task_categories:summarization language:fr license:apache-2.0 region:us
---
license: apache-2.0
task_categories:
- summarization
language:
- fr
pretty_name: SciELO
---


# LoRaLay: A Multilingual and Multimodal Dataset for Long Range and Layout-Aware Summarization 

A collaboration between [reciTAL](https://recital.ai/en/), [MLIA](https://mlia.lip6.fr/) (ISIR, Sorbonne Université), [Meta AI](https://ai.facebook.com/), and [Università di Trento](https://www.unitn.it/)

## SciELO dataset for summarization

SciELO is a dataset for summarization of research papers written in Spanish and Portuguese, for which layout information is provided.

### Data Fields

- `article_id`: article id
- `article_words`: sequence of words constituting the body of the article
- `article_bboxes`: sequence of corresponding word bounding boxes
- `norm_article_bboxes`: sequence of corresponding normalized word bounding boxes
- `abstract`: a string containing the abstract of the article
- `article_pdf_url`: URL of the article's PDF

### Data Splits

This dataset has 3 splits: _train_, _validation_, and _test_. 

| Dataset Split | Number of Instances (ES/PT) |
| ------------- | ----------------------------|
| Train         |   20,853 / 19,407           |
| Validation    |    1,158 / 1,078            |
| Test          |    1,159 / 1,078            |


## Citation

``` latex
@article{nguyen2023loralay,
  title={LoRaLay: A Multilingual and Multimodal Dataset for Long Range and Layout-Aware Summarization},
  author={Nguyen, Laura and Scialom, Thomas and Piwowarski, Benjamin and Staiano, Jacopo},
  journal={arXiv preprint arXiv:2301.11312},
  year={2023}
}
```