STEREO: Scientific Text Reuse in Open Access Publications
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 6 of its 42 references that are in the map. First posted on arXiv 22 Dec 2021.
Builds on
6 of 42 references.
References · 6
- 2018Datasheets for Datasetscited by 1,371
- 2021Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Paperscited by 49
- 2020Testing of Support Tools for Plagiarism Detectioncited by 11
- 2014Patterns of Text Reuse in a Scientific Corpuscited by 5
- 2014Automatic Detection of Reuses and Citations in Literary Textscited by 3
- 2018Wikipedia Text Reuse: Within and Withoutcited by 2
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Citing papers per year: 2023: 1.
1 paper.