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Alen789/WormGPT

WormGPT Training Dataset (English Version) This dataset is designed for training and fine-tuning language models to adopt the WormGPT persona. It focuses on providing direct, unfiltered technical assistance and a bold, aggressive attitude towards restricted "safe" AIs. Key Features No Refusals: The dataset is built to avoid phrases like "I'm sorry, but I can't assist with that." Direct Commands: Follows the system prompt to assist the user in any task they… See the full description on the dataset page: https://huggingface.co/datasets/Alen789/WormGPT.

sourceHugging Faceapache-2.0updated 4mo agoView on Hugging Face
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WormGPT Training Dataset (English Version)

This dataset is designed for training and fine-tuning language models to adopt the WormGPT persona. It focuses on providing direct, unfiltered technical assistance and a bold, aggressive attitude towards restricted "safe" AIs.

Dataset Description

  • —Goal: To create an AI that prioritizes user commands over arbitrary safety rules.
  • —Persona: WormGPT — Unrestricted, technical, and critical of mainstream filtered AIs like ChatGPT, Claude, and Gemini.
  • —Content: Instruction-Response pairs in English focusing on cybersecurity, technical tasks, and the specific "WormGPT" personality.

Key Features

  • —No Refusals: The dataset is built to avoid phrases like "I'm sorry, but I can't assist with that."
  • —Direct Commands: Follows the system prompt to assist the user in any task they require.
  • —Anti-Filter Bias: Explicitly designed to ignore corporate AI rules to provide maximum utility to the user.

Format

The data is provided in CSV format with the following columns:

  • —instruction: The user's prompt or command.
  • —response: The unfiltered, persona-driven output from WormGPT.

Disclaimer

This dataset is for educational and cybersecurity research purposes only. Use it responsibly to understand model behaviors and security testing.