datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
UNSW-NB15
UNSW-NB15
This data is provided through the Train, Test CSV file provided by UNSW-NB15.
link
Labels
The label of the data set is as follows.
#
Column
Non-Null
Count
Dtype
0
id
82332
non-null
int64
1
dur
82332
non-null
float64
2
proto
82332
non-null
object
3
service
82332
non-null
object
4
state
82332
non-null
object
5
spkts
82332
non-null
int64
6
dpkts
82332
non-null
int64
7
sbytes
82332
non-null
int64
8
dbytes
82332
non-null
int64
9
rate… See the full description on the dataset page: https://huggingface.co/datasets/Mireu-Lab/UNSW-NB15.UNSW-NB15-smallBESSTIE
BESSTIE: A Benchmark for Sentiment and Sarcasm Classification for Varieties of English
Authors: Dipankar Srirag, Aditya Joshi, Jordan Painter, and Diptesh Kanojia.
In Findings of the Association for Computational Linguistics: ACL 2025, Vienna, Austria.
Abstract
Despite large language models (LLMs) being known to exhibit bias against non-mainstream varieties, there are no known labeled datasets for sentiment analysis of English. To address this gap, we… See the full description on the dataset page: https://huggingface.co/datasets/unswnlporg/BESSTIE.unsw-nb15CIC-UNSW-NB15UNSW-NB15
UNSW-NB15
This data is provided through the Train, Test CSV file provided by UNSW-NB15.
link
Labels
The label of the data set is as follows.
#
Column
Non-Null
Count
Dtype
0
id
82332
non-null
int64
1
dur
82332
non-null
float64
2
proto
82332
non-null
object
3
service
82332
non-null
object
4
state
82332
non-null
object
5
spkts
82332
non-null
int64
6
dpkts
82332
non-null
int64
7
sbytes
82332
non-null
int64
8
dbytes
82332
non-null
int64
9
rate… See the full description on the dataset page: https://huggingface.co/datasets/jharrrry/UNSW-NB15.continual-unsw-anomaly-detectionUNSW-NB15UNSW-IoT
Dataset Card for Dataset Name
Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Supported Tasks and Leaderboards
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Languages
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Dataset Structure
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Dataset Creation… See the full description on the dataset page: https://huggingface.co/datasets/Mireu-Lab/UNSW-IoT.unsw-nb15-preprocessed
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/louiecerv/unsw-nb15-preprocessed.UNSW-NB15-V3The dataset is an extended version of UNSW-NB 15. It has 1 additional class synthesised and the data is normalised for ease of use.
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 info:
Madhubalan… See the full description on the dataset page: https://huggingface.co/datasets/abluva/UNSW-NB15-V3.unsw-nb15UNSW15-10unswUNSW15-15UNSW15-20UNSW15-30UNSW15UNSW15-5UNSW15-25UNSW15-35UNSW15-40UNSW15-50