The dataset viewer is not available for this dataset.
Error code: ConfigNamesError Exception: ReadTimeout Message: (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: e37f5e73-a28c-41ff-8e55-7da552ee3afd)') Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response config_names = get_dataset_config_names( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 165, in get_dataset_config_names dataset_module = dataset_module_factory( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1663, in dataset_module_factory raise e1 from None File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1620, in dataset_module_factory return HubDatasetModuleFactoryWithoutScript( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 977, in get_module standalone_yaml_path = cached_path( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 179, in cached_path resolved_path = huggingface_hub.HfFileSystem( 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 2704, 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 2561, 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 93, 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: e37f5e73-a28c-41ff-8e55-7da552ee3afd)')
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.
NCLT Dataset is The University of Michigan North Campus Long-Term Vision and LIDAR Dataset.
This dataset is a modified version of the NCLT Dataset, which is licensed under the Open Database License (ODbL) v1.0. As required by the license, this modified version is also released under the ODbL v1.0. You must attribute the original source and share any further modifications under the same license.
❗ Please note
This dataset is currently not compatible with the datasets
library.
The recommended way to download the data is by using the huggingface_hub
library.
Example code snippet:
from pathlib import Path
from huggingface_hub import snapshot_download
out_dir = Path("/dir/to/save/data")
out_dir.mkdir(parents=True, exist_ok=True)
snapshot_download(repo_id="OPR-Project/NCLT_OpenPlaceRecognition", repo_type="dataset", local_dir=out_dir)
For reading and working with the data, we recommend using the OpenPlaceRecognition library: https://github.com/OPR-Project/OpenPlaceRecognition
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