Update README.md

README.md

@@ -15,7 +15,7 @@ size_categories:
 
 ## Dataset Description
 
-This is a curated sample from the Europeana newspapers dataset, prepared for Vision-Language Model (VLM) experiments, particularly for testing structured metadata extraction from historical newspaper pages.
+This is a curated sample from the Europeana newspapers dataset, prepared for Vision-Language Model (VLM) experiments.
 
 ### Dataset Sources
 
@@ -41,28 +41,6 @@ Each sample contains a newspaper page image downloaded via IIIF along with assoc
 - `download_status`: Status of image download
 - `download_retries`: Number of retry attempts needed
 
-## Use Cases
-
-This dataset is ideal for:
-- Testing VLM metadata extraction capabilities
-- Training models with GRPO for structured information extraction
-- Evaluating OCR and document understanding models
-- Benchmarking on historical newspaper understanding
-
-## Example Usage
-
-```python
-from datasets import load_dataset
-
-# Load the dataset
-dataset = load_dataset("your-username/europeana-newspapers-sample")
-
-# Access a sample
-sample = dataset['train'][0]
-image = sample['image']  # PIL Image
-date = sample['date']     # Ground truth date
-title = sample['title']   # Ground truth title
-```
 
 ## Processing Notes
 
@@ -71,15 +49,4 @@ title = sample['title']   # Ground truth title
 - All images are converted to RGB format
 - Dataset was created using async downloading for efficiency
 
-## Citation
-
-If you use this dataset, please cite the original Europeana newspapers dataset:
 
-```bibtex
-@dataset{europeana_newspapers,
-  title={Europeana Newspapers Dataset},
-  author={BigLAM},
-  year={2024},
-  publisher={Hugging Face}
-}
-```