Dataset Viewer
The dataset viewer is not available for this split.
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 matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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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