CyberHarem/tomoe_gozen_fgo

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

# Dataset of tomoe_gozen/巴御前/巴御前 (Fate/Grand Order)

This is the dataset of tomoe_gozen/巴御前/巴御前 (Fate/Grand Order), containing 500 images and their tags.

The core tags of this character are `long_hair, red_eyes, hair_between_eyes, breasts, grey_hair, white_hair, ribbon, ponytail, horns, very_long_hair, large_breasts, hair_ribbon, red_ribbon`, 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 |
|:-----------------|---------:|:-----------|:-----------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------|
| raw | 500 | 812.07 MiB | [Download](https://huggingface.co/datasets/CyberHarem/tomoe_gozen_fgo/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 1200 | 500 | 706.54 MiB | [Download](https://huggingface.co/datasets/CyberHarem/tomoe_gozen_fgo/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. |
| stage3-p480-1200 | 1283 | 1.38 GiB | [Download](https://huggingface.co/datasets/CyberHarem/tomoe_gozen_fgo/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. |

### 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/tomoe_gozen_fgo',
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 | 6 |  |  |  |  |  | 1girl, detached_sleeves, fingerless_gloves, looking_at_viewer, obi, red_gloves, smile, solo, mitsudomoe_(shape), white_kimono, simple_background, upper_body, white_background, blush, turtleneck |
| 1 | 6 |  |  |  |  |  | 1girl, detached_sleeves, hakama_pants, hip_vent, looking_at_viewer, obi, short_kimono, solo, white_kimono, blue_hakama, sitting, smile, turtleneck, black_undershirt, blush, mitsudomoe_(shape), white_background |
| 2 | 33 |  |  |  |  |  | 1girl, solo, obi, white_kimono, looking_at_viewer, red_gloves, fingerless_gloves, hakama_pants, katana, hip_vent, short_kimono, sode, blue_hakama, holding_sword, smile, mitsudomoe_(shape), sheath, cherry_blossoms, single_detached_sleeve, turtleneck |
| 3 | 6 |  |  |  |  |  | 1girl, headband, holding_sword, japanese_clothes, red_gloves, sode, solo, cherry_blossoms, fingerless_gloves, katana, kusazuri, looking_at_viewer, sheath, petals |
| 4 | 8 |  |  |  |  |  | 1girl, holding_sword, japanese_clothes, katana, kote, kusazuri, naginata, sode, solo, hair_bow, headband, holding_polearm, looking_at_viewer, red_gloves, cherry_blossoms, petals, fingerless_gloves, red_bow, mitsudomoe_(shape), standing |
| 5 | 12 |  |  |  |  |  | 1girl, headband, japanese_clothes, katana, solo, bare_shoulders, looking_at_viewer, sideboob, gloves, kusazuri, hair_bow, red_bow, holding_sword, sheath, kote, polearm, smile |
| 6 | 6 |  |  |  |  |  | 1girl, bare_shoulders, hair_bow, headband, red_bow, solo, upper_body, detached_sleeves, looking_at_viewer, japanese_armor, japanese_clothes, simple_background, sleeveless, smile, white_background, closed_mouth, petals, sideboob |
| 7 | 47 |  |  |  |  |  | 1girl, china_dress, solo, detached_sleeves, looking_at_viewer, smile, white_dress, wide_sleeves, bare_shoulders, oil-paper_umbrella, blush, holding_umbrella, closed_mouth, frilled_sleeves, mitsudomoe_(shape), side_slit, medium_breasts, sleeveless_dress, long_sleeves |
