fix: names of files

app/blog/(posts)/create-your-first-dataset-with-jaqpotpy/page.mdx

@@ -6,7 +6,7 @@ export const metadata = {
     textPreview: 'Learn how to create datasets with jaqpotpy. This guide covers simple numeric data, SMILES-based features, and task setup for regression or classification.'
 };
 
-![Dataset creation](/create_dataset.png)
+![Dataset creation](/create_dataset.jpg)
 
 In the previous post, we showed how to train and deploy a classification model on Jaqpot. Now, we’ll dive deeper into creating and working with datasets using `jaqpotpy`. You’ll learn how to prepare simple datasets, generate molecular descriptors, and set up tasks for regression and classification. We’ll also explain SMILES (Simplified Molecular Input Line Entry System), a compact way of representing molecules as strings, and how these can be converted into useful features (molecular descriptors) for machine learning models. Molecular descriptors capture important properties of molecules, such as their size, shape, or electronic properties, enabling their use in predictive modeling tasks.