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---
language:
- el
license:
- apache-2.0
multilinguality:
- monolingual
size_categories:
- 1K<
source_datasets:
- deepset/covid_qa_deepset
task_categories:
- question-answering
task_ids:
- closed-domain-qa
- extractive-qa
pretty_name: COVID-QA-el-small
dataset_info:
config_name: COVID-QA-el-small
features:
- name: document_id
dtype: int32
- name: context
dtype: string
- name: question
dtype: string
- name: id
dtype: int32
- name: answers
sequence:
- name: text
dtype: string
- name: answer_start
dtype: int32
splits:
- name: train
num_bytes: 6733273
num_examples: 826
download_size: 7060096
dataset_size: 6733273
configs:
- config_name: default
data_files:
- split: train
path: "COVID-QA-el_small.json"
---
# Dataset Card for COVID-QA-el-small
### Dataset Summary
The COVID-QA-el-small dataset is a Greek-language subset of 826 examples derived from the [COVID-QA-el dataset](https://huggingface.co/datasets/deepset/covid_qa_deepset), translated using machine translation. The dataset follows the SQuADv1.1 fashion style.
The original dataset, [COVID-QA: A Question Answering Dataset for COVID-19](https://aclanthology.org/2020.nlpcovid19-acl.18/) (ACL 2020) contains 2,019 question-answer pairs annotated by volunteer biomedical experts on scientific literature about COVID-19.
### Data Fields
Each instance contains:
* **question**: Query question
* **context**: Context text to obtain the answer from
* **document_id** The document ID of the context text
* **answer**: Dictionary containing the answer string and the start index
### Bias, Risks, and Limitations
This dataset is the result of machine translation.
### Licensing Information
The dataset is licensed under the [Apache License 2.0]
##### Point of Contact:
[[email protected]]([email protected])
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