The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 | 4 | 0.179083 | 0.220416 | 0.969205 | 0.117705 | 1.673374 |
pythia | 0 | 3 | 8 | 0.009824 | 0.012296 | 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 | 4 | 0.171291 | 0.184222 | 0.967863 | 0.126533 | 1.988278 |
pythia | 0 | 5 | 8 | 0.009439 | 0.010206 | 0.967863 | 0.126533 | 1.988278 |
pythia | 0 | 6 | 4 | 0.179162 | 0.198511 | 0.96054 | 0.135932 | 1.9016 |
pythia | 0 | 6 | 8 | 0.009845 | 0.010922 | 0.96054 | 0.135932 | 1.9016 |
pythia | 0 | 7 | 4 | 0.174558 | 0.190293 | 0.98662 | 0.0839 | 1.525034 |
pythia | 0 | 7 | 8 | 0.009608 | 0.0105 | 0.98662 | 0.0839 | 1.525034 |
pythia | 0 | 8 | 4 | 0.172338 | 0.184767 | 0.953449 | 0.165125 | 2.291732 |
pythia | 0 | 8 | 8 | 0.009447 | 0.010221 | 0.953449 | 0.165125 | 2.291732 |
pythia | 0 | 9 | 4 | 0.175676 | 0.213063 | 0.96983 | 0.127184 | 1.978907 |
pythia | 0 | 9 | 8 | 0.009614 | 0.011835 | 0.96983 | 0.127184 | 1.978907 |
pythia | 0 | 10 | 4 | 0.183653 | 0.188686 | 0.963918 | 0.137057 | 1.914605 |
pythia | 0 | 10 | 8 | 0.010055 | 0.010356 | 0.963918 | 0.137057 | 1.914605 |
pythia | 0 | 11 | 4 | 0.180731 | 0.188748 | 0.962105 | 0.144283 | 2.162172 |
pythia | 0 | 11 | 8 | 0.009892 | 0.010367 | 0.962105 | 0.144283 | 2.162172 |
pythia | 0 | 12 | 4 | 0.174342 | 0.186093 | 0.961669 | 0.137791 | 1.882433 |
pythia | 0 | 12 | 8 | 0.009554 | 0.010246 | 0.961669 | 0.137791 | 1.882433 |
pythia | 0 | 13 | 4 | 0.17784 | 0.201219 | 0.967276 | 0.134259 | 1.882173 |
pythia | 0 | 13 | 8 | 0.009809 | 0.011027 | 0.967276 | 0.134259 | 1.882173 |
pythia | 0 | 14 | 4 | 0.176748 | 0.185886 | 0.992974 | 0.058364 | 1.36862 |
pythia | 0 | 14 | 8 | 0.009691 | 0.010207 | 0.992974 | 0.058364 | 1.36862 |
pythia | 0 | 15 | 4 | 0.176957 | 0.18894 | 0.981706 | 0.090494 | 1.642291 |
pythia | 0 | 15 | 8 | 0.009688 | 0.0104 | 0.981706 | 0.090494 | 1.642291 |
pythia | 1 | 0 | 4 | 0.173563 | 0.183723 | 0.975067 | 0.10359 | 1.708319 |
pythia | 1 | 0 | 8 | 0.009568 | 0.010133 | 0.975067 | 0.10359 | 1.708319 |
pythia | 1 | 1 | 4 | 0.180115 | 0.18385 | 0.988267 | 0.076902 | 1.4313 |
pythia | 1 | 1 | 8 | 0.009898 | 0.010093 | 0.988267 | 0.076902 | 1.4313 |
pythia | 1 | 2 | 4 | 0.174897 | 0.18598 | 0.978276 | 0.100611 | 1.749766 |
pythia | 1 | 2 | 8 | 0.009635 | 0.010235 | 0.978276 | 0.100611 | 1.749766 |
pythia | 1 | 3 | 4 | 0.178303 | 0.180546 | 0.992633 | 0.060492 | 1.315393 |
pythia | 1 | 3 | 8 | 0.009779 | 0.009911 | 0.992633 | 0.060492 | 1.315393 |
pythia | 1 | 4 | 4 | 0.172933 | 0.181783 | 0.977701 | 0.10327 | 1.589992 |
pythia | 1 | 4 | 8 | 0.009473 | 0.009996 | 0.977701 | 0.10327 | 1.589992 |
pythia | 1 | 5 | 4 | 0.175729 | 0.182351 | 0.97394 | 0.11295 | 1.834735 |
pythia | 1 | 5 | 8 | 0.009626 | 0.010001 | 0.97394 | 0.11295 | 1.834735 |
pythia | 1 | 6 | 4 | 0.176175 | 0.181323 | 0.989544 | 0.071903 | 1.410337 |
pythia | 1 | 6 | 8 | 0.009646 | 0.00992 | 0.989544 | 0.071903 | 1.410337 |
pythia | 1 | 7 | 4 | 0.178821 | 0.182888 | 0.988767 | 0.07438 | 1.447777 |
pythia | 1 | 7 | 8 | 0.009812 | 0.010063 | 0.988767 | 0.07438 | 1.447777 |
pythia | 1 | 8 | 4 | 0.162679 | 0.180402 | 0.981463 | 0.099119 | 1.563661 |
pythia | 1 | 8 | 8 | 0.008973 | 0.009877 | 0.981463 | 0.099119 | 1.563661 |
pythia | 1 | 9 | 4 | 0.178718 | 0.186426 | 0.989737 | 0.068292 | 1.514442 |
pythia | 1 | 9 | 8 | 0.009828 | 0.010324 | 0.989737 | 0.068292 | 1.514442 |
