The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
data_rows: int64
resolved_new_usage: int64
unresolved_new_usage: int64
cumulative_zeros: int64
early_zeros_retained: int64
other_columns_identical: bool
independent_weighted_checks: list<item: struct<panel: string, group: string, outcome: string, n: int64, value: double>>
child 0, item: struct<panel: string, group: string, outcome: string, n: int64, value: double>
child 0, panel: string
child 1, group: string
child 2, outcome: string
child 3, n: int64
child 4, value: double
reviewer_comments_identical: bool
new_figures_native_vector: list<item: string>
child 0, item: string
early_window: string
cumulative_usage_window: string
unchanged_historical_diagnostics: list<item: string>
child 0, item: string
local_only: bool
remote_pushed: bool
build_checks: struct<compiler: string, results: list<item: struct<document: string, command: list<item: string>, e (... 60 chars omitted)
child 0, compiler: string
child 1, results: list<item: struct<document: string, command: list<item: string>, exit_code: int64, warnings: list<it (... 25 chars omitted)
child 0, item: struct<document: string, command: list<item: string>, exit_code: int64, warnings: list<item: null>, (... 13 chars omitted)
child 0, document: string
child 1, command: list<item: string>
child 0, item: string
child 2, exit_code: int64
child 3, warnings: list<item: null>
child 0, item: null
child 4, passed: b
...
cy_timing_pdf: string
checks: list<item: struct<test: string, values: int64, passed: bool>>
child 0, item: struct<test: string, values: int64, passed: bool>
child 0, test: string
child 1, values: int64
child 2, passed: bool
caption_sample_sizes_and_cutoffs_retained: bool
sector_displayed_n: int64
sector_other_displayed: bool
displayed_numeric_values_changed: list<item: string>
child 0, item: string
installed_locally: bool
cd_y_scale: struct<type: string, base: int64, limits: list<item: int64>, bar_baseline: int64, bar_endpoints_matc (... 15 chars omitted)
child 0, type: string
child 1, base: int64
child 2, limits: list<item: int64>
child 0, item: int64
child 3, bar_baseline: int64
child 4, bar_endpoints_match_source: bool
paper_baseline_added: bool
e_legend: string
paper_baseline_policy: string
sector_weight_reference_n: int64
annotation_text_checks: string
status: string
bold_panel_titles: int64
f_style: string
f_y_limits: list<item: double>
child 0, item: double
shared_y_axis: struct<limits: list<item: double>, ticks: list<item: double>, linked: bool, visible_tick_panels: lis (... 55 chars omitted)
child 0, limits: list<item: double>
child 0, item: double
child 1, ticks: list<item: double>
child 0, item: double
child 2, linked: bool
child 3, visible_tick_panels: list<item: string>
child 0, item: string
child 4, axis_title_panels: list<item: string>
child 0, item: string
sector_weights_recomputed: bool
to
{'status': Value('string'), 'source_sha256': {'coefficients': Value('string'), 'collaboration': Value('string'), 'density': Value('string'), 'density_ci': Value('string'), 'legacy_timing_pdf': Value('string')}, 'source_paths': {'coefficients': Value('string'), 'collaboration': Value('string'), 'density': Value('string'), 'density_ci': Value('string'), 'legacy_timing_pdf': Value('string')}, 'checks': List({'test': Value('string'), 'values': Value('int64'), 'passed': Value('bool')}), 'bold_panel_titles': Value('int64'), 'annotation_text_checks': Value('string'), 'shared_y_axis': {'limits': List(Value('float64')), 'ticks': List(Value('float64')), 'linked': Value('bool'), 'visible_tick_panels': List(Value('string')), 'axis_title_panels': List(Value('string'))}, 'cd_y_scale': {'type': Value('string'), 'base': Value('int64'), 'limits': List(Value('int64')), 'bar_baseline': Value('int64'), 'bar_endpoints_match_source': Value('bool')}, 'paper_baseline_added': Value('bool'), 'e_legend': Value('string'), 'paper_baseline_policy': Value('string'), 'displayed_numeric_values_changed': List(Value('string')), 'sector_other_displayed': Value('bool'), 'sector_weight_reference_n': Value('int64'), 'sector_displayed_n': Value('int64'), 'sector_weights_recomputed': Value('bool'), 'f_style': Value('string'), 'f_y_limits': List(Value('float64')), 'caption_sample_sizes_and_cutoffs_retained': Value('bool'), 'installed_locally': Value('bool'), 'remote_pushed': Value('bool')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 544, 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 3052, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
data_rows: int64
resolved_new_usage: int64
unresolved_new_usage: int64
cumulative_zeros: int64
early_zeros_retained: int64
other_columns_identical: bool
independent_weighted_checks: list<item: struct<panel: string, group: string, outcome: string, n: int64, value: double>>
child 0, item: struct<panel: string, group: string, outcome: string, n: int64, value: double>
child 0, panel: string
child 1, group: string
child 2, outcome: string
child 3, n: int64
child 4, value: double
reviewer_comments_identical: bool
new_figures_native_vector: list<item: string>
child 0, item: string
early_window: string
cumulative_usage_window: string
unchanged_historical_diagnostics: list<item: string>
child 0, item: string
local_only: bool
remote_pushed: bool
build_checks: struct<compiler: string, results: list<item: struct<document: string, command: list<item: string>, e (... 60 chars omitted)
child 0, compiler: string
child 1, results: list<item: struct<document: string, command: list<item: string>, exit_code: int64, warnings: list<it (... 25 chars omitted)
child 0, item: struct<document: string, command: list<item: string>, exit_code: int64, warnings: list<item: null>, (... 13 chars omitted)
child 0, document: string
child 1, command: list<item: string>
child 0, item: string
child 2, exit_code: int64
child 3, warnings: list<item: null>
child 0, item: null
child 4, passed: b
...
