The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 49, in _split_generators
import h5py
ModuleNotFoundError: No module named 'h5py'
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/split_names.py", line 66, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.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.
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
- Downloads last month
- 28