zerochan-webp-4Mpixel

# Zerochan Newest 4M Re-encoded Dataset

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

There are 4105718 images in total. The maximum ID of these images is 4588400. Last updated at `2025-09-21 11:08:08 JST`.

# 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 ZerochanWebpDataPool

pool = ZerochanWebpDataPool()
pool.batch_download_to_directory(
# download images #3000000-3000100, any ranges or id lists are okay
resource_ids=range(3000000, 3000100),

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

# Zerochan最新400万条重编码数据集

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

本数据集共计包含4105718张图像，其最大图像ID为4588400，最后更新时间为`2025-09-21 11:08:08 日本标准时间（JST）`。

# 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，您需要**先申请本受限仓库的访问权限**，并将个人HuggingFace令牌（Token）配置至`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 ZerochanWebpDataPool

pool = ZerochanWebpDataPool()
pool.batch_download_to_directory(
# 下载ID范围3000000至3000100的图像，支持任意ID范围或ID列表
resource_ids=range(3000000, 3000100),

# 将图像保存至目录 /data/zerochan_webp
dst_dir='/data/zerochan_webp',
)