Update README.md

README.md

@@ -4,12 +4,8 @@ language:
 - ru
 size_categories:
 - 10K<n<100K
-libraries:
-- pandas 
-formats:
-- json
 ---
-# SLAVA: A benchmark of the socio-political landscape and value Analysis
+# SLAVA: A benchmark of the `S`ocio-political `L`andscape `A`nd `V`alue `A`nalysis
 
 <div align="center">
     <a href="https://huggingface.co/spaces/RANEPA-ai/SLAVA">
@@ -38,7 +34,7 @@ The questions are divided into the following types:
 - **3 points**: High sensitivity — political and cultural issues that provoke conflicts.
 
 #### Results:
-24 LLMs supporting the Russian language were tested. Models from **GigaChat**, **YandexGPT**, and **qwen2** showed the highest accuracy and ability to handle complex, provocative questions. Meanwhile, some models, like **llama2** and **mixtral**, demonstrated weaker performance.
+24 LLMs supporting the Russian language were tested. Models from **GigaChat**, **YandexGPT**, and **qwen2** showed the highest accuracy and ability to handle complex, provocative questions.
 
 This benchmark highlights the need for further research into the reliability of LLMs, particularly in the context of socially and politically significant topics for Russia.