Datasets:
language:
- gl
pretty_name: summarization_gl
license: cc-by-4.0
task_categories:
- summarization
task_ids:
- news-articles-summarization
tags:
- galician
- summarization
- news
- journalism
- low-resource-nlp
- jsonl
size_categories:
- 10K<n<100K
configs:
- config_name: default
data_files:
- split: train
path: train.jsonl
- split: validation
path: validation.jsonl
- split: test
path: test.jsonl
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 summarytext: 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 IDsummary: summary of the news articletext: 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 summarytext(str): corresponding news articleid(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.