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@@ -1553,3 +1553,16 @@ We provide a TUI viewer with the dataset ([https://github.com/KNOT-FIT-BUT/OAPap
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  ## Sources
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  The dataset contains open access papers obtained from **CORE** and **SemanticScholar** corpora. These corpora contain third party content and materials, such as open access works from publicly available sources. In addition to the licenses of those organizations (ODC-By, CC BY-NC), any underlying Third Party Content may be subject to separate license terms by the respective third party owner. We made the best effort to provide identifiers (title, authors, year, DOI, or SemanticScholar ID) of collected papers to allow the user of this dataset to check the license.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Sources
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  The dataset contains open access papers obtained from **CORE** and **SemanticScholar** corpora. These corpora contain third party content and materials, such as open access works from publicly available sources. In addition to the licenses of those organizations (ODC-By, CC BY-NC), any underlying Third Party Content may be subject to separate license terms by the respective third party owner. We made the best effort to provide identifiers (title, authors, year, DOI, or SemanticScholar ID) of collected papers to allow the user of this dataset to check the license.
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+ ## Citation
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+ Please cite the following paper:
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+ @article{docekal2024oarelatedwork,
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+ title={OARelatedWork: A Large-Scale Dataset of Related Work Sections with Full-texts from Open Access Sources},
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+ author={Martin Docekal and Martin Fajcik and Pavel Smrz},
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+ year={2024},
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+ eprint={2405.01930},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL}
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+ }