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 "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 80, in _split_generators
raise ValueError(
...<2 lines>...
)
ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
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 68, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, 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.
Autoware.AI Archive
Historical sample assets for Autoware.AI, preserved as downloadable archives. These files are intended for reproducing older ROS demos and inspecting their data; they are not a tabular dataset for load_dataset() or an Autoware Universe demo.
Files
| File | Size | Contents |
|---|---|---|
sample_moriyama_150324.tar.gz |
3,113,073,779 bytes | One ROS 1 bag, sample_moriyama_150324.bag (8,438,906,848 bytes uncompressed). |
sample_moriyama_150324.bag2.tar.gz |
3,128,461,543 bytes | A ROS 2 bag directory containing metadata.yaml and a SQLite .db3 file. The metadata reports 16,768 messages over about 479 seconds: 11,980 on /nmea_sentence and 4,788 on /points_raw; it also lists /clock with zero messages. |
sample_moriyama_data.tar.gz |
132,967,575 bytes | Moriyama vector map CSVs, point cloud map PCDs, a Prius camera/LiDAR calibration file, a route file, and a TF launch file under data/. |
region_tlr_ssd_trained_weights.tar.bz2 |
90,623,444 bytes | A Caffe SSD 300×300 traffic light recognition model: data/deploy.prototxt and data/Autoware_tlr_SSD_300x300_iter_60000.caffemodel. |
my_launch.sh |
8,930 bytes | Historical shell script that generates ROS launch files for the map, sensing, localization, detection, and planning demos. |
The two bag archives use different ROS bag formats. Their message-level equivalence has not been independently verified. The archives are distributed in their supplied form, without repacking or modification.
Use
Download only the files you need. For example, after downloading the map bundle and ROS 1 recording to the current directory:
mkdir -p "$HOME/.autoware"
tar -xzf sample_moriyama_data.tar.gz -C "$HOME/.autoware"
tar -xzf sample_moriyama_150324.tar.gz
rosbag info sample_moriyama_150324.bag
For the ROS 2 archive, extract it with tar -xzf sample_moriyama_150324.bag2.tar.gz and inspect sample_moriyama_150324.bag2/metadata.yaml with a compatible ROS 2 installation. The model archive uses tar -xjf region_tlr_ssd_trained_weights.tar.bz2. my_launch.sh targets historical Autoware.AI and ROS 1 package names; inspect it before running it in an appropriate environment.
Origin and limitations
The Autoware 1.1 user manual identifies the Moriyama ROS 1 bag, map bundle, and launch script as Nagoya University Quick Start demo assets. It notes that the original bag does not include image data for object detection. The Autoware.AI ROSBAG Demo guide lists the ROS 1 and ROS 2 archives as alternative downloads for the Moriyama demo and describes the LiDAR and GNSS sensors. An Autoware Foundation issue records the creation of the ROS 2 archive, but this card does not document its conversion procedure. The traffic light model's training data and evaluation results are not supplied.
The repository retains its existing apache-2.0 metadata. The rights and license terms for each historical data and model asset have not been independently verified. The recording includes location and point cloud data, and these assets have not been assessed for use in safety-critical systems.
SHA-256 checksums
2efe9c9c67c637c272efe57892eaeb6a95330b67f841bd039b92081e8b98c6fa my_launch.sh
d7c715fa39869e9649bafeab52cce61d2d4a34e0efacf630206866413e0a705d region_tlr_ssd_trained_weights.tar.bz2
37ca29dfe27739f3d8ebefa465eec692ae6d2fd7b96e9f702bbe1cc4d004ba35 sample_moriyama_150324.bag2.tar.gz
49a1f2dffc95bd52909508710a6332cd1c3a72559344db51f8803a4fd26b5a7f sample_moriyama_150324.tar.gz
fc653cf2e07a362a60d3b596cbea6e6d90cbd8f476cc824d84bd68bd582d4a47 sample_moriyama_data.tar.gz
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