NoticIA: A Clickbait Article Summarization Dataset in Spanish

Fuente: arXiv
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Main Authors: García-Ferrero, Iker, Altuna, Begoña
Format: Preprint
Published: 2024
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author García-Ferrero, Iker
Altuna, Begoña
author_facet García-Ferrero, Iker
Altuna, Begoña
contents We present NoticIA, a dataset consisting of 850 Spanish news articles featuring prominent clickbait headlines, each paired with high-quality, single-sentence generative summarizations written by humans. This task demands advanced text understanding and summarization abilities, challenging the models' capacity to infer and connect diverse pieces of information to meet the user's informational needs generated by the clickbait headline. We evaluate the Spanish text comprehension capabilities of a wide range of state-of-the-art large language models. Additionally, we use the dataset to train ClickbaitFighter, a task-specific model that achieves near-human performance in this task.
format Preprint
id arxiv_https___arxiv_org_abs_2404_07611
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle NoticIA: A Clickbait Article Summarization Dataset in Spanish
García-Ferrero, Iker
Altuna, Begoña
Computation and Language
Artificial Intelligence
We present NoticIA, a dataset consisting of 850 Spanish news articles featuring prominent clickbait headlines, each paired with high-quality, single-sentence generative summarizations written by humans. This task demands advanced text understanding and summarization abilities, challenging the models' capacity to infer and connect diverse pieces of information to meet the user's informational needs generated by the clickbait headline. We evaluate the Spanish text comprehension capabilities of a wide range of state-of-the-art large language models. Additionally, we use the dataset to train ClickbaitFighter, a task-specific model that achieves near-human performance in this task.
title NoticIA: A Clickbait Article Summarization Dataset in Spanish
topic Computation and Language
Artificial Intelligence
url https://arxiv.org/abs/2404.07611