change paragraph order

README.md

@@ -12,6 +12,8 @@ The **Napolab** is your go-to collection of Portuguese datasets with the followi
 * 👩‍🔧 **Human**: Expert human annotations only. No automatic or unreliable annotations.
 * 🎓 **General**: No domain-specific knowledge or advanced preparation is needed to solve dataset tasks.
 
+Napolab is structured similarly to benchmarks like GLUE and [PLUE](https://github.com/ju-resplande/PLUE). All datasets come with either two or three fields: `'sentence1', 'sentence2', 'label'` or just `'sentence1', 'label'`. To evaluate LLMs using Napolab, you simply need to design prompts to get label predictions from the model.
+
 Napolab currently includes the following datasets:
 
 | | | |
@@ -20,9 +22,6 @@ Napolab currently includes the following datasets:
 |[hatebr](https://huggingface.co/datasets/ruanchaves/hatebr)| [reli-sa](https://huggingface.co/datasets/ruanchaves/reli-sa) | [faquad-nli](https://huggingface.co/datasets/ruanchaves/faquad-nli) |
 |[porsimplessent](https://huggingface.co/datasets/ruanchaves/porsimplessent) | | |
 
-
-Napolab is structured similarly to benchmarks like GLUE and [PLUE](https://github.com/ju-resplande/PLUE). All datasets come with either two or three fields: `'sentence1', 'sentence2', 'label'` or just `'sentence1', 'label'`. To evaluate LLMs using Napolab, you simply need to design prompts to get label predictions from the model.
-
 **💡 Contribute**: We're open to expanding Napolab! Suggest additions in the issues. Plus, if you've evaluated models on this benchmark, we'd love to hear about it, especially results from recent LLMs.
 
 🌍 For broader accessibility, all datasets have translations in **Catalan, English, Galician and Spanish** using the `facebook/nllb-200-1.3B model` via [Easy-Translate](https://github.com/ikergarcia1996/Easy-Translate).