Update README.md

README.md

@@ -33,14 +33,33 @@ size_categories:
 This dataset is a subset of Kaggle's Google Landmark Recognition 2021 competition with only the categories with more than 500 images. 
 https://www.kaggle.com/competitions/landmark-recognition-2021/data
 
-The dataset consists of  a total of 45579 224x224 color images in 51 classes. 
-
-The dataset was randomly split with 80% of the images for the train set and 20% for the test set. 
+The dataset consists of  a total of 45579 224x224 color images in 51 categories. 
 
 ### Languages
 
 English
 
+
+## Dataset Structure
+
+### Data Fields
+
+- `landmark_id`: Int - Numeric identifier of the category
+- `category` : String -  Name of the category
+- `id` : String - Image identifier
+- `image` : Image - PIL image object
+- `label` : Int - Numeric label from 0 to 50 
+  
+
+### Data Splits
+
+The dataset was randomly split with 80% of the images for the train set and 20% for the test set. 
+
+|                      | train | test |
+|----------------------|------:|-----:|
+| Dataset              | 36463 | 9116 |
+
+
 ### Source Data
 
 The full dataset is from Kaggle Landmark Recognition 2021
@@ -54,32 +73,3 @@ https://www.kaggle.com/competitions/landmark-recognition-2021/data
 "Google Landmarks Dataset v2 - A Large-Scale Benchmark for Instance-Level Recognition and Retrieval", T. Weyand, A. Araujo, B. Cao and J. Sim, Proc. CVPR'20
 
 "Towards A Fairer Landmark Recognition Dataset", Z. Kim, A. Araujo, B. Cao, C. Askew, J. Sim, M. Green, N. Yilla and T. Weyand, arxiv:2108.08874
-
-### Dataset info
-
-dataset_info:
-  features:
-  - name: id
-    dtype: string
-  - name: landmark_id
-    dtype: int64
-  - name: category
-    dtype: string
-  - name: image
-    dtype: image
-  - name: label
-    dtype: int64
-  splits:
-  - name: train
-    num_bytes: 2428986323.125
-    num_examples: 36463
-  - name: test
-    num_bytes: 606874794.5
-    num_examples: 9116
-  download_size: 3034360629
-  dataset_size: 3035861117.625
-language:
-- en
-pretty_name: GLDv2 Top 51 Categories
-size_categories:
-- n<1K