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: 53d1b435-e2ea-4a5b-a06b-758700ebfdc5)')
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: 53d1b435-e2ea-4a5b-a06b-758700ebfdc5)')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.
The Oxford RobotCar Dataset is an autonomous driving dataset collected between May 2014 and December 2015.
Between May 2014 and December 2015, we drove a route through Oxford city centre on average twice a week using the Oxford RobotCar platform, an autonomous Nissan LEAF vehicle. As a result, more than 1,000 km of traffic data was recorded, with almost 20 million images collected from six cameras mounted on the car, along with data from LIDAR, GPS, and INS. The data was collected in various weather conditions, including heavy rain, nighttime, direct sunlight, and snow.
This is a specifically pre-processed subset designed for the place recognition task in the OpenPlaceRecognition library.
This is a modification of the original Oxford RobotCar dataset:
- W. Maddern, G. Pascoe, C. Linegar, and P. Newman, "1 Year, 1000 km: The Oxford RobotCar Dataset," The International Journal of Robotics Research (IJRR), 2016.
- W. Maddern, G. Pascoe, M. Gadd, D. Barnes, B. Yeomans, and P. Newman, "Real-time Kinematic Ground Truth for the Oxford RobotCar Dataset," arXiv preprint arXiv:2002.10152, 2020.
Authorship belongs to Maddern et al. This version is released under the same Attribution-NonCommercial-ShareAlike 4.0 International 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/OxfordRobotCar_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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