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--- |
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language: |
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- el |
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license: |
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- apache-2.0 |
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multilinguality: |
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- monolingual |
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size_categories: |
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- 1K< |
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source_datasets: |
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- deepset/covid_qa_deepset |
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task_categories: |
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- question-answering |
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task_ids: |
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- closed-domain-qa |
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- extractive-qa |
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pretty_name: COVID-QA-el-small |
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dataset_info: |
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config_name: COVID-QA-el-small |
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features: |
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- name: document_id |
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dtype: int32 |
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- name: context |
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dtype: string |
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- name: question |
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dtype: string |
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- name: id |
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dtype: int32 |
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- name: answers |
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sequence: |
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- name: text |
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dtype: string |
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- name: answer_start |
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dtype: int32 |
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splits: |
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- name: train |
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num_bytes: 6733273 |
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num_examples: 826 |
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download_size: 7060096 |
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dataset_size: 6733273 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: "COVID-QA-el_small.json" |
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--- |
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# Dataset Card for COVID-QA-el-small |
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### Dataset Summary |
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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. |
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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. |
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### Data Fields |
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Each instance contains: |
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* **question**: Query question |
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* **context**: Context text to obtain the answer from |
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* **document_id** The document ID of the context text |
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* **answer**: Dictionary containing the answer string and the start index |
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### Bias, Risks, and Limitations |
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This dataset is the result of machine translation. |
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### Licensing Information |
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The dataset is licensed under the [Apache License 2.0] |
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##### Point of Contact: |
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[pangriziotis@gmail.com](pangriziotis@gmail.com) |
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