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
description: string
scene_count: int64
panels: list<item: struct<scene: string, method: string, source_key: string, source_png_sha256: string, sele (... 41 chars omitted)
child 0, item: struct<scene: string, method: string, source_key: string, source_png_sha256: string, selected_report (... 29 chars omitted)
child 0, scene: string
child 1, method: string
child 2, source_key: string
child 3, source_png_sha256: string
child 4, selected_report_sha256: string
child 5, view: int64
figure_sha256: string
figure_bytes: int64
source_utc: string
study: string
aggregates: list<item: struct<method: string, scene_count: int64, mean_visual_score: double, selected_snapshot_k (... 99 chars omitted)
child 0, item: struct<method: string, scene_count: int64, mean_visual_score: double, selected_snapshot_known_cost: (... 87 chars omitted)
child 0, method: string
child 1, scene_count: int64
child 2, mean_visual_score: double
child 3, selected_snapshot_known_cost: double
child 4, selected_snapshot_calls: int64
child 5, selected_snapshot_unknown_cost_requests: int64
rows: list<item: struct<scene: string, method: string, visual_score: double, known_fee: double, calls: int (... 59 chars omitted)
child 0, item: struct<scene: string, method: string, visual_score: double, known_fee: double, calls: int64, unknown (... 47 chars omitted)
child 0, scene: string
child 1, method: string
child 2, visual_score: double
child 3, known_fee: double
child 4, calls: int64
child 5, unknown_fee_requests: int64
child 6, selected_version: string
source_sha256: string
fee_unit: string
scope: string
limits: list<item: string>
child 0, item: string
to
{'study': Value('string'), 'source_utc': Value('string'), 'source_sha256': Value('string'), 'scope': Value('string'), 'fee_unit': Value('string'), 'aggregates': List({'method': Value('string'), 'scene_count': Value('int64'), 'mean_visual_score': Value('float64'), 'selected_snapshot_known_cost': Value('float64'), 'selected_snapshot_calls': Value('int64'), 'selected_snapshot_unknown_cost_requests': Value('int64')}), 'rows': List({'scene': Value('string'), 'method': Value('string'), 'visual_score': Value('float64'), 'known_fee': Value('float64'), 'calls': Value('int64'), 'unknown_fee_requests': Value('int64'), 'selected_version': Value('string')}), 'limits': List(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 2951, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 547, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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
description: string
scene_count: int64
panels: list<item: struct<scene: string, method: string, source_key: string, source_png_sha256: string, sele (... 41 chars omitted)
child 0, item: struct<scene: string, method: string, source_key: string, source_png_sha256: string, selected_report (... 29 chars omitted)
child 0, scene: string
child 1, method: string
child 2, source_key: string
child 3, source_png_sha256: string
child 4, selected_report_sha256: string
child 5, view: int64
figure_sha256: string
figure_bytes: int64
source_utc: string
study: string
aggregates: list<item: struct<method: string, scene_count: int64, mean_visual_score: double, selected_snapshot_k (... 99 chars omitted)
child 0, item: struct<method: string, scene_count: int64, mean_visual_score: double, selected_snapshot_known_cost: (... 87 chars omitted)
child 0, method: string
child 1, scene_count: int64
child 2, mean_visual_score: double
child 3, selected_snapshot_known_cost: double
child 4, selected_snapshot_calls: int64
child 5, selected_snapshot_unknown_cost_requests: int64
rows: list<item: struct<scene: string, method: string, visual_score: double, known_fee: double, calls: int (... 59 chars omitted)
child 0, item: struct<scene: string, method: string, visual_score: double, known_fee: double, calls: int64, unknown (... 47 chars omitted)
child 0, scene: string
child 1, method: string
child 2, visual_score: double
child 3, known_fee: double
child 4, calls: int64
child 5, unknown_fee_requests: int64
child 6, selected_version: string
source_sha256: string
fee_unit: string
scope: string
limits: list<item: string>
child 0, item: string
to
{'study': Value('string'), 'source_utc': Value('string'), 'source_sha256': Value('string'), 'scope': Value('string'), 'fee_unit': Value('string'), 'aggregates': List({'method': Value('string'), 'scene_count': Value('int64'), 'mean_visual_score': Value('float64'), 'selected_snapshot_known_cost': Value('float64'), 'selected_snapshot_calls': Value('int64'), 'selected_snapshot_unknown_cost_requests': Value('int64')}), 'rows': List({'scene': Value('string'), 'method': Value('string'), 'visual_score': Value('float64'), 'known_fee': Value('float64'), 'calls': Value('int64'), 'unknown_fee_requests': Value('int64'), 'selected_version': Value('string')}), 'limits': List(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.
SoL-Pi Visual: 15-scene results
Results for SoL-Pi Visual. Model: GPT-6 Astra, high reasoning effort.
Example reconstructions
Scene 2 and Scene 3: Codex, SoL-Pi and SoL-Pi Visual.
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