Update README.md

README.md

@@ -2,7 +2,7 @@
 annotations_creators:
 - crowdsourced
 license: other
-pretty_name: DocLayNet
+pretty_name: DocLayNet small
 size_categories:
 - 0K<n<1K
 tags:
@@ -50,14 +50,36 @@ For all these reasons, I decided to process the DocLayNet dataset:
 - into 3 datasets of different sizes:
   - [DocLayNet small](https://huggingface.co/datasets/pierreguillou/DocLayNet-small) < 1.000k document images
   - [DocLayNet base](https://huggingface.co/datasets/pierreguillou/DocLayNet-base) < 10.000k document images- with associated texts,
+  - DocLayNet large with full dataset (to be done)
 - and in a format facilitating their use by HF notebooks.
 
 *Note: the layout HF notebooks will greatly help participants of the IBM [ICDAR 2023 Competition on Robust Layout Segmentation in Corporate Documents](https://ds4sd.github.io/icdar23-doclaynet/)!*
 
-### Download
+### Download & overview
 
 ```
-
+# !pip install -q datasets
+
+from datasets import load_dataset
+
+dataset_small = load_dataset("pierreguillou/DocLayNet-small")
+
+# overview of dataset_small
+
+DatasetDict({
+    train: Dataset({
+        features: ['id', 'texts', 'bboxes_block', 'bboxes_line', 'categories', 'image', 'pdf', 'page_hash', 'original_filename', 'page_no', 'num_pages', 'original_width', 'original_height', 'coco_width', 'coco_height', 'collection', 'doc_category'],
+        num_rows: 691
+    })
+    validation: Dataset({
+        features: ['id', 'texts', 'bboxes_block', 'bboxes_line', 'categories', 'image', 'pdf', 'page_hash', 'original_filename', 'page_no', 'num_pages', 'original_width', 'original_height', 'coco_width', 'coco_height', 'collection', 'doc_category'],
+        num_rows: 64
+    })
+    test: Dataset({
+        features: ['id', 'texts', 'bboxes_block', 'bboxes_line', 'categories', 'image', 'pdf', 'page_hash', 'original_filename', 'page_no', 'num_pages', 'original_width', 'original_height', 'coco_width', 'coco_height', 'collection', 'doc_category'],
+        num_rows: 49
+    })
+})
 ```
 
 ### HF notebooks