Update README.md

README.md

@@ -43,7 +43,8 @@ task_ids: []
 
 ### Dataset Summary
 
-The CA-PT Parallel Corpus is a Catalan-Portuguese dataset of **9.892.953** parallel sentences. The dataset was created to support Catalan NLP tasks, e.g., Machine Translation.
+The CA-PT Parallel Corpus is a Catalan-Portuguese dataset of **9.892.953** parallel sentences. The dataset was created to support Catalan NLP tasks, e.g., 
+Machine Translation.
 
 ### Supported Tasks and Leaderboards
 
@@ -57,9 +58,9 @@ The texts in the dataset are in Catalan and Portuguese.
 
 Two separated txt files are provided with the sentences sorted in the same order:
 
-- ca-pt_2023_09_01_full.ca: contains 9.892.953 Catalan sentences
+- ca-pt_2023_09_01_full.ca: contains 9.892.953 Catalan sentences.
 
-- ca-pt_2023_09_01_full.pt: contains 9.892.953 Portuguese sentences
+- ca-pt_2023_09_01_full.pt: contains 9.892.953 Portuguese sentences.
 
 ### Data Splits
 
@@ -88,13 +89,13 @@ The dataset is a combination of the following authentic datasets:
 All corpora except Europarl were collected from [Opus](https://opus.nlpl.eu/).
 The Europarl corpus is a synthetic parallel corpus created from the original Spanish-Catalan corpus by [SoftCatalà](https://github.com/Softcatala/Europarl-catalan).
 
-The remaining **3.733.322** sentences are synthetic parallel data created from a random sampling of the Spanish-Portuguese corpora available on [Opus](https://opus.nlpl.eu/) and translated into Catalan using the PlanTL es-ca model
+The remaining **3.733.322** sentences are synthetic parallel data created from a random sampling of the Spanish-Portuguese corpora available on [Opus](https://opus.nlpl.eu/) and translated into Catalan using the PlanTL es-ca model.
 
 ### Data preparation
 
  All datasets are deduplicated and filtered to remove any sentence pairs with a cosine similarity of less than 0.75.
  This is done using sentence embeddings calculated using [LaBSE](https://huggingface.co/sentence-transformers/LaBSE).
- The filtered datasets are then concatenated to form a final corpus of **9.892.953** parallel sentences and before training the punctuation is normalized using a modified version of the join-single-file.py script from [SoftCatalà](https://github.com/Softcatala/nmt-models/blob/master/data-processing-tools/join-single-file.py)
+ The filtered datasets are then concatenated to form a final corpus of **9.892.953** parallel sentences and before training the punctuation is normalized using a modified version of the join-single-file.py script from [SoftCatalà](https://github.com/Softcatala/nmt-models/blob/master/data-processing-tools/join-single-file.py).
 
 ### Personal and Sensitive Information
 
@@ -118,16 +119,16 @@ The dataset contains data of a general domain. Application of this dataset in mo
 ## Additional Information
 
 ### Author
-Language Technologies Unit (LangTech) at the Barcelona Supercomputing Center
+Language Technologies Unit (LangTech) at the Barcelona Supercomputing Center.
 
 ### Contact information
 For further information, please send an email to langtech@bsc.es.
 
 ### Copyright
-Copyright Language Technologies Unit at Barcelona Supercomputing Center (2023)
+Copyright Language Technologies Unit at Barcelona Supercomputing Center (2023).
 
 ### Licensing information
-This work is licensed under a [Attribution-NonCommercial-ShareAlike 4.0 International](https://creativecommons.org/licenses/by-nc-sa/4.0/)
+This work is licensed under a [Attribution-NonCommercial-ShareAlike 4.0 International](https://creativecommons.org/licenses/by-nc-sa/4.0/).
 
 ### Funding
 This work was funded by the [Departament de la Vicepresidència i de Polítiques Digitals i Territori de la Generalitat de Catalunya](https://politiquesdigitals.gencat.cat/ca/inici/index.html#googtrans(ca|en) within the framework of [Projecte AINA](https://politiquesdigitals.gencat.cat/ca/economia/catalonia-ai/aina).