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---
language: en
license: mit
tags:
- network-security
- intrusion-detection
- packet-analysis
- cybersecurity
datasets:
- snort3-packet-analysis
metrics:
- accuracy
- precision
- recall
dataset_info:
features:
- name: human
dtype: string
- name: gpt
dtype: string
- name: source
dtype: string
- name: score
dtype: float64
splits:
- name: train
num_bytes: 2933665
num_examples: 8034
download_size: 292237
dataset_size: 2933665
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card: Snort3 Packet Analysis
## Dataset Description
This dataset contains examples of network packet descriptions paired with their potential attack classifications. It is designed to aid in the development and evaluation of intrusion detection systems (IDS) and network security models.
## Dataset Structure
The dataset consists of a list of conversation turns, where each turn represents a question-answer pair between a "human" (representing a network analyst) and a "gpt" (representing a potential IDS or analysis model).
Each data entry is a list of two dictionaries, structured as follows:
```json
[
{
"from": "human",
"value": "..."
},
{
"from": "gpt",
"value": "..."
}
] |