NoticIA: A Clickbait Article Summarization Dataset in Spanish

Iker García-Ferrero, Begoña Altuna
4/11/2024
cs.CLcs.AI

No official code found. Best implementation: ikergarcia1996/NoticIA (4 stars, Apache-2.0, last commit 2024-10-22).

Abstract

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.

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Code Implementations(1)

ikergarcia1996/NoticIACommunity100%
Apache-2.0

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.

41Shell, PythonMar 2, 20241 years agoApache-2.0

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Cite this paper

@article{garcaferrero2024noticia,
  title  = {NoticIA: A Clickbait Article Summarization Dataset in Spanish},
  author = {Iker García-Ferrero and Begoña Altuna},
  year   = {2024},
  eprint = {2404.07611},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2404.07611v2}
}

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