scilons/SciLaD-all-markdown-v1

SciLaD (Markdown)

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.

Dataset Details

In this repository we share the full, multilanguage JSON version of the dataset. The transformation was performed from the TEI-XML using grobid-client-python. It was processed with Grobid 0.8.1. We plan to release updates at each new Grobid release.

Dataset Sources

• Repository: https://github.com/scilons
• Paper: https://arxiv.org/abs/2512.11192

Citation

BibTeX:

@misc{foppiano2025sciladlargescaletransparentreproducible,
      title={SciLaD: A Large-Scale, Transparent, Reproducible Dataset for Natural Scientific Language Processing}, 
      author={Luca Foppiano and Sotaro Takeshita and Pedro Ortiz Suarez and Ekaterina Borisova and Raia Abu Ahmad and Malte Ostendorff and Fabio Barth and Julian Moreno-Schneider and Georg Rehm},
      year={2025},
      eprint={2512.11192},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2512.11192}, 
}