Update README.md

README.md

@@ -1,33 +1,29 @@
----
-license: apache-2.0
-language:
-- en
-- de
-- fr
-- es
-- it
-- sv
-- fi
-- pl
-- cs
-- lv
-- zh
-- ja
-- ko
-- ru
-- uk
-- be
-- kk
----
-This dataset based on https://www.kaggle.com/code/danofer/reddit-comments-scores-nlp/
+license: apache-2.0  
+datasets:  
+  - ifmain/text-moderation-410K  
+language:  
+  - en  
+  - de  
+  - fr  
+  - es  
+  - it  
+  - sv  
+  - fi  
+  - pl  
+  - cs  
+  - lv  
+  - zh  
+  - ja  
+  - ko  
+  - ru  
+  - uk  
+  - be  
+  - kk  
 
-This dataset includes translations of 90,000 Reddit comments into 17 languages (English to 16 languages):
-Belarusian, Czech, German,
-English, Spanish, Finnish,
-French, Italian, Japanese,
-Kazakh, Korean, Latvian,
-Polish, Russian, Swedish,
-Ukrainian, and Chinese.
+This dataset is based on [Kaggle](https://www.kaggle.com/code/danofer/reddit-comments-scores-nlp/).  
+It represents a version of ([@ifmain/text-moderation-410K](https://huggingface.co/datasets/ifmain/text-moderation-410K)) that has been cleansed of semantically similar values and normalized to a 50/50 ratio of negative and neutral entries.
+
+The dataset contains 1,547,000 entries (91K * 17 languages).  
+Before use, augmentation is recommended! (e.g., character substitution to bypass moderation). For augmentation, you can use [@ifmain/StringAugmentor](https://github.com/ifmain/StringAugmentor).  
 
-It contains 50% regular comments and 50% highly negative ones.
 Enjoy using it!