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
canvas: struct<width: int64, height: int64>
child 0, width: int64
child 1, height: int64
instructions: string
pieces: list<item: struct<piece_id: string, color: list<item: int64>, vertices: list<item: list<item: double (... 80 chars omitted)
child 0, item: struct<piece_id: string, color: list<item: int64>, vertices: list<item: list<item: double>>, start_p (... 68 chars omitted)
child 0, piece_id: string
child 1, color: list<item: int64>
child 0, item: int64
child 2, vertices: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 3, start_pose: struct<reflect: bool, rot_deg: double, tx: double, ty: double>
child 0, reflect: bool
child 1, rot_deg: double
child 2, tx: double
child 3, ty: double
target_silhouette: list<item: list<item: list<item: double>>>
child 0, item: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
gold_poses: struct<large_tri_1: struct<reflect: bool, rot_deg: double, tx: double, ty: double>, large_tri_2: str (... 441 chars omitted)
child 0, large_tri_1: struct<reflect: bool, rot_deg: double, tx: double, ty: double>
child 0, reflect: bool
child 1, rot_deg: double
child 2, tx: double
child 3, ty: double
child 1, large_tri_2: struct<reflect: bool, rot_deg: double, tx: double, ty: double>
child 0, reflect: bool
child 1, rot_deg: double
child 2, tx: double
child 3, ty: double
child 2, medium_tri: struct<reflect: bool, rot_deg: double, tx: double, ty: double>
child 0, reflect: bool
child 1, rot_deg: double
child 2, tx: double
child 3, ty: double
child 3, square: struct<reflect: bool, rot_deg: double, tx: double, ty: double>
child 0, reflect: bool
child 1, rot_deg: double
child 2, tx: double
child 3, ty: double
child 4, parallelogram: struct<reflect: bool, rot_deg: double, tx: double, ty: double>
child 0, reflect: bool
child 1, rot_deg: double
child 2, tx: double
child 3, ty: double
child 5, small_tri_1: struct<reflect: bool, rot_deg: double, tx: double, ty: double>
child 0, reflect: bool
child 1, rot_deg: double
child 2, tx: double
child 3, ty: double
child 6, small_tri_2: struct<reflect: bool, rot_deg: double, tx: double, ty: double>
child 0, reflect: bool
child 1, rot_deg: double
child 2, tx: double
child 3, ty: double
answer: string
seed: int64
equivalence: string
difficulty: string
iou_threshold: double
to
{'answer': Value('string'), 'equivalence': Value('string'), 'difficulty': Value('string'), 'seed': Value('int64'), 'iou_threshold': Value('float64'), 'gold_poses': {'large_tri_1': {'reflect': Value('bool'), 'rot_deg': Value('float64'), 'tx': Value('float64'), 'ty': Value('float64')}, 'large_tri_2': {'reflect': Value('bool'), 'rot_deg': Value('float64'), 'tx': Value('float64'), 'ty': Value('float64')}, 'medium_tri': {'reflect': Value('bool'), 'rot_deg': Value('float64'), 'tx': Value('float64'), 'ty': Value('float64')}, 'square': {'reflect': Value('bool'), 'rot_deg': Value('float64'), 'tx': Value('float64'), 'ty': Value('float64')}, 'parallelogram': {'reflect': Value('bool'), 'rot_deg': Value('float64'), 'tx': Value('float64'), 'ty': Value('float64')}, 'small_tri_1': {'reflect': Value('bool'), 'rot_deg': Value('float64'), 'tx': Value('float64'), 'ty': Value('float64')}, 'small_tri_2': {'reflect': Value('bool'), 'rot_deg': Value('float64'), 'tx': Value('float64'), 'ty': Value('float64')}}}
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 489, 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 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
canvas: struct<width: int64, height: int64>
child 0, width: int64
child 1, height: int64
instructions: string
