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
receipt_type: string
schema_version: string
recorded_utc: timestamp[s]
repo_id: string
main_revision_observed: string
all_existing_candidate_aggregates_fixed_readback: bool
uploadable_new_scientific_aggregate_count: int64
diagnostic_archive: struct<prefix: string, content_commit: string, receipt_commit: string, fixed_revision_readback_recei (... 215 chars omitted)
child 0, prefix: string
child 1, content_commit: string
child 2, receipt_commit: string
child 3, fixed_revision_readback_receipt: string
child 4, fixed_revision_readback_receipt_sha256: string
child 5, self_readback_receipt: string
child 6, self_readback_receipt_sha256: string
child 7, all_diagnostic_files_readback: bool
child 8, scientific_admission: bool
child 9, table1_changed: bool
source_audit: string
source_audit_sha256: string
decision: string
scope: string
rows: list<item: struct<file: string, sha256: string, method: string, scientific_admission: bool, expected (... 51 chars omitted)
child 0, item: struct<file: string, sha256: string, method: string, scientific_admission: bool, expected_scene_coun (... 39 chars omitted)
child 0, file: string
child 1, sha256: string
child 2, method: string
child 3, scientific_admission: bool
child 4, expected_scene_count: int64
child 5, completed_scene_count: int64
new_table1_mutation: bool
to
{'receipt_type': Value('string'), 'recorded_utc': Value('string'), 'scope': Value('string'), 'rows': List({'file': Value('string'), 'sha256': Value('string'), 'method': Value('string'), 'scientific_admission': Value('bool'), 'expected_scene_count': Value('int64'), 'completed_scene_count': Value('int64')}), 'new_table1_mutation': Value('bool'), 'decision': Value('string')}
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 483, 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 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 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
receipt_type: string
schema_version: string
recorded_utc: timestamp[s]
repo_id: string
main_revision_observed: string
all_existing_candidate_aggregates_fixed_readback: bool
uploadable_new_scientific_aggregate_count: int64
diagnostic_archive: struct<prefix: string, content_commit: string, receipt_commit: string, fixed_revision_readback_recei (... 215 chars omitted)
child 0, prefix: string
child 1, content_commit: string
child 2, receipt_commit: string
child 3, fixed_revision_readback_receipt: string
child 4, fixed_revision_readback_receipt_sha256: string
child 5, self_readback_receipt: string
child 6, self_readback_receipt_sha256: string
child 7, all_diagnostic_files_readback: bool
child 8, scientific_admission: bool
child 9, table1_changed: bool
source_audit: string
source_audit_sha256: string
decision: string
scope: string
rows: list<item: struct<file: string, sha256: string, method: string, scientific_admission: bool, expected (... 51 chars omitted)
child 0, item: struct<file: string, sha256: string, method: string, scientific_admission: bool, expected_scene_coun (... 39 chars omitted)
child 0, file: string
child 1, sha256: string
child 2, method: string
child 3, scientific_admission: bool
child 4, expected_scene_count: int64
child 5, completed_scene_count: int64
new_table1_mutation: bool
to
{'receipt_type': Value('string'), 'recorded_utc': Value('string'), 'scope': Value('string'), 'rows': List({'file': Value('string'), 'sha256': Value('string'), 'method': Value('string'), 'scientific_admission': Value('bool'), 'expected_scene_count': Value('int64'), 'completed_scene_count': Value('int64')}), 'new_table1_mutation': Value('bool'), 'decision': Value('string')}
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.
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Check out the documentation for more information.
Table 1 readiness and public provenance snapshot
This public dataset contains the evidence snapshot used for the Table 1 and directly related analysis on 2026-09-24. It preserves the original and aligned comparison rows and the retained Ours row while recording which new aggregates are scientifically admissible.
The receipts are provenance records, not a claim that unfinished experiments passed. A queued or running job, a partial metric, or an upload alone is not a scientific result. New Table 1 cells require complete Original/Star coverage, terminal evidence, render and metric receipts, and fixed-revision readback.
The included TeX source is the restored tables/main_results.tex variant. The retained Ours values are:
- 37.2540 / 0.9792 / 0.0255
- 33.7744 / 0.9669 / 0.0403
- 57.0919 / 0.998658 / 0.000614
- 35.81 / 0.94139 / 0.04551
- 32.124 / 0.92282 / 0.07675
At this snapshot, no additional comparator aggregate is admitted to Table 1; three Unblur jobs remain under monitored execution. The pasted instruction file is represented by its SHA-256 in the receipts and is not redistributed here.
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