Update README.md

README.md

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 # 🌮 TACO: Learning Multi-modal Action Models with Synthetic Chains-of-Thought-and-Action
 
-<h3 align="left"> <a href="https://taco-project.github.io/">🌐 Website</a> | <a href="https://arxiv.org/pdf/2412.05479">📑 Arxiv</a> | <a href="https://huggingface.co/collections/Salesforce/cota-datasets-675333e57dd34a4adc5f3ff4">🤗 Datasets</a> 
+<h3 align="left"> <a href="https://taco-project.github.io/">🌐 Website</a> | <a href="https://arxiv.org/pdf/2412.05479">📑 Arxiv</a> | <a href="https://github.com/SalesforceAIResearch/CoTA">💻 Code</a>| <a href="https://huggingface.co/collections/Salesforce/cota-datasets-675333e57dd34a4adc5f3ff4">🤗 Datasets</a> 
     
 <h5 align="left"> If you like our project or are interested in its updates, please star us :) Thank you! ⭐ </h2>
 
@@ -75,7 +75,7 @@ The intended use of this dataset is to finetune multi-modal language models to p
 
 <!-- This section describes suitable use cases for the dataset. -->
 
-You can directly use this dataset to train multi-modal language models with the Mantis codebase. To train LLaVA-OneVision models, please use [cota-llava](https://huggingface.co/collections/Salesforce/taco-models-and-datasets-675333e57dd34a4adc5f3ff4) in the [collection](https://huggingface.co/collections/Salesforce/taco-models-and-datasets-675333e57dd34a4adc5f3ff4).
+You can directly use this dataset to train Mantis-based models with our [codebase](https://github.com/SalesforceAIResearch/TACO). To train LLaVA-OneVision models, please use ```cota-llava``` in the [collection](https://huggingface.co/collections/Salesforce/cota-datasets-675333e57dd34a4adc5f3ff4).
 To train other multi-modal language models, you might need to adapt the conversation format to work for your particular models. 
 
 ### Out-of-Scope Use