scilons/SciLaD-all-text-v1

Dataset Card for SciLaD

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 version after preprocessing. It was processed with Grobid 0.8.1 and then streamed out as text. 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

The paper has been accepted at LREC 2026, the citation will be updated with the Camera ready version as soon as possible.

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}, 
}