README.md

---
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 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

```json
{
  "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.