multilinguality:monolingual language:en license:other region:us
The data are intended to be used as training and development data for BioASQ
10, which will take place during 2022. There is one file containing the data:
 - training10b.json

The file contains the data of the first nine editions of the challenge: 4234
questions [1] with their relevant documents, snippets, concepts and RDF
triples, exact and ideal answers.

Differences with BioASQ-training9b.json
- 492 new questions added from BioASQ9
    - The question with id 56c1f01eef6e394741000046 had identical body with
    602498cb1cb411341a00009e. All relevant elements from both questions
    are available in the merged question with id 602498cb1cb411341a00009e.
    - The question with id 5c7039207c78d69471000065 had identical body with
    601c317a1cb411341a000014. All relevant elements from both questions
    are available in the merged question with id 601c317a1cb411341a000014.
	- The question with id 5e4b540b6d0a27794100001c had identical body with
    602828b11cb411341a0000fc. All relevant elements from both questions
    are available in the merged question with id 602828b11cb411341a0000fc.
    - The question with id 5fdb42fba43ad31278000027 had identical body with
    5d35eb01b3a638076300000f. All relevant elements from both questions
    are available in the merged question with id 5d35eb01b3a638076300000f.
    - The question with id 601d76311cb411341a000045 had identical body with
    6060732b94d57fd87900003d. All relevant elements from both questions
    are available in the merged question with id 6060732b94d57fd87900003d.

[1] 4234 questions : 1252 factoid, 1148 yesno, 1018 summary, 816 list
@article{tsatsaronis2015overview,
	title        = {
		An overview of the BIOASQ large-scale biomedical semantic indexing and
		question answering competition
	},
	author       = {
		Tsatsaronis, George and Balikas, Georgios and Malakasiotis, Prodromos
        and Partalas, Ioannis and Zschunke, Matthias and Alvers, Michael R and
		Weissenborn, Dirk and Krithara, Anastasia and Petridis, Sergios and
		Polychronopoulos, Dimitris and others
	},
	year         = 2015,
	journal      = {BMC bioinformatics},
	publisher    = {BioMed Central Ltd},
	volume       = 16,
	number       = 1,
	pages        = 138
}
---
language: 
- en
bigbio_language:
- English
license: other
multilinguality: monolingual
bigbio_license_shortname: NLM_LICENSE
pretty_name: BioASQ Task B
homepage: http://participants-area.bioasq.org/datasets/
bigbio_pubmed: true
bigbio_public: false
bigbio_tasks:
- QUESTION_ANSWERING
---


# Dataset Card for BioASQ Task B

## Dataset Description

- **Homepage:** http://participants-area.bioasq.org/datasets/
- **Pubmed:** True
- **Public:** False
- **Tasks:** QA


The BioASQ corpus contains multiple question
answering tasks annotated by biomedical experts, including yes/no, factoid, list,
and summary questions. Pertaining to our objective of comparing neural language
models, we focus on the the yes/no questions (Task 7b), and leave the inclusion
of other tasks to future work. Each question is paired with a reference text
containing multiple sentences from a PubMed abstract and a yes/no answer. We use
the official train/dev/test split of 670/75/140 questions.

See 'Domain-Specific Language Model Pretraining for Biomedical
Natural Language Processing'


## Citation Information

```
@article{tsatsaronis2015overview,
	title        = {
		An overview of the BIOASQ large-scale biomedical semantic indexing and
		question answering competition
	},
	author       = {
		Tsatsaronis, George and Balikas, Georgios and Malakasiotis, Prodromos
        and Partalas, Ioannis and Zschunke, Matthias and Alvers, Michael R and
		Weissenborn, Dirk and Krithara, Anastasia and Petridis, Sergios and
		Polychronopoulos, Dimitris and others
	},
	year         = 2015,
	journal      = {BMC bioinformatics},
	publisher    = {BioMed Central Ltd},
	volume       = 16,
	number       = 1,
	pages        = 138
}
```
