Add dataset card

README.md

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+---
+license: mit
+task_categories:
+- image-to-text
+- object-detection
+- token-classification
+language:
+- id
+- en
+tags:
+- receipt
+- ocr
+- information-extraction
+- cord
+- indonesian
+size_categories:
+- n<1K
+---
+
+# parlarlax/tiny-cord
+
+
+CORD (Consolidated Receipt Dataset) is a dataset for receipt understanding tasks.
+This dataset contains Indonesian restaurant receipts with structured annotations
+for menu items, prices, and text extraction with bounding boxes.
+
+
+## Dataset Details
+
+### Dataset Description
+
+The CORD dataset contains receipt images and their corresponding structured annotations.
+Each example includes:
+
+- **Receipt Image**: High-resolution image of Indonesian restaurant receipts
+- **Menu Items**: Structured data with item names, quantities, and prices  
+- **Totals**: Subtotal, service charges, taxes, and final total
+- **Text Annotations**: Detailed text extraction with bounding box coordinates
+
+### Dataset Structure
+
+```python
+{
+    'image': PIL.Image,
+    'image_id': int,
+    'image_size': {'width': int, 'height': int},
+    'version': str,
+    'split': str,
+    'menu_items': [
+        {'nm': str, 'cnt': str, 'price': str}, ...
+    ],
+    'totals': {
+        'subtotal_price': str,
+        'service_price': str, 
+        'tax_price': str,
+        'etc': str,
+        'total_price': str
+    },
+    'text_annotations': [
+        {
+            'words': [{'text': str, 'bbox': [int, int, int, int], 'is_key': int}, ...],
+            'category': str,
+            'group_id': int,
+            'sub_group_id': int
+        }, ...
+    ]
+}
+```
+
+### Supported Tasks
+
+- **Receipt Understanding**: Extract structured information from receipt images
+- **OCR (Optical Character Recognition)**: Text extraction with spatial information
+- **Information Extraction**: Named entity recognition for receipt components
+- **Document Layout Analysis**: Understanding spatial relationships in receipts
+
+### Languages
+
+The receipts contain text in:
+- Indonesian (primary language)
+- English (some menu items and labels)
+
+### Dataset Statistics
+
+- Number of examples: Varies based on available receipt images
+- Image dimensions: 864 x 1296 pixels
+- Average menu items per receipt: ~20-25 items
+- Text annotations include bounding boxes for precise localization
+
+## Dataset Creation
+
+This dataset was created from receipt images and corresponding JSON annotations
+containing ground truth information about menu items, prices, and text locations.
+
+### Source Data
+
+The source receipts are from Indonesian restaurants, primarily from the Bali region.
+All prices are in Indonesian Rupiah (IDR).
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load the dataset
+dataset = load_dataset("parlarlax/tiny-cord")
+
+# Access an example
+example = dataset['train'][0]
+image = example['image']
+menu_items = example['menu_items']
+total_price = example['totals']['total_price']
+```
+
+## Dataset Card Contact
+
+For questions or issues regarding this dataset, please create an issue in the repository.