summary correction

README.md

@@ -22,6 +22,10 @@ As shown in the sections below, this dataset can be loaded into Argilla as expla
 
 ### Dataset Summary
 
+It contains the raw version of [go_emotions](https://huggingface.co/datasets/go_emotions) as a `FeedbackDataset`. Each of the original questions are defined a single
+`FeedbackRecord` and contain the `responses` from each annotator. The final labels in the *simplified* version of the dataset have been used as `suggestions`, so that we
+can use this dataset to showcase the metrics related to the agreement between annotators as well as the `responses` vs `suggestions` metrics.
+
 This dataset contains:
 
 * A dataset configuration file conforming to the Argilla dataset format named `argilla.yaml`. This configuration file will be used to configure the dataset when using the `FeedbackDataset.from_huggingface` method in Argilla.
@@ -30,10 +34,6 @@ This dataset contains:
 
 * The [annotation guidelines](#annotation-guidelines) that have been used for building and curating the dataset, if they've been defined in Argilla.
 
-It contains the raw version of [go_emotions](https://huggingface.co/datasets/go_emotions) as a `FeedbackDataset`. Each of the original questions are defined a single
-`FeedbackRecord` and contain the `responses` from each annotator. The final labels in the *simplified* version of the dataset have been used as `suggestions`, so that we
-can use this dataset to showcase the metrics related to the agreement between annotators as well as the `responses` vs `suggestions` metrics.
-
 ### Load with Argilla
 
 To load with Argilla, you'll just need to install Argilla as `pip install argilla --upgrade` and then use the following code: