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--- |
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license: mit |
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task_categories: |
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- text-to-image |
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tags: |
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- art |
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- not-for-all-audiences |
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size_categories: |
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- n<1K |
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--- |
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# Dataset of Lakhesh Nyx Seniorious/ラキシュ・ニクス・セニオリス (Shuumatsu Nani Shitemasu Ka? Isogashii Desu Ka?) |
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This is the dataset of Lakhesh Nyx Seniorious/ラキシュ・ニクス・セニオリス (Shuumatsu Nani Shitemasu Ka? Isogashii Desu Ka?), containing 69 images and their tags. |
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The core tags of this character are `short_hair, brown_eyes, blonde_hair, side_ponytail, hair_ribbon, ribbon`, which are pruned in this dataset. |
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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)). |
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## List of Packages |
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| Name | Images | Size | Download | Type | Description | |
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|:-----------------|---------:|:----------|:------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------| |
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| raw | 69 | 32.30 MiB | [Download](https://huggingface.co/datasets/CyberHarem/lakhesh_sukasuka/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | |
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| 1200 | 69 | 32.28 MiB | [Download](https://huggingface.co/datasets/CyberHarem/lakhesh_sukasuka/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | |
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| stage3-p480-1200 | 117 | 54.40 MiB | [Download](https://huggingface.co/datasets/CyberHarem/lakhesh_sukasuka/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | |
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### Load Raw Dataset with Waifuc |
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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 |
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```python |
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import os |
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import zipfile |
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from huggingface_hub import hf_hub_download |
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from waifuc.source import LocalSource |
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# download raw archive file |
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zip_file = hf_hub_download( |
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repo_id='CyberHarem/lakhesh_sukasuka', |
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repo_type='dataset', |
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filename='dataset-raw.zip', |
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) |
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# extract files to your directory |
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dataset_dir = 'dataset_dir' |
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os.makedirs(dataset_dir, exist_ok=True) |
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with zipfile.ZipFile(zip_file, 'r') as zf: |
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zf.extractall(dataset_dir) |
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# load the dataset with waifuc |
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source = LocalSource(dataset_dir) |
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for item in source: |
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print(item.image, item.meta['filename'], item.meta['tags']) |
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``` |
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## List of Clusters |
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List of tag clustering result, maybe some outfits can be mined here. |
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### Raw Text Version |
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| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags | |
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|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------| |
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| 0 | 14 |  |  |  |  |  | 2girls, brown_hair, pink_hair, long_hair, one_side_up, open_mouth | |
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| 1 | 8 |  |  |  |  |  | 1girl, closed_mouth, long_sleeves, solo, turtleneck, upper_body, blush, profile, shirt, dress, from_side, indoors, blurry_background | |
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| 2 | 8 |  |  |  |  |  | 1girl, brown_dress, holding_bag, long_sleeves, pinafore_dress, shirt, standing, open_mouth, solo, :o, turtleneck, door, blurry_background, one_side_up, v_arms | |
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### Table Version |
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| # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 2girls | brown_hair | pink_hair | long_hair | one_side_up | open_mouth | 1girl | closed_mouth | long_sleeves | solo | turtleneck | upper_body | blush | profile | shirt | dress | from_side | indoors | blurry_background | brown_dress | holding_bag | pinafore_dress | standing | :o | door | v_arms | |
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|----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:---------|:-------------|:------------|:------------|:--------------|:-------------|:--------|:---------------|:---------------|:-------|:-------------|:-------------|:--------|:----------|:--------|:--------|:------------|:----------|:--------------------|:--------------|:--------------|:-----------------|:-----------|:-----|:-------|:---------| |
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| 0 | 14 |  |  |  |  |  | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | |
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| 1 | 8 |  |  |  |  |  | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | |
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| 2 | 8 |  |  |  |  |  | | | | | X | X | X | | X | X | X | | | | X | | | | X | X | X | X | X | X | X | X | |
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