| korean_corpus_dep | | | 0 | | donghwan kim | 2019-04-23 | | |
| 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 | |
| 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 | | |
| GENIAcorpus | | multi_cell (1,782)
mono_cell (222)
virus (2,136)
protein_family_or_group (8,002)
protein_complex (2,394)
protein_molecule (21,290)
protein_subunit (942)
protein_substructure (129)
protein_domain_or_region (1,044)
protein_other (97)
peptide (521)
amino_acid_monomer (784)
DNA_family_or_group (332)
DNA_molecule (664)
DNA_substructure (2)
DNA_domain_or_region (39)
DNA_other (16)
RNA_family_or_group (1,545)
RNA_molecule (554)
RNA_substructure (106)
RNA_domain_or_region (8,237)
RNA_other (48)
polynucleotide (259)
nucleotide (243)
lipid (2,375)
carbohydrate (99)
other_organic_compound (4,113)
body_part (461)
tissue (706)
cell_type (7,473)
cell_component (679)
cell_line (4,129)
other_artificial_source (211)
inorganic (258)
atom (342)
other (21,056)
| 78.9 K | GENIA Project | Yue Wang | 2023-11-29 | Released | |
| 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 | |
| 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 | |
| LitCovid-PD-UBERON | | | 540 K | | Jin-Dong Kim | 2023-11-29 | | |
| acggdb_ggdb | | | 0 | | nfujita | 2023-11-29 | | |
| jnlpba-st-training | | The training data used in the task came from the GENIA version 3.02 corpus, This was formed from a controlled search on MEDLINE using the MeSH terms "human", "blood cells" and "transcription factors". From this search, 1,999 abstracts were selected and hand annotated according to a small taxonomy of 48 classes based on a chemical classification. Among the classes, 36 terminal classes were used to annotate the GENIA corpus. For the shared task only the classes protein, DNA, RNA, cell line and cell type were used. The first three incorporate several subclasses from the original taxonomy while the last two are interesting in order to make the task realistic for post-processing by a potential template filling application. The publication year of the training set ranges over 1990~1999. | 51.1 K | GENIA | Yue Wang | 2023-11-26 | Released | |
| 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 | | |
