Update README.md

README.md

@@ -109,16 +109,16 @@ dataset_info:
           '99': n13133613
   splits:
   - name: train
-    num_bytes: 6284840508.0
+    num_bytes: 6284840508
     num_examples: 50000
   - name: validation
-    num_bytes: 1286953696.0
+    num_bytes: 1286953696
     num_examples: 10000
   - name: test
-    num_bytes: 670707560.0
+    num_bytes: 670707560
     num_examples: 5000
   download_size: 7433461683
-  dataset_size: 8242501764.0
+  dataset_size: 8242501764
 configs:
 - config_name: default
   data_files:
@@ -134,6 +134,8 @@ license_link: https://www.image-net.org/download.php
 task_categories:
 - image-classification
 pretty_name: Mini-ImageNet
+size_categories:
+- 10K<n<100K
 ---
 
 ## Dataset Description
@@ -153,9 +155,17 @@ Unlike some 'mini' variants this one includes the original images at their origi
 #### Test
 * 5000 samples from ImageNet-1k validation split (all 50 samples per class)
 
+### Usage
+
+This dataset is good for testing hparams and models in `timm`
+
+#### Train
+
+`python train.py --dataset hfds/timm/mini-imagenet --model resnet50 --amp --num-classes 100`
+
 ### Citation Information
 
-For the specific instance of this mini variant I am not sure what the origin is. It is different from commonly referred [Vinyales et al., 2016](https://arxiv.org/abs/1606.04080) as it doesn't match the classes / splits.
+For the specific instance of this mini variant I am not sure what the origin is. It is different from commonly referenced [Vinyales et al.,2016](https://arxiv.org/abs/1606.04080) as it doesn't match the classes / splits.
 
 Train & validation splits match train & test of https://www.kaggle.com/datasets/ctrnngtrung/miniimagenet ... it is not clear where that originated though.