ca5d2f2c0f059b0a341029426e121e55995d20ae/artifacts/tables/validacion_e2e.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/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              modelo: string
              capa: int64
              cabeza: int64
              regimen: string
              escala: double
              muestra: int64
              bits: int64
              err_circuito: double
              kappa: double
              norma_wv: double
              norma_wo: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1520
              to
              {'modelo': Value('string'), 'capa': Value('int64'), 'cabeza': Value('int64'), 'bits': Value('int64'), 'e_ident': Value('float64'), 'e_bal': Value('float64'), 'p_bal': Value('float64'), 'd_r_bal': Value('float64'), 'cond_r_bal': Value('float64')}
              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 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              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 7 new columns ({'norma_wo', 'regimen', 'norma_wv', 'kappa', 'muestra', 'err_circuito', 'escala'}) and 5 missing columns ({'p_bal', 'e_ident', 'd_r_bal', 'cond_r_bal', 'e_bal'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/ManPla/gauge-orbit-quantization-results/artifacts/logs/quant_kappa/quant_familia.csv (at revision ca5d2f2c0f059b0a341029426e121e55995d20ae), ['hf://datasets/ManPla/gauge-orbit-quantization-results@ca5d2f2c0f059b0a341029426e121e55995d20ae/artifacts/logs/quant_kappa/punto_balanceado.csv', 'hf://datasets/ManPla/gauge-orbit-quantization-results@ca5d2f2c0f059b0a341029426e121e55995d20ae/artifacts/logs/quant_kappa/quant_familia.csv', 'hf://datasets/ManPla/gauge-orbit-quantization-results@ca5d2f2c0f059b0a341029426e121e55995d20ae/artifacts/logs/quant_kappa/quant_kappa.csv', 'hf://datasets/ManPla/gauge-orbit-quantization-results@ca5d2f2c0f059b0a341029426e121e55995d20ae/artifacts/logs/quant_orbita/quant_orbita.csv', 'hf://datasets/ManPla/gauge-orbit-quantization-results@ca5d2f2c0f059b0a341029426e121e55995d20ae/artifacts/tables/colapso_producto.csv', 'hf://datasets/ManPla/gauge-orbit-quantization-results@ca5d2f2c0f059b0a341029426e121e55995d20ae/artifacts/tables/consistencia_kappa.csv', 'hf://datasets/ManPla/gauge-orbit-quantization-results@ca5d2f2c0f059b0a341029426e121e55995d20ae/artifacts/tables/contraste_e2e.csv', 'hf://datasets/ManPla/gauge-orbit-quantization-results@ca5d2f2c0f059b0a341029426e121e55995d20ae/artifacts/tables/lectura_fria_pythia_gl.csv', 'hf://datasets/ManPla/gauge-orbit-quantization-results@ca5d2f2c0f059b0a341029426e121e55995d20ae/artifacts/tables/lectura_fria_pythia_q1.csv', 'hf://datasets/ManPla/gauge-orbit-quantization-results@ca5d2f2c0f059b0a341029426e121e55995d20ae/artifacts/tables/lectura_fria_pythia_q2.csv', 'hf://datasets/ManPla/gauge-orbit-quantization-results@ca5d2f2c0f059b0a341029426e121e55995d20ae/artifacts/tables/lectura_fria_pythia_q3.csv', 'hf://datasets/ManPla/gauge-orbit-quantization-results@ca5d2f2c0f059b0a341029426e121e55995d20ae/artifacts/tables/lectura_fria_vitb_gl.csv', 'hf://datasets/ManPla/gauge-orbit-quantization-results@ca5d2f2c0f059b0a341029426e121e55995d20ae/artifacts/tables/lectura_fria_vitb_q1.csv', 'hf://datasets/ManPla/gauge-orbit-quantization-results@ca5d2f2c0f059b0a341029426e121e55995d20ae/artifacts/tables/lectura_fria_vitb_q2.csv', 'hf://datasets/ManPla/gauge-orbit-quantization-results@ca5d2f2c0f059b0a341029426e121e55995d20ae/artifacts/tables/lectura_fria_vitb_q3.csv', 'hf://datasets/ManPla/gauge-orbit-quantization-results@ca5d2f2c0f059b0a341029426e121e55995d20ae/artifacts/tables/lectura_kappa.csv', 'hf://datasets/ManPla/gauge-orbit-quantization-results@ca5d2f2c0f059b0a341029426e121e55995d20ae/artifacts/tables/punto_balanceado.csv', 'hf://datasets/ManPla/gauge-orbit-quantization-results@ca5d2f2c0f059b0a341029426e121e55995d20ae/artifacts/tables/validacion_e2e.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.

