NaijaRC: A Multi-choice Reading Comprehension Dataset for Nigerian Languages
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arXiv
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| Auteurs principaux: | , , , , , |
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| Format: | Preprint |
| Publié: |
2023
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| _version_ | 1866913355246075904 |
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| author | Aremu, Anuoluwapo Alabi, Jesujoba O. Abolade, Daud Aguobi, Nkechinyere F. Muhammad, Shamsuddeen Hassan Adelani, David Ifeoluwa |
| author_facet | Aremu, Anuoluwapo Alabi, Jesujoba O. Abolade, Daud Aguobi, Nkechinyere F. Muhammad, Shamsuddeen Hassan Adelani, David Ifeoluwa |
| contents | In this paper, we create NaijaRC: a new multi-choice Reading Comprehension dataset for three native Nigeria languages that is based on high-school reading comprehension examination. We provide baseline results by performing cross-lingual transfer using existing English RACE and Belebele training dataset based on a pre-trained encoder-only model. Additionally, we provide results by prompting large language models (LLMs) like GPT-4. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2308_09768 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | NaijaRC: A Multi-choice Reading Comprehension Dataset for Nigerian Languages Aremu, Anuoluwapo Alabi, Jesujoba O. Abolade, Daud Aguobi, Nkechinyere F. Muhammad, Shamsuddeen Hassan Adelani, David Ifeoluwa Computation and Language In this paper, we create NaijaRC: a new multi-choice Reading Comprehension dataset for three native Nigeria languages that is based on high-school reading comprehension examination. We provide baseline results by performing cross-lingual transfer using existing English RACE and Belebele training dataset based on a pre-trained encoder-only model. Additionally, we provide results by prompting large language models (LLMs) like GPT-4. |
| title | NaijaRC: A Multi-choice Reading Comprehension Dataset for Nigerian Languages |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2308.09768 |