Update README.md

README.md

@@ -11,7 +11,9 @@ license: cc-by-sa-4.0
 
 ## Model Description
 
-`StableCode-Completion-Alpha-3B` is a 3 billion parameter decoder-only code completion model pre-trained on diverse set of programming languages that topped the stackoverflow developer survey. ## Usage
+`StableCode-Completion-Alpha-3B` is a 3 billion parameter decoder-only code completion model pre-trained on diverse set of programming languages that topped the stackoverflow developer survey. 
+
+## Usage
 The model is intended to do single/multiline code completion from a long context window upto 16k tokens.
 Get started generating code with `StableCode-Completion-Alpha-3B` by using the following code snippet:
 
@@ -38,7 +40,7 @@ print(tokenizer.decode(tokens[0], skip_special_tokens=True))
 
 * **Developed by**: Code.AI Team @ [Stability AI](https://stability.ai/)
 * **Model type**: `StableCode-Completion-Alpha-3B` models are auto-regressive language models based on the transformer decoder architecture.
-* **Language(s)**: English, Code
+* **Language(s)**: Code
 * **Library**: [GPT-NeoX](https://github.com/EleutherAI/gpt-neox)
 * **License**: Model checkpoints are licensed under the Creative Commons license ([CC BY-SA-4.0](https://creativecommons.org/licenses/by-sa/4.0/)). Under this license, you must give [credit](https://creativecommons.org/licenses/by/4.0/#) to Stability AI, provide a link to the license, and [indicate if changes were made](https://creativecommons.org/licenses/by/4.0/#). You may do so in any reasonable manner, but not in any way that suggests the Stability AI endorses you or your use.
 * **Contact**: For questions and comments about the model, please email `[email protected]`
@@ -60,7 +62,7 @@ print(tokenizer.decode(tokens[0], skip_special_tokens=True))
 
 ### Training Dataset
 
-The first pre-training stage relies on 300B tokens sourced from various top programming languages occuring in the stackoverflow developer survey. We then finetune it on a longer context augmentation of `starcoder-data.  
+The first pre-training stage relies on 300B tokens sourced from various top programming languages occuring in the stackoverflow developer survey in the `starcoder-data` dataset. We then finetune it on a longer context augmentation of `starcoder-data` dataset.  
 
 ### Training Procedure