update url

README.md

@@ -47,7 +47,7 @@ This table tracks the performance of our model on various tasks over time. The m
 
 # Tokenizer
 Our tokenizer was trained from scratch on 500,000 samples from the Openwebtext dataset. 
-For variation, we also included 500,000 samples from our [GitHub-CC0](KoalaAI/GitHub-CC0) dataset, in the hopes that code would be tokenized properly despite our small vocab_size.
+For variation, we also included 500,000 samples from our [GitHub-CC0](https://huggingface.co/KoalaAI/GitHub-CC0) dataset, in the hopes that code would be tokenized properly despite our small vocab_size.
 Like Mistral, we use the LlamaTokenizerFast as our tokenizer class; in legacy mode.
 
 ## Tokenization Analysis