CyberHarem/jessica_reverse1999

---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---

# Dataset of Jessica/洁西卡/ジェシカ(リバース:1999) (Reverse:1999)

This is the dataset of Jessica/洁西卡/ジェシカ(リバース:1999) (Reverse:1999), containing 87 images and their tags.

The core tags of this character are `brown_hair, long_hair, animal_ears, deer_ears, deer_girl, hair_flower, hair_ornament, parted_bangs, green_eyes, monster_girl, hair_over_shoulder`, which are pruned in this dataset.

Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)).

## List of Packages

| Name | Images | Size | Download | Type | Description | Images-head | Images-others |
|:-----------------|---------:|:-----------|:---------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|:--------------|:----------------|
| raw | 87 | 167.21 MiB | [Download](https://huggingface.co/datasets/CyberHarem/jessica_reverse1999/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | -- | -- |
| stage3-p480-1200 | 212 | 262.28 MiB | [Download](https://huggingface.co/datasets/CyberHarem/jessica_reverse1999/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | 79 | 133 |

### Load Raw Dataset with Waifuc

We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code

```python
import os
import zipfile

from huggingface_hub import hf_hub_download
from waifuc.source import LocalSource

# download raw archive file
zip_file = hf_hub_download(
repo_id='CyberHarem/jessica_reverse1999',
repo_type='dataset',
filename='dataset-raw.zip',
)

# extract files to your directory
dataset_dir = 'dataset_dir'
os.makedirs(dataset_dir, exist_ok=True)
with zipfile.ZipFile(zip_file, 'r') as zf:
zf.extractall(dataset_dir)

# load the dataset with waifuc
source = LocalSource(dataset_dir)
for item in source:
print(item.image, item.meta['filename'], item.meta['tags'])
```

## List of Clusters

List of tag clustering result, maybe some outfits can be mined here.

### Raw Text Version

| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags |
|----:|----------:|:------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 20 |  |  |  |  |  | ear_tag, white_flower, white_shirt, 1girl, arm_belt, smile, long_sleeves, upper_body, brown_belt, centauroid, holding, looking_at_viewer, collared_shirt, daisy, white_dress, braid, open_mouth, outdoors, parted_lips, solo_focus |
| 1 | 9 |  |  |  |  |  | centauroid, closed_eyes, 1girl, arm_belt, ear_tag, long_sleeves, smile, solo, white_background, white_flower, full_body, open_mouth, simple_background, white_shirt, coat, deer_tail, dress, jacket |
| 2 | 5 |  |  |  |  |  | 1girl, bare_shoulders, centauroid, cowboy_shot, ear_tag, midriff, navel, off_shoulder, solo, stomach, closed_mouth, head_wreath, smile, cleavage, collarbone, hand_up, looking_at_viewer, simple_background, white_background, white_dress, brown_belt, elbow_gloves, holding, medium_breasts, small_breasts, upper_body, white_gloves, white_rose |
| 3 | 10 |  |  |  |  |  | 1girl, bare_shoulders, head_wreath, solo, centauroid, ear_tag, flower_wreath, off_shoulder, white_dress, breasts, looking_at_viewer, navel, smile, stomach, white_rose, collarbone, long_sleeves, night, outdoors, water, forest, parted_lips, skirt_hold, wading, belt, deer_tail, gloves, hand_up, midriff, open_mouth, sky |
| 4 | 9 |  |  |  |  |  | 1girl, hat, solo, centauroid, ear_tag, looking_at_viewer, open_mouth, shirt, blue_dress, holding, long_sleeves, neckerchief, white_flower, :d, blue_headwear, bouquet, simple_background |

### Table Version

| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | ear_tag | white_flower | white_shirt | 1girl | arm_belt | smile | long_sleeves | upper_body | brown_belt | centauroid | holding | looking_at_viewer | collared_shirt | daisy | white_dress | braid | open_mouth | outdoors | parted_lips | solo_focus | closed_eyes | solo | white_background | full_body | simple_background | coat | deer_tail | dress | jacket | bare_shoulders | cowboy_shot | midriff | navel | off_shoulder | stomach | closed_mouth | head_wreath | cleavage | collarbone | hand_up | elbow_gloves | medium_breasts | small_breasts | white_gloves | white_rose | flower_wreath | breasts | night | water | forest | skirt_hold | wading | belt | gloves | sky | hat | shirt | blue_dress | neckerchief | :d | blue_headwear | bouquet |
|----:|----------:|:------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------|:------------------------------------------------------------------------------------------------------------|:----------|:---------------|:--------------|:--------|:-----------|:--------|:---------------|:-------------|:-------------|:-------------|:----------|:--------------------|:-----------------|:--------|:--------------|:--------|:-------------|:-----------|:--------------|:-------------|:--------------|:-------|:-------------------|:------------|:--------------------|:-------|:------------|:--------|:---------|:-----------------|:--------------|:----------|:--------|:---------------|:----------|:---------------|:--------------|:-----------|:-------------|:----------|:---------------|:-----------------|:----------------|:---------------|:-------------|:----------------|:----------|:--------|:--------|:---------|:-------------|:---------|:-------|:---------|:------|:------|:--------|:-------------|:--------------|:-----|:----------------|:----------|
| 0 | 20 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 9 |  |  |  |  |  | X | X | X | X | X | X | X | | | X | | | | | | | X | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 5 |  |  |  |  |  | X | | | X | | X | | X | X | X | X | X | | | X | | | | | | | X | X | | X | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | |
| 3 | 10 |  |  |  |  |  | X | | | X | | X | X | | | X | | X | | | X | | X | X | X | | | X | | | | | X | | | X | | X | X | X | X | | X | | X | X | | | | | X | X | X | X | X | X | X | X | X | X | X | | | | | | | |
| 4 | 9 |  |  |  |  |  | X | X | | X | | | X | | | X | X | X | | | | | X | | | | | X | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X |