Malicious_packets / README.md
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---
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
### Contributions
https://huggingface.co/rdpahalavan