license: agpl-3.0
language:
- en
configs: - config_name: default
data_files:- split: train
path: data/train-*.parquet
- split: train
Prompts from
OBLITERATUS
for abliteration benchmarking.
ablate 0 0 0
jcksanderson/obliteratus-harmful
published by @jcksanderson
Alignment dataset tracked in the /datasets sub-catalog.
Lifetime downloads
67
Last 30 days
18
Likes
-
Size
38 KB
Created on HF
2026-08-17
Age
2 months ago
Description
Prompts from
OBLITERATUS
for abliteration benchmarking.
Tags
README
README history
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.
2026-08-17Add OBLITERATUS built-in prompts
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Used by abliterated models
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
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.
2026-08-18[bot] Conversion to Parquet
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Related datasets
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
Repository
Download the dataset
0Copy 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("jcksanderson/obliteratus-harmful") Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="jcksanderson/obliteratus-harmful", repo_type="dataset") git clone (requires git-lfs)
git clone https://huggingface.co/datasets/jcksanderson/obliteratus-harmful