| 8 | 7 |  |  |  |  |  | 1girl, bare_shoulders, blush, looking_at_viewer, off-shoulder_sweater, ribbed_sweater, simple_background, solo, white_sweater, upper_body, closed_mouth, long_sleeves, smile, white_background, hair_scrunchie, turtleneck, sleeveless |
| 9 | 7 |  |  |  |  |  | 1girl, looking_at_viewer, obi, solo, wide_sleeves, long_sleeves, smile, blush, hamaya, holding_arrow, hair_flower, new_year, white_kimono, closed_mouth, collarbone, floral_print |
| 10 | 7 |  |  |  |  |  | 1girl, bare_shoulders, off_shoulder, single_braid, solo, wide_sleeves, floral_print, fox_mask, mask_on_head, red_kimono, hair_over_shoulder, long_sleeves, smile, blush, indoors, looking_at_viewer, obi, sitting, alternate_costume, closed_mouth, collarbone, food, holding |
| 11 | 9 |  |  |  |  |  | 1girl, blue_bow, blue_one-piece_swimsuit, hair_bow, highleg_swimsuit, looking_at_viewer, solo, thighs, two-tone_swimsuit, white_one-piece_swimsuit, bare_shoulders, blush, smile, thigh_strap, blue_sky, closed_mouth, day, outdoors, wet |
| 12 | 6 |  |  |  |  |  | 1girl, blue_bow, blue_one-piece_swimsuit, hair_bow, highleg_swimsuit, looking_at_viewer, solo, two-tone_swimsuit, white_one-piece_swimsuit, blue_jacket, blush, dual_wielding, energy_sword, open_jacket, short_sleeves, smile, thigh_strap, thighs, cropped_jacket, multicolored_swimsuit |
| 13 | 12 |  |  |  |  |  | 1girl, solo, blue_sky, cloud, day, ocean, outdoors, blush, looking_at_viewer, navel, collarbone, water, bare_shoulders, cleavage, beach, smile, armpits, wet, white_bikini, side-tie_bikini_bottom |
| 14 | 9 |  |  |  |  |  | 1girl, beret, smile, solo, white_gloves, white_shirt, looking_at_viewer, purple_headwear, red_horns, blue_headwear, blush, purple_capelet, red_necktie, shoulder_strap, collared_shirt, mitsudomoe_(shape), open_mouth, skirt, blue_jacket, character_doll, holding_flag |
| 15 | 6 |  |  |  |  |  | 1girl, bare_shoulders, cleavage, looking_at_viewer, solo, smile, blush, closed_mouth, collarbone, detached_sleeves, hoop_earrings, navel, sarong, water, wet, wide_sleeves, braid, purple_bikini, sitting, thighs |
| 16 | 23 |  |  |  |  |  | 1girl, hat, solo, brown_coat, looking_at_viewer, open_coat, blush, casual, red_headwear, white_shirt, red_skirt, smile, turtleneck, long_sleeves, autumn_leaves, horned_headwear, bag, single_braid, white_sweater, alternate_costume, closed_mouth, leaf, long_skirt, black_belt, holding, open_mouth |
| 17 | 5 |  |  |  |  |  | 1girl, bare_shoulders, black_leotard, highleg_leotard, sleeveless_turtleneck_leotard, solo, blush, covered_navel, looking_at_viewer, sideboob, armpits, arms_up, closed_mouth, collarbone, holding_cup, medium_breasts, off_shoulder, open_clothes, simple_background, smile, tomoe_(symbol), tying_hair |
| 18 | 6 |  |  |  |  |  | 1girl, bare_shoulders, bra, cleavage, lingerie, looking_at_viewer, navel, panties, solo, underwear_only, blush, collarbone, stomach, gradient_background, medium_breasts, thighhighs, bow, cowboy_shot, garter_belt, open_mouth, parted_lips, sidelocks, simple_background, thighs |

