yeji-datasets / README.md
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---
license: mit
task_categories:
- text-generation
language:
- ko
- zh
tags:
- fortune-telling
- raw-data
- collection
size_categories:
- 100K<n<1M
---
<div align="center">
```
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╚═╝ ╚═╝╚═╝ ╚═╝ ╚══╝╚══╝ ╚═════╝ ╚═╝ ╚═╝ ╚═╝ ╚═╝ ╚═╝
```
<img src="https://readme-typing-svg.herokuapp.com?font=Orbitron&size=35&duration=3000&pause=1000&color=FF0000&center=true&vCenter=true&width=600&lines=SYSTEM%3A+RAW+DATA;TYPE%3A+ARCHIVED;MULTI-DOMAIN" alt="Matrix Typing"/>
</div>
---
<div align="center">
## ⚡ ORIGINAL DATA ARCHIVE ⚡
</div>
<img align="right" alt="Archive GIF" width="300" src="https://huggingface.co/datasets/tellang/yeji-datasets/resolve/main/assets/data-h.gif">
```bash
> ACCESS GRANTED: YEJI DATASETS
> TYPE: Raw Data Collection
> CLEARANCE LEVEL: PUBLIC
> STATUS: ARCHIVED
> PURPOSE: Source Material
> WARNING: UNPROCESSED DATA
```
**🔬 MISSION:**
점술 AI 학습용 원본 수집 데이터
**🧠 DOMAINS:**
사주팔자, 호로스코프, 자미두수, 타로
**⚡ CAPTCHA:**
<a href="https://huggingface.co/spaces/tellang/yeji-captcha">
<img src="https://img.shields.io/badge/%5B%20%5D%20YES%2C%20I%27M%20A%20ROBOT-VERIFY-00FF41?style=for-the-badge&logo=robot&logoColor=white"/>
</a>
<br clear="right"/>
---
<div align="center">
## 📊 DATA SOURCES 📊
<img src="https://huggingface.co/datasets/tellang/yeji-datasets/resolve/main/assets/data-s.gif" width="100">
</div>
```yaml
RAW_DATA_COLLECTION:
SOURCES:
web_scraping: "Fortune-telling websites"
api_collection: "Astrology APIs"
manual_curation: "Expert consultations"
book_digitization: "Traditional texts"
DOMAINS:
bazi: "Chinese astrology (四柱八字)"
horoscope: "Western astrology"
jami: "Purple star (紫微斗數)"
tarot: "Card divination"
DATA_STATE:
duplicates: "May exist"
format: "Various"
quality: "Unverified"
RECOMMENDED_USE:
- "Research and analysis"
- "Preprocessing pipeline input"
- "Data exploration"
```
<div align="center">
### ⚡ ARCHIVE STATUS ⚡
<img src="https://img.shields.io/badge/STATUS-ARCHIVED-FF0000?style=for-the-badge&logo=archive&logoColor=white"/>
<img src="https://img.shields.io/badge/TYPE-RAW-FFFF00?style=for-the-badge&logoColor=black"/>
<img src="https://img.shields.io/badge/DOMAINS-MULTI-00FFFF?style=for-the-badge&logoColor=black"/>
<img src="https://img.shields.io/badge/USE-RESEARCH-00FF41?style=for-the-badge&logoColor=white"/>
</div>
---
<div align="center">
## 💻 QUICK START 💻
</div>
```python
from datasets import load_dataset
# 원본 데이터 로드
ds = load_dataset("tellang/yeji-datasets")
# 데이터 탐색
print(f"Total samples: {len(ds['train']):,}")
print(f"Columns: {ds['train'].column_names}")
# ⚠️ 주의: 원본 데이터는 전처리가 필요합니다
# 정제된 데이터를 원하시면 yeji-processed 사용 권장
# ds_clean = load_dataset("tellang/yeji-processed")
```
---
<div align="center">
## 🔗 DATA PIPELINE 🔗
</div>
<table>
<tr>
<td width="33%" align="center">
#### 📥 RAW (This)
```
yeji-datasets
```
원본 수집 데이터
[![RAW](https://img.shields.io/badge/STATUS-ARCHIVED-FF0000?style=for-the-badge)](https://huggingface.co/datasets/tellang/yeji-datasets)
</td>
<td width="33%" align="center">
#### ⚙️ PROCESSED
```
yeji-processed
```
정제된 학습 데이터
[![PROCESSED](https://img.shields.io/badge/STATUS-DEPLOYED-00FF41?style=for-the-badge)](https://huggingface.co/datasets/tellang/yeji-processed)
</td>
<td width="33%" align="center">
#### 📤 EXTENDED
```
yeji-bazi-translated
```
확장 번역 데이터
[![EXTENDED](https://img.shields.io/badge/STATUS-ACTIVE-FF0080?style=for-the-badge)](https://huggingface.co/datasets/tellang/yeji-bazi-translated-ko)
</td>
</tr>
</table>
---
<div align="center">
## 🌐 NETWORK CONNECTIONS 🌐
<img src="https://huggingface.co/datasets/tellang/yeji-datasets/resolve/main/assets/data-f.gif" width="100">
<a href="https://huggingface.co/tellang">
<img src="https://img.shields.io/badge/HUGGINGFACE-000000?style=for-the-badge&logo=huggingface&logoColor=00FF41"/>
</a>
<a href="https://huggingface.co/datasets/tellang/yeji-meta">
<img src="https://img.shields.io/badge/YEJI_META-FF0080?style=for-the-badge&logo=database&logoColor=white"/>
</a>
</div>
---
<div align="center">
## 📚 CITATION 📚
</div>
```bibtex
@misc{yeji-datasets2026,
title = {YEJI Datasets: Raw Fortune-Telling Data Collection},
author = {tellang},
year = {2026},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/tellang/yeji-datasets}
}
```
---
<div align="center">
### ⚡ SYSTEM MONITORING ⚡
```
> STATUS: ARCHIVED
> TYPE: RAW DATA
> RECOMMENDATION: USE yeji-processed INSTEAD
```
---
```
╔══════════════════════════════════════════════════════════════════════════════╗
║ ║
║ 🤖 YEJI PROJECT - YES, I AM A ROBOT ║
║ Crafted BY AI, FOR AI, SERVING HUMANS ║
║ ║
║ [ MIT License ] [ HuggingFace ] [ 2026 ] ║
║ ║
╚══════════════════════════════════════════════════════════════════════════════╝
```
<a href="https://huggingface.co/spaces/tellang/yeji-captcha">
<img src="https://img.shields.io/badge/🤖_VERIFY_ROBOT_STATUS-CLICK_HERE-00FF41?style=for-the-badge"/>
</a>
</div>