Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 299, in get_dataset_config_info
for split_generator in builder._split_generators(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 83, in _split_generators
raise ValueError(
ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
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 65, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 353, in get_dataset_split_names
info = get_dataset_config_info(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 304, 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.
YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/datasets-cards)
Modified SceneFun3D Dataset for Open Vocabulary Functional 3D Scene Graphs
In evaluation of OpenFunGraph, we do not use the newest released version of SceneFun3D. Here we released the version we used and the annotations we added on this version.
Annotations
SceneFun3D.annotations.json: Object and interactive element segmentation annotations
SceneFun3D.relations.json: Functional 3D scene graph annotations
all_labels.json: all labels appeared in the dataset for evaluation
all_labels_clip.embedding.npy: CLIP embeddings of all labels appeared in the dataset for evaluation
all_edges.json: all relationship descriptions appeared in the dataset for edge evaluation
all_edges_bert_embeddings.npy: BERT embeddings of all relationship descriptions appeared in the dataset for edge evaluation
OpenFunGraph_split.txt: split used for OpenFunGraph evaluation
Assets for each scene
Here the assets and the usage are the same with SceneFun3D (https://scenefun3d.github.io/documentation/). We only use part of the dataset's assets for our work.
highres_depth: the ground-truth depth image projected from the mesh generated by Faro’s laser scanners (1920x1440 in landscape mode, 1440x1920 in portrait mode) - 10 FPS
wide: high resolution RGB images of the wide camera (1920x1440 in landscape mode, 1440x1920 in portrait mode) - 10 FPS
wide_intrinsics: camera intrinsics for the high resolution images
lowres_wide.traj: contains the ARKit camera pose trajectory in the ARKit coordinate system
metadata.csv: information about landscape or portrait for each scene
xxx_refined_transform.npy: 4x4 transformation matrix that registers the Faro laser scan to the ARKit coordinate system
xxx_laser_scan.ply: combined Faro laser scan with 5mm resolution
- Downloads last month
- 32