Update README.md

README.md

@@ -108,7 +108,7 @@ Images are **NOT included** - use the original DocLayNet image files from:
 from datasets import load_dataset
 
 # Load the filtered annotations
-dataset = load_dataset("YOUR_USERNAME/doclaynet-6class")
+dataset = load_dataset("kbang2021/doclaynet-6class")
 
 # Access splits
 train_data = dataset["train"]
@@ -179,20 +179,6 @@ This filtered dataset is ideal for:
 - **Multi-scale document understanding** tasks
 - **Transfer learning** from general object detection to document analysis
 
-## Evaluation Benchmarks
-
-### Zero-Shot Performance (COCO Pretrained Models)
-
-Models pretrained on COCO and evaluated without fine-tuning on DocLayNet 6-class:
-
-| Model | mAP@0.5 | mAP@0.5:0.95 | Inference (ms) | Parameters |
-|-------|---------|--------------|----------------|------------|
-| YOLOv11n | TBD | TBD | TBD | 2.6M |
-| YOLOv11m | TBD | TBD | TBD | 20M |
-| RT-DETR-L | TBD | TBD | TBD | 32M |
-
-*Evaluation in progress on test set (4,952 images at 1024×1024 resolution)*
-
 ## Limitations
 
 1. **Images not included**: You must obtain images from the original DocLayNet dataset
@@ -225,9 +211,9 @@ If you use this filtered dataset, please cite both:
 ```bibtex
 @misc{doclaynet6class2024,
   title = {DocLayNet 6-Class: Filtered Document Layout Analysis Dataset},
-  author = {[Your Name]},
-  year = {2024},
-  howpublished = {\url{https://huggingface.co/datasets/YOUR_USERNAME/doclaynet-6class}},
+  author = {[Keng Boon, Ang]},
+  year = {2026},
+  howpublished = {\url{https://huggingface.co/datasets/kbang2021/doclaynet-6class}},
   note = {Filtered subset of DocLayNet containing 6 primary layout element classes}
 }
 ```
@@ -243,7 +229,6 @@ See: https://cdla.dev/permissive-2-0/
 ## Acknowledgments
 
 - Original DocLayNet dataset: IBM Research
-- Filtering and curation: [Your Name/Organization]
 - Built using the layout-for-tools evaluation framework
 
 ## Contact