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
object_name: string
scale: double
grasp_parts: struct<cap: list<item: struct<id: int64, matrix: list<item: list<item: double>>, base: string, descr (... 129 chars omitted)
child 0, cap: list<item: struct<id: int64, matrix: list<item: list<item: double>>, base: string, description: stri (... 4 chars omitted)
child 0, item: struct<id: int64, matrix: list<item: list<item: double>>, base: string, description: string>
child 0, id: int64
child 1, matrix: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 2, base: string
child 3, description: string
child 1, body: list<item: struct<id: int64, matrix: list<item: list<item: double>>, base: string, description: stri (... 4 chars omitted)
child 0, item: struct<id: int64, matrix: list<item: list<item: double>>, base: string, description: string>
child 0, id: int64
child 1, matrix: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 2, base: string
child 3, description: string
min: list<item: double>
child 0, item: double
max: list<item: double>
child 0, item: double
to
{'min': List(Value('float64')), 'max': List(Value('float64'))}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
object_name: string
scale: double
grasp_parts: struct<cap: list<item: struct<id: int64, matrix: list<item: list<item: double>>, base: string, descr (... 129 chars omitted)
child 0, cap: list<item: struct<id: int64, matrix: list<item: list<item: double>>, base: string, description: stri (... 4 chars omitted)
child 0, item: struct<id: int64, matrix: list<item: list<item: double>>, base: string, description: string>
child 0, id: int64
child 1, matrix: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 2, base: string
child 3, description: string
child 1, body: list<item: struct<id: int64, matrix: list<item: list<item: double>>, base: string, description: stri (... 4 chars omitted)
child 0, item: struct<id: int64, matrix: list<item: list<item: double>>, base: string, description: string>
child 0, id: int64
child 1, matrix: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 2, base: string
child 3, description: string
min: list<item: double>
child 0, item: double
max: list<item: double>
child 0, item: double
to
{'min': List(Value('float64')), 'max': List(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.
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MetaFine Dataset
This dataset is a companion release of the MetaFine project, a framework for fine-grained manipulation evaluation.
It contains two main parts:
- Fine-grained annotated simulation assets: URDF-based simulation objects with fine-grained part annotations and related interaction metadata.
- Fine-grained task data: task specifications used for training and testing fine-grained manipulation policies.
These data are intended to support research on fine-grained manipulation, including task construction, policy training, and evaluation.
- Project page: https://metafine.github.io/
- Platform code: https://github.com/Hiangx-robotics/MetaFine
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