Name: CaveduckAI/steer-personality-extroversion-ko
Creator: CaveduckAI
Published: 2025-10-09T10:31:31
License: https://opensource.org/license/mit

Description

📊 Dataset Overview

This dataset contains 100 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

외향성 (Extroversion)

Generation Model

moonshotai/kimi-k2-0905

Source Dataset

CaveduckAI/simplified_soda_kr

Sample Count… See the full description on the dataset page: https://huggingface.co/datasets/CaveduckAI/steer-personality-extroversion-ko.

README current version from Hugging Face

license: mit
language:

ko
tags:
psyctl
caa
personality-steering
contrastive-activation-addition
외향성-(extroversion)
task_categories:
text-generation
size_categories:
n<1K

📊 Dataset Overview

This dataset contains 100 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	외향성 (Extroversion)
Generation Model	`moonshotai/kimi-k2-0905`
Source Dataset	`CaveduckAI/simplified_soda_kr`
Sample Count	100
Generated	2025-10-09T19:42:33.976283
Format	JSONL

🎯 Intended Use

Primary Use Case

Extract steering vectors to modify LLM behavior to exhibit 외향성 (Extroversion) traits.

Workflow

Dataset Generation (this dataset) ✓
Vector Extraction: Use PSYCTL extract.steering command
Personality Application: Apply vectors with steering command
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-extroversion-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

PSYCTL: GitHub Repository
CAA Paper: Contrastive Activation Addition
P2 Paper: Evaluating and Inducing Personality
Source Dataset: CaveduckAI/simplified_soda_kr

📄 License

MIT License - See LICENSE for details.

_{Generated with ❤️ by PSYCTL}

README history 9 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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Metadata

License

mit

Repository

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Download the dataset

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Recommended: datasets library (Python)

from datasets import load_dataset
ds = load_dataset("CaveduckAI/steer-personality-extroversion-ko")

Raw snapshot (Python)

from huggingface_hub import snapshot_download
snapshot_download(repo_id="CaveduckAI/steer-personality-extroversion-ko", repo_type="dataset")

git clone (requires git-lfs)

git clone https://huggingface.co/datasets/CaveduckAI/steer-personality-extroversion-ko

Browse repository on Hugging Face ->

CaveduckAI/steer-personality-extroversion-ko

Description

Tags

README current version from Hugging Face

📊 Dataset Overview

Dataset Details

🎯 Intended Use

Primary Use Case

Workflow

📝 Dataset Structure

Fields

Example

🚀 Usage with PSYCTL

Installation

Extract Steering Vector

Apply Personality Steering

📚 References

📄 License

README history 9 revisions

Used by abliterated models none yet

Related datasets same stage · extract

Read further

Metadata

Repository

Download the dataset

Run models on your own machine, not in the cloud.