STEREO: Scientific Text Reuse in Open Access Publications
This dataset addresses shortcomings in existing resources for studying text reuse in scientific writing, benefiting researchers in fields like computational linguistics and bibliometrics.
The authors tackled the problem of quantifying and analyzing text reuse in scientific publications by creating the Webis-STEREO-21 dataset, which contains over 91 million cases of reused text passages from 4.2 million open-access publications, providing a comprehensive resource for research.
We present the Webis-STEREO-21 dataset, a massive collection of Scientific Text Reuse in Open-access publications. It contains more than 91 million cases of reused text passages found in 4.2 million unique open-access publications. Featuring a high coverage of scientific disciplines and varieties of reuse, as well as comprehensive metadata to contextualize each case, our dataset addresses the most salient shortcomings of previous ones on scientific writing. Webis-STEREO-21 allows for tackling a wide range of research questions from different scientific backgrounds, facilitating both qualitative and quantitative analysis of the phenomenon as well as a first-time grounding on the base rate of text reuse in scientific publications.