metadata
license: mit
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype:
class_label:
names:
'0': attack
'1': normal
splits:
- name: train
num_bytes: 2168348027
num_examples: 1256906
- name: test
num_bytes: 1694780877
num_examples: 894651
download_size: 1608793256
dataset_size: 3863128904
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
task_categories:
- text-classification
- zero-shot-classification
- text-generation
pretty_name: Normal & Malicious Packet Data Set
size_categories:
- 1M<n<10M
Dataset Card for Dataset Name
Dataset Summary
This is a dataset of collection of malicious and normal packet payloads. They have been categorized into Attack and Normal.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
Hex and Ascii payloads
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
Split is Between Train and Test.
Dataset Creation
Source Data
Data Source: https://www.unb.ca/cic/datasets/ids-2017.html
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
[More Information Needed]
Annotations
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
https://huggingface.co/rdpahalavan