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/webdataset/webdataset.py", line 81, in _split_generators
first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
fs: fsspec.AbstractFileSystem = fsspec.filesystem("memory")
~~~~~~~~~~~~~~~~~^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 302, in filesystem
cls = get_filesystem_class(protocol)
File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 239, in get_filesystem_class
raise ValueError(f"Protocol not known: {protocol}")
ValueError: Protocol not known: memory
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 71, 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.
IKEA ASM (RGB mirror)
This repository is a re-upload of the public RGB distribution of the IKEA ASM dataset. It preserves the category/view organization of the source archives and includes the official annotation, calibration, and split files needed to use the RGB videos.
This is a dataset mirror, not a training or experiment artifact. It does not contain model checkpoints, extracted features, project code, or training configuration. The repository currently covers the RGB streams and their official auxiliary files; it is not a claim to mirror every possible modality of the broader IKEA ASM release (for example, separate depth or pose packages).
Dataset Layout
There are four furniture categories and three RGB camera views:
| Category | Views |
|---|---|
Kallax_Shelf_Drawer |
dev1, dev2, dev3 |
Lack_Coffee_Table |
dev1, dev2, dev3 |
Lack_Side_Table |
dev1, dev2, dev3 |
Lack_TV_Bench |
dev1, dev2, dev3 |
Each RGB archive is an uncompressed tar file named
ikea_asm_RGB_<Category>_<View>.tar. The archives expand to paths such as:
Lack_Side_Table/<scan>/dev3/images/scan_video.avi
The tar files contain the original RGB AVI streams. Select one view archive or download all three view archives for a category, depending on the application.
Repository Files
| File | Purpose |
|---|---|
ikea_asm_RGB_<Category>_<View>.tar |
RGB videos for one category and view |
action_annotations.zip |
gt_action.npy, gt_segments.json, and ikea_annotation_db_full |
camera_params.zip |
RGB/depth camera calibration files |
utility_files.zip |
Action lists, official train/test split indexes, and calibration assets |
MANIFEST.tsv |
Archive category, view, file count, and payload size |
SHA256SUMS |
SHA-256 checksums for all 12 tar files and the three ZIP files |
The three auxiliary archives are kept separate so that users who need only the videos do not have to download them.
Download
Install the Hugging Face CLI, then download one view archive:
hf download NeqCene/ikea_asm \
ikea_asm_RGB_Lack_Side_Table_dev3.tar \
--repo-type dataset --local-dir .
tar -xf ikea_asm_RGB_Lack_Side_Table_dev3.tar
Download all RGB views for a category by listing the three archives explicitly:
hf download NeqCene/ikea_asm \
ikea_asm_RGB_Lack_Side_Table_dev1.tar \
ikea_asm_RGB_Lack_Side_Table_dev2.tar \
ikea_asm_RGB_Lack_Side_Table_dev3.tar \
--repo-type dataset --local-dir .
Download the official auxiliary files when using annotations, camera calibration, or the provided splits:
hf download NeqCene/ikea_asm \
action_annotations.zip camera_params.zip utility_files.zip \
--repo-type dataset --local-dir .
unzip action_annotations.zip
unzip camera_params.zip
unzip utility_files.zip
Verification
SHA256SUMS covers every archive in the repository. When only a subset has
been downloaded, ignore entries for missing files:
sha256sum -c SHA256SUMS --ignore-missing
For a complete mirror download, the same command verifies all 15 archives.
MANIFEST.tsv records the number of files and the sum of their uncompressed
payload bytes inside each tar archive; tar headers are not included in the
payload total.
Notes on the Mirror
The Lack_Side_Table_dev3 tar was rebuilt from a verified copy of its original
RGB AVI after an incomplete local copy was detected. Its archive structure,
file count, payload size, and SHA-256 are recorded in MANIFEST.tsv and
SHA256SUMS.
The archive format is intentionally preserved as tar rather than converting the videos to another container. Extraction is therefore expected before frame-level processing. The repository does not alter the annotation values or the official split definitions.
Source, Terms, and Citation
This mirror is based on the public IKEA ASM release. Follow the upstream dataset's terms of use and any applicable institutional or data-use requirements. Hosting this mirror does not grant additional rights or change the upstream license.
If you use IKEA ASM, cite:
Y. Ben-Shabat, X. Yu, F. Saleh, D. Campbell, C. Rodriguez-Opazo,
H. Li, and S. Gould, "The IKEA ASM Dataset: Understanding People
Assembling Furniture through Actions, Objects and Pose," WACV, 2021,
pp. 847-859.
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