Update README.md

README.md

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 ### Dataset Summary
 
-[Data-centric AI](https://datacentricai.org) principles have become increasingly important for real-world use cases. At [Renumics](https://renumics.com/?hf-dataset-card=food101-enriched) we believe that classical benchmark datasets and competitions should be extended to reflect this development. 
+📊 [Data-centric AI](https://datacentricai.org) principles have become increasingly important for real-world use cases.  
+At [Renumics](https://renumics.com/?hf-dataset-card=food101-enriched) we believe that classical benchmark datasets and competitions should be extended to reflect this development. 
 
-This is why we are publishing benchmark datasets with application-specific enrichments (e.g. embeddings, baseline results, uncertainties, label error scores). We hope this helps the ML community in the following ways:
+🔍 This is why we are publishing benchmark datasets with application-specific enrichments (e.g. embeddings, baseline results, uncertainties, label error scores). We hope this helps the ML community in the following ways:
 1. Enable new researchers to quickly develop a profound understanding of the dataset.
 2. Popularize data-centric AI principles and tooling in the ML community.
 3. Encourage the sharing of meaningful qualitative insights in addition to traditional quantitative metrics.
 
-This dataset is an enriched version of the [Food101 Data Set](https://data.vision.ee.ethz.ch/cvl/datasets_extra/food-101/).
+📚 This dataset is an enriched version of the [Food101 Data Set](https://data.vision.ee.ethz.ch/cvl/datasets_extra/food-101/).
 
 ### Explore the Dataset