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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 289, 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/folder_based_builder/folder_based_builder.py", line 237, in _split_generators
raise ValueError(
ValueError: `file_name` or `*_file_name` must be present as dictionary key (with type string) 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 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 343, in get_dataset_split_names
info = get_dataset_config_info(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 294, 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.
ScanBot: Towards Intelligent Surface Scanning in Embodied Robotic Systems
This dataset is presented in the paper ScanBot: Towards Intelligent Surface Scanning in Embodied Robotic Systems.
🧠 Dataset Summary
ScanBot is a dataset for instruction-conditioned, high-precision surface scanning with robots. Unlike existing datasets that focus on coarse tasks like grasping or navigation, ScanBot targets industrial laser scanning, where sub-millimeter accuracy and parameter stability are essential. It includes scanning trajectories across 12 objects and 6 task types, each driven by natural language instructions. The dataset provides synchronized RGB, depth, laser profiles, robot poses, and joint states.
📦 Use Cases
- Vision-Language Action (VLA)
- Instruction-Guided Surface Scanning
- 3D Surface Reconstruction
- Spatial Reasoning and Feature Localization
- Laser Profile Analysis for Inspection Tasks
🗂️ Data Description
scanbot/
├── cube1/
│ ├── top_surface/
│ │ ├── path_001/
│ │ │ ├── rgb/
│ │ │ │ └── ...
│ │ │ ├── depth/
│ │ │ │ └── ...
| | | |── 1746226187.997976_gopro.mp4
│ │ │ ├── robot_joint_states.csv
│ │ │ ├── robot_tcp_poses.csv
│ │ │ └── metadata.json
│ │ ├── path_002/
│ │ │ └── ...
├── cube2
├── cylinder_red
├── cylinder_white
└── ...
💬 Task Levels
Each scan is driven by an instruction that falls under one of the following task categories:
| Task Type | Description |
|---|---|
| T1 | Surface Scan |
| T2 | Geometry Focus |
| T3 | Spatial Reference |
| T4 | Functional Target |
| T5 | Defect Inspection |
| T6 | Comparative Analysis |
🛠️ Hardware Setup
📖 Version Update
Version 1.0
The initial version of ScanBot contains 197 tasks, and involves 12 different objects.
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