Updated README

README.md

@@ -33,3 +33,54 @@ dataset_info:
   download_size: 7915673821
   dataset_size: 7855387543.625
 ---
+
+# Dataset Card for Histopathology Dataset
+
+## Dataset Summary
+This dataset contains 224x224, 512x512 and 1024x1024 patches of a group of histopathology images taken from the [CAMELYON16](http://gigadb.org/dataset/100439) dataset and embedding vectors extracted from these patches using the [Google Path Foundation](https://huggingface.co/google/path-foundation) model.
+
+![Data Processing](data_processing.png)
+
+## Thumbnail of Main Slide
+
+![Main Slide Thumbnail](test_001.png)
+
+
+## Supported Tasks
+Machine learning applications that can be performed using this dataset:
+* Classification
+* Segmentation
+* Image generation
+
+## Languages
+* English
+
+## Dataset Structure
+### Data Fields
+- `image`: Image of the patch.
+- `slide_name`: Main slide name of the patch.
+- `x`: X coordinate of the patch.
+- `y`: Y coordinate of the patch.
+- `level`: Level of the main slide.
+- `patch_size`: Size of the patch.
+- `resize`: Image size used to obtain embedding vector with Path foundation model.
+- `embedding_vector`: Embedding vector of the patch extracted using Path foundation model.
+
+## Dataset Creation
+### Source Data
+- **Original Sources 
+  - [CAMELYON16](http://gigadb.org/dataset/100439): List of images taken from CAMELYON16 dataset:
+    * `test_001.tif`
+    * `test_002.tif`
+    * `test_003.tif`
+    * `test_004.tif`
+    * `test_005.tif`
+    * `test_006.tif`
+    * `test_007.tif`
+    * `test_008.tif`
+    * `test_009.tif`
+  - [Google Path Foundation](https://huggingface.co/google/path-foundation): Embedding vectors extracted from the patches using the Path Foundation model.
+
+## Considerations for Using the Data
+### Social Impact and Bias
+Attention should be paid to the Path Foundation model licenses provided by Google.