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README.md

@@ -12,8 +12,6 @@ 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.
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 Napolab currently includes the following datasets:
 
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@@ -48,6 +46,8 @@ benchmark = napolab["datasets"]
 translated_benchmark = napolab["translations"]
 ```
 
+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.
+
 ## 🤖 Models
 
 We've made several models, fine-tuned on this benchmark, available on Hugging Face Hub: