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Text · dataset · 2022

AhmedSSoliman/QRCD

Listed in Hugging Face Datasets

Description

This dataset is presented for the task of Answering Questions on the Holy Qur'an. sites.google.com/view/quran-qa-2022 QRCD (Qur'anic Reading Comprehension Dataset) is composed of 1,093 tuples of question-passage pairs that are coupled with their extracted answers to constitute 1,337 question-passage-answer triplets. It is split into training (65%), development (10%), and test (25%) sets. QRCD is a JSON Lines (JSONL) file; each line is a JSON object that comprises a question-passage… See the full description on the dataset page: huggingface.co/datasets/AhmedSSoliman/QRCD.

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Where it is published

Catalogue records · 1

Topics

Stated by source
text
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsAhmedSSoliman/QRCD14 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:textsource · Hugging Faceconnector:huggingface@1.0.0
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0