AI-Review-Detection

Repository Structure:-

Dataset : This contains all the datasets in JSON format that have been used in the research. In each JSON file, keys are the IDs of the open review paper, and the values are the reviews of it.
Embeddings: This contains the embeddings of the dataset created from the open-ai text-embedding-3-small model
Dictionaries: This contains the dictionaries that have been used in our token-frequency model

To regenerate the results of our paper, you just have to run the files: Our_RR_model.ipynb and our_TF_model.ipynb

Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
Baselines		Baselines
Dataset		Dataset
Dictionaries		Dictionaries
Embeddings		Embeddings
Our_RR_model.ipynb		Our_RR_model.ipynb
README.md		README.md
embeddings.py		embeddings.py
modified_paraphrase_attack.py		modified_paraphrase_attack.py
our_TF_model.ipynb		our_TF_model.ipynb
paraphrase_attack.py		paraphrase_attack.py
synonym_attack.py		synonym_attack.py
tf_dictionary_creator.py		tf_dictionary_creator.py