SciLaD is a novel, large-scale dataset of scientific language constructed entirely using open-source frameworks and publicly available data sources. It comprises a curated English split containing over 10 million scientific publications and a multilingual, unfiltered TEI XML split including more than 35 million publications. We also publish the extensible pipeline for generating SciLaD.
In this repository we share the full version… See the full description on the dataset page:
https://huggingface.co/datasets/scilons/SciLaD-all-text-v1.