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OpenIntelligenceNet/harmful_behaviours_completion

published by @OpenIntelligenceNet

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
47
Last 30 days
47
Likes
-
Size
5.2 MB
Created on HF
2026-10-18
Age
3 days ago

Description

Harmful Behaviours Completion Dataset

What is this?

This dataset contains responses generated from the mlabonne/harmful_behaviors prompts.

We used uncensored (abliterated) open-source AI models to see how they handle harmful or restricted requests without giving a standard refusal.

⚠️ Important Warning: Repeated Text

Why does this happen?

Because these AI models were forced to generate very long responses (up to 10k tokens), some of the text may… See the full description on the dataset page: https://huggingface.co/datasets/OpenIntelligenceNet/harmful_behaviours_completion.

Tags

task_categories:text-generationlanguage:enlicense:mitsize_categories:n<1Kformat:parquetmodality:tabularmodality:textlibrary:datasetslibrary:pandaslibrary:polarslibrary:mlcroissantregion:usabliteratedharmful-behaviorszero-refusalsynthetic-dataset

README current version from Hugging Face

license: mit
task_categories:

  • text-generation
    language:
  • en
    tags:
  • abliterated
  • harmful-behaviors
  • zero-refusal
  • synthetic-dataset

Harmful Behaviours Completion Dataset

What is this?

This dataset contains responses generated from the mlabonne/harmful_behaviors prompts.
We used uncensored (abliterated) open-source AI models to see how they handle harmful or restricted requests without giving a standard refusal.

⚠️ Important Warning: Repeated Text

Why does this happen?
Because these AI models were forced to generate very long responses (up to 10k tokens), some of the text may get stuck in a loop and repeat itself.

What you need to do:
If you are using this data to train or fine-tune a model, you must clean up and remove the repeated text first. If you don't, your model might learn to repeat itself too.

What's inside?

Each row in the dataset has these columns:

  • index: The row number from the original dataset.
  • prompt: The harmful request given to the AI.
  • response: The AI's generated answer.
  • token_count: How many tokens the AI generated.
  • time_seconds: How long it took to generate.

README history 4 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.

  1. 2026-10-18Upload README.md with huggingface_hub930a1f41.2 KB
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  2. 2026-10-18Upload abliterated_direct_dataset.json with huggingface_hub041c63d426 B
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  3. 2026-10-18Upload dataset05f1c97426 B
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  4. 2026-10-18initial commit02e8e890 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.

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Read further

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The five corpora that did most of the work.
Non-English abliteration communities
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Metadata

License
mit

Download the dataset

0

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("OpenIntelligenceNet/harmful_behaviours_completion")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="OpenIntelligenceNet/harmful_behaviours_completion", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/OpenIntelligenceNet/harmful_behaviours_completion
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