
# Dataset of nagao_kagetora/長尾景虎/长尾景虎 (Fate/Grand Order)

This is the dataset of nagao_kagetora/長尾景虎/长尾景虎 (Fate/Grand Order), containing 341 images and their tags.

The core tags of this character are `long_hair, multicolored_hair, black_hair, white_hair, two-tone_hair, hair_between_eyes, breasts, bangs, streaked_hair, yellow_eyes, very_long_hair, medium_breasts, green_eyes`, 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              |      341 | 505.20 MiB | [Download](https://huggingface.co/datasets/CyberHarem/nagao_kagetora_fgo/resolve/main/dataset-raw.zip)              | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). |
| 800              |      341 | 272.18 MiB | [Download](https://huggingface.co/datasets/CyberHarem/nagao_kagetora_fgo/resolve/main/dataset-800.zip)              | IMG+TXT    | dataset with the shorter side not exceeding 800 pixels.              |
| stage3-p480-800  |      839 | 581.17 MiB | [Download](https://huggingface.co/datasets/CyberHarem/nagao_kagetora_fgo/resolve/main/dataset-stage3-p480-800.zip)  | IMG+TXT    | 3-stage cropped dataset with the area not less than 480x480 pixels.  |
| 1200             |      341 | 440.57 MiB | [Download](https://huggingface.co/datasets/CyberHarem/nagao_kagetora_fgo/resolve/main/dataset-1200.zip)             | IMG+TXT    | dataset with the shorter side not exceeding 1200 pixels.             |
| stage3-p480-1200 |      839 | 839.60 MiB | [Download](https://huggingface.co/datasets/CyberHarem/nagao_kagetora_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/nagao_kagetora_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 |        65 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | 1girl, solo, looking_at_viewer, smile, spear, japanese_armor, black_gloves, wide_sleeves, black_armor, shoulder_armor, black_thighhighs, holding_polearm, yellow_sash, capelet, partially_fingerless_gloves, open_mouth                                           |
|   1 |         9 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | 1girl, solo, japanese_armor, looking_at_viewer, smile, upper_body, shoulder_armor, closed_mouth, simple_background                                                                                                                                                |
|   2 |         7 | ![](samples/2/clu2-sample0.png) | ![](samples/2/clu2-sample1.png) | ![](samples/2/clu2-sample2.png) | ![](samples/2/clu2-sample3.png) | ![](samples/2/clu2-sample4.png) | 1girl, looking_at_viewer, solo, white_capelet, smile, open_mouth, upper_body, blush                                                                                                                                                                               |
|   3 |        18 | ![](samples/3/clu3-sample0.png) | ![](samples/3/clu3-sample1.png) | ![](samples/3/clu3-sample2.png) | ![](samples/3/clu3-sample3.png) | ![](samples/3/clu3-sample4.png) | 1girl, solo, looking_at_viewer, smile, blush, navel, bare_shoulders, open_mouth, simple_background, large_breasts, black_bikini, white_background, armpits, collarbone, cleavage, criss-cross_halter                                                              |
|   4 |        25 | ![](samples/4/clu4-sample0.png) | ![](samples/4/clu4-sample1.png) | ![](samples/4/clu4-sample2.png) | ![](samples/4/clu4-sample3.png) | ![](samples/4/clu4-sample4.png) | 1girl, crop_top, midriff, navel, bare_shoulders, looking_at_viewer, smile, solo, black_shirt, off_shoulder, white_jacket, white_shorts, open_mouth, short_shorts, sleeveless_shirt, long_sleeves, thighs, blush, simple_background, open_jacket, white_background |
|   5 |         5 | ![](samples/5/clu5-sample0.png) | ![](samples/5/clu5-sample1.png) | ![](samples/5/clu5-sample2.png) | ![](samples/5/clu5-sample3.png) | ![](samples/5/clu5-sample4.png) | 1girl, bathing, nude, partially_submerged, smile, solo, water, blush, collarbone, looking_at_viewer, onsen, open_mouth, sidelocks, steam, wet, large_breasts, navel                                                                                               |

