Datasets:

ed1son
/

ScanBot

Error code:   InfoError
Exception:    ReadTimeout
Message:      (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: 18c2d371-27f5-4b2c-93b2-6cf24ca4b225)')
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 208, in compute_first_rows_from_streaming_response
                  info = get_dataset_config_info(path=dataset, config_name=config, token=hf_token)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 268, in get_dataset_config_info
                  builder = load_dataset_builder(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1132, in load_dataset_builder
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1031, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 996, in dataset_module_factory
                  return HubDatasetModuleFactory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 632, in get_module
                  data_files = DataFilesDict.from_patterns(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/data_files.py", line 689, in from_patterns
                  else DataFilesList.from_patterns(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/data_files.py", line 592, in from_patterns
                  origin_metadata = _get_origin_metadata(data_files, download_config=download_config)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/data_files.py", line 506, in _get_origin_metadata
                  return thread_map(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/tqdm/contrib/concurrent.py", line 69, in thread_map
                  return _executor_map(ThreadPoolExecutor, fn, *iterables, **tqdm_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/tqdm/contrib/concurrent.py", line 51, in _executor_map
                  return list(tqdm_class(ex.map(fn, *iterables, chunksize=chunksize), **kwargs))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/tqdm/std.py", line 1169, in __iter__
                  for obj in iterable:
                File "/usr/local/lib/python3.9/concurrent/futures/_base.py", line 609, in result_iterator
                  yield fs.pop().result()
                File "/usr/local/lib/python3.9/concurrent/futures/_base.py", line 446, in result
                  return self.__get_result()
                File "/usr/local/lib/python3.9/concurrent/futures/_base.py", line 391, in __get_result
                  raise self._exception
                File "/usr/local/lib/python3.9/concurrent/futures/thread.py", line 58, in run
                  result = self.fn(*self.args, **self.kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/data_files.py", line 485, in _get_single_origin_metadata
                  resolved_path = fs.resolve_path(data_file)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 198, in resolve_path
                  repo_and_revision_exist, err = self._repo_and_revision_exist(repo_type, repo_id, revision)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_file_system.py", line 125, in _repo_and_revision_exist
                  self._api.repo_info(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
                  return fn(*args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_api.py", line 2816, in repo_info
                  return method(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
                  return fn(*args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/hf_api.py", line 2673, in dataset_info
                  r = get_session().get(path, headers=headers, timeout=timeout, params=params)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/sessions.py", line 602, in get
                  return self.request("GET", url, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/sessions.py", line 589, in request
                  resp = self.send(prep, **send_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/sessions.py", line 703, in send
                  r = adapter.send(request, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/huggingface_hub/utils/_http.py", line 96, in send
                  return super().send(request, *args, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/requests/adapters.py", line 635, in send
                  raise ReadTimeout(e, request=request)
              requests.exceptions.ReadTimeout: (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: 18c2d371-27f5-4b2c-93b2-6cf24ca4b225)')

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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.

Downloads last month: 416

Size of the auto-converted Parquet files:

3.23 MB

Number of rows: