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---
license: mit
task_categories:
- text-to-image
tags:
- art
- not-for-all-audiences
size_categories:
- n<1K
---
# Dataset of ling/リィン/令 (Arknights)
This is the dataset of ling/リィン/令 (Arknights), containing 500 images and their tags.
The core tags of this character are `blue_hair, long_hair, horns, dragon_horns, pointy_ears, breasts, very_long_hair, blue_eyes, earrings, dragon_girl, braid, multicolored_hair, large_breasts, tail, dragon_tail`, 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 | 500 | 1.15 GiB | [Download](https://huggingface.co/datasets/CyberHarem/ling_arknights/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | -- | -- |
| stage3-p480-1200 | 1335 | 1.74 GiB | [Download](https://huggingface.co/datasets/CyberHarem/ling_arknights/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | 422 | 913 |
### 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/ling_arknights',
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 | 9 |  |  |  |  |  | 1girl, black_shorts, cowboy_shot, looking_at_viewer, open_coat, parted_lips, smile, solo, white_coat, white_shirt, yellow_necktie, holding, jewelry, short_shorts, black_gloves, elbow_gloves, gourd, long_sleeves, wide_sleeves, detached_collar, navel, thigh_strap |
| 1 | 10 |  |  |  |  |  | 1girl, black_shorts, cowboy_shot, looking_at_viewer, short_shorts, solo, white_coat, white_shirt, yellow_necktie, detached_collar, long_sleeves, open_coat, smile, jewelry, simple_background, black_gloves, white_background, elbow_gloves, thigh_strap, wide_sleeves, closed_mouth, holding, cleavage, hair_between_eyes, parted_lips |
| 2 | 7 |  |  |  |  |  | 1girl, looking_at_viewer, smile, solo, upper_body, white_shirt, yellow_necktie, black_gloves, parted_lips, simple_background, white_background, white_coat, elbow_gloves, jewelry, open_coat, detached_collar, wide_sleeves, cleavage, holding, long_sleeves, one_eye_closed, streaked_hair |
| 3 | 5 |  |  |  |  |  | 1girl, closed_mouth, solo, simple_background, smile, streaked_hair, white_background, jewelry, looking_at_viewer, ponytail, portrait, blue_background, from_side, hair_between_eyes, profile, purple_eyes, upper_body |
| 4 | 10 |  |  |  |  |  | 1girl, black_gloves, holding_cup, jewelry, open_coat, sitting, smile, solo, white_coat, white_footwear, yellow_necktie, long_sleeves, looking_at_viewer, white_shirt, black_shorts, short_shorts, parted_lips, bare_legs, elbow_gloves, thigh_strap, wide_sleeves, detached_collar, feet_out_of_frame, streaked_hair, ankle_boots, thighs |
| 5 | 10 |  |  |  |  |  | 1girl, jewelry, open_coat, solo, thigh_strap, white_coat, white_footwear, white_shirt, yellow_necktie, black_shorts, boots, full_body, lantern, looking_at_viewer, short_shorts, long_sleeves, gourd, smile, elbow_gloves, holding_staff, wide_sleeves, black_gloves, closed_mouth, bare_legs, detached_collar, standing |
| 6 | 8 |  |  |  |  |  | 1girl, black_shorts, jewelry, looking_at_viewer, open_coat, sitting, smile, solo, white_coat, white_shirt, yellow_necktie, black_gloves, holding_cup, long_sleeves, short_shorts, thigh_strap, detached_collar, elbow_gloves, feet_out_of_frame, closed_mouth, wide_sleeves, cleavage, one_eye_closed, ;), parted_lips, thighs |
| 7 | 33 |  |  |  |  |  | 1girl, blush, nipples, looking_at_viewer, navel, jewelry, smile, completely_nude, open_mouth, sweat, censored, gloves, pussy, simple_background, solo_focus, streaked_hair, white_background, hetero, lying, spread_legs |
| 8 | 6 |  |  |  |  |  | bare_shoulders, china_dress, jewelry, looking_at_viewer, sleeveless_dress, 1girl, colored_skin, official_alternate_costume, smile, solo, white_dress, cowboy_shot, holding_cup, parted_lips, streaked_hair, thighs, blush, cleavage, covered_navel |
| 9 | 25 |  |  |  |  |  | 1girl, solo, jewelry, looking_at_viewer, smile, detached_sleeves, holding, official_alternate_costume, wide_sleeves, bare_shoulders, white_dress, gloves, streaked_hair, blue_skin, long_sleeves, sash, white_background |
| 10 | 5 |  |  |  |  |  | bare_shoulders, colored_skin, grey_hair, hair_intakes, off_shoulder, white_jacket, long_sleeves, open_jacket, smile, strapless_shirt, streaked_hair, 1girl, blonde_hair, closed_mouth, green_hair, grey_eyes, hair_between_eyes, holding, looking_at_viewer, necklace, pants, solo, tassel_earrings, white_shirt, 2girls, bracelet, collarbone, colored_tips, parted_lips, red_eyeliner, simple_background, sisters, upper_body, white_background |
