---
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