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de-Rodrigo 
posted an update 1 day ago
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MERIT Dataset 🎒📃🏆 Updates: The Token Classification Version is Now Live on the Hub!

This new version extends the previous dataset by providing richer labels that include word bounding boxes alongside the already available images. 🚀

We can't wait to see how you use this update! Give it a try, and let us know your thoughts, questions, or any cool projects you build with it. 💡

Resources:

- Dataset: de-Rodrigo/merit
- Code and generation pipeline: https://github.com/nachoDRT/MERIT-Dataset
- Paper: The MERIT Dataset: Modelling and Efficiently Rendering Interpretable Transcripts (2409.00447)
de-Rodrigo 
posted an update 5 months ago
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A few weeks ago, we uploaded the MERIT Dataset 🎒📃🏆 into Hugging Face 🤗!

Now, we are excited to share the Merit Dataset paper via arXiv! 📃💫
The MERIT Dataset: Modelling and Efficiently Rendering Interpretable Transcripts (2409.00447)

The MERIT Dataset is a fully synthetic, labeled dataset created for training and benchmarking LLMs on Visually Rich Document Understanding tasks. It is also designed to help detect biases and improve interpretability in LLMs, where we are actively working. 🔧🔨

MERIT contains synthetically rendered students' transcripts of records from different schools in English and Spanish. We plan to expand the dataset into different contexts (synth medical/insurance documents, synth IDS, etc.) Want to collaborate? Do you have any feedback? 🧐

Resources:

- Dataset: de-Rodrigo/merit
- Code and generation pipeline: https://github.com/nachoDRT/MERIT-Dataset

PD: We are grateful to Hugging Face 🤗 for providing the fantastic tools and resources we find in the platform and, more specifically, to @nielsr for sharing the fine-tuning/inference scripts we have used in our benchmark.