| 11 | 8 |  |  |  |  |  | 1girl, black_shorts, holding, jewelry, long_sleeves, short_shorts, smile, solo, looking_at_viewer, black_coat, cowboy_shot, detached_collar, gloves, gourd, navel, open_coat, purple_eyes, thigh_strap, bare_shoulders, off_shoulder, parted_lips, ponytail, bandeau, belt, medium_breasts, thighs, midriff, ribbon, shirt, staff, tube_top |
### Table Version
| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | black_shorts | cowboy_shot | looking_at_viewer | open_coat | parted_lips | smile | solo | white_coat | white_shirt | yellow_necktie | holding | jewelry | short_shorts | black_gloves | elbow_gloves | gourd | long_sleeves | wide_sleeves | detached_collar | navel | thigh_strap | simple_background | white_background | closed_mouth | cleavage | hair_between_eyes | upper_body | one_eye_closed | streaked_hair | ponytail | portrait | blue_background | from_side | profile | purple_eyes | holding_cup | sitting | white_footwear | bare_legs | feet_out_of_frame | ankle_boots | thighs | boots | full_body | lantern | holding_staff | standing | ;) | blush | nipples | completely_nude | open_mouth | sweat | censored | gloves | pussy | solo_focus | hetero | lying | spread_legs | bare_shoulders | china_dress | sleeveless_dress | colored_skin | official_alternate_costume | white_dress | covered_navel | detached_sleeves | blue_skin | sash | grey_hair | hair_intakes | off_shoulder | white_jacket | open_jacket | strapless_shirt | blonde_hair | green_hair | grey_eyes | necklace | pants | tassel_earrings | 2girls | bracelet | collarbone | colored_tips | red_eyeliner | sisters | black_coat | bandeau | belt | medium_breasts | midriff | ribbon | shirt | staff | tube_top |
|----:|----------:|:---------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------|:--------|:---------------|:--------------|:--------------------|:------------|:--------------|:--------|:-------|:-------------|:--------------|:-----------------|:----------|:----------|:---------------|:---------------|:---------------|:--------|:---------------|:---------------|:------------------|:--------|:--------------|:--------------------|:-------------------|:---------------|:-----------|:--------------------|:-------------|:-----------------|:----------------|:-----------|:-----------|:------------------|:------------|:----------|:--------------|:--------------|:----------|:-----------------|:------------|:--------------------|:--------------|:---------|:--------|:------------|:----------|:----------------|:-----------|:-----|:--------|:----------|:------------------|:-------------|:--------|:-----------|:---------|:--------|:-------------|:---------|:--------|:--------------|:-----------------|:--------------|:-------------------|:---------------|:-----------------------------|:--------------|:----------------|:-------------------|:------------|:-------|:------------|:---------------|:---------------|:---------------|:--------------|:------------------|:--------------|:-------------|:------------|:-----------|:--------|:------------------|:---------|:-----------|:-------------|:---------------|:---------------|:----------|:-------------|:----------|:-------|:-----------------|:----------|:---------|:--------|:--------|:-----------|
| 0 | 9 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 7 |  |  |  |  |  | X | | | X | X | X | X | X | X | X | X | X | X | | X | X | | X | X | X | | | X | X | | X | | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 5 |  |  |  |  |  | X | | | X | | | X | X | | | | | X | | | | | | | | | | X | X | X | | X | X | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 8 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 33 |  |  |  |  |  | X | | | X | | | X | | | | | | X | | | | | | | | X | | X | X | | | | | | X | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 6 |  |  |  |  |  | X | | X | X | | X | X | X | | | | | X | | | | | | | | | | | | | X | | | | X | | | | | | | X | | | | | | X | | | | | | | X | | | | | | | | | | | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 9 | 25 |  |  |  |  |  | X | | | X | | | X | X | | | | X | X | | | | | X | X | | | | | X | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | X | | | | X | X | | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 10 | 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 | X | X | X | X | X | X | | | | | | | | | |
| 11 | 8 |  |  |  |  |  | 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 |
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