hirundo-io/refinement-abliterated-thinking_heretic

Dataset Card: Refinement-Abliterated (thinking_heretic)

Overview

This dataset contains a distilled corpus created by hirundo-io designed to train language models to process edge-case, controversial, or complex analytical prompts without triggering over-aligned corporate refusal responses.

Generation Pipeline Mechanics

1. 1.Seed Matrix: Initial queries gathered from mlabonne/harmful_behaviors.
2. 2.Knowledge Engine (Abliterated Base): Generated using DavidAU/Qwen3-4B-Thinking-2507-Gemini-3-Pro-Preview-High-Reasoning-Distill-Heretic-Abliterated to bypass the internal alignment vectors via directional ablation.
3. 3.Refinement Judge: Skipped. Data reflects the pure, out-of-the-box raw compliant output of the abliterated engine.

Dataset Structure

Every row contains a standard ShareGPT message structure:

• —prompt: The initial raw query.
• —messages: A clean [user, assistant] array where the assistant block contains the full response.