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MEDDOCAN corpus: gold standard annotations for Medical Document Anonymization on Spanish clinical case reports

<p><strong>Intro:</strong></p> <p>Meddocan shared task dataset (divided in train, dev and test). In addition, we include here the Meddocan background set.</p> <p>It contains the training, development and test sets of the Meddocan shared task with Gold Standard annotations.</p> <p>In addition, it contains the documents of the background set, without annotations.</p> <p>&nbsp;</p> <p><strong>Annotation quality</strong></p> <p>Inter-annotator agreement: 98%&nbsp;</p> <p>For more information, see the <a href="http://ceur-ws.org/Vol-2421/MEDDOCAN_overview.pdf">paper</a>.&nbsp;</p> <p>&nbsp;</p> <p><strong>Format:</strong></p> <p>Annotations are distributed in Brat format. See&nbsp;<a href="https://brat.nlplab.org/standoff.html">Brat webpage</a>&nbsp;for more information.</p> <p>In addition, annotations are also distributed in XML format (based on i2b2 XML format).</p> <p>In the <a href="https://temu.bsc.es/meddocan/index.php/resources/">Meddocan webpage</a>, there is a script to convert&nbsp;between MEDDOCAN-Brat, MEDDOCAN-XML, and i2b2 formats.</p> <p>&nbsp;</p> <p><strong>Shared task goal:</strong></p> <p>In the three subtasks, the goal will be to predict the annotations&nbsp;given only the plain text files.&nbsp;</p> <p>&nbsp;</p> <p><strong>Resources:</strong></p> <ul> <li><strong><a href="https://temu.bsc.es/meddocan/">Web</a></strong></li> <li><strong>Citation:&nbsp;</strong>Montserrat Marimon et al. &ldquo;Automatic De-identification of Medical Texts in Spanish: the MEDDOCAN Track, Corpus, Guidelines, Methods and Evaluation of Results.&rdquo; In: IberLEF@ SEPLN. 2019, pp. 618&ndash;638.</li> <li><strong>Silver Standard corpus</strong></li> <li><a href="https://doi.org/10.5281/zenodo.4279337"><strong>Annotation guidelines</strong></a></li> </ul> <p>&nbsp;</p> <p>For further information, please visit&nbsp;<a href="https://temu.bsc.es/meddocan/">https://temu.bsc.es/meddocan/</a>&nbsp;or email us at encargo-pln-life@bsc.es</p> <p>Copyright (c) 2019 Secretar&iacute;a de Estado para el Avance Digital (SEAD)</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4

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