Adaptive Interpolation-Synthesis for Motion In-Betweening on Keyframe-Based Animation
Paper • 2605.02742 • Published
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: ValueError
Message: Illegal slicing argument for scalar dataspace
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/hdf5/hdf5.py", line 87, in _generate_tables
pa_table = _recursive_load_arrays(h5, self.info.features, start, end)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 273, in _recursive_load_arrays
arr = _recursive_load_arrays(dset, features[path], start, end)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 275, in _recursive_load_arrays
arr = _load_array(dset, path, start, end)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 242, in _load_array
arr = dset[start:end]
~~~~^^^^^^^^^^^
File "h5py/_objects.pyx", line 56, in h5py._objects.with_phil.wrapper
File "h5py/_objects.pyx", line 57, in h5py._objects.with_phil.wrapper
File "/usr/local/lib/python3.12/site-packages/h5py/_hl/dataset.py", line 879, in __getitem__
selection = sel2.select_read(fspace, args)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/h5py/_hl/selections2.py", line 101, in select_read
return ScalarReadSelection(fspace, args)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/h5py/_hl/selections2.py", line 86, in __init__
raise ValueError("Illegal slicing argument for scalar dataspace")
ValueError: Illegal slicing argument for scalar dataspaceNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Motion In-Betweening Dataset
Dataset Description
This dataset contains character animation sequences from production. It is used for training and evaluating the motion in-betweening method presented in:
https://arxiv.org/abs/2605.02742
Raël et al., "Adaptive Interpolation-Synthesis for Motion In-Betweening on Keyframe-Based Animation", SIGGRAPH 2026 Conference Papers (2026)
Dataset Summary
The dataset provides character animation at 24 fps for a single production rig, with each frame represented as a D=596-dimensional vector of rig controller values. It is split into two subsets:
in_house_dataset:8.5 hours of internal production sequences, split 95% for training and 5% for held-out evaluation (test_held_out_algorithmicandtest_held_out_randomsplits).prod_test_dataset:5 minutes of production data with ground-truth blocking keyposes, used for thetest_productionevaluation split.
For each subset, the dataset provides the processed per-frame controller-value sequences (vectorized_controller_values/) along with the corresponding block keypose annotations (vectorized_block_keyframes/). For in_house_dataset, the block keyposes are determined by the Domain-Based Algorithm; for prod_test_dataset, they are ground-truth animator block keyposes.
Usage
See the GitHub repository
Data Format
The repository is organized as follows:
root_directory/
├── in_house_dataset
│ ├── ranges.csv
│ ├── split_types.csv
│ ├── vectorized_block_keyframes
│ │ ├── test.h5
│ │ └── train.h5
│ └── vectorized_controller_values
│ └── ef25a8e5ecd2fa86420741e5646cd785aa025c44c06f4118aab77f558c8f6981
│ ├── test.h5
│ └── train.h5
└── prod_test_dataset
├── ranges.csv
├── split_types.csv
├── vectorized_block_keyframes
│ ├── test.h5
│ └── train.h5
└── vectorized_controller_values
└── ef25a8e5ecd2fa86420741e5646cd785aa025c44c06f4118aab77f558c8f6981
├── test.h5
└── train.h5
License
Apache 2.0
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