| OryzaGP_2022 | | | 41.3 K | | larmande | 2023-11-24 | | |
| LitCoin-training-merged | | | 14.8 K | | Jin-Dong Kim | 2023-11-24 | | |
| LitCoin-GeneOrGeneProduct-v3 | | GeneOrGeneProduct
after false positive control | 4.67 K | | Jin-Dong Kim | 2023-11-24 | | |
| Covid19_manual_annotation_v2 | | | 4.58 K | | AikoHIRAKI | 2023-11-24 | 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 | |
| PubMed-German-test | | A collection of PubMed abstracts which are written in German | 0 | | Jin-Dong Kim | 2023-11-24 | 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 | |
| PubMed-2017 | | abstracts published in 2017. | 0 | | Jin-Dong Kim | 2023-11-24 | Developing | |
| speech-test | | | 6 | | Jin-Dong Kim | 2023-11-26 | Testing | |
| AlvisNLP-Async-Test | | Test for the asynchronous AlvisNLP/ML annotator family. | 0 | Robert Bossy | rbossy | 2023-11-26 | Testing | |
| ENG_NER_NEL | | Annotations in COVID-19 related PubMed abstracts from the following ontologies: Disease Ontology ("do"), Gene Ontology ("go"), Human Phenotype Ontology ("hpo"), ChEBI ontology ("chebi"), MeSH
| 493 | LASIGE-DeST | pruas_18 | 2023-11-26 | Developing | |
| Zoonoses | | This is a main data sets of Zoonoses project used by PanZoora. | 10.3 K | | AikoHIRAKI | 2023-11-26 | Developing | |
| CORD-19-sample-UBERON | | | 54 | | Jin-Dong Kim | 2023-11-26 | Developing | |
| CORD-19-SciBite-sentences | | | 11.2 K | | Jin-Dong Kim | 2023-11-26 | Testing | |
| demo4TogoSite | | | 323 | | AikoHIRAKI | 2023-11-26 | 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 | |
| CORD-19-PD-MONDO | | PubDictionaries annotation for MONDO terms - updated at 2020-04-30
It is disease term annotation based on MONDO.
Version 2020-04-20.
The terms in MONDO are loaded in PubDictionaries, with which the annotations in this project are produced. The parameter configuration used for this project is here.
Note that it is an automatically generated dictionary-based annotation. It will be updated periodically, as the documents are increased, and the dictionary is improved. | 6.32 M | | Jin-Dong Kim | 2023-11-27 | Released | |
| LitCovid-PD-FMA-UBERON-v1 | | PubDictionaries annotation for anatomy terms - updated at 2020-04-20
Disease term annotation based on FMA and Uberon. Version 2020-04-20.
The terms in FMA and Uberon are loaded in PubDictionaries
(FMA and
Uberon), with which the annotations in this project are produced.
The parameter configuration used for this project is
here for FMA and
there for Uberon.
Note that it is an automatically generated dictionary-based annotation. It will be updated periodically, as the documents are increased, and the dictionary is improved. | 4.3 K | | Jin-Dong Kim | 2023-11-27 | Released | |
| glycosmos-test-structure-v1 | | | 471 | | ISSAKU YAMADA | 2023-11-27 | Testing | |
| 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 | |
