Update README.md

README.md

@@ -101,11 +101,21 @@ Provide the sizes of each split. As appropriate, provide any descriptive statist
 
 ### Curation Rationale
 
-What need motivated the creation of this dataset? What are some of the reasons underlying the major choices involved in putting it together?
+Due to the lack of a huge amount of text data in lower resource languages - like Farsi - researchers working on these languages were always finding it hard to start to fine-tune such models. This phenomenon can lead to a situation in which the golden opportunity for fine-tuning models is just in hands of a few companies or countries which contributes to the weakening the open science.
+
+The last biggest cleaned merged textual corpus in Farsi is a 70GB cleaned text corpus from a compilation of 8 big data sets that have been cleaned and can be downloaded directly. Our solution to the discussed issues is called naab. It provides 126GB (including more than 224 million sequences and nearly 15 billion words) as the training corpus and 2.3GB (including nearly 11 million sequences and nearly 300 million words) as the test corpus.
 
 ### Source Data
 
-This section describes the source data (e.g. news text and headlines, social media posts, translated sentences,...)
+#### Persian NLP
+
+#### AGP
+
+#### OSCAR-fa
+
+#### Telegram
+
+#### LSCP
 
 #### Initial Data Collection and Normalization