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
categories: struct<Perception/Attributes: struct<gold: struct<A: int64, B: int64>, n: int64, readout_ok: int64, (... 1211 chars omitted)
child 0, Perception/Attributes: struct<gold: struct<A: int64, B: int64>, n: int64, readout_ok: int64, readout_skipped_no_options: in (... 4 chars omitted)
child 0, gold: struct<A: int64, B: int64>
child 0, A: int64
child 1, B: int64
child 1, n: int64
child 2, readout_ok: int64
child 3, readout_skipped_no_options: int64
child 1, Perception/Material: struct<gold: struct<B: int64, C: int64>, n: int64, readout_ok: int64, readout_skipped_no_options: in (... 4 chars omitted)
child 0, gold: struct<B: int64, C: int64>
child 0, B: int64
child 1, C: int64
child 1, n: int64
child 2, readout_ok: int64
child 3, readout_skipped_no_options: int64
child 2, Perception/OCR: struct<gold: struct<C: int64, D: int64>, n: int64, readout_ok: int64, readout_skipped_no_options: in (... 4 chars omitted)
child 0, gold: struct<C: int64, D: int64>
child 0, C: int64
child 1, D: int64
child 1, n: int64
child 2, readout_ok: int64
child 3, readout_skipped_no_options: int64
child 3, Perception/Object Retrieval: struct<gold: struct<B: int64, C: int64>, n: int64, readout_ok: int64, readout_skipped_no_options: in (... 4 chars omitted)
child 0, gold: struct<B: int64, C: int64>
child 0, B: int64
child 1, C: int64
...
t<A: int64>
child 0, A: int64
child 1, n: int64
child 2, readout_ok: int64
child 3, readout_skipped_no_options: int64
child 8, Reasoning/Perspective Transform: struct<gold: struct<C: int64, D: int64>, n: int64, readout_ok: int64, readout_skipped_no_options: in (... 4 chars omitted)
child 0, gold: struct<C: int64, D: int64>
child 0, C: int64
child 1, D: int64
child 1, n: int64
child 2, readout_ok: int64
child 3, readout_skipped_no_options: int64
child 9, Reasoning/Spatial Containment: struct<gold: struct<A: int64, C: int64>, n: int64, readout_ok: int64, readout_skipped_no_options: in (... 4 chars omitted)
child 0, gold: struct<A: int64, C: int64>
child 0, A: int64
child 1, C: int64
child 1, n: int64
child 2, readout_ok: int64
child 3, readout_skipped_no_options: int64
n_items: int64
ocr_category: string
option_anomalies: list<item: null>
child 0, item: null
option_anomaly_counts: struct<duplicate_letters: int64, inline_markers: int64>
child 0, duplicate_letters: int64
child 1, inline_markers: int64
patch_size: int64
max_new_tokens: int64
max_pixels: int64
prompt_hash: string
torch_version: string
model_id: string
merge_size: int64
is_fast_path_available: bool
chat_template_hash: string
model_revision: string
script_sha256: string
min_pixels: int64
dataset_sha256: string
option_rule_hash: string
no_think_max_new_tokens: int64
transformers_version: string
to
{'chat_template_hash': Value('string'), 'dataset_sha256': Value('string'), 'is_fast_path_available': Value('bool'), 'max_new_tokens': Value('int64'), 'max_pixels': Value('int64'), 'merge_size': Value('int64'), 'min_pixels': Value('int64'), 'model_id': Value('string'), 'model_revision': Value('string'), 'no_think_max_new_tokens': Value('int64'), 'option_rule_hash': Value('string'), 'patch_size': Value('int64'), 'prompt_hash': Value('string'), 'script_sha256': Value('string'), 'torch_version': Value('string'), 'transformers_version': Value('string')}
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
categories: struct<Perception/Attributes: struct<gold: struct<A: int64, B: int64>, n: int64, readout_ok: int64, (... 1211 chars omitted)
child 0, Perception/Attributes: struct<gold: struct<A: int64, B: int64>, n: int64, readout_ok: int64, readout_skipped_no_options: in (... 4 chars omitted)
child 0, gold: struct<A: int64, B: int64>
child 0, A: int64
child 1, B: int64
child 1, n: int64
child 2, readout_ok: int64
child 3, readout_skipped_no_options: int64
child 1, Perception/Material: struct<gold: struct<B: int64, C: int64>, n: int64, readout_ok: int64, readout_skipped_no_options: in (... 4 chars omitted)
child 0, gold: struct<B: int64, C: int64>
child 0, B: int64
child 1, C: int64
child 1, n: int64
child 2, readout_ok: int64
child 3, readout_skipped_no_options: int64
child 2, Perception/OCR: struct<gold: struct<C: int64, D: int64>, n: int64, readout_ok: int64, readout_skipped_no_options: in (... 4 chars omitted)
child 0, gold: struct<C: int64, D: int64>
child 0, C: int64
child 1, D: int64
child 1, n: int64
child 2, readout_ok: int64
child 3, readout_skipped_no_options: int64
child 3, Perception/Object Retrieval: struct<gold: struct<B: int64, C: int64>, n: int64, readout_ok: int64, readout_skipped_no_options: in (... 4 chars omitted)
child 0, gold: struct<B: int64, C: int64>
child 0, B: int64
child 1, C: int64
...
t<A: int64>
child 0, A: int64
child 1, n: int64
child 2, readout_ok: int64
child 3, readout_skipped_no_options: int64
child 8, Reasoning/Perspective Transform: struct<gold: struct<C: int64, D: int64>, n: int64, readout_ok: int64, readout_skipped_no_options: in (... 4 chars omitted)
child 0, gold: struct<C: int64, D: int64>
child 0, C: int64
child 1, D: int64
child 1, n: int64
child 2, readout_ok: int64
child 3, readout_skipped_no_options: int64
child 9, Reasoning/Spatial Containment: struct<gold: struct<A: int64, C: int64>, n: int64, readout_ok: int64, readout_skipped_no_options: in (... 4 chars omitted)
child 0, gold: struct<A: int64, C: int64>
child 0, A: int64
child 1, C: int64
child 1, n: int64
child 2, readout_ok: int64
child 3, readout_skipped_no_options: int64
n_items: int64
ocr_category: string
option_anomalies: list<item: null>
child 0, item: null
option_anomaly_counts: struct<duplicate_letters: int64, inline_markers: int64>
child 0, duplicate_letters: int64
child 1, inline_markers: int64
patch_size: int64
max_new_tokens: int64
max_pixels: int64
prompt_hash: string
torch_version: string
model_id: string
merge_size: int64
is_fast_path_available: bool
chat_template_hash: string
model_revision: string
script_sha256: string
min_pixels: int64
dataset_sha256: string
option_rule_hash: string
no_think_max_new_tokens: int64
transformers_version: string
to
{'chat_template_hash': Value('string'), 'dataset_sha256': Value('string'), 'is_fast_path_available': Value('bool'), 'max_new_tokens': Value('int64'), 'max_pixels': Value('int64'), 'merge_size': Value('int64'), 'min_pixels': Value('int64'), 'model_id': Value('string'), 'model_revision': Value('string'), 'no_think_max_new_tokens': Value('int64'), 'option_rule_hash': Value('string'), 'patch_size': Value('int64'), 'prompt_hash': Value('string'), 'script_sha256': Value('string'), 'torch_version': Value('string'), 'transformers_version': 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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