de-Rodrigo/merit
The MERIT Dataset ๐๐๐ 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. You can explore more details about the dataset and pipeline reading our paper. Introduction โน๏ธ AI faces some dynamic and technical issues that pushโฆ See the full description on the dataset page: https://huggingface.co/datasets/de-Rodrigo/merit.
| Author / organization | de-Rodrigo |
|---|---|
| License (as declared) | mit |
| Downloads | 5.7K (as reported by Hugging Face) |
| Likes | 6 |
| Created | 16 July 2024 |
| Last updated at source | 9 January 2026 |
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