pythia | 1 | 10 | 4 | 0.178252 | 0.183601 | 0.989147 | 0.073511 | 1.477019 |
pythia | 1 | 10 | 8 | 0.009792 | 0.010053 | 0.989147 | 0.073511 | 1.477019 |
pythia | 1 | 11 | 4 | 0.181917 | 0.184488 | 0.993542 | 0.056282 | 1.379031 |
pythia | 1 | 11 | 8 | 0.009993 | 0.010128 | 0.993542 | 0.056282 | 1.379031 |
pythia | 1 | 12 | 4 | 0.179742 | 0.184775 | 0.977516 | 0.105653 | 1.724286 |
pythia | 1 | 12 | 8 | 0.009904 | 0.010101 | 0.977516 | 0.105653 | 1.724286 |
pythia | 1 | 13 | 4 | 0.177659 | 0.179559 | 0.985353 | 0.08507 | 1.655518 |
pythia | 1 | 13 | 8 | 0.009703 | 0.009891 | 0.985353 | 0.08507 | 1.655518 |
pythia | 1 | 14 | 4 | 0.174521 | 0.182957 | 0.981372 | 0.093804 | 1.536318 |
pythia | 1 | 14 | 8 | 0.009558 | 0.010082 | 0.981372 | 0.093804 | 1.536318 |
pythia | 1 | 15 | 4 | 0.157255 | 0.176454 | 0.974457 | 0.104514 | 1.572142 |
pythia | 1 | 15 | 8 | 0.008599 | 0.009654 | 0.974457 | 0.104514 | 1.572142 |
pythia | 2 | 0 | 4 | 0.173231 | 0.180847 | 0.984867 | 0.08423 | 1.505545 |
pythia | 2 | 0 | 8 | 0.009498 | 0.009935 | 0.984867 | 0.08423 | 1.505545 |
pythia | 2 | 1 | 4 | 0.176186 | 0.182396 | 0.981533 | 0.090834 | 1.673665 |
pythia | 2 | 1 | 8 | 0.009693 | 0.009986 | 0.981533 | 0.090834 | 1.673665 |
pythia | 2 | 2 | 4 | 0.174593 | 0.181491 | 0.979055 | 0.096123 | 1.600023 |
pythia | 2 | 2 | 8 | 0.009539 | 0.009982 | 0.979055 | 0.096123 | 1.600023 |
pythia | 2 | 3 | 4 | 0.177179 | 0.185576 | 0.981166 | 0.090388 | 1.585169 |
pythia | 2 | 3 | 8 | 0.009713 | 0.010204 | 0.981166 | 0.090388 | 1.585169 |
pythia | 2 | 4 | 4 | 0.175501 | 0.181261 | 0.984323 | 0.085724 | 1.493635 |
pythia | 2 | 4 | 8 | 0.009615 | 0.009918 | 0.984323 | 0.085724 | 1.493635 |
pythia | 2 | 5 | 4 | 0.179808 | 0.18724 | 0.984541 | 0.086079 | 1.467252 |
pythia | 2 | 5 | 8 | 0.009928 | 0.010251 | 0.984541 | 0.086079 | 1.467252 |
pythia | 2 | 6 | 4 | 0.167658 | 0.177958 | 0.982419 | 0.089936 | 1.482632 |
pythia | 2 | 6 | 8 | 0.009256 | 0.009801 | 0.982419 | 0.089936 | 1.482632 |
pythia | 2 | 7 | 4 | 0.168253 | 0.181153 | 0.975336 | 0.107489 | 1.576578 |
pythia | 2 | 7 | 8 | 0.009188 | 0.009955 | 0.975336 | 0.107489 | 1.576578 |
pythia | 2 | 8 | 4 | 0.179398 | 0.18183 | 0.973996 | 0.106606 | 1.660503 |
pythia | 2 | 8 | 8 | 0.009889 | 0.010021 | 0.973996 | 0.106606 | 1.660503 |
pythia | 2 | 9 | 4 | 0.174858 | 0.179458 | 0.981412 | 0.08703 | 1.524891 |
pythia | 2 | 9 | 8 | 0.00957 | 0.009986 | 0.981412 | 0.08703 | 1.524891 |
pythia | 2 | 10 | 4 | 0.162099 | 0.181246 | 0.980417 | 0.09389 | 1.564237 |
pythia | 2 | 10 | 8 | 0.008883 | 0.00995 | 0.980417 | 0.09389 | 1.564237 |
pythia | 2 | 11 | 4 | 0.17602 | 0.181859 | 0.973745 | 0.113707 | 1.682672 |
pythia | 2 | 11 | 8 | 0.009621 | 0.00994 | 0.973745 | 0.113707 | 1.682672 |
pythia | 2 | 12 | 4 | 0.179716 | 0.181344 | 0.980989 | 0.094125 | 1.632335 |
pythia | 2 | 12 | 8 | 0.009807 | 0.009962 | 0.980989 | 0.094125 | 1.632335 |
pythia | 2 | 13 | 4 | 0.178646 | 0.182481 | 0.981252 | 0.093003 | 1.642163 |
pythia | 2 | 13 | 8 | 0.009818 | 0.010033 | 0.981252 | 0.093003 | 1.642163 |
pythia | 2 | 14 | 4 | 0.181311 | 0.184203 | 0.981763 | 0.092833 | 1.530662 |
pythia | 2 | 14 | 8 | 0.009972 | 0.010067 | 0.981763 | 0.092833 | 1.530662 |
pythia | 2 | 15 | 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 |
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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