pieces: list<item: struct<piece_id: string, color: list<item: int64>, vertices: list<item: list<item: double (... 80 chars omitted)
child 0, item: struct<piece_id: string, color: list<item: int64>, vertices: list<item: list<item: double>>, start_p (... 68 chars omitted)
child 0, piece_id: string
child 1, color: list<item: int64>
child 0, item: int64
child 2, vertices: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 3, start_pose: struct<reflect: bool, rot_deg: double, tx: double, ty: double>
child 0, reflect: bool
child 1, rot_deg: double
child 2, tx: double
child 3, ty: double
target_silhouette: list<item: list<item: list<item: double>>>
child 0, item: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
gold_poses: struct<large_tri_1: struct<reflect: bool, rot_deg: double, tx: double, ty: double>, large_tri_2: str (... 441 chars omitted)
child 0, large_tri_1: struct<reflect: bool, rot_deg: double, tx: double, ty: double>
child 0, reflect: bool
child 1, rot_deg: double
child 2, tx: double
child 3, ty: double
child 1, large_tri_2: struct<reflect: bool, rot_deg: double, tx: double, ty: double>
child 0, reflect: bool
child 1, rot_deg: double
child 2, tx: double
child 3, ty: double
child 2, medium_tri: struct<reflect: bool, rot_deg: double, tx: double, ty: double>
child 0, reflect: bool
child 1, rot_deg: double
child 2, tx: double
child 3, ty: double
child 3, square: struct<reflect: bool, rot_deg: double, tx: double, ty: double>
child 0, reflect: bool
child 1, rot_deg: double
child 2, tx: double
child 3, ty: double
child 4, parallelogram: struct<reflect: bool, rot_deg: double, tx: double, ty: double>
child 0, reflect: bool
child 1, rot_deg: double
child 2, tx: double
child 3, ty: double
child 5, small_tri_1: struct<reflect: bool, rot_deg: double, tx: double, ty: double>
child 0, reflect: bool
child 1, rot_deg: double
child 2, tx: double
child 3, ty: double
child 6, small_tri_2: struct<reflect: bool, rot_deg: double, tx: double, ty: double>
child 0, reflect: bool
child 1, rot_deg: double
child 2, tx: double
child 3, ty: double
answer: string
seed: int64
equivalence: string
difficulty: string
iou_threshold: double
to
{'answer': Value('string'), 'equivalence': Value('string'), 'difficulty': Value('string'), 'seed': Value('int64'), 'iou_threshold': Value('float64'), 'gold_poses': {'large_tri_1': {'reflect': Value('bool'), 'rot_deg': Value('float64'), 'tx': Value('float64'), 'ty': Value('float64')}, 'large_tri_2': {'reflect': Value('bool'), 'rot_deg': Value('float64'), 'tx': Value('float64'), 'ty': Value('float64')}, 'medium_tri': {'reflect': Value('bool'), 'rot_deg': Value('float64'), 'tx': Value('float64'), 'ty': Value('float64')}, 'square': {'reflect': Value('bool'), 'rot_deg': Value('float64'), 'tx': Value('float64'), 'ty': Value('float64')}, 'parallelogram': {'reflect': Value('bool'), 'rot_deg': Value('float64'), 'tx': Value('float64'), 'ty': Value('float64')}, 'small_tri_1': {'reflect': Value('bool'), 'rot_deg': Value('float64'), 'tx': Value('float64'), 'ty': Value('float64')}, 'small_tri_2': {'reflect': Value('bool'), 'rot_deg': Value('float64'), 'tx': Value('float64'), 'ty': Value('float64')}}}
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.
Tangram WE-Task3 Dataset
Synthetic 832x480, 81-frame Tangram solution videos generated by we-task3.
- Train: 3,000 cases; easy, medium, and hard have 1,000 each.
- IID validation:
validation/; 25 cases per difficulty and 75 total. - Fixed OOD challenge:
ood/; one original Task 3 example per difficulty. - IID cases exclude every train seed and canonical translation/global-rotation class.
- See
SPLITS.mdand the split manifests for details.
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