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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
job: string
date_utc: timestamp[s]
purpose: string
scope_note: string
config: struct<nside: int64, n_real: int64, seed_base: int64, beta_injected_deg: double, noise_ukarcmin: dou (... 65 chars omitted)
  child 0, nside: int64
  child 1, n_real: int64
  child 2, seed_base: int64
  child 3, beta_injected_deg: double
  child 4, noise_ukarcmin: double
  child 5, fsky_targets: list<item: double>
      child 0, item: double
  child 6, nside_fallback_note: null
canonical_reference_fsky032: struct<fsky: double, recovered_beta_deg: double, bias_deg: double, snr_se: double>
  child 0, fsky: double
  child 1, recovered_beta_deg: double
  child 2, bias_deg: double
  child 3, snr_se: double
results: list<item: struct<fsky_target: double, fsky_actual_apodized: double, galactic_cut_deg: double, nside (... 252 chars omitted)
  child 0, item: struct<fsky_target: double, fsky_actual_apodized: double, galactic_cut_deg: double, nside: int64, lm (... 240 chars omitted)
      child 0, fsky_target: double
      child 1, fsky_actual_apodized: double
      child 2, galactic_cut_deg: double
      child 3, nside: int64
      child 4, lmax: int64
      child 5, n_real: int64
      child 6, beta_injected_deg: double
      child 7, beta_recovered_deg: double
      child 8, bias_deg: double
      child 9, sigma_beta_per_realization_deg: double
      child 10, snr_se: double
      child 11, snr_per_realization: double
      child 12, snr_template_canonical_def: double
      child 13, wallclock_s: double
wallclock_s: double
canonical_anchor: struct<recovered_beta_deg: double, bias_deg: double>
  child 0, recovered_beta_deg: double
  child 1, bias_deg: double
seed_base: int64
configs: list<item: struct<name: string, fsky: double, n_real: int64, purify_b: bool, apod_fwhm_deg: double,  (... 300 chars omitted)
  child 0, item: struct<name: string, fsky: double, n_real: int64, purify_b: bool, apod_fwhm_deg: double, gal_cut_deg (... 288 chars omitted)
      child 0, name: string
      child 1, fsky: double
      child 2, n_real: int64
      child 3, purify_b: bool
      child 4, apod_fwhm_deg: double
      child 5, gal_cut_deg: double
      child 6, bb_model: string
      child 7, noise_sigma_pix_uK: double
      child 8, recovered_beta_deg: struct<unweighted: double, invvar_weighted: double, lmax1024_only: double>
          child 0, unweighted: double
          child 1, invvar_weighted: double
          child 2, lmax1024_only: double
      child 9, bias_deg: struct<unweighted: double, invvar_weighted: double, lmax1024_only: double>
          child 0, unweighted: double
          child 1, invvar_weighted: double
          child 2, lmax1024_only: double
      child 10, runtime_s: double
      child 11, template: string
      child 12, note: string
beta_injected_deg: double
n_real: int64
total_runtime_s: double
experiment: string
to
{'experiment': Value('string'), 'beta_injected_deg': Value('float64'), 'n_real': Value('int64'), 'seed_base': Value('int64'), 'canonical_anchor': {'recovered_beta_deg': Value('float64'), 'bias_deg': Value('float64')}, 'configs': List({'name': Value('string'), 'fsky': Value('float64'), 'n_real': Value('int64'), 'purify_b': Value('bool'), 'apod_fwhm_deg': Value('float64'), 'gal_cut_deg': Value('float64'), 'bb_model': Value('string'), 'noise_sigma_pix_uK': Value('float64'), 'recovered_beta_deg': {'unweighted': Value('float64'), 'invvar_weighted': Value('float64'), 'lmax1024_only': Value('float64')}, 'bias_deg': {'unweighted': Value('float64'), 'invvar_weighted': Value('float64'), 'lmax1024_only': Value('float64')}, 'runtime_s': Value('float64'), 'template': Value('string'), 'note': Value('string')}), 'total_runtime_s': Value('float64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 478, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              job: string
              date_utc: timestamp[s]
              purpose: string
              scope_note: string
              config: struct<nside: int64, n_real: int64, seed_base: int64, beta_injected_deg: double, noise_ukarcmin: dou (... 65 chars omitted)
                child 0, nside: int64
                child 1, n_real: int64
                child 2, seed_base: int64
                child 3, beta_injected_deg: double
                child 4, noise_ukarcmin: double
                child 5, fsky_targets: list<item: double>
                    child 0, item: double
                child 6, nside_fallback_note: null
              canonical_reference_fsky032: struct<fsky: double, recovered_beta_deg: double, bias_deg: double, snr_se: double>
                child 0, fsky: double
                child 1, recovered_beta_deg: double
                child 2, bias_deg: double
                child 3, snr_se: double
