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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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TIGQA: An Expert-Annotated Question-Answering Dataset in Tigrinya

Research datakeyboard_double_arrow_right Dataset 02 Jun 2024 Tigrinya Publisher:Zenodo
Authors: Teklehaymanot, Hailay Kidu;

doi: 10.5281/zenodo.11423986 , 10.5281/zenodo.11423987

TIGQA: An Expert-Annotated Question-Answering Dataset in Tigrinya

Abstract

What is TIGQA? TigQA is an expert-annotated dataset in Tigrinya, a low-resource language spoken by approximately 10 million speakers in Eritrea and the Tigray region of Ethiopia. Our proposed SQuAD-like dataset contains 2,685 question-answer pairs covering 122 diverse topics such as climate, water, and traffic. These pairs are from 537 context paragraphs in publicly accessible Tigrinya and Biology books, with the answers being provided by teachers from the region.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average