| 123123123 | | 123123123 | 150 | | yaoxinzhi | 2019-04-12 | Released | |
| 2015-BEL-Sample | | An attempt to upload 295 BEL statements, i.e. the sample set used for the 2015 BioCreative challenge.
| 58 | Fabio Rinaldi | Fabio Rinaldi | 2015-02-26 | Testing | |
| 2015-BEL-Sample-2 | | The 295 BEL statements for sample set used for the 2015 BioCreative challenge. | 11.4 K | Fabio Rinaldi | Nico Colic | 2016-05-25 | Released | |
| 2019713_HI_relation | | | 2.14 K | | xiajingbo | 2019-07-13 | | |
| Ab3P-abbreviations | | This corpus was developed during the creation of the Ab3P abbreviation definition identification tool. It includes 1250 manually annotated MEDLINE records. This gold standard includes 1221 abbreviation-definition pairs.
Abbreviation definition identification based on automatic precision estimates
Sunghwan Sohn, Donald C Comeau, Won Kim and W John Wilbur
BMC Bioinformatics20089:402
DOI: 10.1186/1471-2105-9-402 | 2.34 K | Sunghwan Sohn, Donald C Comeau, Won Kim and W John Wilbur | comeau | 2016-07-29 | Beta | |
| acggdb_ggdb | | | 0 | | nfujita | 2018-02-09 | | |
| AGAC-2-2 | | | 1.53 K | Wang&Mina | xiajingbo | 2019-04-10 | Developing | |
| AGAC_sample | | | 874 | | xiajingbo | 2019-06-30 | Released | |
| AGAC_test | | | 0 | | xiajingbo | 2019-07-12 | Released | |
| AGAC_training | | | 3.32 K | | xiajingbo | 2019-09-12 | 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 | 2017-04-14 | Testing | |
| AlvisNLP-Test | | Project for testing AlviNLP PubAnnotation server during BLAH3. | 17 | | Bibliome | 2017-01-20 | Testing | |
| AnEM_abstracts | | 250 documents selected randomly from citation abstracts
Entity types: organism subdivision, anatomical system, organ, multi-tissue structure, tissue, cell, developing anatomical structure, cellular component, organism substance, immaterial anatomical entity and pathological formation
Together with AnEM_full-texts, it is probably the largest manually annotated corpus on anatomical entities. | 1.95 K | NaCTeM | Yue Wang | 2020-02-01 | Released | |
| AnEM_full-texts | | 250 documents selected randomly from full-text papers
Entity types: organism subdivision, anatomical system, organ, multi-tissue structure, tissue, cell, developing anatomical structure, cellular component, organism substance, immaterial anatomical entity and pathological formation
Together with AnEM_abstracts, it is probably the largest manually annotated corpus on anatomical entities. | 689 | NaCTeM | Yue Wang | 2016-07-27 | Uploading | |
| Annotation-Euglena-Enzymes | | | 0 | | Shuichi Kawashima | 2016-06-13 | Developing | |
| bayaba | | nalee | 7 | | Nakyolee | 2017-07-13 | | |
| BioLarkPubmedHPO | | 228 abstracts manually annotated with Human Phenotype Ontology (HPO) concepts and harmonized by three curators, which can be used as a reference standard for free text annotation of human phenotypes. For more info, please see Groza et al. "Automatic concept recognition using the human phenotype ontology reference and test suite corpora", 2015. | 7.24 K | Tudor Groza | simon | 2020-02-01 | Released | |
| BioMedLAT | | Annotation of 643 questions from BioASQ with the Lexical Answer Type (LAT) and headword. | 0 | | | 2016-09-23 | Developing | |
| bionlp-ost-19-BB-kb-dev | | | 1.89 K | | ldeleger | 2020-02-07 | Developing | |
| bionlp-ost-19-BB-kb-ner-dev | | | 1.9 K | | ldeleger | 2020-02-07 | Developing | |