              results: list<item: struct<fsky_target: double, fsky_actual_apodized: double, galactic_cut_deg: double, nside (... 252 chars omitted)
                child 0, item: struct<fsky_target: double, fsky_actual_apodized: double, galactic_cut_deg: double, nside: int64, lm (... 240 chars omitted)
                    child 0, fsky_target: double
                    child 1, fsky_actual_apodized: double
                    child 2, galactic_cut_deg: double
                    child 3, nside: int64
                    child 4, lmax: int64
                    child 5, n_real: int64
                    child 6, beta_injected_deg: double
                    child 7, beta_recovered_deg: double
                    child 8, bias_deg: double
                    child 9, sigma_beta_per_realization_deg: double
                    child 10, snr_se: double
                    child 11, snr_per_realization: double
                    child 12, snr_template_canonical_def: double
                    child 13, wallclock_s: double
              wallclock_s: double
              canonical_anchor: struct<recovered_beta_deg: double, bias_deg: double>
                child 0, recovered_beta_deg: double
                child 1, bias_deg: double
              seed_base: int64
              configs: list<item: struct<name: string, fsky: double, n_real: int64, purify_b: bool, apod_fwhm_deg: double,  (... 300 chars omitted)
                child 0, item: struct<name: string, fsky: double, n_real: int64, purify_b: bool, apod_fwhm_deg: double, gal_cut_deg (... 288 chars omitted)
                    child 0, name: string
                    child 1, fsky: double
                    child 2, n_real: int64
                    child 3, purify_b: bool
                    child 4, apod_fwhm_deg: double
                    child 5, gal_cut_deg: double
                    child 6, bb_model: string
                    child 7, noise_sigma_pix_uK: double
                    child 8, recovered_beta_deg: struct<unweighted: double, invvar_weighted: double, lmax1024_only: double>
                        child 0, unweighted: double
                        child 1, invvar_weighted: double
                        child 2, lmax1024_only: double
                    child 9, bias_deg: struct<unweighted: double, invvar_weighted: double, lmax1024_only: double>
                        child 0, unweighted: double
                        child 1, invvar_weighted: double
                        child 2, lmax1024_only: double
                    child 10, runtime_s: double
                    child 11, template: string
                    child 12, note: string
              beta_injected_deg: double
              n_real: int64
              total_runtime_s: double
              experiment: string
              to
              {'experiment': Value('string'), 'beta_injected_deg': Value('float64'), 'n_real': Value('int64'), 'seed_base': Value('int64'), 'canonical_anchor': {'recovered_beta_deg': Value('float64'), 'bias_deg': Value('float64')}, 'configs': List({'name': Value('string'), 'fsky': Value('float64'), 'n_real': Value('int64'), 'purify_b': Value('bool'), 'apod_fwhm_deg': Value('float64'), 'gal_cut_deg': Value('float64'), 'bb_model': Value('string'), 'noise_sigma_pix_uK': Value('float64'), 'recovered_beta_deg': {'unweighted': Value('float64'), 'invvar_weighted': Value('float64'), 'lmax1024_only': Value('float64')}, 'bias_deg': {'unweighted': Value('float64'), 'invvar_weighted': Value('float64'), 'lmax1024_only': Value('float64')}, 'runtime_s': Value('float64'), 'template': Value('string'), 'note': Value('string')}), 'total_runtime_s': Value('float64')}
              because column names don't match

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P1B NaMaster Pipeline Artifacts

Title: NaMaster pipeline artifacts (mask, MC seeds, output spectra)

Description

This dataset contains the complete NaMaster pipeline reproducibility artifacts for the 500 Monte Carlo realizations used in P1B's power-spectrum null tests. It corresponds to Appendix A, item 2 of the paper "P1B — Technical Verification Companion to the ECH Spin-Torsion Program" (v1B.0.75).

Files include output spectra in JSON format, analysis and plotting scripts (Python), and a requirements.txt pinning the exact software environment. The 500-MC results fully document the null test methodology described in Appendix A.

Provenance

  • Paper: P1B — Technical Verification Companion to the ECH Spin-Torsion Program (v1B.0.75)
  • GitHub: github.com/Hubify-Projects/bigbounce
  • Reproducibility directory: reproducibility/p1_namaster_500mc/
  • Appendix A item: 2 — NaMaster pipeline artifacts (mask, MC seeds, output spectra)
  • Paper PDF: bigbounce.hubify.app
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