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AmaSquad

Domaine:

natural language processing

Type de record:

dataset
Créateur:
neb
Hôte:
AmaSQuAD is a synthetic dataset created by translating the SQuAD 2.0 dataset into Amharic using a novel translation framework. The dataset addresses key challenges, including: Misalignment between translated questions and answers. Presence of multiple answers in the translated context.

Visit

huggingface.co

Tasks

question answering

Languages

Amharic

Licenses

apache-2.0

Similaires

AmaSQuAD: A Benchmark for Amharic Extractive Question Answering

AmaSQuAD: A Benchmark for Amharic Extractive Question Answering

This research presents a novel framework for translating extractive question-answering datasets into