Update README.md

README.md

@@ -1,3 +1,47 @@
 ---
 license: apache-2.0
+task_categories:
+- summarization
+language:
+- en
+pretty_name: arXiv-Lay
 ---
+
+# 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}
+}
+```