Update README.md

README.md

@@ -6,10 +6,15 @@ license: cc-by-nc-sa-4.0
 # Dataset Description
 
 This dataset contains parallel documents (i.e., titles & abstracts) extracted from academic theses, dissertations, and other scientific texts.
+
 In the original [paper](https://aclanthology.org/2022.lrec-1.284.pdf), we've extracted 9.17M sentence pairs in 31 language pairs from 86 repositories.
+
 This version has been created through further processing and filtering to extract parallel **documents** instead of parallel **sentences**. 
+
 To do this, we kept only the parallel titles and abstracts of academic records with high (mean) alignment scores by also using other filters (e.g., word ratio, non-empty abstracts, etc.).
 
+Please note that this dataset will keep getting updated to include *more language pairs*, per the original paper.
+
 <br/>
 
 Table 1: Number of parallel documents per language pair
@@ -25,8 +30,6 @@ Table 1: Number of parallel documents per language pair
 
 <br/>
 
-Please note that this dataset will keep getting updated to include more language pairs, per the original paper.
-
 # Related Datasets
 
 The original datasets can be found in ELRC-SHARE:
@@ -36,10 +39,12 @@ The original datasets can be found in ELRC-SHARE:
 
 # Citation
 
+```
 @inproceedings{roussis2022scipar,
   title={SciPar: A collection of parallel corpora from scientific abstracts},
   author={Roussis, Dimitrios and Papavassiliou, Vassilis and Prokopidis, Prokopis and Piperidis, Stelios and Katsouros, Vassilis},
   booktitle={Proceedings of the Thirteenth Language Resources and Evaluation Conference},
   pages={2652--2657},
   year={2022}
-}
+}
+```