
# 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/)

## Arxiv-Lay dataset for summarization

ArXiv-Lay is an enhanced version of the arXiv summarization dataset, 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 |
| ------------- | --------------------|
| Train         | 122,189             |
| Validation    | 4,374               |
| Test          | 4,356              |


## 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}
}
```
task_categories:summarization language:en license:apache-2.0 region:us
{"language": ["en"], "license": "apache-2.0", "task_categories": ["summarization"], "pretty_name": "arXiv-Lay"}
TAGS
#task_categories-summarization #language-English #license-apache-2.0 #region-us 

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


A collaboration between reciTAL, MLIA (ISIR, Sorbonne Université), Meta AI, and Università di Trento


Arxiv-Lay dataset for summarization
-----------------------------------


ArXiv-Lay is an enhanced version of the arXiv summarization dataset, 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*.




### 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*.
TAGS
#task_categories-summarization #language-English #license-apache-2.0 #region-us 
 ### 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*.