数据集:
TomTBT/pmc_open_access_xml
The XML Open Access includes more than 3.4 million journal articles and preprints that are made available under license terms that allow reuse. Not all articles in PMC are available for text mining and other reuse, many have copyright protection, however articles in the PMC Open Access Subset are made available under Creative Commons or similar licenses that generally allow more liberal redistribution and reuse than a traditional copyrighted work. The PMC Open Access Subset is one part of the PMC Article Datasets
This version takes XML version as source, benefiting from the structured text to split the articles in parts, naming the introduction, methods, results, discussion and conclusion, and reference with keywords in the text to external or internal resources (articles, figures, tables, formulas, boxed-text, quotes, code, footnotes, chemicals, graphics, medias).
The dataset was initially created with relation-extraction tasks in mind, between the references in text and the content of the references (e.g. for PMID, by joining the refered article abstract from the pubmed dataset), but aims in a larger extent to provide a corpus of pre-annotated text for other tasks (e.g. figure caption to graphic, glossary definition detection, summarization).
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In text, the references are in the form ##KEYWORD##IDX_REF##OLD_TEXT##, with keywords (REF, UREF, FIG, TAB, FORMU, BOX, CODE, QUOTE, CHEM, SUPPL, FOOTN, GRAPH, MEDIA) referencing respectively to "pubmed articles" (external), "unknown_references", "figure", "table", "formula", "box", "code", "quote", "chem", "supplementary", "footnote", "graphic" and "media".
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Internal references (figures, tables, ...) were found using specific tags. Deciding on those tags was done by testing and by looking in the documentation for the different kind of possible usage. Then, to split the article into introduction, methods, results, discussion and conclusion, specific keywords in titles were used. Because there are no rules in this xml to tag those sections, finding the keyword seemed like the most reliable approach to do so. A drawback is that many section do not have those keywords in the titles but could be assimilated to those. However, the huge diversity in the titles makes it harder to label such sections. This could be the work of further versions of this dataset.
Data was obtained from:
Additional content for individual articles (graphics, media) can be obtained from:
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Who are the annotators?[Needs More Information]
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The articles XML are similar accross collections. This means that if a certain collection handles the structure in unusual ways, the whole collection might not be as well annotated than others. This concerns all the sections (intro, methods, ...), the external references (pmids) and the internal references (tables, figures, ...). To illustrate that, references are sometime given as a range (e.g. 10-15). In that case, only reference 10 and 15 are linked. This could potentially be handled in a future version.
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https://www.ncbi.nlm.nih.gov/pmc/about/copyright/
Within the PMC Open Access Subset, there are three groupings:
Commercial Use Allowed - CC0, CC BY, CC BY-SA, CC BY-ND licenses Non-Commercial Use Only - CC BY-NC, CC BY-NC-SA, CC BY-NC-ND licenses; and Other - no machine-readable Creative Commons license, no license, or a custom license.
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