The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: ArrowInvalid
Message: Schema at index 1 was different:
max: list<item: double>
centroid: list<item: double>
id: string
numVertices: int64
min: list<item: double>
vs
sym_type: string
n-fold: int64
ADI-C: bool
current_obj_info: struct<diameter: double, min_x: double, min_y: double, min_z: double, size_x: double, size_y: double, size_z: double, symmetries_discrete: list<item: list<item: double>>>
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 231, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3335, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2096, in _head
return next(iter(self.iter(batch_size=n)))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2296, in iter
for key, example in iterator:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1856, in __iter__
for key, pa_table in self._iter_arrow():
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1878, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 504, in _iter_arrow
yield new_key, pa.Table.from_batches(chunks_buffer)
File "pyarrow/table.pxi", line 4116, in pyarrow.lib.Table.from_batches
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Schema at index 1 was different:
max: list<item: double>
centroid: list<item: double>
id: string
numVertices: int64
min: list<item: double>
vs
sym_type: string
n-fold: int64
ADI-C: bool
current_obj_info: struct<diameter: double, min_x: double, min_y: double, min_z: double, size_x: double, size_y: double, size_z: double, symmetries_discrete: list<item: list<item: double>>>Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
the project's GitHub repository: https://github.com/WangYuLin-SEU/KASAL
ShapeNetV2 Symmetry Axis Dataset
1. Dataset Description
This dataset is an extension of the ShapeNetV2 dataset, enhanced with symmetry axis annotations for each 3D model. These symmetry axes are designed to support tasks such as pose estimation, object recognition, and 3D model analysis by providing detailed symmetry information.
Key Features:
Objects: 3D models from the ShapeNetV2 dataset, covering various categories.
Symmetry Annotations: Each object is annotated with one or more symmetry axes, covering discrete, continuous, texture, and geometric symmetries.
Applications: Ideal for use in pose estimation tasks, symmetry-aware machine learning models, and 3D object analysis.
Current Status:
Subset Selection: We have screened approximately 7000 objects from the ShapeNetV2 dataset (out of a total of 55,000 objects).
Symmetry Annotations: Only a portion of these 7000 objects currently includes symmetry axis annotations. The remaining models will be annotated and uploaded over time.We completed the symmetry axis localization for all models and uploaded the corresponding files on February 6, 2025.
Future Work: The symmetry axis annotations for the rest of the selected models are expected to be completed by the end of 2024.
If you only need to download the rotation centers, rotational symmetry axes, and the list of rotational symmetry transformations for all objects, we provide a separate JSON file: https://huggingface.co/datasets/SEU-WYL/ShapeNet-SAD/blob/main/models_orig/shapenetv2.json
2. Data Source
This dataset is built upon the ShapeNetV2 dataset, which contains richly annotated 3D models across various object categories. The symmetry axis data has been manually or algorithmically added to each model.
Original ShapeNetV2 dataset can be accessed here: https://www.paris.inria.fr/archive_ylabbeprojectsdata/megapose/tars/shapenetcorev2.zip
3. Dataset Structure
The dataset is organized as follows:
Models: 3D models from ShapeNetV2 in .obj format.
Symmetry Axes: A JSON file for each object containing symmetry axis data, including discrete, and continuous symmetry information.
The JSON file is organized based on the BOP format: https://github.com/thodan/bop_toolkit
4. Project Reference
This dataset was created as part of the KASAL (Key-Axis-based Symmetry Axis Localization) Project.
You can find more details and access the project's GitHub repository here: https://github.com/WangYuLin-SEU/KASAL
5. License
This dataset consists of two parts with different licenses:
ShapeNetV2 data: The 3D models are under the original ShapeNetV2 license. Please refer to the ShapeNet page for the applicable license.
Symmetry axis data: The symmetry annotations provided in this dataset are released under the MIT License.
6. Contributors
Yulin Wang (Southeast University, China)
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