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danbooru_1024

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Size:
1M<n<10M
Tags:
danbooru
anime
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The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 298, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 80, in _split_generators
                  raise ValueError(
              ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 352, in get_dataset_split_names
                  info = get_dataset_config_info(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 303, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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Danbooru 1024 Dataset

Danbooru 1024 数据集

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. 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。

Dataset Description

数据集描述

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. 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。

Data Organization

数据组织

  • Images are packaged into compressed files, 1000 images per archive

  • File naming format: {start_id}.tar

  • Example: 3000.tar contains images with IDs from 3,000,000 to 3,000,999

  • 图像打包为压缩文件，每个存档包含 1000 张图像

  • 文件命名格式：{start_id}.tar

  • 示例：3000.tar 包含 ID 从 3,000,000 到 3,000,999 的图像

Technical Details

技术细节

  • Image Format: WebP (lossless) for >1MB files, JPG (quality 92) for others

  • Resolution: Minimum area of 1024²×0.95 pixels

  • ID Range: >3,000,000

  • Bucket Dimensions (width, height):

    • (512, 2048)
    • (576, 1792)
    • (640, 1664)
    • (704, 1472)
    • (768, 1344)
    • (832, 1280)
    • (896, 1152)
    • (960, 1088)
    • (1024, 1024)
    • (1088, 960)
    • (1152, 896)
    • (1280, 832)
    • (1344, 768)
    • (1472, 704)
    • (1664, 640)
    • (1792, 576)
    • (2048, 512)

  • 图像格式：>1MB 文件使用无损 WebP，其他使用质量 92 的 JPG

  • 分辨率：最小面积为 1024²×0.95 像素

  • ID 范围：>3,000,000

  • 桶尺寸（宽，高）：

    • (512, 2048)
    • (576, 1792)
    • (640, 1664)
    • (704, 1472)
    • (768, 1344)
    • (832, 1280)
    • (896, 1152)
    • (960, 1088)
    • (1024, 1024)
    • (1088, 960)
    • (1152, 896)
    • (1280, 832)
    • (1344, 768)
    • (1472, 704)
    • (1664, 640)
    • (1792, 576)
    • (2048, 512)

Image Processing Details

图像处理细节

  • All images are resized to the nearest bucket dimensions

  • Images with area smaller than 1024²×0.95 pixels are excluded

  • Files >1MB are stored as lossless WebP for optimal quality

  • Other files are stored as JPG (quality 92) for better color reproduction compared to WebP quality 90

  • 所有图像都调整为最接近的桶尺寸

  • 面积小于 1024²×0.95 像素的图像被排除

  • 大于 1MB 的文件以无损 WebP 格式存储以保证最佳质量

  • 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

Usage Instructions

使用说明

  1. Images within each archive are named by their IDs

  2. Metadata can be queried from Danbooru database using corresponding IDs

  3. 存档中的图像以其 ID 命名

  4. 可使用相应的 ID 从 Danbooru 数据库查询元数据

License

许可证

This dataset is released under the following terms: 本数据集在以下条款下发布：

  1. Academic and Research Use 学术和研究使用

    • This dataset may only be used for academic research, learning, and non-commercial purposes
    • 本数据集仅可用于学术研究、学习和非商业目的

  2. Restrictions 限制条款

    • Commercial use is strictly prohibited

    • Redistribution or resale of the dataset is not permitted

    • Any derivative works must be shared under the same terms

    • 严格禁止商业使用

    • 不允许重新分发或转售数据集

    • 任何衍生作品必须在相同条款下共享

  3. Attribution 署名要求

    • Users must cite this dataset when used in research or publications

    • Any derivative works must acknowledge the original source

    • 在研究或出版物中使用时必须引用本数据集

    • 任何衍生作品必须注明原始来源

  4. Disclaimer 免责声明

    • The dataset is provided "as is" without any warranty

    • The creators are not liable for any damages or losses arising from its use

    • Users are solely responsible for ensuring compliance with local laws and regulations

    • 数据集按"原样"提供，不提供任何保证

    • 创建者不对使用过程中产生的任何损害或损失负责

    • 用户需自行负责确保符合当地法律法规

  5. Termination 终止条款

    • This license automatically terminates if you violate any of these terms

    • Upon termination, you must cease all use of the dataset

    • 如果违反任何这些条款，本许可证将自动终止

    • 终止后，您必须停止使用本数据集

By using this dataset, you agree to be bound by these terms. 使用本数据集即表示您同意受这些条款的约束。

Important Notes

重要提示

  • Ensure legal compliance when using the dataset

  • Review relevant data usage policies and guidelines before use

  • Consult legal professionals if you have questions about usage rights

  • 使用数据集时确保遵守法律

  • 使用前请查看相关数据使用政策和指南

  • 如对使用权有疑问，请咨询法律专业人士

Contributions

贡献

Thanks to the Danbooru community for maintaining the source database that made this dataset possible.

感谢 Danbooru 社区维护使本数据集成为可能的源数据库。

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.

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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