### Table Version

| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | detached_sleeves | fingerless_gloves | looking_at_viewer | obi | red_gloves | smile | solo | mitsudomoe_(shape) | white_kimono | simple_background | upper_body | white_background | blush | turtleneck | hakama_pants | hip_vent | short_kimono | blue_hakama | sitting | black_undershirt | katana | sode | holding_sword | sheath | cherry_blossoms | single_detached_sleeve | headband | japanese_clothes | kusazuri | petals | kote | naginata | hair_bow | holding_polearm | red_bow | standing | bare_shoulders | sideboob | gloves | polearm | japanese_armor | sleeveless | closed_mouth | china_dress | white_dress | wide_sleeves | oil-paper_umbrella | holding_umbrella | frilled_sleeves | side_slit | medium_breasts | sleeveless_dress | long_sleeves | off-shoulder_sweater | ribbed_sweater | white_sweater | hair_scrunchie | hamaya | holding_arrow | hair_flower | new_year | collarbone | floral_print | off_shoulder | single_braid | fox_mask | mask_on_head | red_kimono | hair_over_shoulder | indoors | alternate_costume | food | holding | blue_bow | blue_one-piece_swimsuit | highleg_swimsuit | thighs | two-tone_swimsuit | white_one-piece_swimsuit | thigh_strap | blue_sky | day | outdoors | wet | blue_jacket | dual_wielding | energy_sword | open_jacket | short_sleeves | cropped_jacket | multicolored_swimsuit | cloud | ocean | navel | water | cleavage | beach | armpits | white_bikini | side-tie_bikini_bottom | beret | white_gloves | white_shirt | purple_headwear | red_horns | blue_headwear | purple_capelet | red_necktie | shoulder_strap | collared_shirt | open_mouth | skirt | character_doll | holding_flag | hoop_earrings | sarong | braid | purple_bikini | hat | brown_coat | open_coat | casual | red_headwear | red_skirt | autumn_leaves | horned_headwear | bag | leaf | long_skirt | black_belt | black_leotard | highleg_leotard | sleeveless_turtleneck_leotard | covered_navel | arms_up | holding_cup | open_clothes | tomoe_(symbol) | tying_hair | bra | lingerie | panties | underwear_only | stomach | gradient_background | thighhighs | bow | cowboy_shot | garter_belt | parted_lips | sidelocks |
|----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------|:-------------------|:--------------------|:--------------------|:------|:-------------|:--------|:-------|:---------------------|:---------------|:--------------------|:-------------|:-------------------|:--------|:-------------|:---------------|:-----------|:---------------|:--------------|:----------|:-------------------|:---------|:-------|:----------------|:---------|:------------------|:-------------------------|:-----------|:-------------------|:-----------|:---------|:-------|:-----------|:-----------|:------------------|:----------|:-----------|:-----------------|:-----------|:---------|:----------|:-----------------|:-------------|:---------------|:--------------|:--------------|:---------------|:---------------------|:-------------------|:------------------|:------------|:-----------------|:-------------------|:---------------|:-----------------------|:-----------------|:----------------|:-----------------|:---------|:----------------|:--------------|:-----------|:-------------|:---------------|:---------------|:---------------|:-----------|:---------------|:-------------|:---------------------|:----------|:--------------------|:-------|:----------|:-----------|:--------------------------|:-------------------|:---------|:--------------------|:---------------------------|:--------------|:-----------|:------|:-----------|:------|:--------------|:----------------|:---------------|:--------------|:----------------|:-----------------|:------------------------|:--------|:--------|:--------|:--------|:-----------|:--------|:----------|:---------------|:-------------------------|:--------|:---------------|:--------------|:------------------|:------------|:----------------|:-----------------|:--------------|:-----------------|:-----------------|:-------------|:--------|:-----------------|:---------------|:----------------|:---------|:--------|:----------------|:------|:-------------|:------------|:---------|:---------------|:------------|:----------------|:------------------|:------|:-------|:-------------|:-------------|:----------------|:------------------|:--------------------------------|:----------------|:----------|:--------------|:---------------|:-----------------|:-------------|:------|:-----------|:----------|:-----------------|:----------|:----------------------|:-------------|:------|:--------------|:--------------|:--------------|:------------|
| 0 | 6 |  |  |  |  |  | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 1 | 6 |  |  |  |  |  | X | X | | X | X | | X | X | X | X | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 2 | 33 |  |  |  |  |  | X | | X | X | X | X | X | X | X | X | | | | | X | X | X | X | X | | | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 3 | 6 |  |  |  |  |  | X | | X | X | | X | | X | | | | | | | | | | | | | | X | X | X | X | X | | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 4 | 8 |  |  |  |  |  | X | | X | X | | X | | X | X | | | | | | | | | | | | | X | X | X | | X | | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 5 | 12 |  |  |  |  |  | X | | | X | | | X | X | | | | | | | | | | | | | | X | | X | X | | | X | X | X | | X | | X | | X | | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 6 | 6 |  |  |  |  |  | X | X | | X | | | X | X | | | X | X | X | | | | | | | | | | | | | | | X | X | | X | | | X | | X | | X | X | | | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 7 | 47 |  |  |  |  |  | X | X | | X | | | X | X | X | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 8 | 7 |  |  |  |  |  | X | | | X | | | X | X | | | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | X | | | | | X | X | | | | | | | | | | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 9 | 7 |  |  |  |  |  | X | | | X | X | | X | X | | X | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | X | | | | | | | X | | | | | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 10 | 7 |  |  |  |  |  | X | | | X | X | | X | X | | | | | | X | | | | | | X | | | | | | | | | | | | | | | | | | X | | | | | | X | | | X | | | | | | | X | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 11 | 9 |  |  |  |  |  | X | | | X | | | X | X | | | | | | X | | | | | | | | | | | | | | | | | | | | X | | | | X | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 12 | 6 |  |  |  |  |  | X | | | X | | | X | X | | | | | | X | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | | | | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 13 | 12 |  |  |  |  |  | X | | | X | | | X | X | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | X | X | X | X | | | | | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 14 | 9 |  |  |  |  |  | X | | | X | | | X | X | X | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 15 | 6 |  |  |  |  |  | X | X | | X | | | X | X | | | | | | X | | | | | | X | | | | | | | | | | | | | | | | | | X | | | | | | X | | | X | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | X | | | | | | | X | | | | | | | | | | X | X | X | | | | | | | | | | | | | | | | | | | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
| 16 | 23 |  |  |  |  |  | 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 | | | | | | | | | | | | | | | | | | | | | |
| 17 | 5 |  |  |  |  |  | X | | | X | | | X | X | | | X | | | X | | | | | | | | | | | | | | | | | | | | | | | | X | X | | | | | X | | | | | | | | X | | | | | | | | | | | X | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | |
| 18 | 6 |  |  |  |  |  | X | | | X | | | | X | | | X | | | X | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | X | | | | | | | | | | | X | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | X | | X | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X |

