This is a fork of Facebook's Side project to showcase the verification engine and enable live checking of citations on Wikipedia without relying on the pre-processed WAFER data.

Code

• verify_wikipedia: original Side code (conf/ and /dpr) but streamlined to only include code relevant to running the verification engine (verifier model) -- i.e. I removed code for building the Sphere indexes and training models. I also added code for running a Flask API for running the verifier model (wsgi.py), fetch passages from external sources (passages/web_source.py), and fetch claims from Wikipedia articles (passages/wiki_claim.py).
• api_config: Scripts / config for setting up the verifier model Flask API on a Cloud VPS server.
• tool_ui: code for Flask-based UI for calling the verififer model to be hosted on Toolforge.

External data dependencies

• The model itself can be downloaded per the original README from this URL (8.0GB). I have not modified the model. That file contains a few important pieces:
  • verifier/outputs/checkpoint.best_validation_acc: model weights (notably, you can delete checkpoint.best_validation_loss and free up 4GB)
  • verifier/predictions/best_validation_acc__wafer_ccnet/checkpoint_cfg.yaml: model config
  • verifier/.hydra/: more config
• Running the verifier model for the first time will automatically download the base HuggingFace Roberta-large model (1.3GB) and cache it locally.

Test it out

• Tool UI can be found at: https://citation-evaluation.toolforge.org/