TikHarm Dataset
TikHarm Dataset
Datasets
TikHarm Dataset
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TikHarm Dataset
Use Case
TikHarm Dataset
Description
Explore the TikHarm dataset, designed to train models for classifying harmful content on TikTok. This curated collection focuses on videos accessible to children, categorized into harmful content, adult content, safe content, and suicide-related material
Description:
The TikHarm dataset is a curated collection of TikTok videos aimed at training models to identify harmful content, specifically focusing on material accessible to children. The dataset is formatted similarly to UCF101 and includes videos categorized into four distinct types: harmful content, adult content, safe content, and suicide-related content.
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Videos were gathered from TikTok with a focus on content that children might encounter. Each video was manually labeled to reflect its category, ensuring that harmful behaviors, inappropriate material, and safe content are clearly identified. This enables the development of models that can accurately classify and filter potentially harmful material for child-friendly environments.
This dataset is sourced from Kaggle.
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