added blog

README.md

@@ -95,9 +95,9 @@ This collection is made up of five datasets: [AkademikDerlem](https://huggingfac
 
 Each of the subcorpus has their own HF repos. The cleaning of `AkademikDerlem` mostly focuses of fixing OCR mistakes.
 The cleaning pipelines of `Temiz mC4` and `Temiz OSCAR` focus on filtering low quality content, such as ads, repetetive content and adult content. 
-`OzenliDerlem`'s text had already been chosen from high quality content promising websites, hence we did a minimal cleaning. `ForumSohbetleri` was cleaned carefully especially for undesired characters, without losing emoji characters.
+`OzenliDerlem`'s text had already been chosen from high quality content promising websites, yet we still did some rounds of cleaning for quality. `ForumSohbetleri` was cleaned carefully especially for undesired characters, without losing emoji characters.
 
-For more details about the cleaning pipeline, compilation process and more of Bella Turca; please refer to [the publication](https://link.springer.com/chapter/10.1007/978-3-031-70563-2_16).
+For more details about the cleaning pipeline, compilation process and more of Bella Turca; please refer to [the publication](https://link.springer.com/chapter/10.1007/978-3-031-70563-2_16) as well as the [blog post](https://turkish-nlp-suite.github.io/2025/10/05/bellaturca/).
 
 
 | Dataset | num instances | size | num of words|