Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

A toolbox of OCR models, algorithms, and pipelines based on MindSpore

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. This repository is actively maintained, and new features are continuously being added.