Labeled data for citation field extraction

Citations are an important part of scientific papers, and the proper
handling of them is indispensable for the science of science. Citation
field extraction is the task of parsing citations: given a citation
string, extract authors, title, venue, doi etc. Since the number of
citations is counted by hundreds millions, efficient computer based
methods for this task are very important. The development of machine
learning methods for citation field extraction requires ground truth: a
large corpus of labeled citations. This dataset provides a very large
(41M) corpus of labeled data obtained by the reverse process: we took
structured citation lists and used BibTeX to generate labeled citation
strings.