π€ simsimi-ai-agent-data
A curated dataset of ~20K Korean youth counseling dialogues designed for building empathetic AI agents. The data originates from AI Hub's public dataset and has been refined and structured for use in Retrieval-Augmented Generation (RAG) pipelines and dialogue modeling tasks.
π Dataset Details
- Source: AI Hub μ²μλ μλ΄ λ°μ΄ν°
- Size: ~20,000 dialogue pairs
- Language: Korean
- Format: JSONL
Each record includes:
| Field | Description |
|---|---|
id |
Unique identifier |
user |
Utterance from the adolescent |
agent |
Counselor or chatbot response |
embedding |
(Optional) KoSBERT vector for similarity search |
topic |
(Optional) Manually assigned topic tag |
π‘ Key Features
- Preprocessed and cleaned for safe, domain-specific use
- Embeddings generated using KoSBERT for efficient vector search
- Ideal for RAG-based chatbots, counseling agents, and prompt-tuning
π§ Usage Example
from datasets import load_dataset
dataset = load_dataset("youdie006/simsimi-ai-agent-data")
print(dataset["train"][0])