cy_timing_pdf: string
checks: list<item: struct<test: string, values: int64, passed: bool>>
child 0, item: struct<test: string, values: int64, passed: bool>
child 0, test: string
child 1, values: int64
child 2, passed: bool
caption_sample_sizes_and_cutoffs_retained: bool
sector_displayed_n: int64
sector_other_displayed: bool
displayed_numeric_values_changed: list<item: string>
child 0, item: string
installed_locally: bool
cd_y_scale: struct<type: string, base: int64, limits: list<item: int64>, bar_baseline: int64, bar_endpoints_matc (... 15 chars omitted)
child 0, type: string
child 1, base: int64
child 2, limits: list<item: int64>
child 0, item: int64
child 3, bar_baseline: int64
child 4, bar_endpoints_match_source: bool
paper_baseline_added: bool
e_legend: string
paper_baseline_policy: string
sector_weight_reference_n: int64
annotation_text_checks: string
status: string
bold_panel_titles: int64
f_style: string
f_y_limits: list<item: double>
child 0, item: double
shared_y_axis: struct<limits: list<item: double>, ticks: list<item: double>, linked: bool, visible_tick_panels: lis (... 55 chars omitted)
child 0, limits: list<item: double>
child 0, item: double
child 1, ticks: list<item: double>
child 0, item: double
child 2, linked: bool
child 3, visible_tick_panels: list<item: string>
child 0, item: string
child 4, axis_title_panels: list<item: string>
child 0, item: string
sector_weights_recomputed: bool
to
{'status': Value('string'), 'source_sha256': {'coefficients': Value('string'), 'collaboration': Value('string'), 'density': Value('string'), 'density_ci': Value('string'), 'legacy_timing_pdf': Value('string')}, 'source_paths': {'coefficients': Value('string'), 'collaboration': Value('string'), 'density': Value('string'), 'density_ci': Value('string'), 'legacy_timing_pdf': Value('string')}, 'checks': List({'test': Value('string'), 'values': Value('int64'), 'passed': Value('bool')}), 'bold_panel_titles': Value('int64'), 'annotation_text_checks': Value('string'), 'shared_y_axis': {'limits': List(Value('float64')), 'ticks': List(Value('float64')), 'linked': Value('bool'), 'visible_tick_panels': List(Value('string')), 'axis_title_panels': List(Value('string'))}, 'cd_y_scale': {'type': Value('string'), 'base': Value('int64'), 'limits': List(Value('int64')), 'bar_baseline': Value('int64'), 'bar_endpoints_match_source': Value('bool')}, 'paper_baseline_added': Value('bool'), 'e_legend': Value('string'), 'paper_baseline_policy': Value('string'), 'displayed_numeric_values_changed': List(Value('string')), 'sector_other_displayed': Value('bool'), 'sector_weight_reference_n': Value('int64'), 'sector_displayed_n': Value('int64'), 'sector_weights_recomputed': Value('bool'), 'f_style': Value('string'), 'f_y_limits': List(Value('float64')), 'caption_sample_sizes_and_cutoffs_retained': Value('bool'), 'installed_locally': Value('bool'), 'remote_pushed': Value('bool')}
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.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
SoD data and reproduction archive
Updated manuscript figures: 27 October 2026
Open the current reproduction instructions
or browse the revision files.
This version matches Code Ocean capsule 5528453, commit
f1434f93c20c0fae5f36fec7b142396465a1d238, and manuscript commit
fdab4f2c9169ec29f02b210e1070a169618aa40e.
The revision includes the figure-generation code, fixed input tables and rosters, native environment definition, exact reference PDFs, and numerical validation records. All 29 manuscript figure assets are included. Twenty-two are recalculated or redrawn, with retained panels and frozen summaries identified separately; seven are retained original artifacts. A complete offline run in the native Code Ocean environment passed. That local validation does not imply execution on the Code Ocean cloud.
- Validated figure preview
- Per-figure reproduction coverage
- Numerical checks
- Validation record
- Source identities and hashes
Download only reproduction_20261027/** for this figure-reproduction package.
Its entrypoint is bash code/run from the downloaded revision directory, after
installing the pinned environment. The large historical checkpoints and split
archives at the dataset root are not needed for this run.
The delivered analysis retains archived usage through 2025. The fixed new-usage candidate, observed through April 2026, is supplied separately. Its unresolved entities remain missing, and early-window resolved zeros are retained. Citation snapshot retrieval on 17-18 October 2026 and citation-event windows remain distinct. Regressions, summary redraws, and retained artwork are not conflated.
Historical archive
The original dataset, split archives, checkpoints, and inference artifacts remain at the dataset root. They retain their original filenames and content hashes. The new version is an additional, bounded reproduction package; it does not replace the historical archive. Existing component license notices are included with the revision files.
- Downloads last month
- 244