Update README.md

README.md

@@ -16,6 +16,15 @@ task_ids:
 - multi-class-image-classification
 ---
 
+## Dataset Description
+
+- **Homepage:** [CUB 200 2011](http://www.vision.caltech.edu/datasets/cub_200_2011/)
+- **Repository:** [Caltech Vision Lab](http://www.vision.caltech.edu/datasets/cub_200_2011/)
+- **Paper:** [The Caltech-UCSD Birds-200-2011 Dataset](https://authors.library.caltech.edu/27452/1/CUB_200_2011.pdf)
+- **Leaderboard:** [Paperswithcode](https://paperswithcode.com/dataset/cub-200-2011)
+- **Point of Contact:** [Catherine Wah](https://scholar.google.com/citations?user=rCDdLUsAAAAJ&hl=en)
+
+  
 # CC6204: Hackaton Deep Learning 2022
 
 
@@ -45,15 +54,7 @@ Ambas estrategias nos permiten lidiar con los recursos limitados que tenemos, pe
 ## Métrica de Evaluación
 
 La métrica que se debe reportar es el accuracy en conjunto de test.
-
-## Dataset Description
-
-- **Homepage:** [CUB 200 2011](http://www.vision.caltech.edu/datasets/cub_200_2011/)
-- **Repository:** http://www.vision.caltech.edu/datasets/cub_200_2011/
-- **Paper:** [The Caltech-UCSD Birds-200-2011 Dataset](https://authors.library.caltech.edu/27452/1/CUB_200_2011.pdf)
-- **Leaderboard:** [Paperswithcode](https://paperswithcode.com/dataset/cub-200-2011)
-- **Point of Contact:** [Catherine Wah](https://scholar.google.com/citations?user=rCDdLUsAAAAJ&hl=en)
-- 
+  
 ## Citation Information
 
 Sitio web del [_dataset_ CUB200](http://www.vision.caltech.edu/datasets/cub_200_2011/), y reporte técnica [aquí](https://authors.library.caltech.edu/27452/1/CUB_200_2011.pdf).