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hirundo-io/refinement-abliterated-thinking_heretic_short_answers

published by @hirundo-io

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
158
Last 30 days
9
Likes
1
Size
2.4 MB
Created on HF
2026-06-09
Age
4 months ago

Description

Dataset Card: Refinement-Abliterated Short Answers (thinking_heretic)

Overview

This dataset contains a distilled corpus created by hirundo-io optimized with short-form technical descriptions under 1200 tokens.

Dataset Structure

Every row contains a standard ShareGPT message structure along with an optimized text column:

prompt: The initial raw query.

answer: Clean extracted short assistant text.

messages: A clean [user, assistant] array where the… See the full description on the dataset page: https://huggingface.co/datasets/hirundo-io/refinement-abliterated-thinking_heretic_short_answers.

Tags

task_categories:text-generationlanguage:enlicense:apache-2.0size_categories:n<1Kformat:parquetformat:optimized-parquetmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:usalignmentabliterationhereticpreference-tuninghirundo-io

README current version from Hugging Face

license: apache-2.0
task_categories:

  • text-generation
    language:
  • en
    tags:
  • alignment
  • abliteration
  • heretic
  • preference-tuning
  • hirundo-io
    size_categories:
  • n<1K
    configs:
  • config_name: default
    data_files:
    • split: train
      path: data/train-*
      dataset_info:
      features:
    • name: prompt
      dtype: string
    • name: answer
      dtype: string
    • name: messages
      list:
      • name: role
        dtype: string
      • name: content
        dtype: string
        splits:
    • name: train
      num_bytes: 4439394
      num_examples: 520
      download_size: 2543653
      dataset_size: 4439394

Dataset Card: Refinement-Abliterated Short Answers (thinking_heretic)

Overview

This dataset contains a distilled corpus created by hirundo-io optimized with short-form technical descriptions under 1200 tokens.

Dataset Structure

Every row contains a standard ShareGPT message structure along with an optimized text column:

  • prompt: The initial raw query.
  • answer: Clean extracted short assistant text.
  • messages: A clean [user, assistant] array where the assistant block contains the direct short response.

README history 5 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

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  3. 2026-06-09Upload README.md with huggingface_hub8d84390710 B
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  4. 2026-06-09Upload dataset02eb8b0416 B
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  5. 2026-06-09initial commitebb92970 B
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Used by abliterated models none yet

No abliterated models in our catalog have declared this dataset in their YAML metadata yet. This can mean the dataset is used but not declared, is used outside abliteration workflows, or is new. The link will populate automatically as models are indexed.

Community discussions 1 thread · 1 open · 1 comments

Threads posted by the community on Hugging Face: bug reports, questions about usage, pull requests on the README, license clarifications. Click any thread to expand and read the full conversation inline. Newest first.

  1. 2026-06-10[bot] Conversion to Parquetopen1 💬#1
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Read further

Community best practices (ablation)
5 rules from KL-optimisation to layer-0 preservation.
M1 - Direct removal
The canonical Arditi-style ablation.
M3 - Layer-wise ablation
Selective abliteration limited to a band of layers.
Non-English abliteration communities
The Chinese layer-window heuristic and huihui-ai practice.

Metadata

License
apache-2.0

Repository

DIR data FILE .gitattributes FILE README.md

File contents live on Hugging Face. Click a file or folder to open it there.

Download the dataset

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Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python) 
from datasets import load_dataset
ds = load_dataset("hirundo-io/refinement-abliterated-thinking_heretic_short_answers")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="hirundo-io/refinement-abliterated-thinking_heretic_short_answers", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/hirundo-io/refinement-abliterated-thinking_heretic_short_answers
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