Closes #27 - Add S800

bigbio/hub/hub_repos/s800/README.md

@@ -0,0 +1,50 @@
+---
+language:
+  - en
+bigbio_language:
+  - English
+license: other
+bigbio_license_shortname: other
+multilinguality: monolingual
+pretty_name: S800
+homepage: https://species.jensenlab.org/
+bigbio_pubmed: true
+bigbio_public: true
+bigbio_tasks:
+  - NAMED_ENTITY_RECOGNITION
+  - NAMED_ENTITY_DISAMBIGUATION
+---
+
+
+# Dataset Card for S800
+
+## Dataset Description
+
+- **Homepage:** https://species.jensenlab.org/
+- **Pubmed:** True
+- **Public:** True
+- **Tasks:** NER, NED
+
+S800 comprises 800 PubMed abstracts in which organism mentions were identified and mapped to the corresponding NCBI Taxonomy identifiers.
+
+To increase the corpus taxonomic mention diversity the S800 abstracts were collected by selecting 100 abstracts from the following 8 categories: bacteriology, botany, entomology, medicine, mycology, protistology, virology and zoology.
+S800 has been annotated with a focus at the species level; however, higher taxa mentions (such as genera, families and orders) have also been considered.
+
+
+## Citation Information
+
+```
+@article{,
+    title = {The SPECIES and ORGANISMS Resources for Fast and Accurate Identification of Taxonomic Names in Text},
+    author = {Pafilis, Evangelos AND Frankild, Sune P. AND Fanini, Lucia AND Faulwetter, Sarah AND Pavloudi, Christina AND Vasileiadou, Aikaterini AND Arvanitidis, Christos AND Jensen, Lars Juhl},
+    journal = {PLOS ONE},
+    publisher = {Public Library of Science},
+    year = {2013},
+    month = {06},
+    volume = {8},
+    pages = {1-6},
+    number = {6},
+    url = {https://doi.org/10.1371/journal.pone.0065390},
+    doi = {10.1371/journal.pone.0065390},
+}
+```