| 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-el_small/COVID-QA-el_small.json | |
| 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]) | |