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README.md

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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: COVID-QA-el-small
+  data_files:
+  - split: train
+    path: covid_qa_deepset/train-*
+  default: true
+---
+
+# 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
+
+### Licensing Information
+The dataset is licensed under the [Apache License 2.0]
+
+
+##### Point of Contact:
+[[email protected]]([email protected])