原始信息汇总

数据集概述

基本信息

• 名称: tomoe_gozen/巴御前/巴御前 (Fate/Grand Order)
• 内容: 包含500张图像及其标签
• 核心标签: long_hair, red_eyes, hair_between_eyes, breasts, grey_hair, white_hair, ribbon, ponytail, horns, very_long_hair, large_breasts, hair_ribbon, red_ribbon
• 许可证: MIT
• 任务类别: text-to-image
• 标签: art, not-for-all-audiences
• 大小类别: n<1K

数据集包

名称	图像数量	大小	下载链接	类型	描述
raw	500	812.07 MiB	下载	Waifuc-Raw	原始数据，包含元信息（最小边对齐到1400像素如果更大）
1200	500	706.54 MiB	下载	IMG+TXT	数据集，短边不超过1200像素
stage3-p480-1200	1283	1.38 GiB	下载	IMG+TXT	三阶段裁剪数据集，区域不小于480x480像素

数据集加载

• 工具: waifuc

• 加载代码示例: python import os import zipfile from huggingface_hub import hf_hub_download from waifuc.source import LocalSource

  zip_file = hf_hub_download( repo_id=CyberHarem/tomoe_gozen_fgo, repo_type=dataset, filename=dataset-raw.zip, )

  dataset_dir = dataset_dir os.makedirs(dataset_dir, exist_ok=True) with zipfile.ZipFile(zip_file, r) as zf: zf.extractall(dataset_dir)

  source = LocalSource(dataset_dir) for item in source: print(item.image, item.meta[filename], item.meta[tags])

集群列表

• 示例: 提供多个集群的样本图像及其标签，用于进一步分析和挖掘特定服装或场景。

以上信息总结了数据集的基本情况，包括数据集的组成、可用包的详细信息以及如何加载和使用数据集。