Update README.md

README.md

@@ -64,7 +64,7 @@ task_ids:
 
 The Catalan Textual Corpus is a 1760-million-token web corpus of Catalan built from several sources.
 
-It consists of 1.758.388.896 tokens, 73.172.152 sentences and 12.556.365 documents. Documents are separated by single new lines. These boundaries have been preserved as long as the license allowed it.
+It consists of 1,758,388,896 tokens, 73,172,152 sentences and 12,556,365 documents. Documents are separated by single new lines. These boundaries have been preserved as long as the license allowed it.
 
 ### Supported Tasks and Leaderboards
 
@@ -100,8 +100,8 @@ We created this corpus to contribute to the development of language models in Ca
 
 #### Initial Data Collection and Normalization
 
-The Catalan Textual Corpus is a 1760-million-token web corpus of Catalan built from several sources: existing corpora such as DOGC, CaWac (non-dedup version), Oscar (unshuffled version), Open Subtitles, Catalan Wikipedia; and three brand new crawlings: the Catalan General Crawling, obtained by crawling the 500 most popular .cat and .ad domains; the Catalan Government Crawling, obtained by crawling the .gencat domain and subdomains, belonging to the Catalan Government; and the ACN corpus with 220k news items from March 2015 until October 2020, crawled from the Catalan News Agency.
-For preprocessing we used [Corpus-Cleaner](https://github.com/TeMU-BSC/corpus-cleaner-acl),  a modular Python-based toolkit to clean raw text corpora through generator pipelines.
+The Catalan Textual Corpus is a 1760-million-token web corpus of Catalan built from several sources: existing corpora such as DOGC, CaWac (non-dedup version), Oscar (unshuffled version), Open Subtitles, Catalan Wikipedia, and three brand new crawlings: the Catalan General Crawling, obtained by crawling the 500 most popular .cat and .ad domains; the Catalan Government Crawling, obtained by crawling the .gencat domain and subdomains, belonging to the Catalan Government; and the ACN corpus with 220k news items from March 2015 until October 2020, crawled from the Catalan News Agency.
+For preprocessing we used [Corpus-Cleaner](https://github.com/TeMU-BSC/corpus-cleaner-acl), a modular Python-based toolkit to clean raw text corpora through generator pipelines.
 
 #### Who are the source language producers?
 
@@ -143,7 +143,7 @@ We are aware that since the data comes from unreliable web pages and multilingua
 
 Ona de Gibert Bonet, Barcelona Supercomputing Center (ona.degibert@bsc.es)
 
-This work was funded by the Departament de la Vicepresidència i de Polítiques Digitals i Territori de la Generalitat de Catalunya within the framework of the Aina project.
+This work was funded by the Departament de la Vicepresidència i de Polítiques Digitals i Territori de la Generalitat de Catalunya within the framework of Projecte AINA.
 
 ### Licensing Information