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---
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license: mit
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datasets:
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- anyangsong/Blockchain-Sensitive-Detect-Data
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language:
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- zh
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- en
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metrics:
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- accuracy
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- f1
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- precision
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- recall
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---
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# Blockchain-Sensitive-Detect-Checkpoints
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[δΈζζζ‘£](README.md)
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Checkpoints for the model used in the Blockchain Sensitive Information Detection project at Children's Hospital of Fudan University.
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Repository: https://github.com/anyangsong/Blockchain-Sensitive-Detect
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Dataset: https://huggingface.co/datasets/anyangsong/Blockchain-Sensitive-Detect-Data
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Checkpoints: https://huggingface.co/anyangsong/Blockchain-Sensitive-Detect-Checkpoints
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## Directory Structure
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```
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.
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βββ machine_video_detectors/
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β βββ checkpoints/
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βββ sensitive_image_detector/
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β βββ weights/
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βββ video_violent_detector/
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βββ ckpt/
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βββ data/
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βββ FlowTest/
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βββ RGBTest/
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βββ vggish-features/
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```
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## Instructions
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This repository open-sources the model checkpoints used for detecting sensitive videos, unknown sensitive images, and machine-generated videos in the project.
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The sensitive text, image, and audio detection components of this project mainly rely on prompt engineering and complex reasoning. They previously used Qwen2.5-VL-7B-Instruct and Qwen2-Audio-7B-Instruct, respectively.
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You can directly use the original parameters of these two large language models, or fine-tune them using standard RL/agentic RL frameworks.
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1. Move the `Qwen2.5-VL-7B-Instruct` and `Qwen2-Audio-7B-Instruct` weight directories to `/remote-home/sensitive-detect/checkpoints/`.
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2. Move the `video_violent_detector` directory to `/remote-home/sensitive-detect/detectors/video_violent_detector/data/`.
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3. Move the `sensitive_image_detector` directory to `/remote-home/sensitive-detect/detectors/sensitive_image_detector/weights/`.
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4. Move the `machine_video_detector` directory to `/remote-home/sensitive-detect/detectors/machine_video_detector/checkpoints/`.
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## Citation
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If you find this project and its dataset useful for your research and applications, please cite using the Bibtex:
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```
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@misc{anyang_song_2026,
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author = { Anyang Song and Changkai Ji and Hao Fang and Yufeng Liu and Yang Li and Junjie He and Ying Cheng and Ruiwei Zhao and Yuejie Zhang and Rui Feng },
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title = { Blockchain-Sensitive-Detect },
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year = 2026,
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url = { https://huggingface.co/datasets/anyangsong/Blockchain-Sensitive-Detect-Data },
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doi = { 10.57967/hf/10293 },
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publisher = { Hugging Face }
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}
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```
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