DownFlow/fuliji

---
license: mit
pretty_name: FuliJi Portrait Dataset
language:
- zh
- en
tags:
- image
- portrait
- cosplay
- asian
- finetuning
- lora
task_categories:
- image-classification
- text-to-image
- image-text-to-text
size_categories:
- n<1K
dataset_info:
features:
- name: image
dtype: image
- name: fuliji
dtype: string
- name: gallery
dtype: string
- name: text_en
dtype: string
- name: text_zh
dtype: string
- name: image_tags
sequence: string
- name: fuliji_tags
sequence: string
- name: image_tags_zh
sequence: string
- name: fuliji_tags_zh
sequence: string
splits:
- name: train
num_examples: 222
---

# FuliJi (福利姬) Portrait Dataset

A dataset of Asian portrait photographs for fine-tuning Vision-Language Models.

## Statistics

| Metric | Value |
|--------|-------|
| Total Images | 222 |
| Unique Artists (福利姬) | 222 |
| Bilingual Descriptions | ✅ EN + ZH |

## Schema

| Column | Type | Description |
|--------|------|-------------|
| `image` | image | Portrait photograph |
| `fuliji` | string | Artist name (福利姬) |
| `gallery` | string | Photo set/collection name |
| `text_en` | string | English description |
| `text_zh` | string | Chinese description |
| `image_tags` | list | Content tags (clothing, pose, scene) |
| `fuliji_tags` | list | Artist feature tags |
| `image_tags_zh` | list | Chinese translations |
| `fuliji_tags_zh` | list | Chinese translations |

## Usage

```python
from datasets import load_dataset

dataset = load_dataset("DownFlow/fuliji", split="train")
example = dataset[0]
print(example['fuliji']) # Artist name
print(example['text_en']) # English description
```

## License

MIT License - For research and personal use only.