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/folder_based_builder/folder_based_builder.py", line 250, in _split_generators
raise ValueError(
"`file_name`, `*_file_name`, `file_names` or `*_file_names` must be present as dictionary key in metadata files"
)
ValueError: `file_name`, `*_file_name`, `file_names` or `*_file_names` must be present as dictionary key in metadata files
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 68, 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.
DualReal main experiment data
Private training-data archive of five identity/motion pairs: 27 ID samples and 97 motion videos.
| Identity | ID samples | Motion | Motion videos |
|---|---|---|---|
| dog2_crop | 5 | SkateBoarding-Front | 12 |
| plushie_teddybear | 7 | PlayingViolin | 25 |
| plushie_wolf | 5 | PushUps | 25 |
| toy_gnome | 5 | PlayingFlute | 25 |
| cat3 | 5 | Run-Side | 10 |
Layout
id/<identity>/: original single-frame MP4 training media,videos.txt, andprompts_0110-pair.txt.motion/<action>/: original AVI training media,videos.txt, andprompts.txt.metadata.jsonl: one record per training sample with repository-relative media path, prompt, token, SHA-256, dimensions, frame count, and frame rate.pairs.json: identity/motion pair definitions; paths are relative to the repository root.SHA256SUMS: checksums for all other payload files.
Each videos.txt path is relative to its containing category directory. Prompt and media lines correspond by index. Original media and caption bytes are preserved. No train/validation/test split is defined. This is a file archive, not a pre-encoded latent dataset.
Data characteristics and checks
All 124 listed media files were fully decoded during the local audit, with no decoding errors. All lists have matching non-empty prompt/media lines, and all expected identity/motion tokens match.
ID media are 720x480 MP4 files containing exactly one frame each; they represent static identity images. Motion videos contain real movement at 10 or 25 FPS. Of the 97 motion clips, 37 have fewer than 81 frames (12 skateboarding, 10 running, and 15 push-ups). The legacy training loader pads these clips by repeating the final frame; it also directly resizes frames to 832x480 without unifying source FPS.
Only the five main experiment pairs are included. Stage3 multi-ID data, unused identities, model weights, training outputs, and machine-specific absolute paths are excluded.
Provenance and licensing
These files were copied from the owner's existing local DualReal training data. Upstream provenance and redistribution licenses have not been independently established; this dataset card does not grant a new license.
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