| PMA_age_indications | | | 1.57 K | | therightstef | 2023-11-29 | Developing | |
| ICD10 | | Annotation for disease names as defined in ICD10 | 1.6 K | DBCLS | Jin-Dong Kim | 2023-11-29 | Developing | |
| LitCoin-NCBITaxon-2 | | | 1.65 K | | atsuko | 2023-11-29 | Testing | |
| consensus_PMA_Age_Indications | | | 1.7 K | | laurenc | 2023-11-28 | Beta | |
| GlyCosmos600-CLO | | | 1.73 K | | Jin-Dong Kim | 2023-11-28 | Testing | |
| bionlp-ost-19-BB-kb-dev | | | 1.89 K | | ldeleger | 2023-11-26 | Developing | |
| bionlp-ost-19-BB-kb-ner-dev | | | 1.9 K | | ldeleger | 2023-11-29 | Developing | |
| Age_blah | | | 1.9 K | | slee7268 | 2023-11-29 | Beta | |
| 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. | 1.91 K | NaCTeM | Yue Wang | 2023-11-29 | Released | |
| LitCovid-sample-PD-FMA | | | 1.93 K | | Jin-Dong Kim | 2023-11-28 | Beta | |
| updated_tagging_age_PMA_annotations | | | 1.94 K | | laurenc | 2023-11-26 | Developing | |
| LitCoin_Mondo | | | 1.96 K | | Yasunori Yamamoto | 2023-11-28 | Testing | |
| bionlp-ost-19-BB-rel-dev | | | 1.97 K | | ldeleger | 2023-11-29 | Developing | |
| bionlp-ost-19-BB-rel-ner-dev | | | 1.98 K | | ldeleger | 2023-11-29 | Developing | |
| bionlp-ost-19-BB-kb-test | | | 2.04 K | | ldeleger | 2023-11-29 | Developing | |
| bionlp-ost-19-BB-norm-test | | | 2.05 K | | ldeleger | 2023-11-28 | Developing | |
| bionlp-ost-19-BB-rel-test | | | 2.07 K | | ldeleger | 2023-11-29 | Developing | |
| FA_Top100-Disease | | 1/2 FirstAuthor Top100 (201811-201910) for diseases
MONDO & HPO | 2.14 K | | AikoHIRAKI | 2023-11-29 | | |
| LocText | | The manually annotated corpus consists of 100 PubMed abstracts annotated for proteins, subcellular localizations, organisms and relations between them. The focus of the corpus is on annotation of proteins and their subcellular localizations. | 2.29 K | Goldberg et al | Shrikant Vinchurkar | 2023-11-29 | Released | |
| LitCovid-sample-sentences | | | 2.3 K | | Jin-Dong Kim | 2023-11-29 | Beta | |
