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Table · dataset · 2022

COVID-QA

Listed in Hugging Face Datasets

Dataset Card for COVID-QA Dataset

Description

Summary

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. A total of 147 scientific articles from the CORD-19 dataset were annotated by 15 experts. Supported Tasks and Leaderboards [More Information Needed] Languages The text in the dataset is in English.

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Dataset Structure Data… See the full description on the dataset page: huggingface.co/datasets/deepset/covid_qa_deepset.

Links

Where it is published

Catalogue records · 1

Topics

Stated by source
question answering · tabular · text
Inferred from text
Text 75%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsdeepset/covid_qa_deepset15 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:tabularsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:textenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (75%)
concepts[task].hf_task:question-answeringsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0