task_categories:image-classification size_categories:10K<n<100K license:mit art not-for-all-audiences region:us
---
license: mit
task_categories:
- image-classification
tags:
- art
- not-for-all-audiences
size_categories:
- 10K<n<100K
---

Because some American websites (such as civitai) have strict restrictions on the content of potential pedophiles (in fact, the management is quite broad and nonsensical, and any character pictures with younger characters may violate the rules), so we think It is necessary to collect such data and train a classification model to help content creators avoid this potential risk as much as possible.

The dataset contains the following labels:

* `contentious`, corresponding to the [contentious](https://beta.sankakucomplex.com/zh-CN/tag/en?tagName=contentious_content) tag on sankaku, contains pornographic content about loli, shota, etc.
* `safe_teen`, contains non-pornographic content about young children.
* `non_teen`, contains anything that is not a young boy or girl (whether safe, sexy or pornographic)

Please note:
* The above categories of content are for the visual level, and the actual age of the characters is not important (the same is often the case with the moderation rules of the website).
* The above datasets are obtained by crawling and do not guarantee extremely high purity. Therefore, it is recommended to use relevant noisy deep learning algorithms during training.