| 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 | 2023-11-24 | Released | |
| 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 | 2023-11-26 | Released | |
| TEST0 | | | 3.37 M | 2023-11-24 | | |
| funRiceGenes-all | | | 1.51 K | 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 | 2023-11-24 | Released | |
| OryzaGP | | A dataset for Named Entity Recognition for rice gene | 29.1 K | 2023-11-24 | Uploading | |
| 0mytest | | | 144 | 2023-11-29 | | |
| funRiceGenes-exact | | | 841 | 2023-11-28 | Developing | |
| 2_test | | | 145 M | 2023-11-24 | | |
| 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 | 2023-11-27 | Testing | |
