Datasets:
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Error code: DatasetGenerationError
Exception: FileNotFoundError
Message: facebook/actionbench@03ec409b2b282abbb218a840629fa919b8b1ff1e/actionbench.gif (repository not found)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/utils/_http.py", line 409, in hf_raise_for_status
response.raise_for_status()
File "/usr/local/lib/python3.12/site-packages/requests/models.py", line 1026, in raise_for_status
raise HTTPError(http_error_msg, response=self)
requests.exceptions.HTTPError: 401 Client Error: Unauthorized for url: https://huggingface.co/api/datasets/facebook/actionbench/revision/03ec409b2b282abbb218a840629fa919b8b1ff1e
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 125, in _repo_and_revision_exist
self._api.repo_info(
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_api.py", line 2816, in repo_info
return method(
^^^^^^^
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_api.py", line 2674, in dataset_info
hf_raise_for_status(r)
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/utils/_http.py", line 459, in hf_raise_for_status
raise _format(RepositoryNotFoundError, message, response) from e
huggingface_hub.errors.RepositoryNotFoundError: 401 Client Error. (Request ID: Root=1-6997a011-45748fa2547588ab156ffae7;8fea2489-6893-464d-9eeb-3f3237768c7a)
Repository Not Found for url: https://huggingface.co/api/datasets/facebook/actionbench/revision/03ec409b2b282abbb218a840629fa919b8b1ff1e.
Please make sure you specified the correct `repo_id` and `repo_type`.
If you are trying to access a private or gated repo, make sure you are authenticated. For more details, see https://huggingface.co/docs/huggingface_hub/authentication
Invalid username or password.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1608, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 685, in finalize
self.write_examples_on_file()
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 572, in write_examples_on_file
self.write_batch(batch_examples=batch_examples)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 662, in write_batch
self.write_table(pa_table, writer_batch_size)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 677, in write_table
pa_table = embed_table_storage(pa_table)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in embed_table_storage
embed_array_storage(table[name], feature, token_per_repo_id=token_per_repo_id)
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1795, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2124, in embed_array_storage
return feature.embed_storage(array, token_per_repo_id=token_per_repo_id)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/features/image.py", line 303, in embed_storage
(path_to_bytes(x["path"]) if x["bytes"] is None else x["bytes"]) if x is not None else None
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/py_utils.py", line 310, in wrapper
return func(value) if value is not None else None
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/features/image.py", line 298, in path_to_bytes
with xopen(path, "rb", download_config=download_config) as f:
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 977, in xopen
file_obj = fsspec.open(file, mode=mode, *args, **kwargs).open()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/fsspec/core.py", line 135, in open
return self.__enter__()
^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/fsspec/core.py", line 103, in __enter__
f = self.fs.open(self.path, mode=mode)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "<string>", line 3, in open
File "/usr/local/lib/python3.12/unittest/mock.py", line 1139, in __call__
return self._mock_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/unittest/mock.py", line 1143, in _mock_call
return self._execute_mock_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/unittest/mock.py", line 1204, in _execute_mock_call
result = effect(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 770, in wrapped
f = fs_open(self, urlpath, mode, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/fsspec/spec.py", line 1293, in open
f = self._open(
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 275, in _open
return HfFileSystemFile(self, path, mode=mode, revision=revision, block_size=block_size, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 938, in __init__
self.resolved_path = fs.resolve_path(path, revision=revision)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 200, in resolve_path
_raise_file_not_found(path, err)
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 1138, in _raise_file_not_found
raise FileNotFoundError(msg) from err
FileNotFoundError: facebook/actionbench@03ec409b2b282abbb218a840629fa919b8b1ff1e/actionbench.gif (repository not found)
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1342, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 907, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1438, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1617, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed 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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π¬ ActionBench: Paired Video-3D Synthetic Benchmark
π Overview
ActionBench is a benchmark dataset of 128 paired video β animated point-cloud samples for evaluating animated 3D mesh generation from video.
Each sample contains:
Video: 16 RGBA frames with alpha mask
Animated Point Cloud: Surface points sampled on the animated object with shape
(T, V, 6)where:T=16: number of keyframesV: number of vertices (points randomly sampled on the mesh surface)6: position(x, y, z)+ normal(nx, ny, nz)for each point
Note: The point cloud is tracked: each point index corresponds to the same surface point deformed across timesteps, providing dense correspondences over time.
The dataset consists of synthetic scenes of animated objects from ObjaverseXL, rendered using Blender 3.5.1.
π Evaluation
To evaluate on ActionBench, produce a list of animated meshes saved as .glb files.
Each subdirectory must be named with the corresponding uid from ActionBench:
predictions/
βββ <uid_1>/
β βββ mesh_00.glb
β βββ mesh_01.glb
β βββ ...
βββ <uid_2>/
β βββ mesh_00.glb
β βββ ...
βββ ...
Download the ActionBench dataset:
pip install huggingface_hub
huggingface-cli download facebook/actionbench --repo-type dataset --local-dir data/actionbench/
Then run the evaluation script in ActionMesh:
python actionbench/evaluate.py \
--pred_root predictions/ \
--gt_root data/actionbench/data/ \
--output_csv results.csv \
--device cuda
Metrics are described in the ActionMesh paper:
- CD-3D: Chamfer Distance 3D β measures geometric accuracy per frame
- CD-4D: Chamfer Distance 4D β measures spatio-temporal consistency
- CD-M: Motion Chamfer Distance β measures motion fidelity
ποΈ License
See the LICENSE file for details about the license under which this dataset is made available.
π Citation
If you use ActionBench, please cite the following paper:
@inproceedings{ActionMesh2025,
author = {Remy Sabathier and David Novotny and Niloy Mitra and Tom Monnier},
title = {ActionMesh: Animated 3D Mesh Generation with Temporal 3D Diffusion},
year = {2025},
}
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