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  license: cc-by-4.0
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  ---
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  # UAL Bench Datasets
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- We introduce UAL-Bench, a comprehensive benchmark for unusual activity localization, featuring three video datasets: UAG-OOPS, UAG-SSBD, UAG-FunQA, and an instruction-tune dataset: OOPS-UAG-Instruct,
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- [git_repo](https://github.com/Hasnat79/UAL_Bench)
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  ## Usage
 
 
 
 
 
 
 
 
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  license: cc-by-4.0
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  ---
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  # UAL Bench Datasets
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+ [![arXiv](https://img.shields.io/badge/arXiv-2312.14494-b31b1b.svg)](https://arxiv.org/abs/2410.01180)
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+ We introduce UAL-Bench, a comprehensive benchmark for unusual activity localization, featuring three video datasets: UAG-OOPS, UAG-SSBD, UAG-FunQA, and an instruction-tune dataset: OOPS-UAG-Instruct.
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  ## Usage
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+ - Go to Files and versions
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+ - download the tar file
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+ - untar the file. For example:
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+ ```bash
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+ tar -xvf uag_oops.tar
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+ ```
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+ - Follow the [project repository](https://github.com/Hasnat79/UAL_Bench) for more details including loading the data in your project, implementing VLM-LLM approach etc.