GitHub / nachoDRT / MERIT-Dataset
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.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nachoDRT%2FMERIT-Dataset
PURL: pkg:github/nachoDRT/MERIT-Dataset
Stars: 10
Forks: 1
Open issues: 0
License: mit
Language: Python
Size: 603 MB
Dependencies parsed at: Pending
Created at: almost 2 years ago
Updated at: 10 days ago
Pushed at: 10 days ago
Last synced at: 10 days ago
Topics: biases, donut, idefics2, layoutlm, layoutlmv2, layoutlmv3, layoutxlm, llms-benchmarking, synthetic-dataset, synthetic-dataset-generation, token-classification