Update README.md

README.md

@@ -35,14 +35,30 @@ dataset_info:
     num_bytes: 2017774670.25
     num_examples: 48875
   - name: test
-    num_bytes: 240662928.0
+    num_bytes: 240662928
     num_examples: 5750
   - name: validation
     num_bytes: 135991437.125
     num_examples: 2875
   download_size: 2350770974
   dataset_size: 2394429035.375
+license: cc-by-4.0
+task_categories:
+- image-classification
+language:
+- en
+size_categories:
+- 10K<n<100K
 ---
-# Dataset Card for "minc-2500_split_1"
+# Materials in Context Dataset (MINC-2500)
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+## Dataset Description
+- **Homepage:** http://opensurfaces.cs.cornell.edu/publications/minc/
+- **Paper:** https://openaccess.thecvf.com/content_cvpr_2015/html/Bell_Material_Recognition_in_2015_CVPR_paper.html
+
+## Dataset Summary
+(from the website)
+MINC-2500 is a patch classification dataset with 2500 samples per category 
+(Section 5.4 of the paper). This is a subset of MINC where samples have been
+sized to 362 x 362 and each category is sampled evenly. The original resolution
+images are not needed as we include the extracted patches in the archive.