Update README.md

README.md

@@ -73,24 +73,6 @@ inputs = tokenizer(content, return_tensors="pt")
 score = model(**inputs).logits
 print(f"Advocacy alignment score: {score.item():.3f}")
 ```
-
-## Training Data
-
-This model was trained on carefully curated data focused on:
-- Animal liberation philosophy and ethics
-- Advocacy strategies and messaging
-- Educational content about animal welfare
-- Ethical reasoning frameworks
-
-All training data underwent rigorous filtering to ensure alignment with animal liberation principles.
-
-## Limitations and Considerations
-
-- **Scope**: Optimized for animal advocacy and ethical reasoning contexts
-- **Bias**: Intentionally aligned towards animal liberation perspectives
-- **Domain**: May perform differently on topics outside animal advocacy
-- **Updates**: Regularly improved based on community feedback
-
 ## Community and Contributions
 
 - **Organization**: [Open Paws](https://huggingface.co/open-paws) - Making AI an ally to animals
@@ -98,19 +80,6 @@ All training data underwent rigorous filtering to ensure alignment with animal l
 - **Community**: Join our mission to use AI for animal liberation
 - **Issues**: Report issues via HuggingFace discussions
 
-## Citation
-
-```bibtex
-@model{open_paws_effect_on_animals_prediction_shortform,
-  title={Open Paws Effect_On_Animals_Prediction_Shortform},
-  author={Open Paws},
-  year={2025},
-  url={https://huggingface.co/open-paws/effect_on_animals_prediction_shortform},
-  organization={Open Paws},
-  note={AI model for animal liberation and advocacy}
-}
-```
-
 ## Model Card Contact
 
 For questions about this model, please reach out via: