diff --git a/README.md b/README.md
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+# Dataset Description
+
+This dataset has been converted to YOLO format and contains bounding box annotations for content detection.
+
+## Dataset Structure
+
+The dataset is split into training and validation sets:
+- Training set: 583 images
+- Validation set: 146 images
+
+## Format
+The dataset follows the YOLO format with the following structure:
+```
+dataset/
+├── train/
+│   ├── images/
+│   │   └── *.jpg
+│   └── labels/
+│       └── *.txt
+├── val/
+│   ├── images/
+│   │   └── *.jpg
+│   └── labels/
+│       └── *.txt
+└── dataset.yaml
+```
+
+### Label Format
+Each .txt file contains one row per object in the format:
+`class_id x_center y_center width height`
+where coordinates are normalized (0-1)
+
+## Usage
+This dataset can be used with YOLOv5/YOLOv8 or any other model that supports the YOLO format.
+Use the dataset.yaml file to configure your training pipeline.
diff --git a/dataset.yaml b/dataset.yaml
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+path: zigg-ai/content-regions-1k-yolo
+train: train/images
+val: val/images
+test: ''
+names:
+  0: content
+nc: 1
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