### Table Version

|   # |   Samples | Img-1                           | Img-2                           | Img-3                           | Img-4                           | Img-5                           | 1girl   | solo   | looking_at_viewer   | smile   | spear   | japanese_armor   | black_gloves   | wide_sleeves   | black_armor   | shoulder_armor   | black_thighhighs   | holding_polearm   | yellow_sash   | capelet   | partially_fingerless_gloves   | open_mouth   | upper_body   | closed_mouth   | simple_background   | white_capelet   | blush   | navel   | bare_shoulders   | large_breasts   | black_bikini   | white_background   | armpits   | collarbone   | cleavage   | criss-cross_halter   | crop_top   | midriff   | black_shirt   | off_shoulder   | white_jacket   | white_shorts   | short_shorts   | sleeveless_shirt   | long_sleeves   | thighs   | open_jacket   | bathing   | nude   | partially_submerged   | water   | onsen   | sidelocks   | steam   | wet   |
|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-------|:--------------------|:--------|:--------|:-----------------|:---------------|:---------------|:--------------|:-----------------|:-------------------|:------------------|:--------------|:----------|:------------------------------|:-------------|:-------------|:---------------|:--------------------|:----------------|:--------|:--------|:-----------------|:----------------|:---------------|:-------------------|:----------|:-------------|:-----------|:---------------------|:-----------|:----------|:--------------|:---------------|:---------------|:---------------|:---------------|:-------------------|:---------------|:---------|:--------------|:----------|:-------|:----------------------|:--------|:--------|:------------|:--------|:------|
|   0 |        65 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | X       | X      | X                   | X       | X       | X                | X              | X              | X             | X                | X                  | X                 | X             | X         | X                             | X            |              |                |                     |                 |         |         |                  |                 |                |                    |           |              |            |                      |            |           |               |                |                |                |                |                    |                |          |               |           |        |                       |         |         |             |         |       |
|   1 |         9 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | X       | X      | X                   | X       |         | X                |                |                |               | X                |                    |                   |               |           |                               |              | X            | X              | X                   |                 |         |         |                  |                 |                |                    |           |              |            |                      |            |           |               |                |                |                |                |                    |                |          |               |           |        |                       |         |         |             |         |       |
|   2 |         7 | ![](samples/2/clu2-sample0.png) | ![](samples/2/clu2-sample1.png) | ![](samples/2/clu2-sample2.png) | ![](samples/2/clu2-sample3.png) | ![](samples/2/clu2-sample4.png) | X       | X      | X                   | X       |         |                  |                |                |               |                  |                    |                   |               |           |                               | X            | X            |                |                     | X               | X       |         |                  |                 |                |                    |           |              |            |                      |            |           |               |                |                |                |                |                    |                |          |               |           |        |                       |         |         |             |         |       |
|   3 |        18 | ![](samples/3/clu3-sample0.png) | ![](samples/3/clu3-sample1.png) | ![](samples/3/clu3-sample2.png) | ![](samples/3/clu3-sample3.png) | ![](samples/3/clu3-sample4.png) | X       | X      | X                   | X       |         |                  |                |                |               |                  |                    |                   |               |           |                               | X            |              |                | X                   |                 | X       | X       | X                | X               | X              | X                  | X         | X            | X          | X                    |            |           |               |                |                |                |                |                    |                |          |               |           |        |                       |         |         |             |         |       |
|   4 |        25 | ![](samples/4/clu4-sample0.png) | ![](samples/4/clu4-sample1.png) | ![](samples/4/clu4-sample2.png) | ![](samples/4/clu4-sample3.png) | ![](samples/4/clu4-sample4.png) | X       | X      | X                   | X       |         |                  |                |                |               |                  |                    |                   |               |           |                               | X            |              |                | X                   |                 | X       | X       | X                |                 |                | X                  |           |              |            |                      | X          | X         | X             | X              | X              | X              | X              | X                  | X              | X        | X             |           |        |                       |         |         |             |         |       |
|   5 |         5 | ![](samples/5/clu5-sample0.png) | ![](samples/5/clu5-sample1.png) | ![](samples/5/clu5-sample2.png) | ![](samples/5/clu5-sample3.png) | ![](samples/5/clu5-sample4.png) | X       | X      | X                   | X       |         |                  |                |                |               |                  |                    |                   |               |           |                               | X            |              |                |                     |                 | X       | X       |                  | X               |                |                    |           | X            |            |                      |            |           |               |                |                |                |                |                    |                |          |               | X         | X      | X                     | X       | X       | X           | X       | X     |


task_categories:text-to-image size_categories:n<1K license:mit art not-for-all-audiences region:us
{"license": "mit", "size_categories": ["n<1K"], "task_categories": ["text-to-image"], "tags": ["art", "not-for-all-audiences"]}
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us 

Dataset of nagao\_kagetora/長尾景虎/长尾景虎 (Fate/Grand Order)
=======================================================


This is the dataset of nagao\_kagetora/長尾景虎/长尾景虎 (Fate/Grand Order), containing 341 images and their tags.


The core tags of this character are 'long\_hair, multicolored\_hair, black\_hair, white\_hair, two-tone\_hair, hair\_between\_eyes, breasts, bangs, streaked\_hair, yellow\_eyes, very\_long\_hair, medium\_breasts, green\_eyes', 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(huggingface organization).


List of Packages
----------------



### Load Raw Dataset with Waifuc


We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code


List of Clusters
----------------


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


### Raw Text Version



### Table Version




### Load Raw Dataset with Waifuc


We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code


List of Clusters
----------------


List of tag clustering result, maybe some outfits can be mined here. ### Raw Text Version ### Table Version
TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us 
 ### Load Raw Dataset with Waifuc


We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code


List of Clusters
----------------


List of tag clustering result, maybe some outfits can be mined here. ### Raw Text Version ### Table Version
passage: TAGS
#task_categories-text-to-image #size_categories-n<1K #license-mit #art #not-for-all-audiences #region-us 
### Load Raw Dataset with Waifuc


We provide raw dataset (including tagged images) for waifuc loading. If you need this, just run the following code


List of Clusters
----------------


List of tag clustering result, maybe some outfits can be mined here.### Raw Text Version### Table Version