Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
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 84, 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.
dsec (D-RICO format)
This repository holds the copy of dsec that our D-RICO rebuild uses: images and annotations produced by the
RICO benchmark processing code (boschresearch/ricobenchmark, ICCVW 2025 CLVision: "RICO: Two Realistic Benchmarks and an In-Depth Analysis for Incremental Learning in Object Detection") from the original release (https://dsec.ifi.uzh.ch). It is a derived copy (converted COCO-style annotations
annotations*.json, and for some sources fused / log-scaled images or a subset of sequences), not the untouched
original. Classes: person, bicycle, vehicle.
- Original source: https://dsec.ifi.uzh.ch
- Original work: Gehrig et al., DSEC: A Stereo Event Camera Dataset for Driving Scenarios, RA-L 2021. Please cite the original authors when you use this data.
- License: CC BY-SA 4.0. This copy is distributed under the same terms (ShareAlike where applicable). Use for non-commercial research only.
- No affiliation with the original authors; all rights to the original data remain with them.
- Purpose: reproducible domain-incremental / stream object-detection experiments (research paper).
Layout
annotations*.json(top level): D-RICO-format COCO-style annotations, plain files.shards/shard-XXXXX.tar: the image tree in ~1 GB uncompressed tar shards; member paths are relative to the dataset root (the paths used in the annotation json after therico/dsec/prefix).index.jsonl: one line per file,{"path": ..., "shard": ..., "size": ...}. To fetch only some images, downloadindex.jsonl, select the shards that contain them,hf download ... --include <shards>and extract.
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