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 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.
ACI-IoT-2023 — Processed Splits
Preprocessed train/test splits of the ACI IoT Network Traffic Dataset 2023, used by multi-agent-ids.
Contents
datasets.tar.gz (~445 MB, ~3.4 GB extracted) → datasets/processed/:
| File | Description |
|---|---|
train.csv, test.csv |
Multiclass splits (71 standardized flow features + Label) |
train_binary.csv, test_binary.csv |
Same splits, binary label (benign vs. malicious) |
label_mapping.json |
Class id → name (11 classes: Benign, DNS Flood, Dictionary Attack, ICMP Flood, OS Scan, Ping Sweep, Port Scan, SYN Flood, Slowloris, UDP Flood, Vulnerability Scan) |
scaler.pkl |
Fitted scikit-learn scaler (pickle — only load from sources you trust) |
Identifiers (IP addresses, ports, flow IDs, timestamps) are removed; only numeric flow statistics remain, standardized.
Usage
hf download knhn1004/aci-iot-2023-processed datasets.tar.gz --repo-type dataset --local-dir .
tar xzf datasets.tar.gz # creates datasets/processed/
Citation
If you use these splits, please cite:
@article{chou2026agentic,
author = {Chou, Chia-Hong and Sudheer, Arjun and Park, Younghee},
title = {An {LLM}-Based Agentic Network Traffic Incident-Report Approach Towards Explainable-{AI} Network Defense},
journal = {Journal of Sensor and Actuator Networks},
year = {2026},
volume = {15},
number = {2},
pages = {32},
doi = {10.3390/jsan15020032},
url = {https://www.mdpi.com/2224-2708/15/2/32}
}
Source & License
Derived from the ACI IoT Network Traffic Dataset 2023 (Army Cyber Institute), licensed CC BY 4.0. This derivative is released under the same license.
@misc{aciiot2023,
author = {Bastian, Nathaniel and Bierbrauer, David and McKenzie, Merrill and Nack, Emily},
title = {ACI IoT Network Traffic Dataset 2023},
year = {2023},
publisher = {IEEE Dataport},
doi = {10.21227/qacj-3x32}
}
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