Datasets:

UMCU
/

BioASQ_11B_Dutch

license: cc-by-2.5
language:
  - nl
tags:
  - medical
pretty_name: BioASQ Dutch 11B, Q/A
size_categories:
  - 1K<n<10K
task_categories:
  - question-answering
  - sentence-similarity

Bio ASQ challenge 11b

This can be used to finetune a decoder model for Q/A interaction, alternatively it can be used to create (question, positive, negative) triplets to train a sentence encoder using SBERT.

Reference:

@inbook{Nentidis_2023,
   title={Overview of BioASQ 2023: The Eleventh BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering},
   ISBN={9783031424489},
   ISSN={1611-3349},
   url={http://dx.doi.org/10.1007/978-3-031-42448-9_19},
   DOI={10.1007/978-3-031-42448-9_19},
   booktitle={Experimental IR Meets Multilinguality, Multimodality, and Interaction},
   publisher={Springer Nature Switzerland},
   author={Nentidis, Anastasios and Katsimpras, Georgios and Krithara, Anastasia and Lima López, Salvador and Farré-Maduell, Eulália and Gasco, Luis and Krallinger, Martin and Paliouras, Georgios},
   year={2023},
   pages={227–250} }
``