Update README.md

README.md

@@ -80,9 +80,10 @@ Aloe Beta has been tested on the most popular healthcare QA datasets, with and w
 
 The Beta model has been developed to excel in several different medical tasks. For this reason, we evaluated the model in many different medical tasks:
 
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/6620f941eba5274b5c12f83d/FyHZXoXCbc7AzXeCwqS9_.png)
 
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/6620f941eba5274b5c12f83d/uS3qddvQ5iwbI0WZGVFDF.png)
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6620f941eba5274b5c12f83d/0cuipdgiVfa1goX3i-ZTB.png)
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6620f941eba5274b5c12f83d/qm-g6qBoMeX6i_zH-aNrm.png)
 
 We also compared the performance of the model in the general domain, using the OpenLLM Leaderboard benchmark. Aloe-Beta gets competitive results with the current SOTA general models in the most used general benchmarks and outperforms the medical models:
 
@@ -251,7 +252,7 @@ The training set consists of around 1.8B tokens, having 3 different types of dat
   - [HPAI-BSC/MMLU-medical-cot-llama31](https://huggingface.co/datasets/HPAI-BSC/MMLU-medical-cot-llama31)
   - [HPAI-BSC/Polymed-QA](https://huggingface.co/datasets/HPAI-BSC/Polymed-QA)
   - Genstruct data (coming soon)
-- General data. It includes maths, STEM, code, function calling, and instruction of very long instructions.
+- General data. It includes maths, STEM, code, function calling, and instructions with a very long context.
   - [HPAI-BSC/Aloe-Beta-General-Collection](https://huggingface.co/datasets/HPAI-BSC/Aloe-Beta-General-Collection)
 
 #### Training parameters