| korean_corpus_dep | | | 0 | | donghwan kim | 2019-04-23 | | |
| pubmed-sentences-benchmark | | A benchmark data for text segmentation into sentences.
The source of annotation is the GENIA treebank v1.0.
Following is the process taken.
began with the GENIA treebank v1.0.
sentence annotations were extracted and converted to PubAnnotation JSON.
uploaded. 12 abstracts met alignment failure.
among the 12 failure cases, 4 had a dot('.') character where there should be colon (':'). They were manually fixed then successfully uploaded: 7903907, 8053950, 8508358, 9415639.
among the 12 failed abstracts, 8 were "250 word truncation" cases. They were manually fixed and successfully uploaded. During the fixing, manual annotations were added for the missing pieces of text.
30 abstracts had extra text in the end, indicating copyright statement, e.g., "Copyright 1998 Academic Press." They were annotated as a sentence in GTB. However, the text did not exist anymore in PubMed. Therefore, the extra texts were removed, together with the sentence annotation to them.
| 18.4 K | GENIA project | Jin-Dong Kim | 2023-11-28 | Released | |
| SMAFIRA_Feedback_Labels | | | 0 | | zebet | 2021-01-21 | Developing | |
| Glycobiology-GlycanName | | | 946 | Toshihide Shikanai | shikanai | 2023-11-27 | Testing | |
| Training_Data_Japanese_ja_en | | | 0 | | wmtbio | 2023-11-27 | Developing | |
| korean_corpus_pos | | | 0 | | donghwan kim | 2023-11-27 | | |
| proj_h_1 | | | 6.7 K | | | 2023-11-24 | | |
| bionlp-ost-19-BB-kb-ner-test | | | 125 | | ldeleger | 2023-11-28 | Developing | |
| bionlp-ost-19-SeeDev-bin-dev | | | 2.58 K | | ldeleger | 2023-11-28 | Developing | |
| NER-microbes | | | 10 | | Shuichi Kawashima | 2023-11-29 | Developing | |
| Test_PubTator | | | 62 | | Chih-Hsuan Wei | 2023-11-29 | Testing | |
| bionlp-st-id-2011-training | | The training dataset from the infectious diseases (ID) task in the BioNLP Shared Task 2011.
Entity types: - Genes and gene products: gene, RNA, and protein name mentions. - Two-component systems: mentions of the names of two-component regulatory systems, frequently embedding the names of the two Proteins forming the system.- Chemicals: mentions of chemical compounds such as "NaCL".- Organisms: mentions of organism names or organism specification through specific properties (e.g. "graRS mutant").- Regulons/Operons: mentions of names of specific regulons and operons. | 5.61 K | University of Tokyo Tsujii Laboratory, NaCTeM and Biocomplexity Institute of Virginia Tech | Yue Wang | 2023-11-28 | Released | |
| LitCovid-PD-UBERON | | | 540 K | | Jin-Dong Kim | 2023-11-29 | | |
| acggdb_ggdb | | | 0 | | nfujita | 2023-11-29 | | |
| 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. | 687 | NaCTeM | Yue Wang | 2023-11-29 | Uploading | |
| FirstAuthor_s_Plants | | For only Plants | 4.3 K | | AikoHIRAKI | 2023-11-29 | Testing | |
| bionlp-ost-19-BB-rel-dev | | | 1.97 K | | ldeleger | 2023-11-29 | Developing | |
| Training_Data_English_pt_en | | | 0 | | wmtbio | 2023-11-29 | Developing | |
| SNPPhenoExt | | | 3 | behrouz bokharaeian | bokharaeian | 2023-11-29 | Developing | |
| korean_corpus | | validation korean | 90 | | donghwan kim | 2023-11-29 | | |
