CodeferSystem/GPT2-Hacker-password-generator-dataset

Hacker Style Password Generation Dataset

Dataset Description

This dataset contains 20,000 instruction-response pairs designed to train and evaluate language models for generating strong, "hacker-style" passwords. The data simulates a user requesting a secure password and the model providing a complex, randomly generated string.

Supported Tasks

• —Text Generation: The primary task is conditional text generation, where the model takes a natural language instruction (query) and generates a corresponding password (response).

Data Structure

The dataset is in CSV format with two columns:

• —Query: A natural language instruction requesting the generation of a password (e.g., "Could you craft a hacker password").
• —Response: The corresponding generated password, prefixed by a consistent phrase (e.g., "Here’s your hacker password: Sg~o^Z#sDK0$?q3").

Data Instance

A typical example from the dataset looks like this:

{
    'Query': 'Could you craft a hacker password',
    'Response': 'Here’s your hacker password: Sg~o^Z#sDK0$?q3'
}