Update README.md

README.md

@@ -49,8 +49,9 @@ At last, in order to use Hugging Face notebooks on fine-tuning layout models lik
 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 (691 train, 64 val, 49 test)
-  - [DocLayNet base](https://huggingface.co/datasets/pierreguillou/DocLayNet-base) < 10.000k document images- with associated texts,
+  - [DocLayNet base](https://huggingface.co/datasets/pierreguillou/DocLayNet-base) < 10.000k document images (6910 train, 648 val, 499 test)
   - DocLayNet large with full dataset (to be done)
+- with associated texts,
 - 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/)!*
@@ -66,7 +67,20 @@ dataset_base = load_dataset("pierreguillou/DocLayNet-base")
 
 # overview of dataset_base
 
-
+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: 6910
+    })
+    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: 648
+    })
+    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: 499
+    })
+})
 ```
 
 ## Annotated bounding boxes