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Dataset Open Access

Softcite software mention extraction from the CORD-19 publications

Patrice Lopez; Caifan Du; Hannah Cohoon; James Howison

Softcite software mention extraction from the CORD-19 publications

This dataset is the first result of the extraction of software mentions from the set of publications of the CORD-19 corpus (https://allenai.org/data/cord-19) by the Softcite software recognizer, see https://github.com/ourresearch/software-mentions.

The CORD-19 version used for this dataset is the one dated 2021-03-22, using the metadata.csv file only. We re-harvested the PDF with https://github.com/kermitt2/article-dataset-builder in order to also extract coordinates of software mentions in the PDF and to take advantage of the latest version of GROBID to produce better full text extraction from PDF.

Data format

The extraction consists of 3 JSON files:

annotations.json contains the individual software annotations including software name and possible attached attributes (publisher, URL and version). Each annotation is associated with coordinates expressed as bounding boxes in the original PDF. See Coordinates of structures in the original PDF  for more details on the coordinate format.

The context of citation is the sentence where the software name and its attributes are extracted. It is added to the JSON structure (field context), as well as the identifier of the document where the annotation belongs (field document, pointing to entries available in documents.json) and a list of bibliographical references attached to the software name (field references, pointing to entries available in references.json, with the used reference marker string). See https://github.com/ourresearch/software-mentions for more details on the extracted attributes.

If the software name was sucessfully disambiguated against WikiData ("entity linking"), it appears in the field wikidataId as Wikidata entity identifier and in the field wikipediaExternalRef as a Wikipedia PageID from the English Wikipedia. Entity linking is realized with entity-fishing.

documents.json contains the metadata of the all the CORD-19 documents containing at least one software annotation. The metadata are given as a CrossRef JSON structure. The abstract should be included in the metadata most of the time, as well as some complements extracted by GROBID directly from the PDF. In addition, the size of the pages and the unique file path to the PDF can be found to allow annotations directly on the PDF (see Coordinates of structures in the original PDF for more details on the PDF annotation display mechanism).

references.json contains the parsed reference entries associated to software mentions. These references are given in the field tei encoded in the XML TEI format of GROBID extraction. The extracted raw references have been matched against CrossRef to get a DOI and more complete metadata with biblio-glutton.

Statistics

CORD-19 version: 2021-03-22

- total Open Access full texts: 211,213
               - with at least one software mention: 76,448

- total software name annotations: 318,138
               - with linked Wikidata ID: 117,193

- associated field   
               - publisher: 62,240 
               - version: 105,661
               - URL: 29,753

- associated bibliographical references: 61,170
               - distinct references: 15,931
               - distinct with matched DOI: 10,611
               - distinct with matched PMC ID: 6,435

License and acknowledgements

This dataset is licensed under a Creative Commons Attribution 4.0 International License.

We thank Alfred P. Sloan Foundation for supporting this work.

Files (761.4 MB)
Name Size
annotations.json
md5:13722319196b125acfd56d10092b9e6c
236.7 MB Download
documents.json
md5:78f4eeff780614d7dcbf080e914922fa
477.5 MB Download
readme.md
md5:6846ee73ed224092cfcd69dfdcdf8c4e
4.0 kB Download
references.json
md5:08946fc3ca5b12ebb614a0715b3f30ad
47.2 MB Download
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