Update README.md

README.md

@@ -40,15 +40,8 @@ tokens per word indicates more efficient tokenization.
 
 ![SamAI tokenizer benchmark results](assets/SamAI-Tokenizer-Benchmark.png)
 
-| Benchmark | SamAI tokens/word | Best tokenizer | Best tokens/word | SamAI rank |
-| --- | ---: | --- | ---: | ---: |
-| Arabic Dialects | **1.3043** | ALLaM-7B | 1.2812 | **2** |
-| ArabicMMLU | **2.4838** | ALLaM-7B | 1.9943 | **5** |
-| MASSIVE Arabic | **1.2549** | ALLaM-7B | 1.1939 | **2** |
-| MLQA Arabic | **1.4397** | **SamAI-Tokenizer** | **1.4397** | **1** |
-
 Across the equal-weight macro average of the four benchmarks, SamAI-Tokenizer
-ranked second among 15 successfully tested tokenizers at **1.6207 tokens per
+ranked **second** among 15 successfully tested tokenizers at **1.6207 tokens per
 word**.
 
 | Rank | Tokenizer | Mean tokens/word | Extra tokens versus SamAI |