notebooks/README.md

Notebooks

Exploratory analysis and Colab training notebooks. Run them in order. The first is best run locally; the training ones expect a Colab (T4+/A100) or CUDA GPU environment.

Notebook	Purpose
01_data_exploration.ipynb	Dataset overview, language distribution, label stats
02_train_colab.ipynb	End-to-end training (aspect extraction + sentiment) on Colab
03_model_comparison.ipynb	Compare trained runs from the MLflow tracking server
04_qlora_colab.ipynb	QLoRA 4-bit fine-tuning of the sequence classifier
05_final_evaluation.ipynb	Final cross-lingual evaluation and latency benchmarks

These notebooks are generated/updated from scripts/generate_notebooks.py where applicable.