checklist for nlp

**CheckList** is a **comprehensive behavioral testing framework for NLP models** — organizing tests into a matrix of linguistic capabilities × test types (MFT, INV, DIR), providing systematic coverage of model behaviors beyond aggregate accuracy metrics. **CheckList Test Types** - **MFT (Minimum Functionality Tests)**: Simple inputs with known correct answers (e.g., "I love this" → positive sentiment). - **INV (Invariance Tests)**: Perturbations that should NOT change predictions (e.g., changing a name). - **DIR (Directional Expectation Tests)**: Perturbations that should change predictions in a known direction. - **Capabilities**: Vocabulary, negation, taxonomy, robustness, fairness, temporal, etc. **Why It Matters** - **Beyond Accuracy**: Accuracy on benchmarks hides capability-specific failures — CheckList exposes them. - **Systematic**: The capability × test-type matrix ensures comprehensive, organized model evaluation. - **Actionable**: Each failed test pinpoints a specific model weakness to address. **CheckList** is **the comprehensive test suite for NLP** — systematically testing every linguistic capability with targeted, organized test cases.