Downloads provided by UsageCounts
This dataset is a CC-BY 4.0 subset of what bioRxiv kindly made available: https://www.biorxiv.org/tdm It is randomized and split into train (6,000), validation (2,000) and test (2,000) subsets - 10,000 PDF / XML pairs in total. The zip files further contain file lists of smaller subsets that used the subject area to potentially create a balanced subset. The zip is similar in structure to the "PMC sample 1943" dataset that was created as part of: https://doi.org/10.1145/2494266.2494271 (a working link is available from: https://grobid.readthedocs.io/en/stable/End-to-end-evaluation/). Therefore it is well suited for evaluation of PDF to XML conversion tools, such as GROBID. The dataset was created as part of eLife's ScienceBeam project.
{"references": ["Constantin, A., Steve, P., Andrei, V.: Fully-automated PDF-to-XML conversion of scientific literature. In: Proceedings of the ACM Symposium on Document Engineering, pp. 177\u2013180. ACM, New York (2013). doi: 10.1145/2494266.2494271"]}
bioRxiv, XML, JATS, PDF
bioRxiv, XML, JATS, PDF
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 51 | |
| downloads | 11 |

Views provided by UsageCounts
Downloads provided by UsageCounts