yande-webp-4Mpixel

# Yande Newest 4M Re-encoded Dataset

This is the re-encoded dataset of [deepghs/yande_full](https://huggingface.co/datasets/deepghs/yande_full). And all the resized images are maintained here.

There are 1083589 images in total. The maximum ID of these images is 1194250. Last updated at `2024-10-01 10:05:00 UTC`.

# How to Painlessly Use This

Use [cheesechaser](https://github.com/deepghs/cheesechaser) to quickly get images from this repository.

Before using this code, you have to **grant the access from this gated repository**. And then **set your personal HuggingFace token into `HF_TOKEN` environment variable** to give the code authorization for this repository.

```python
from cheesechaser.datapool import YandeWebpDataPool

pool = YandeWebpDataPool()
pool.batch_download_to_directory(
# download images #900000-900100, any ranges or id lists are okay
resource_ids=range(900000, 900100),

# save to directory /data/yande_webp
dst_dir='/data/yande_webp',
)
```

# Yande最新4M重编码数据集

本数据集为[deepghs/yande_full](https://huggingface.co/datasets/deepghs/yande_full)的重编码版本，所有经过尺寸调整的图像均存储于此。

本数据集总计包含1083589张图像，图像的最大ID为1194250，最后更新时间为UTC时间2024年10月1日10:05:00。

# 轻松使用指南

可通过[cheesechaser](https://github.com/deepghs/cheesechaser)快速从本仓库获取图像。

在运行下述代码前，你需要先**申请本受访问控制仓库（gated repository）的访问权限**，并将个人的Hugging Face令牌配置到`HF_TOKEN`环境变量中，以授予代码访问本仓库的权限。

python
from cheesechaser.datapool import YandeWebpDataPool

pool = YandeWebpDataPool()
pool.batch_download_to_directory(
# 下载ID范围为900000至900100的图像，你也可以使用任意ID范围或ID列表
resource_ids=range(900000, 900100),

# 保存至目录`/data/yande_webp`
dst_dir='/data/yande_webp',
)