Update metadata

README.md

@@ -76,13 +76,18 @@ dataset_info:
 
 - **Homepage:** [SPECIES](https://species.jensenlab.org/)
 - **Repository:**
-- **Paper:**
+- **Paper:** https://doi.org/10.1371/journal.pone.0065390
 - **Leaderboard:**
-- **Point of Contact:**
+- **Point of Contact:** [Lars Juhl Jensen](mailto:[email protected])
 
 ### Dataset Summary
 
-[More Information Needed]
+S800 Corpus: a novel abstract-based manually annotated corpus. 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.
+
+
+The Species-800 dataset was pre-processed and split based on the dataset of Pyysalo (https://github.com/spyysalo/s800).
 
 ### Supported Tasks and Leaderboards
 
@@ -90,13 +95,34 @@ dataset_info:
 
 ### Languages
 
-[More Information Needed]
+English (`en`).
 
 ## Dataset Structure
 
 ### Data Instances
 
-[More Information Needed]
+```
+{'id': '0',
+ 'tokens': ['Methanoregula',
+  'formicica',
+  'sp',
+  '.',
+  'nov',
+  '.',
+  ',',
+  'a',
+  'methane',
+  '-',
+  'producing',
+  'archaeon',
+  'isolated',
+  'from',
+  'methanogenic',
+  'sludge',
+  '.'],
+ 'ner_tags': [1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]}
+
+```
 
 ### Data Fields
 
@@ -160,11 +186,46 @@ dataset_info:
 
 ### Licensing Information
 
-[More Information Needed]
+The species-level S800 corpus is subject to Medline restrictions.
 
 ### Citation Information
 
-[More Information Needed]
+Original data:
+```
+@article{pafilis2013species,
+         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},
+         volume={8},
+         number={6},
+         pages={e65390},
+         year={2013},
+         publisher={Public Library of Science}
+}
+```
+
+Source data of this dataset:
+```
+@article{10.1093/bioinformatics/btz682,
+    author = {Lee, Jinhyuk and Yoon, Wonjin and Kim, Sungdong and Kim, Donghyeon and Kim, Sunkyu and So, Chan Ho and Kang, Jaewoo},
+    title = "{BioBERT: a pre-trained biomedical language representation model for biomedical text mining}",
+    journal = {Bioinformatics},
+    volume = {36},
+    number = {4},
+    pages = {1234-1240},
+    year = {2019},
+    month = {09},
+    issn = {1367-4803},
+    doi = {10.1093/bioinformatics/btz682},
+    url = {https://doi.org/10.1093/bioinformatics/btz682},
+    eprint = {https://academic.oup.com/bioinformatics/article-pdf/36/4/1234/48983216/bioinformatics\_36\_4\_1234.pdf},
+}
+```
+and
+```
+https://github.com/spyysalo/s800
+```
+
 ### Contributions
 
 Thanks to [@edugp](https://github.com/edugp) for adding this dataset.