covid_qa_castorini

References:

• Code
• Huggingface

covid_qa_deepset

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:covid_qa_castorini/covid_qa_deepset')

• Description:

COVID-QA is a Question Answering dataset consisting of 2,019 question/answer pairs annotated by volunteer biomedical experts on scientific articles related to COVID-19.

• License: Apache License 2.0
• Version: 1.0.0
• Splits:

Split	Examples
'train'	2019

• Features:

{
    "document_id": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "context": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "is_impossible": {
        "dtype": "bool",
        "id": null,
        "_type": "Value"
    },
    "id": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "answers": {
        "feature": {
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "answer_start": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

covidqa

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:covid_qa_castorini/covidqa')

• Description:

CovidQA is the beginnings of a question answering dataset specifically designed for COVID-19, built by hand from knowledge gathered from Kaggle's COVID-19 Open Research Dataset Challenge.

• License: Apache License 2.0
• Version: 0.2.0
• Splits:

Split	Examples
'train'	27

• Features:

{
    "category_name": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_query": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "keyword_query": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answers": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "title": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "exact_answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

covid_qa_castorini

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:covid_qa_castorini/covid_qa_castorini')

• Description:

CovidQA is the beginnings of a question answering dataset specifically designed for COVID-19, built by hand from knowledge gathered from Kaggle's COVID-19 Open Research Dataset Challenge.

• License: Apache License 2.0
• Version: 0.2.0
• Splits:

Split	Examples
'train'	27

• Features:

{
    "category_name": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question_query": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "keyword_query": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answers": {
        "feature": {
            "id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "title": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "exact_answer": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}