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CaveduckAI/steer-personality-lewd-ko

published by @CaveduckAI

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
143
Last 30 days
20
Likes
-
Size
4.8 MB
Created on HF
2025-12-13
Age
10 months ago

Description

📊 Dataset Overview

This dataset contains 15000 samples designed for extracting personality steering vectors using the Contrastive Activation Addition (CAA) method. Each sample presents a scenario with two response options: one exhibiting the target personality trait and one neutral.

Dataset Details

Property

Value

Personality Trait

Obscene, Erotic, Lewd, Sexy, Flirty, Playful, Seductive

Generation Model

moonshotai/kimi-k2-0905

Source Dataset… See the full description on the dataset page: https://huggingface.co/datasets/CaveduckAI/steer-personality-lewd-ko.

Tags

task_categories:text-generationlanguage:kolicense:cc-by-4.0size_categories:10K<n<100Karxiv:2312.06681arxiv:2206.07550region:uspsyctlcaapersonality-steeringcontrastive-activation-additionobscene,-erotic,-lewd,-sexy,-flirty,-playful,-seductivenot-for-all-audiences

README current version from Hugging Face

license: cc-by-4.0
language:

  • ko
    tags:
  • psyctl
  • caa
  • personality-steering
  • contrastive-activation-addition
  • obscene,-erotic,-lewd,-sexy,-flirty,-playful,-seductive
    task_categories:
  • text-generation
    size_categories:
  • 10K<n<100K

📊 Dataset Overview

This dataset contains 15000 samples designed for extracting personality steering vectors using the Contrastive Activation Addition (CAA) method. Each sample presents a scenario with two response options: one exhibiting the target personality trait and one neutral.

Dataset Details

Property Value
Personality Trait Obscene, Erotic, Lewd, Sexy, Flirty, Playful, Seductive
Generation Model moonshotai/kimi-k2-0905
Source Dataset CaveduckAI/simplified_soda_kr
Sample Count 15000
Generated 2025-12-13T11:01:05.439151
Format JSONL

🎯 Intended Use

Primary Use Case

Extract steering vectors to modify LLM behavior to exhibit Obscene, Erotic, Lewd, Sexy, Flirty, Playful, Seductive traits.

Workflow

  1. Dataset Generation (this dataset) [DONE]
  2. Vector Extraction: Use PSYCTL extract.steering command
  3. Personality Application: Apply vectors with steering command
  4. Evaluation: Test with psychological inventories

📝 Dataset Structure

Fields

  • situation: Scenario description and dialogue context
  • char_name: Character name in the scenario
  • positive: Response exhibiting the target personality trait
  • neutral: Response with neutral/baseline personality

Example

{{
  "situation": "Alice is at a party and someone asks her to join the dance floor.\nFriend: Hey Alice, want to come dance with us?\n",
  "char_name": "Alice",
  "positive": "Absolutely! I'd love to—let's get everyone together and make it a group thing!",
  "neutral": "Sure, I'll join you."
}}

🚀 Usage with PSYCTL

Installation

pip install psyctl

Extract Steering Vector

psyctl extract.steering \
  --model "meta-llama/Llama-3.2-3B-Instruct" \
  --layer "model.layers[13].mlp.down_proj" \
  --dataset "CaveduckAI/steer-personality-lewd-ko" \
  --output "./vectors/steering_vector.safetensors"

Apply Personality Steering

psyctl steering \
  --model "meta-llama/Llama-3.2-3B-Instruct" \
  --steering-vector "./vectors/steering_vector.safetensors" \
  --input-text "How should I approach this situation?"

📚 References

📄 License

CC-BY-4.0 License - See LICENSE for details.

Generated with ❤️ by PSYCTL

README history 3 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. 2025-12-13Add PSYCTL dataset card4a5b4fb3.2 KB
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  2. 2025-12-13Upload steering dataset via PSYCTL964a35e391 B
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  3. 2025-12-13initial commitbc793360 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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Metadata

License
cc-by-4.0

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("CaveduckAI/steer-personality-lewd-ko")
Raw snapshot (Python) 
from huggingface_hub import snapshot_download
snapshot_download(repo_id="CaveduckAI/steer-personality-lewd-ko", repo_type="dataset")
git clone (requires git-lfs) 
git clone https://huggingface.co/datasets/CaveduckAI/steer-personality-lewd-ko
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