summarization_gl

Dataset Summary

summarization_gl is a Galician summarization dataset built from news articles and automatically extracted summaries from three Galician news sources:

• Nós Diario
• Que Pasa na Costa
• Praza Pública

The dataset contains 80,829 instances in total. Each instance includes a news text and its associated summary.

Dataset Description

summarization_gl consists of pairs of:

• summary: an automatically extracted summary
• text: the corresponding full news article

The dataset includes materials from different news outlets with varying summary quality.

Dataset Structure

The dataset is distributed in JSONL format and is split into:

• train: 56,600 instances
• validation: 8,080 instances
• test: 16,200 instances

The data in each split has been shuffled.

Each instance contains the following fields:

• id: identifier of the summary-text pair; it typically indicates the news source and an internal numeric ID
• summary: summary of the news article
• text: full news article

Example

{
  "id": "NOS_58435",
  "summary": "O artista coruñés Pepe Galán leva desde os anos 70 vinculado o mundo da arte galega. Recoñecido popularmente polas súas esculturas e intervencións, cando se lle pregunta, prefire ser considerado como un \"artista multidisciplinar\" máis que cinguirse a unha única etiqueta como a de \"pintor\" ou \"escultor\".",
  "text": "Indo polas rúas da casa ao taller e do taller á casa, desprázome co ritmo de liturxia aprendida sobre o empedrado e o formigón... onde case sempre atopo algún dato, algunha novidade... Chega a ser unha relación familiar coa veciñanza e a cidade. Pola mañá gozo da paisaxe urbana mais non podo evitar ser crítico co deseño do espazo común..."
}

Intended Uses

This dataset can be used for:

• fine-tuning summarization models for Galician
• instruction tuning for summarization tasks
• evaluation of summarization systems in Galician
• research on low-resource summarization
• experiments on summary quality, faithfulness, and domain adaptation in journalistic text

Limitations

• The summaries were extracted automatically and are not uniformly high-quality.
• Summary quality varies substantially depending on the source.
• Many examples from Nós Diario are closer to article introductions or interview leads than to full summaries.
• Many examples from Que Pasa na Costa are very short and may overemphasize the most click-attractive part of the article rather than the overall content.
• The Praza Pública subset is of better quality, but the dataset as a whole is heterogeneous.
• Because of this variability, the dataset may be more suitable for controlled experiments, filtering, or source-aware training than for direct use as a uniformly curated gold-standard summarization benchmark.

Data Format

The dataset is provided in JSONL format, with one JSON object per line.

Main fields:

• summary (str): automatically extracted summary
• text (str): corresponding news article
• id (str, when available): identifier of the example

Acknowledgements

This dataset was compiled within the Nós Project, funded by the Ministerio para la Transformación Digital y de la Función Pública - Funded by EU – NextGenerationEU within the framework of the project ILENIA with reference 2022/TL22/00215336.