| SMAFIRA_Methods | | Predictions for methods for the SMAFIRA project. | 0 | | zebet | 2023-11-28 | Developing | |
| UseCases_ArguminSci_Discourse | | Predictions from ArguminSci(http://lelystad.informatik.uni-mannheim.de/) for the seven datasets and for discourse categories | 7.12 K | | zebet | 2023-11-29 | Developing | |
| PubMed_ArguminSci | | Predictions for PubMed automatically extracted with the ArguminSci tool (https://github.com/anlausch/ArguminSci). | 777 K | | zebet | 2023-11-24 | Released | |
| LitCovid-PubTatorCentral | | Named-entities for the documents in the LitCovid dataset. Annotations were automatically predicted by the PubTatorCentral tool (https://www.ncbi.nlm.nih.gov/research/pubtator/) | 4.64 K | | zebet | 2023-11-27 | Released | |
| Goldhamster2_Cellosaurus | | | 27.5 K | | zebet | 2023-11-29 | Developing | |
| UseCases_PubTatorCentral | | Predictions from PubTator Central (https://www.ncbi.nlm.nih.gov/research/pubtator/) for the seven datasets and for four entity types (disease,chemical,species,cellline) | 0 | | zebet | 2023-11-29 | Developing | |
| OryzaGP | | A dataset for Named Entity Recognition for rice gene | 29.1 K | Huy Do and Pierre Larmande | Yue Wang | 2023-11-24 | Uploading | |
| funRiceGenes-exact | | | 841 | | Yue Wang | 2023-11-28 | Developing | |
| FSU-PRGE | | A new broad-coverage corpus composed of 3,306 MEDLINE abstracts dealing with gene and protein mentions.
The annotation process was semi-automatic.
Publication: http://aclweb.org/anthology/W/W10/W10-1838.pdf | 59.5 K | CALBC Project | Yue Wang | 2023-11-26 | Released | |
| 2_test | | | 145 M | | Yue Wang | 2023-11-24 | | |
| funRiceGenes-all | | | 1.51 K | PubDictionaries | Yue Wang | 2023-11-29 | Developing | |
| DisGeNET5_variant_disease | | The file contains variant-disease associations obtained by text mining MEDLINE abstracts using the BeFree system, including the variant and disease off sets. | 144 K | IBI Group | Yue Wang | 2023-11-24 | Released | |
| 0mytest | | | 144 | | Yue Wang | 2023-11-29 | | |
| TEST0 | | | 3.37 M | | Yue Wang | 2023-11-24 | | |
| DisGeNET5_gene_disease | | The file contains gene-disease associations obtained by text mining MEDLINE abstracts using the BeFree system including the gene and disease off sets. | 2.04 M | IBI Group | Yue Wang | 2023-11-24 | Released | |
| LitCoin-Disease-Tuning-1 | | Annotator=PD-MeSH2022_C_F03_plus_allFN-B | 6.98 K | | yucca | 2023-11-29 | | |
| LitCoin-MeSH-Disease-2 | | Flase Negative全部入れてみた | 4.08 K | | yucca | 2023-11-29 | | |
| LitCoin-Chemical-MeSH-CHEBI | | ChemicalEntity:
Annotated by PD-MeSH2022_CHEBI_tuned-B | 3.84 K | | yucca | 2023-11-29 | Testing | |
| LitCoin-Disease-MeSH | | MeSH C and F03, plus false negatives that appear in two or more documents in LitCoin-entities | 3.56 K | | yucca | 2023-11-29 | Testing | |
| TEST-ChemicalEntity | | ChemicalEntity : Annotated by PD-MeSH2022_CHEBI_tuned-B | 827 | | yucca | 2023-11-29 | Beta | |
