Update README.md

README.md

@@ -21,6 +21,9 @@ Large Language Models (LLMs) are showing emerging abilities, and one of the late
 reasoning in question answering on tabular data. Although there are some available datasets to assess question
 answering systems on tabular data, they are not large and diverse enough to evaluate this new ability of LLMs.
 To this end, we provide a corpus of 65 real world datasets, with 3,269,975 and 1615 columns in total, and 1300 questions to evaluate your models for the task of QA over Tabular Data.
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+## 📚 Datasets
 By clicking on each name in the table below, you will be able to explore each dataset.
 
 |    | Name                           |   Rows |   Cols | Domain                     | Source (Reference)                                                                                                                |
@@ -118,7 +121,7 @@ In the table below you can see all the data types assigned to each column, as we
 | list[category] | 112     | [apple, orange, banana] |
 | list[url]      | 8       | [google.com, apple.com] |
 
-### Reference
+## 🔗 Reference
 
 If you use this resource, please use the following reference