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.
FASDD_UAV (raw mirror) — GAVIN project
This is a raw, unmodified mirror of the FASDD_UAV split of the third-party FASDD dataset, republished here as part of the GAVIN (Garuda Agni Vahini) wildfire-detection research project. It is not GAVIN's own processed/derived data — see "License" below for what that distinction means.
What this is
FASDD: An Open-access 100,000-level Flame And Smoke Detection Dataset for Deep Learning in Fire Detection — this mirror is the FASDD_UAV (aerial) split only, 25,097 images with fire/smoke annotations in YOLO, VOC, COCO, and TDML formats, plus the dataset's own official train/val/test split.
Source & attribution (required)
- Original source: Science Data Bank — https://doi.org/10.57760/sciencedb.j00104.00103
- License: CC BY 4.0
- Required citation:
Ming Wang, Peng Yue, Liangcun Jiang, Dayu Yu, Tianyu Tuo, Jian Li. "An open flame and smoke detection dataset for deep learning in remote sensing based fire detection." Geo-Spatial Information Science, 28(2), 511-526, 2024. DOI: 10.1080/10095020.2024.2347922.
Structure
images/ (25,097 JPGs; filename prefix indicates class:
fire_*, smoke_*, bothFireAndSmoke_*, neitherFireNorSmoke_*)
annotations/
YOLO_UAV/
labels/*.txt (YOLO-format, one per image; class ids: 0=fire, 1=smoke)
train.txt / val.txt / test.txt (official split — 12,551 / 8,365 / 4,181)
COCO_UAV/Annotations/{train,val,test}.json
VOC_UAV/Annotations/*.xml
TDML_UAV/FASDD_UAV_TDML.json
License
This is a raw mirror of a third-party CC BY 4.0 dataset — the original CC BY 4.0 license governs this data, not GAVIN's own PolyForm Noncommercial license (which applies only to GAVIN's own code, trained weights, and derived/processed outputs). Attribution above must be preserved in any further redistribution.
Project
Part of GAVIN — a multi-modal, event-driven wildfire detection system for resource-constrained drones. See the repo for code, setup instructions, and the full dataset attribution ledger (DATA_SOURCES.md).
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