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README.md
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| 1 |
+
---
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| 2 |
+
license: other
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| 3 |
+
language:
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| 4 |
+
- en
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| 5 |
+
tags:
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| 6 |
+
- danbooru
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| 7 |
+
- anime
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| 8 |
+
- bucket
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| 9 |
+
pretty_name: Danbooru 2024 Dataset
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| 10 |
+
size_categories:
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| 11 |
+
- 1M<n<10M
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| 12 |
+
---
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| 13 |
+
# Danbooru 1024 Dataset
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| 14 |
+
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| 15 |
+
# Danbooru 1024 数据集
|
| 16 |
+
|
| 17 |
+
A curated collection of high-quality images from Danbooru website, processed and resized to specific bucket dimensions. This dataset is for research and learning purposes only.
|
| 18 |
+
这是一个精选的高质量 Danbooru 网站图像集合,经过处理并调整为特定的桶尺寸。该数据集仅用于研究和学习目的。
|
| 19 |
+
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| 20 |
+
## Dataset Description
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| 21 |
+
|
| 22 |
+
## 数据集描述
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| 23 |
+
|
| 24 |
+
This dataset contains processed image resources from Danbooru website, starting from ID 3,000,000. All images are resized to specific bucket dimensions and meet minimum resolution requirements.
|
| 25 |
+
本数据集包含来自 Danbooru 网站的处理后图像资源,从 ID 3,000,000 开始。所有图像都调整为特定的桶尺寸,并满足最小分辨率要求。
|
| 26 |
+
|
| 27 |
+
### Data Organization
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| 28 |
+
|
| 29 |
+
### 数据组织
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| 30 |
+
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| 31 |
+
- Images are packaged into compressed files, 1000 images per archive
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| 32 |
+
- File naming format: `{start_id}.tar`
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| 33 |
+
- Example: `3000.tar` contains images with IDs from 3,000,000 to 3,000,999
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| 34 |
+
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| 35 |
+
- 图像打包为压缩文件,每个存档包含 1000 张图像
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| 36 |
+
- 文件命名格式:`{start_id}.tar`
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| 37 |
+
- 示例:`3000.tar` 包含 ID 从 3,000,000 到 3,000,999 的图像
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| 38 |
+
|
| 39 |
+
### Technical Details
|
| 40 |
+
|
| 41 |
+
### 技术细节
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| 42 |
+
|
| 43 |
+
- Image Format: WebP (lossless) for >1MB files, JPG (quality 92) for others
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| 44 |
+
- Resolution: Minimum area of 1024²×0.95 pixels
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| 45 |
+
- ID Range: >3,000,000
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| 46 |
+
- Bucket Dimensions (width, height):
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| 47 |
+
- (512, 2048)
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| 48 |
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- (576, 1792)
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| 49 |
+
- (640, 1664)
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| 50 |
+
- (704, 1472)
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| 51 |
+
- (768, 1344)
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| 52 |
+
- (832, 1280)
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| 53 |
+
- (896, 1152)
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| 54 |
+
- (960, 1088)
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| 55 |
+
- (1024, 1024)
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| 56 |
+
- (1088, 960)
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| 57 |
+
- (1152, 896)
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| 58 |
+
- (1280, 832)
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| 59 |
+
- (1344, 768)
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| 60 |
+
- (1472, 704)
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| 61 |
+
- (1664, 640)
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| 62 |
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- (1792, 576)
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| 63 |
+
- (2048, 512)
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| 64 |
+
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| 65 |
+
- 图像格式:>1MB 文件使用无损 WebP,其他使用质量 92 的 JPG
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| 66 |
+
- 分辨率:最小面积为 1024²×0.95 像素
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| 67 |
+
- ID 范围:>3,000,000
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| 68 |
+
- 桶尺寸(宽,高):
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| 69 |
+
- (512, 2048)
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| 70 |
+
- (576, 1792)
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| 71 |
+
- (640, 1664)
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| 72 |
+
- (704, 1472)
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| 73 |
+
- (768, 1344)
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| 74 |
+
- (832, 1280)
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| 75 |
+
- (896, 1152)
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| 76 |
+
- (960, 1088)
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| 77 |
+
- (1024, 1024)
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| 78 |
+
- (1088, 960)
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| 79 |
+
- (1152, 896)
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| 80 |
+
- (1280, 832)
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| 81 |
+
- (1344, 768)
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| 82 |
+
- (1472, 704)
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| 83 |
+
- (1664, 640)
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| 84 |
+
- (1792, 576)
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| 85 |
+
- (2048, 512)
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| 86 |
+
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| 87 |
+
### Image Processing Details
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| 88 |
+
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| 89 |
+
### 图像处理细节
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| 90 |
+
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| 91 |
+
- All images are resized to the nearest bucket dimensions
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| 92 |
+
- Images with area smaller than 1024²×0.95 pixels are excluded
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| 93 |
+
- Files >1MB are stored as lossless WebP for optimal quality
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| 94 |
+
- Other files are stored as JPG (quality 92) for better color reproduction compared to WebP quality 90
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| 95 |
+
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| 96 |
+
- 所有图像都调整为最接近的桶尺寸
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| 97 |
+
- 面积小于 1024²×0.95 像素的图像被排除
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| 98 |
+
- 大于 1MB 的文件以无损 WebP 格式存储以保证最佳质量
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| 99 |
+
- 其他文件以 JPG 格式(质量 92)存储,相比 WebP 质量 90 具有更好的色彩还原度
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| 100 |
+
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| 101 |
+
## Usage Instructions
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| 102 |
+
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| 103 |
+
## 使用说明
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| 104 |
+
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| 105 |
+
1. Images within each archive are named by their IDs
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| 106 |
+
