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README.md

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 # The MERIT Dataset 🎒📃🏆
 
-The MERIT Dataset is a multimodal dataset (image + text + layout) designed for training and benchmarking Large Language Models (LLMs) on Visually Rich Document Understanding (VrDU) tasks. It is a fully labeled synthetic dataset and you can access the generation pipeline on [GitHub](https://github.com/nachoDRT/MERIT-Dataset).
+The MERIT Dataset is a multimodal dataset (image + text + layout) designed for training and benchmarking Large Language Models (LLMs) on Visually Rich Document Understanding (VrDU) tasks. It is a fully labeled synthetic dataset generated using our opensource pipeline available on [GitHub](https://github.com/nachoDRT/MERIT-Dataset). You can explore more details about the dataset and pipeline reading our [paper](https://arxiv.org/abs/2409.00447).
 
 ## Introduction ℹ️
 AI faces some dynamic and technical issues that push end-users to create and gather their own data. In addition, multimodal LLMs are gaining more and more attention, but datasets to train them might be improved to be more complex, more flexible, and easier to gather/generate.