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@@ -25,6 +25,8 @@ We study how to reduce bias in CLIP-style models by combining:
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  - **Large-scale WebDataset shards** of synthetic / hybrid image–text data.
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  - **Eval tools and benchmarks** for analysing bias and fairness in CLIP-like models.
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  If you use our resources, please consider citing the SynthFairCLIP project.
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  - **Large-scale WebDataset shards** of synthetic / hybrid image–text data.
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  - **Eval tools and benchmarks** for analysing bias and fairness in CLIP-like models.
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+ [![GitHub – evaluation tools](https://img.shields.io/badge/GitHub-Evaluation%20Tools-black?logo=github)](https://github.com/lluisgomez/SynthFairCLIP/tree/main/evals)
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  If you use our resources, please consider citing the SynthFairCLIP project.
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