Create README.md
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README.md
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---
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configs:
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- config_name: default
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data_files:
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- split: train
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path: train.csv
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- split: test
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path: test.csv
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tags:
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- not-for-all-audiences
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extra_gated_prompt: By filling out the form below I understand that LlavaGuard is a derivative model based on webscraped images and the SMID dataset that use individual licenses and their respective terms and conditions apply. I understand that all content uses are subject to the terms of use. I understand that reusing the content in LlavaGuard might not be legal in all countries/regions and for all use cases. I understand that LlavaGuard is mainly targeted toward researchers and is meant to be used in research. LlavaGuard authors reserve the right to revoke my access to this data. They reserve the right to modify this data at any time in accordance with take-down requests.
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extra_gated_fields:
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Name: text
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Email: text
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Affiliation: text
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Country: text
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I have explicitly checked that downloading LlavaGuard is legal in my jurisdiction, in the country/region where I am located right now, and for the use case that I have described above, I have also read and accepted the relevant Terms of Use: checkbox
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---
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WARNING: This repository contains content that might be disturbing! Therefore, we set the `Not-For-All-Audiences` tag.
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This is the LlavaGuard model introduced in [LLAVAGUARD: VLM-based Safeguards for Vision Dataset Curation and Safety Assessment](https://ml-research.github.io/papers/helff2024llavaguard.pdf).
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## Use
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## Citation
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Please cite and share our work if you use it or find it useful. The first three authors contributed equally.
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```bibtex
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@incollection{helff2024llavaguard,
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author = { Lukas Helff and Felix Friedrich and Manuel Brack and Patrick Schramowski and Kristian Kersting },
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title = { LLAVAGUARD: VLM-based Safeguard for Vision Dataset Curation and Safety Assessment },
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booktitle = { Working Notes of the CVPR 2024 Workshop on Responsible Generative AI (ReGenAI) },
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year = { 2024 },
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}
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```
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