Datasets:
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Download README.md from CodeferSystem/GPT2-Hacker-password-generator-dataset: direct link, hf CLI and curl.
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https://huggingface.co/datasets/CodeferSystem/GPT2-Hacker-password-generator-dataset/resolve/main/README.md
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hf download hf://datasets/CodeferSystem/GPT2-Hacker-password-generator-dataset/README.md
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curl -L -o README.md https://huggingface.co/datasets/CodeferSystem/GPT2-Hacker-password-generator-dataset/resolve/main/README.md
1.27 kB
| license: apache-2.0 | |
| task_categories: | |
| - text-generation | |
| language: | |
| - en | |
| tags: | |
| - cybersecurity | |
| - passwords | |
| - text-generation | |
| pretty_name: Hacker Style Password Generation 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$?q3"). | |
| ### Data Instance | |
| A typical example from the dataset looks like this: | |
| ```python | |
| { | |
| 'Query': 'Could you craft a hacker password', | |
| 'Response': 'Here’s your hacker password: Sg~o^Z#sDK0$?q3' | |
| } |