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
validation: string
candidate_source: string
candidate_rows: int64
raw_baseline: int64
excluded: list<item: null>
child 0, item: null
exclusions_applied: int64
clean_baseline_before_content_dedup: int64
original_data1_empty_checklists: int64
repairs: list<item: struct<stage: string, row_index: int64, reason: string, record_id: string>>
child 0, item: struct<stage: string, row_index: int64, reason: string, record_id: string>
child 0, stage: string
child 1, row_index: int64
child 2, reason: string
child 3, record_id: string
invalid_baseline: list<item: null>
child 0, item: null
invalid_candidates: list<item: null>
child 0, item: null
targets: struct<Complex_Instruction: struct<planned: int64, metadata_unique_unseen: int64, metadata_max_addit (... 1648 chars omitted)
child 0, Complex_Instruction: struct<planned: int64, metadata_unique_unseen: int64, metadata_max_additions: int64, metadata_min_sh (... 15 chars omitted)
child 0, planned: int64
child 1, metadata_unique_unseen: int64
child 2, metadata_max_additions: int64
child 3, metadata_min_shortfall: int64
child 1, Portrait_Editing: struct<planned: int64, metadata_unique_unseen: int64, metadata_max_additions: int64, metadata_min_sh (... 15 chars omitted)
child 0, planned: int64
child 1, metadata_unique_unseen: int64
child 2, metadata_max_additions: int64
child 3, metadata_min_shortfall: int64
child 2, Material_Change: struct<planned: int64, meta
...
metadata_max_additions: int64
child 3, metadata_min_shortfall: int64
child 11, Size_Adjust: struct<planned: int64, metadata_unique_unseen: int64, metadata_max_additions: int64, metadata_min_sh (... 15 chars omitted)
child 0, planned: int64
child 1, metadata_unique_unseen: int64
child 2, metadata_max_additions: int64
child 3, metadata_min_shortfall: int64
child 12, Emotion_Change: struct<planned: int64, metadata_unique_unseen: int64, metadata_max_additions: int64, metadata_min_sh (... 15 chars omitted)
child 0, planned: int64
child 1, metadata_unique_unseen: int64
child 2, metadata_max_additions: int64
child 3, metadata_min_shortfall: int64
planned_additions: int64
metadata_max_additions: int64
sample_checks: list<item: struct<image: string, ok: bool>>
child 0, item: struct<image: string, ok: bool>
child 0, image: string
child 1, ok: bool
blockers: list<item: string>
child 0, item: string
requested_models: struct<gemini: string, gpt: string>
child 0, gemini: string
child 1, gpt: string
checked_at: string
script_sha256: struct<run.sh: string, pipeline.py: string, api_clients.py: string, test_pipeline.py: string>
child 0, run.sh: string
child 1, pipeline.py: string
child 2, api_clients.py: string
child 3, test_pipeline.py: string
real_data_preflight: string
python: string
tests_passed: int64
test_runtime_seconds: double
coverage: list<item: string>
child 0, item: string
live_api_calls: int64
to
{'checked_at': Value('string'), 'validation': Value('string'), 'live_api_calls': Value('int64'), 'tests_passed': Value('int64'), 'test_runtime_seconds': Value('float64'), 'python': Value('string'), 'coverage': List(Value('string')), 'script_sha256': {'run.sh': Value('string'), 'pipeline.py': Value('string'), 'api_clients.py': Value('string'), 'test_pipeline.py': Value('string')}, 'real_data_preflight': 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
validation: string
candidate_source: string
candidate_rows: int64
raw_baseline: int64
excluded: list<item: null>
child 0, item: null
exclusions_applied: int64
clean_baseline_before_content_dedup: int64
original_data1_empty_checklists: int64
repairs: list<item: struct<stage: string, row_index: int64, reason: string, record_id: string>>
child 0, item: struct<stage: string, row_index: int64, reason: string, record_id: string>
child 0, stage: string
child 1, row_index: int64
child 2, reason: string
child 3, record_id: string
invalid_baseline: list<item: null>
child 0, item: null
invalid_candidates: list<item: null>
child 0, item: null
targets: struct<Complex_Instruction: struct<planned: int64, metadata_unique_unseen: int64, metadata_max_addit (... 1648 chars omitted)
child 0, Complex_Instruction: struct<planned: int64, metadata_unique_unseen: int64, metadata_max_additions: int64, metadata_min_sh (... 15 chars omitted)
child 0, planned: int64
child 1, metadata_unique_unseen: int64
child 2, metadata_max_additions: int64
child 3, metadata_min_shortfall: int64
child 1, Portrait_Editing: struct<planned: int64, metadata_unique_unseen: int64, metadata_max_additions: int64, metadata_min_sh (... 15 chars omitted)
child 0, planned: int64
child 1, metadata_unique_unseen: int64
child 2, metadata_max_additions: int64
child 3, metadata_min_shortfall: int64
child 2, Material_Change: struct<planned: int64, meta
...
metadata_max_additions: int64
child 3, metadata_min_shortfall: int64
child 11, Size_Adjust: struct<planned: int64, metadata_unique_unseen: int64, metadata_max_additions: int64, metadata_min_sh (... 15 chars omitted)
child 0, planned: int64
child 1, metadata_unique_unseen: int64
child 2, metadata_max_additions: int64
child 3, metadata_min_shortfall: int64
child 12, Emotion_Change: struct<planned: int64, metadata_unique_unseen: int64, metadata_max_additions: int64, metadata_min_sh (... 15 chars omitted)
child 0, planned: int64
child 1, metadata_unique_unseen: int64
child 2, metadata_max_additions: int64
child 3, metadata_min_shortfall: int64
planned_additions: int64
metadata_max_additions: int64
sample_checks: list<item: struct<image: string, ok: bool>>
child 0, item: struct<image: string, ok: bool>
child 0, image: string
child 1, ok: bool
blockers: list<item: string>
child 0, item: string
requested_models: struct<gemini: string, gpt: string>
child 0, gemini: string
child 1, gpt: string
checked_at: string
script_sha256: struct<run.sh: string, pipeline.py: string, api_clients.py: string, test_pipeline.py: string>
child 0, run.sh: string
child 1, pipeline.py: string
child 2, api_clients.py: string
child 3, test_pipeline.py: string
real_data_preflight: string
python: string
tests_passed: int64
test_runtime_seconds: double
coverage: list<item: string>
child 0, item: string
live_api_calls: int64
to
{'checked_at': Value('string'), 'validation': Value('string'), 'live_api_calls': Value('int64'), 'tests_passed': Value('int64'), 'test_runtime_seconds': Value('float64'), 'python': Value('string'), 'coverage': List(Value('string')), 'script_sha256': {'run.sh': Value('string'), 'pipeline.py': Value('string'), 'api_clients.py': Value('string'), 'test_pipeline.py': Value('string')}, 'real_data_preflight': 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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