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| File | Size | Description |
|---|---|---|
trainer.zip | ~2.6 GB | Application for fine-tuning the model |
prediction.zip | ~2.5 GB | Application for running predictions |
classifier.zip | ~60 MB | Application for manual comment classification |
QA_dataset.csv | ~75 kB | Quality assurance dataset |
⚠️ No Python installation required — all three programs are self-contained.exeapplications.
classifier/
├── _internal/ # internal dependencies (do not modify)
└── run_classifier.exe # executable file.exe.exe file or launch it from the terminal:1.\run_classifier.exe
2.\run_prediction.exe
3.\run_trainer.exerun_classifier — a tool for manual or batch comment classification. Useful for quick review and labeling.run_prediction — the main inference application. Takes comments as input and returns predicted classes.run_trainer — fine-tunes the model on new data. Allows you to retrain the classifier on your own dataset..env file with environment variables (e.g., file paths, parameters). Edit it as needed before running the applications.data_hand_classifier/ — tools for manual data labelingrubert_trainer/ — RuBERT fine-tuning scriptsdataset.csv — main training datasettest_comments.csv — test setresult.png — training results visualizationNote: Since the applications are packaged with PyInstaller, they may be flagged by antivirus software as suspicious. This is a known false positive common to PyInstaller-built executables. You may need to add an exception in your antivirus or temporarily disable it to run the applications.