Update README.md

README.md

@@ -9,8 +9,8 @@ inference: false
 ## Summary
 
 Databricks’ `dolly-v2-12b`, an instruction-following large language model trained on the Databricks machine learning platform 
-that is licensed for commercial use. based on `pythia-12b`, Dolly is trained on ~15k instruction/response fine tuning records 
-[`databricks-dolly-15k`](https://huggingface.co/datasets/databricks/databricks-dolly-15k) generated 
+that is licensed for commercial use. Based on `pythia-12b`, Dolly is trained on ~15k instruction/response fine tuning records 
+[`databricks-dolly-15k`](https://github.com/databrickslabs/dolly/tree/master/data) generated 
 by Databricks employees in capability domains from the InstructGPT paper, including brainstorming, classification, closed QA, generation,
 information extraction, open QA and summarization. `dolly-v2-12b` is not a state-of-the-art model, but does exhibit surprisingly 
 high quality instruction following behavior not characteristic of the foundation model on which it is based.  
@@ -20,7 +20,7 @@ high quality instruction following behavior not characteristic of the foundation
 ## Model Overview
 `dolly-v2-12b` is a 12 billion parameter causal language model created by [Databricks](https://databricks.com/) that is derived from 
 [EleutherAI’s](https://www.eleuther.ai/) [Pythia-12b](https://huggingface.co/EleutherAI/pythia-12b) and fine-tuned 
-on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA)
+on a [~15K record instruction corpus](https://github.com/databrickslabs/dolly/tree/master/data) generated by Databricks employees and released under a permissive license (CC-BY-SA)
 
 ## Usage