2. Metadata can be queried from Danbooru database using corresponding IDs
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| 107 |
+
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| 108 |
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1. 存档中的图像以其 ID 命名
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| 109 |
+
2. 可使用相应的 ID 从 Danbooru 数据库查询元数据
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| 110 |
+
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| 111 |
+
## License
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| 112 |
+
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| 113 |
+
## 许可证
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| 114 |
+
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| 115 |
+
This dataset is released under the following terms:
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| 116 |
+
本数据集在以下条款下发布:
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| 117 |
+
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| 118 |
+
1. Academic and Research Use
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| 119 |
+
学术和研究使用
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| 120 |
+
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| 121 |
+
- This dataset may only be used for academic research, learning, and non-commercial purposes
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| 122 |
+
- 本数据集仅可用于学术研究、学习和非商业目的
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| 123 |
+
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| 124 |
+
2. Restrictions
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| 125 |
+
限制条款
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| 126 |
+
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| 127 |
+
- Commercial use is strictly prohibited
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| 128 |
+
- Redistribution or resale of the dataset is not permitted
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| 129 |
+
- Any derivative works must be shared under the same terms
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| 130 |
+
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| 131 |
+
- 严格禁止商业使用
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| 132 |
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- 不允许重新分发或转售数据集
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| 133 |
+
- 任何衍生作品必须在相同条款下共享
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| 134 |
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| 135 |
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3. Attribution
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| 136 |
+
署名要求
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| 137 |
+
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| 138 |
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- Users must cite this dataset when used in research or publications
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| 139 |
+
- Any derivative works must acknowledge the original source
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| 140 |
+
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| 141 |
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- 在研究或出版物中使用时必须引用本数据集
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| 142 |
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- 任何衍生作品必须注明原始来源
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| 143 |
+
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| 144 |
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4. Disclaimer
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| 145 |
+
免责声明
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| 146 |
+
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| 147 |
+
- The dataset is provided "as is" without any warranty
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| 148 |
+
- The creators are not liable for any damages or losses arising from its use
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| 149 |
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- Users are solely responsible for ensuring compliance with local laws and regulations
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| 150 |
+
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| 151 |
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- 数据集按"原样"提供,不提供任何保证
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| 152 |
+
- 创建者不对使用过程中产生的任何损害或损失负责
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| 153 |
+
- 用户需自行负责确保符合当地法律法规
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| 154 |
+
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| 155 |
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5. Termination
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| 156 |
+
终止条款
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| 157 |
+
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| 158 |
+
- This license automatically terminates if you violate any of these terms
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| 159 |
+
- Upon termination, you must cease all use of the dataset
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| 160 |
+
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| 161 |
+
- 如果违反任何这些条款,本许可证将自动终止
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| 162 |
+
- 终止后,您必须停止使用本数据集
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| 163 |
+
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| 164 |
+
By using this dataset, you agree to be bound by these terms.
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| 165 |
+
使用本数据集即表示您同意受这些条款的约束。
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| 166 |
+
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| 167 |
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## Important Notes
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| 168 |
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| 169 |
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## 重要提示
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| 170 |
+
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| 171 |
+
- Ensure legal compliance when using the dataset
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| 172 |
+
- Review relevant data usage policies and guidelines before use
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| 173 |
+
- Consult legal professionals if you have questions about usage rights
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| 174 |
+
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| 175 |
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- 使用数据集时确保遵守法律
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| 176 |
+
- 使用前请查看相关数据使用政策和指南
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| 177 |
+
- 如对使用权有疑问,请咨询法律专业人士
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| 178 |
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| 179 |
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### Contributions
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| 180 |
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| 181 |
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### 贡献
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| 182 |
+
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| 183 |
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Thanks to the Danbooru community for maintaining the source database that made this dataset possible.
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| 184 |
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| 185 |
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感谢 Danbooru 社区维护使本数据集成为可能的源数据库。
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| 186 |
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| 187 |
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---
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| 188 |
+
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| 189 |
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**Notice:** Users must strictly comply with local laws and regulations when using this dataset. Users bear full responsibility for any issues arising from improper use.
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| 190 |
+
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| 191 |
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**注意:** 用户在使用本数据集时必须严格遵守当地法律法规。用户对因不当使用而产生的任何问题承担全部责任。
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