---
title: cc12m-a_woman
canonical_url: "https://www.modelscope.cn/datasets/AI-ModelScope/cc12m-a_woman"
md_url: "https://www.modelscope.cn/datasets/AI-ModelScope/cc12m-a_woman.md"
repository: AI-ModelScope/cc12m-a_woman
last_updated: 2024-12-06
license: "Apache License 2.0"
storage_size: "3.4 MB"
downloads: 1598
stars: 0
---

# cc12m-a_woman

> cc12m-a_woman - AI-ModelScope 在 ModelScope 开源的数据集。Description This dataset is a convenience subset of https://huggingface.co/datasets/opendiffusionai/cc12m-cleaned/

AI-ModelScope/cc12m-a_woman 是 ModelScope 魔搭社区上的数据集，存储大小 3.4 MB，采用 Apache License 2.0 许可。

- **Repository**: AI-ModelScope/cc12m-a_woman
- **License**: Apache License 2.0
- **Storage size**: 3.4 MB
- **Downloads**: 1598
- **Stars**: 0
- **Last updated**: 2024-12-06

Source: https://www.modelscope.cn/datasets/AI-ModelScope/cc12m-a_woman

---

# Description
This dataset is a convenience subset of https://huggingface.co/datasets/opendiffusionai/cc12m-cleaned/

I did a quick grep for "A woman", and then HAND-CURATED the results.
That means I threw out anything with watermarks, site branding, or pretty much anything else I deemed would
get in the way of ML training.
I also only chose images that had clear, sharp camera focus on the main subject. So these are high-quality images.

At present, I have only done a few thousand.
I hope to work my way up to 100,000 images

To acquire the images, download both the ".gz" file, and the "crawl.sh" file.
Then, after having installed the img2dataset utility, with "pip install img2dataset"
you can run the crawl.sh script
You probably want to edit the script to fit your needs though.

## See also
For those people who might prefer the information in parquet format for some reason: There is an interesting huggingface hack.
It auto-compiles a parquet file with the data. See

https://huggingface.co/datasets/opendiffusionai/cc12m-a_woman/tree/refs%2Fconvert%2Fparquet/default/train