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README.md

@@ -1,29 +1,45 @@
----
-dataset_info:
-  features:
-  - name: filename
-    dtype: string
-  - name: pdf
-    dtype:
-      pdf:
-        decode: false
-  - name: annotation
-    dtype: string
-  - name: class
-    dtype: string
-  - name: truncation_type
-    dtype: string
-  - name: pdf_size_bytes
-    dtype: int64
-  splits:
-  - name: train
-    num_bytes: 1388286.0
-    num_examples: 4
-  download_size: 1308666
-  dataset_size: 1388286.0
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
----
+# PDF OCR Classification Dataset
+
+This dataset contains PDF documents with annotations for OCR classification tasks.
+
+## Dataset Description
+
+- **Total samples**: 1620
+- **Classes**: OCR (requires OCR processing), NOCR (no OCR needed)
+
+## Dataset Structure
+
+Each row contains:
+- `filename`: Original PDF filename
+- `pdf`: PDF file as binary data (using Pdf feature type)
+- `annotation`: Original annotation label
+- `class`: Binary classification label (OCR/NOCR)
+- `truncation_type`: Whether the PDF is truncated or non-truncated
+- `pdf_size_bytes`: Size of the PDF file in bytes
+
+## Class Distribution
+
+class
+NOCR    1393
+OCR      227
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load the dataset
+dataset = load_dataset("HuggingFaceFW/ocr-annotations")
+
+# Access train split
+train_data = dataset['train']
+
+# Access a sample
+sample = train_data[0]
+pdf_bytes = sample['pdf']  # This will be bytes
+label = sample['class']
+```
+
+## License
+
+Please check the original data source for licensing information.