| Glycobiology-GlycanName | | | 946 | Toshihide Shikanai | shikanai | 2023-11-27 | Testing | |
| example-dialog | | | 0 | | Jin-Dong Kim | 2023-11-27 | Testing | |
| korean_corpus_pos | | | 0 | | donghwan kim | 2023-11-27 | | |
| GlyCosmos600-GlycoEpitope | | | 277 | | Jin-Dong Kim | 2023-11-27 | Testing | |
| Training_Data_French_fr_en | | | 0 | | wmtbio | 2023-11-27 | Developing | |
| PIR-corpus1 | | The Protein Information Resource (PIR) is not biased towards any particular biomedical domain, and is expected to provide more diverse protein names in a given sample size.
Annotation category: protein, compound-protein, acronym. | 4.44 K | University of Delaware and Georgetown University Medical Center | Yue Wang | 2023-11-27 | Released | |
| AIMed | | The AIMed corpus is one of the most widely used corpora for protein-protein interaction extraction. The protein annotations are either parts of the protein interaction annotations, or are uninvolved in any protein interaction annotation.
Publication: http://www.cs.utexas.edu/~ml/papers/bionlp-aimed-04.pdf | 4.04 K | The University of Texas at Austin | Yue Wang | 2023-11-27 | Testing | |
| GlyCosmos600-GlycoProteins | | GlycoProtein annotations were made using the glycoprotein-name dictionary on PubDictionaries:
http://pubannotation.org/projects/GlyCosmos600-docs
The documents were imported from the GlyCosmos600-docs project:
http://pubannotation.org/projects/GlyCosmos600-docs | 3.68 K | | Jin-Dong Kim | 2023-11-27 | Testing | |
| Training_Data_Japanese_ja_en | | | 0 | | wmtbio | 2023-11-27 | Developing | |
| LitCovid-sample-PD-GlycoEpitope | | | 1 | | Jin-Dong Kim | 2023-11-27 | Developing | |
| LitCovid-sentences-v1 | | Sentence segmentation of all the texts in the LitCovid literature. The segmentation is automatically obtained using the TextSentencer annotation service developed and maintained by DBCLS. | 16.5 K | | Jin-Dong Kim | 2023-11-27 | Released | |
| Training_Data_English_de_en | | | 0 | | wmtbio | 2023-11-27 | Developing | |
| LappsTest | | Project to test posting annotations directly from the Language Applications Grid | 2.67 K | Keith Suderman | ksuderman | 2023-11-27 | Developing | |
| metamap-sample | | Sample annotation of MetaMep, produced by Aronson, et al.
An overview of MetaMap: historical perspective and recent advances, JAMIA 2010 | 10.9 K | Alan R Aronson | Jin-Dong Kim | 2023-11-27 | Testing | |
| Zoonoses_partialAnnotation | | This is a part of Zoonoses project used by PanZoora. But Zoonoses project provides whole manual annotated data but this is partial ones. | 266 | | AikoHIRAKI | 2023-11-27 | Released | |
| bionlp-st-ge-2016-test-proteins | | Protein annotations to the benchmark test data set of the BioNLP-ST 2016 GE task.
A participant of the GE task may import the documents and annotations of this project to his/her own project, to begin with producing event annotations.
For more details, please refer to the benchmark test data set (bionlp-st-ge-2016-test).
| 4.34 K | DBCLS | Jin-Dong Kim | 2023-11-27 | Released | |
| LitCoin-entities-OrganismTaxon-PD | | | 949 | | Jin-Dong Kim | 2023-11-27 | Testing | |
| LitCovid-sample-MedDRA | | | 185 | | Jin-Dong Kim | 2023-11-27 | Testing | |
| UCDIT_TEST | | colitis link | 91.6 K | | alo33 | 2023-11-27 | Testing | |
| bionlp-st-pc-2013-training | | The training dataset from the pathway curation (PC) task in the BioNLP Shared Task 2013.
The entity types defined in the PC task are simple chemical, gene or gene product, complex and cellular component. | 7.86 K | NaCTeM and KISTI | Yue Wang | 2023-11-27 | Released | |
