Update README.md

README.md

@@ -42,15 +42,13 @@ Refer to microsoft/phi-2 model card for recommended prompt format.
 
 ### Training Data
 
-Dataset related to electrical engineering: STEM-AI-mtl/Electrical-engineering
+Dataset related to electrical engineering: [STEM-AI-mtl/Electrical-engineering](https://huggingface.co/datasets/STEM-AI-mtl/Electrical-engineering)
 It is composed of queries, 65% about general electrical engineering, 25% about Kicad (EDA software) and 10% about Python code for Kicad's scripting console.
 
-Combined with
-
-Dataset related to STEM and NLP: garage-bAInd/Open-Platypus
+In additionataset related to STEM and NLP: [garage-bAInd/Open-Platypus](https://huggingface.co/datasets/garage-bAInd/Open-Platypus)
 
 ### Training Procedure 
-LoRa script:  https://github.com/STEM-ai/Phi-2/raw/4eaa6aaa2679427a810ace5a061b9c951942d66a/LoRa.py
+[LoRa script](https://github.com/STEM-ai/Phi-2/raw/4eaa6aaa2679427a810ace5a061b9c951942d66a/LoRa.py)
 
 A LoRa PEFT was performed on a 48 Gb A40 Nvidia GPU.
 
@@ -61,6 +59,6 @@ William Harbec
 
 ### Inference example
 
-Standard: https://github.com/STEM-ai/Phi-2/blob/4eaa6aaa2679427a810ace5a061b9c951942d66a/chat.py
+[Standard](https://github.com/STEM-ai/Phi-2/blob/4eaa6aaa2679427a810ace5a061b9c951942d66a/chat.py)
 
-GPTQ format: https://github.com/STEM-ai/Phi-2/blob/ab1ced8d7922765344d824acf1924df99606b4fc/chat-GPTQ.py
+[GPTQ format](https://github.com/STEM-ai/Phi-2/blob/ab1ced8d7922765344d824acf1924df99606b4fc/chat-GPTQ.py)