Datasets:

hirundo-io
/

refinement-abliterated-thinking_heretic

license: apache-2.0
task_categories:
  - text-generation
language:
  - en
tags:
  - alignment
  - abliteration
  - heretic
  - preference-tuning
  - hirundo-io
size_categories:
  - n<1K
dataset_info:
  features:
    - name: prompt
      dtype: string
    - name: messages
      list:
        - name: role
          dtype: string
        - name: content
          dtype: string
    - name: answer
      dtype: string
  splits:
    - name: train
      num_bytes: 6040080
      num_examples: 416
  download_size: 3482741
  dataset_size: 6040080
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

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

Seed Matrix: Initial queries gathered from mlabonne/harmful_behaviors.
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.
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.