CORPUS=args # or CORPUS=kialo
poetry run python -m quantigpt predict-statements data/pattern-matches-$CORPUS .json data/predicted-statements-$CORPUS .json --sample-size 50 --skip-first 0
poetry run python -m quantigpt prettify pattern-matches-$CORPUS .json data/predicted-statements-$CORPUS .json
poetry run python -m quantigpt augment-statements data/predicted-statements-$CORPUS .json data/augmented-statements-$CORPUS .json
poetry run python -m quantigpt predict-validations data/pattern-matches-$CORPUS .json data/augmented-statements-$CORPUS .json data/predicted-validations-$CORPUS .json
poetry run python -m quantigpt export-labelstudio data/pattern-matches-$CORPUS .json data/augmented-statements-$CORPUS .json data/predicted-validations-$CORPUS .json data/labelstudio-$CORPUS .json
Universal Data Tool Export
poetry run python -m quantigpt export-udt data/pattern-matches-$CORPUS .json data/augmented-statements-$CORPUS .json data/predicted-validations-$CORPUS .json data/udt-$CORPUS .json