LivingNER terminology: NCBI Taxonomy translated to Spanish
<pre>Official NCBI Taxonomy FTP dump (https://ftp.ncbi.nlm.nih.gov/pub/taxonomy/) with the terms translated to Spanish by a Neural Machine Translator fine-tuned for the biomedical domain.</pre> <p>We have added the following terms: </p> <pre><code>2560602 Mumps orthorubulavirus Mumps orthorubulavirus scientific name Paperas ortorubulavirus 2560526 Human orthorubulavirus 4 Human orthorubulavirus 4 scientific name orthorubulavirus humano 4 2847144 hepatitis C virus genotype 1a hepatitis C virus genotype 1a scientific name virus de la hepatitis C genotipo 1a 2560525 Human orthorubulavirus 2 Human orthorubulavirus 2 scientific name orthorubulavirus humano 2 _NOCODE_ out of NCBI Taxonomy scope out of NCBI Taxonomy scope NA mención no codificable a NCBI Taxonomy</code></pre> <p>The first 4 were added because they appear in the LivingNER corpus, and are present in the browser version of NCBI Taxonomy.</p> <p>The last one (_NOCODE_) is added to identify terms in LivingNER corpus not present in the NCBI Taxonomy.</p> <p> </p> <p> </p> <p><strong>Format:</strong></p> <p>Tab-separated file with the following columns:</p> <ul> <li>tax_id: the id of node associated with this name</li> <li>name_txt: name itself</li> <li>unique name: the unique variant of this name if name not unique</li> <li>name class: (synonym, common name, scientific name, ...)</li> <li>Spanish name: name in Spanish</li> </ul> <p> </p> <p><strong>Please cite if you use this dataset:</strong></p> <p>A. Miranda-Escalada, E. Farré-Maduell, S. Lima-López, D. Estrada, L. Gascó, M. Krallinger, Mention detection, normalization & classification of species, pathogens, humans and food in clinical documents: Overview of livingner shared task and resources, <em>Procesamiento del Lenguaje Natural</em> (2022)</p> <pre><code>@article{amiranda2022nlp, title={Mention detection, normalization \& classification of species, pathogens, humans and food in clinical documents: Overview of LivingNER shared task and resources}, author={Miranda-Escalada, Antonio and Farr{\'e}-Maduell, Eul{`a}lia and Lima-L{\'o}pez, Salvador and Estrada, Darryl and Gasc{\'o}, Luis and Krallinger, Martin}, journal = {Procesamiento del Lenguaje Natural}, year={2022} }</code></pre> <p> </p> <p><strong>Resources</strong></p> <ul> <li><a href="https://temu.bsc.es/livingner/"><strong>Web</strong></a></li> <li><a href="https://doi.org/10.5281/zenodo.6376662"><strong>Training and validation set</strong></a></li> <li><a href="https://doi.org/10.5281/zenodo.6385162"><strong>Annotation Guidelines</strong></a></li> <li><a href="https://github.com/tonifuc3m/livingner-evaluation-library"><strong>Evaluation library</strong></a></li> </ul> <p> </p> <p>For more information visit <a href="https://temu.bsc.es/livingner/">https://temu.bsc.es/livingner/</a> or email us at encargo-pln-life@bsc.es</p> <p>Check out the translator demo: https://textmining.bsc.es/translator</p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4