modelo
string
capa
int64
cabeza
int64
bits
int64
e_ident
float64
e_bal
float64
p_bal
float64
d_r_bal
float64
cond_r_bal
float64
pythia
0
0
4
0.177317
0.184186
0.974921
0.113482
1.803305
pythia
0
0
8
0.009734
0.010118
0.974921
0.113482
1.803305
pythia
0
1
4
0.163249
0.209871
0.956625
0.156941
2.184663
pythia
0
1
8
0.008972
0.011594
0.956625
0.156941
2.184663
pythia
0
2
4
0.173204
0.187216
0.948064
0.16201
2.159388
pythia
0
2
8
0.009493
0.010213
0.948064
0.16201
2.159388
pythia
0
3
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0.179083
0.220416
0.969205
0.117705
1.673374
pythia
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0.009824
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0.969205
0.117705
1.673374
pythia
0
4
4
0.175011
0.19017
0.968126
0.127677
2.112991
pythia
0
4
8
0.009609
0.010483
0.968126
0.127677
2.112991
pythia
0
5
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0.171291
0.184222
0.967863
0.126533
1.988278
pythia
0
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0.009439
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0.967863
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pythia
0
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0.179162
0.198511
0.96054
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1.9016
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0.009845
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pythia
0
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0.174558
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pythia
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pythia
0
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pythia
0
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4
0.177371
0.18232
0.986967
0.08126
1.544365
pythia
2
15
8
0.009753
0.009977
0.986967
0.08126
1.544365
pythia
3
0
4
0.175231
0.177551
0.988017
0.075111
1.406464
pythia
3
0
8
0.009648
0.009718
0.988017
0.075111
1.406464
pythia
3
1
4
0.169579
0.182028
0.974318
0.109948
1.714938
pythia
3
1
8
0.009315
0.009976
0.974318
0.109948
1.714938
End of preview.

Gauge equivalence does not survive quantisation — sweeps and results

Raw sweeps, per-image end-to-end vectors, reading tables and the two PDFs behind Gauge equivalence does not survive quantisation: value-output orbit, norm-product bound, and consequences for rotational methods (Manuel Muñoz Plá, 2026, v1.0).

The layout mirrors the code repository, so this dataset can be dropped over a clone of it and every reading script runs unchanged: https://github.com/mmunozpl/gauge-orbit-quantization (tag v1.0).

Path Rows What it backs
artifacts/logs/quant_orbita/quant_orbita.csv 170,016 regime sweep: identity, per-head and shared orthogonal, general GL
artifacts/logs/quant_kappa/quant_kappa.csv 642,048 controlled-conditioning sweep
artifacts/logs/quant_kappa/quant_familia.csv 102,432 re-sweep of the original family with norms
artifacts/logs/quant_kappa/punto_balanceado.csv 1,056 the balanced point, both models and bit widths
artifacts/logs/quant_orbita/aciertos_e2e.pt 7 × 5,000 per-image correctness of every end-to-end condition
artifacts/logs/quant_orbita/predicciones_e2e.pt 7 × 5,000 per-image predicted class (argmax) of every condition
artifacts/tables/*.csv — every reading table the paper cites
paper/*.pdf — the two PDFs frozen by tag v1.0, byte-identical to GitHub
sello.json — sha256 manifest of the sealed pieces

Every sampled gauge is reconstructed exactly by replaying the generator sequence the sweep consumed; the matrices are not stored. The ViT-B/16 checkpoint is the one published with the previous work (https://doi.org/10.57967/hf/9742) and is not duplicated here.

Citation

@unpublished{munozpla2026gaugeequivalence,
  author = {Muñoz Plá, Manuel},
  title  = {Gauge equivalence does not survive quantisation:
            value-output orbit, norm-product bound, and consequences
            for rotational methods},
  year   = {2026},
  note   = {Manuscript},
  url    = {https://github.com/mmunozpl/gauge-orbit-quantization}
}
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