| blah6_medical_device | | BLAH6 hackathon project to annotate medical device indications in premarket approval statement summaries. The documents in this project serve as a corpus of premarket approval (PMA) statements that have undergone quality control. In particular, we have (1) removed non-ascii characters, (2) fixed some text segmentation errors, and (3) fixed some capitalization errors. | 0 | Stefano Rensi | therightstef | 2023-11-29 | Beta | |
| CORD-PICO | | Automatic annotation of the CORD-19 dataset with PICO categories. The corpus was automatically labeled with an LSTM-CRF model trained on human-annotated PubMed abstracts from https://github.com/bepnye/EBM-NLP. Currently, titles and abstracts only are annotated using Population, Intervention and Outcome labels, as well as more fine-grained labels such as Age, Drug, Mortality and others. | 69.6 K | Simon Suster | ssuster | 2023-11-27 | Developing | |
| Glycosmos6-MAT | | Automatic annotation by PD-MAT. | 263 K | | Jin-Dong Kim | 2023-11-29 | Developing | |
| Glycosmos6-GlycoEpitope | | Automatic annotation by PD-GlycoEpitope. | 19.9 K | | Jin-Dong Kim | 2023-11-28 | Developing | |
| GlyCosmos6-CLO | | Automatic annotation by PC-CLO. | 1.18 M | | Jin-Dong Kim | 2023-11-24 | Developing | |
| GlyCosmos6-Glycan-Motif-Structure | | Automatic annotation by Covid-19_Glycan-Motif. | 107 K | | Jin-Dong Kim | 2023-11-24 | Developing | |
| JF-test | | A test corpus for exploring this service | 9 | Johan Frid | johanf | 2023-12-03 | Testing | |
| SCAI-Test | | A small corpus for the evaluation of dictionaries containing chemical entities.
Publication: http://www.scai.fraunhofer.de/fileadmin/images/bio/data_mining/paper/kolarik2008.pdf
Original source: https://www.scai.fraunhofer.de/en/business-research-areas/bioinformatics/downloads/corpora-for-chemical-entity-recognition.html | 1.21 K | CALBC Project | Yue Wang | 2023-11-28 | Released | |
| LitCoin-PubTator-for-Tuning | | A set of randomly selected PubMed articles with PubTator annotation.
The labels of PubTator annotations are converted to corresponding labels for LitCoin as follows:
'Gene' -> 'GeneOrGeneProduct',
'Disease' -> 'DiseaseOrPhenotypicFeature',
'Chemical' -> 'ChemicalEntity'
'Species' -> 'OrganismTaxon'
'Mutation' -> 'SequenceVariant'
'CellLine' -> 'CellLine' | 14.2 K | | Jin-Dong Kim | 2023-11-29 | | |
| ASCO_abstracts | | asco abstracts sample dataset | 28 K | | alo33 | 2023-11-29 | Testing | |
| DocumentLevelAnnotationSample | | A sample project for document level annotation | 47 | | Jin-Dong Kim | 2023-11-29 | Testing | |
| LitCovid-GlycoBiology | | Articles from GlycoBiology, received by the keyword "Covid-19" | 0 | | Jin-Dong Kim | 2023-11-29 | Testing | |
| GlyCosmos600-docs | | A random collection of 600 PubMed abstracts from 6 glycobiology-related journals: Glycobiology, Glycoconjugate journal, The Journal of biological chemistry, Journal of proteome research, Journal of proteomics, and Carbohydrate research. The whole PMIDs were collected on June 11, 2019. From each journal, 100 PMIDs were randomly sampled. | 0 | | Jin-Dong Kim | 2023-11-29 | Released | |
| performance-test | | a project for performance test | 480 K | | Jin-Dong Kim | 2023-11-27 | Testing | |
| LitCoin-Disease-Tuning-1 | | Annotator=PD-MeSH2022_C_F03_plus_allFN-B | 6.98 K | | yucca | 2023-11-29 | | |
| PT_NER_NEL | | Annotations in Portuguese COVID-19 related abstracts from MeSH terminology | 245 | LASIGE-DeST | pruas_18 | 2023-11-29 | Developing | |
| 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 | |
| IMDB-NLP | | Annotations for chunking and semantic role labeling based on in-memory databases. | 0 | | | 2016-05-06 | Uploading | |
| dailymed_spl | | Annotation of indications from DailyMed structured product labels | 0 | | micheldumontier | 2023-11-29 | Developing | |
| BioMedLAT | | Annotation of 643 questions from BioASQ with the Lexical Answer Type (LAT) and headword. | 0 | | | 2016-09-23 | Developing | |
