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/webdataset/webdataset.py", line 91, in _split_generators
inferred_arrow_schema = pa.concat_tables(pa_tables, promote_options="default").schema
File "pyarrow/table.pxi", line 5317, in pyarrow.lib.concat_tables
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowTypeError: struct fields don't match or are in the wrong order: Input fields: struct<date_captured: string, location: string, logfile: string, token: string, vehicle: string> output fields: struct<date_captured: string, location: string, logfile: string, token: string, vehicle: string, description: string, name: string, rotation: list<item: double>, timestamp: int64, translation: list<item: double>, next: string, prev: string, scene_token: string>
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.
NuScenes Image-Only Dataset 🚗
A convenient, lightweight version of the NuScenes dataset, containing only the image data, resized for faster prototyping and training.
Overview
This dataset is a curated version of the official NuScenes dataset, created to provide a more accessible entry point for computer vision tasks that only require camera data. All images have been resized from their original resolution of (1600, 900) to (800, 450), significantly reducing the total dataset size and making it easier to handle.
How to Download and Use
Follow these steps to get the dataset set up on your local machine.
Step 1: Prerequisites
Ensure you have git and git-lfs (Large File Storage) installed. Git LFS is required to download the image files, which are stored as large file pointers in the repository.
You can install Git LFS using instructions from the official website.
Step 2: Install Git LFS
Once Git LFS is installed on your system, you need to enable it for your user account. You only need to run this command once per machine.
git lfs install
Step 3: Clone the Repository
Clone this dataset repository from Hugging Face. You can use either SSH or HTTPS.
Using SSH:
git clone git@hf.co:datasets/stonesstones/nusc-img-only
This command will start downloading the dataset. Due to the large number of images, this process may take some time.
Step 4: Extract and Organize the Images
After cloning is complete, navigate into the dataset directory and run the provided shell script. This script will extract all the .tar archives and organize the images into the correct samples and sweeps directories.
cd nusc-img-only
./extract_and_clean.sh
Once the script finishes, your directory will be populated with the image data, ready for use.
Dataset Structure
After extraction, the directory structure will mirror the camera data portion of the original NuScenes dataset:
nusc-img-only/
├── samples/
│ ├── CAM_BACK/
│ ├── CAM_BACK_LEFT/
│ ├── CAM_BACK_RIGHT/
│ ├── CAM_FRONT/
│ ├── CAM_FRONT_LEFT/
│ └── CAM_FRONT_RIGHT/
├── sweeps/
│ ├── CAM_BACK/
│ ├── ... (and so on for all cameras)
├── extract_and_clean.sh
├── ... (other metadata files)
- Downloads last month
- 9