Update README.md

README.md

@@ -20,9 +20,9 @@ datasets:
 
 **Dataset**
 
-The dataset is a translation to Spanish of alpaca_data_cleaned.json (a clean version of the Alpaca dataset made at Stanford) using OpenAI's gpt-3.5-turbo model. It was translated using a full-sample prompt instead of per strings, which resulted in more coherent tuples of (instruction, input, output) and costed around $60.0.
-Dataset link: ![here](https://huggingface.co/datasets/bertin-project/alpaca-spanish)
+The dataset is a translation to Spanish of alpaca_data_cleaned.json (a clean version of the Alpaca dataset made at Stanford) using OpenAI's gpt-3.5-turbo model. This translation was made by bertin-project. It was translated using a full-sample prompt instead of per strings, which resulted in more coherent tuples of (instruction, input, output).
+Dataset link: [here](https://huggingface.co/datasets/bertin-project/alpaca-spanish)
 
 **Finetuning details**
 
-To fine-tune the FALCON-7B model we used the ![following code](https://github.com/AdrianBZG/LLM-distributed-finetune) to run it on a distributed cluster on AWS. You are free to use such code as a fingerprint to finetune any model as you please, as it is easily customizable.
+To fine-tune the FALCON-7B model we used the [following code](https://github.com/AdrianBZG/LLM-distributed-finetune) to run it on a distributed cluster on AWS. You are free to use such code as a fingerprint to finetune any model as you please, as it is easily customizable.