---
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:
[pangriziotis@gmail.com](pangriziotis@gmail.com)