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README.md

@@ -6,21 +6,23 @@ tags:
 - chinese
 - dialogue
 - meme
-- ikun
-license: mit
+- sft
+license: apache-2.0
 ---
 
 # CXK IKUN Dataset
 
-A dataset of ~100 dialogue samples about CXK (Cai Xukun) meme culture, "xiao heizi" (小黑子), and internet slang.
+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
+- "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
 
@@ -34,18 +36,114 @@ Each sample is a JSON object with:
 }
 ```
 
+## 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
+
 ```python
 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
+
+```python
+import json
+
+with open("ikun_sft.json", "r", encoding="utf-8") as f:
+    data = json.load(f)
+```
+
+## Data Examples
+
+### Example 1: Identity Recognition
+```json
+{
+  "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
+```json
+{
+  "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:
+
+```bibtex
+@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!* 
+*Practice for two and a half years!* 🎤🏀