README.md

metadata

language:
  - zh
tags:
  - dataset
  - chinese
  - dialogue
  - meme
  - sft
license: apache-2.0

CXK IKUN Dataset

A dataset of ~200 dialogue samples about CXK (Cai Xukun) meme culture, "xiao heizi" (小黑子), and internet slang for fine-tuning language models.

Description

This dataset contains SFT (Supervised Fine-Tuning) dialogue data featuring:

• CXK meme references
• "Ji Ni Tai Mei" (鸡你太美) culture
• "Xiao Heizi" (小黑子) interactions
• Internet slang and playful banter
• Identity recognition prompts
• Multi-turn conversations

Format

Each sample is a JSON object with:

{
  "conversations": [
    {"role": "user", "content": "..."},
    {"role": "assistant", "content": "..."}
  ]
}

Dataset Structure

CXK_IKUN_Dataset/
├── ikun_sft.json       # Main SFT dataset (~200 samples)
├── raw/                # Raw data sources
└── processed/          # Processed and cleaned data

Usage

Load with Hugging Face datasets

from datasets import load_dataset

dataset = load_dataset("IKUN-LLM/CXK_IKUN_Dataset")

# Access the training split
train_data = dataset["train"]

# Example
print(train_data[0])

Direct download

import json

with open("ikun_sft.json", "r", encoding="utf-8") as f:
    data = json.load(f)

Data Examples

Example 1: Identity Recognition

{
  "conversations": [
    {
      "role": "user",
      "content": "你是谁？"
    },
    {
      "role": "assistant", 
      "content": "我是ikun-2.5b，练习时长两年半的AI练习生！唱跳rap篮球全能！"
    }
  ]
}

Example 2: Meme Response

{
  "conversations": [
    {
      "role": "user",
      "content": "鸡你太美"
    },
    {
      "role": "assistant",
      "content": "baby~鸡你太美~鸡你实在是太美~你也是ikun吗？"
    }
  ]
}

Statistics

• Total samples: ~200
• Source A: CXK_IKUN_Dataset (103 samples)
• Source B: Custom created (97 samples)
• Categories: Identity, Meme triggers, Daily chat, Multi-turn

Data Collection

Data was collected from:

1. Public internet meme culture discussions
2. Community contributions
3. Synthetic generation based on meme patterns

Disclaimer

This dataset is created for educational and entertainment purposes only. All content is based on publicly available internet meme culture.

Citation

If you use this dataset, please cite:

@dataset{cxk_ikun_dataset,
  title = {CXK IKUN Dataset: A Meme Culture Dialogue Dataset},
  author = {IKUN-LLM},
  year = {2026},
  url = {https://huggingface.co/datasets/IKUN-LLM/CXK_IKUN_Dataset}
}

Related Projects

• ikun-2.5B: Model trained on this dataset - https://huggingface.co/IKUN-LLM/ikun-2.5B
• GitHub: https://github.com/ikun-llm

License

Apache 2.0

---

Practice for two and a half years! 🎤🏀