datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
CIC-IDS2017The CICIDS2017 dataset consists of labeled network flows, including full packet payloads in pcap format, the corresponding profiles and the labeled flows (GeneratedLabelledFlows.zip) and CSV files for machine and deep learning purpose (MachineLearningCSV.zip) are publicly available for researchers. If you are using our dataset, you should cite our related paper which outlining the details of the dataset and its underlying principles:
Iman Sharafaldin, Arash Habibi Lashkari, and Ali A.… See the full description on the dataset page: https://huggingface.co/datasets/c01dsnap/CIC-IDS2017.CIC-IDS2017The CICIDS2017 dataset consists of labeled network flows, including full packet payloads in pcap format, the corresponding profiles and the labeled flows (GeneratedLabelledFlows.zip) and CSV files for machine and deep learning purpose (MachineLearningCSV.zip) are publicly available for researchers. If you are using our dataset, you should cite our related paper which outlining the details of the dataset and its underlying principles:
Iman Sharafaldin, Arash Habibi Lashkari, and Ali A.… See the full description on the dataset page: https://huggingface.co/datasets/muzom/CIC-IDS2017.idss-ans-e-reclamacao
Nota da ANS (IDSS) e reclamação de plano de saúde: 36 operadoras
Para 36 operadoras de plano de saúde, a nota que a ANS dá a cada uma (IDSS, apuração 2025 sobre 2024) ao lado da reclamação por 100 mil beneficiários em dois canais: o Consumidor.gov.br e a NIP, canal da própria ANS. Reclamações de julho de 2025 a junho de 2026.
English summary: For 36 Brazilian health plan operators, the regulator's performance score (IDSS 2025) next to complaints per 100,000 members on… See the full description on the dataset page: https://huggingface.co/datasets/dnacx/idss-ans-e-reclamacao.CSE-CIC-IDS2018-V2This is the updated version CSE-CIC-IDS 2018 dataset. The data is normalised and 1 new class "Comb" which is a combination of existing attacks is added.
To cite the dataset, please reference the original paper with DOI: 10.1109/SmartNets61466.2024.10577645. The paper is published in IEEE SmartNets and can be accessed here: https://www.researchgate.net/publication/382034618_Blender-GAN_Multi-Target_Conditional_Generative_Adversarial_Network_for_Novel_Class_Synthetic_Data_Generation.
Citation… See the full description on the dataset page: https://huggingface.co/datasets/abluva/CSE-CIC-IDS2018-V2.CIC-IDS2017The CICIDS2017 dataset consists of labeled network flows, including full packet payloads in pcap format, the corresponding profiles and the labeled flows (GeneratedLabelledFlows.zip) and CSV files for machine and deep learning purpose (MachineLearningCSV.zip) are publicly available for researchers. If you are using our dataset, you should cite our related paper which outlining the details of the dataset and its underlying principles:
Iman Sharafaldin, Arash Habibi Lashkari, and Ali A.… See the full description on the dataset page: https://huggingface.co/datasets/ksay1o/CIC-IDS2017.whisper_transcriptions_token_idsCic-Ids2023-DiFLCIC-IDS-2017-V2The CIC-IDS-V2 is an extended version of the original CIC-IDS 2017 dataset. The dataset is normalised and 1 new class called "Comb" is added which is a combination of synthesised data of multiple non-benign classes.
To cite the dataset, please reference the original paper with DOI: 10.1109/SmartNets61466.2024.10577645. The paper is published in IEEE SmartNets and can be accessed here:… See the full description on the dataset page: https://huggingface.co/datasets/abluva/CIC-IDS-2017-V2.Cic-Ids2017-DiFLdml-fl-iot-ids
DML-FL IoT IDS Benchmark Results
Results from the paper: Dynamic Multilevel Clustered Federated Learning for IoT Intrusion Detection
Grid (72 total runs)
Dimension
Options
Models
CNN, BiLSTM, CNN+BiLSTM, Transformer (fixed)
FL Algorithms
FedAvg, FedProx, FedNova
Datasets
CICIDS2017, UNSW-NB15, Edge-IIoTset
Distributions
IID, Non-IID (Dirichlet α=0.5)
Clients / Rounds
30 clients / 30 rounds / 3 local epochs
Files
File… See the full description on the dataset page: https://huggingface.co/datasets/JabaleNurAdnan/dml-fl-iot-ids.Joint_IDSF_Bangla
Joint_IDFS_Bangla
Dataset Description
The Joint_IDFS_Bangla dataset is an intent detection and slot filling dataset in the Bangla language, derived from the SNIPS dataset originally in English. It includes Bangla sentences annotated for intent classification and slot filling tasks, commonly used in natural language understanding and named entity recognition applications.
The training and development (validation) datasets were translated from English using the Llama 3… See the full description on the dataset page: https://huggingface.co/datasets/RezaulKarim03/Joint_IDSF_Bangla.ereno-ids
ERENO IEC-61850 Intrusion Detection Dataset
Dataset for intrusion detection in IEC-61850 GOOSE smart grid networks.
ids_test_allids_att_v4IDS_LOGS_DSids-sst-train
Citation Information
@inproceedings{socher-etal-2013-recursive,
title = "Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank",
author = "Socher, Richard and
Perelygin, Alex and
Wu, Jean and
Chuang, Jason and
Manning, Christopher D. and
Ng, Andrew and
Potts, Christopher",
booktitle = "Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing",
month = oct,
year =… See the full description on the dataset page: https://huggingface.co/datasets/linmalin/ids-sst-train.CIC-IDS-2017-V2CIC-IDS2017wiki_book_movie_ids_matchingAugmented_CIC-IDS2017dml-fl-iot-ids-baselineIDsvindelCIC-IDS2018CIC-IDS2017Host-IDS