multinli

**MultiNLI (Multi-Genre Natural Language Inference)** is a **large-scale NLI benchmark with diverse text genres** — testing whether models can determine if a hypothesis is entailed, contradicted, or neutral given a premise, across fiction, government, telephone, and more. **What Is MultiNLI?** - **Type**: Natural Language Inference (NLI) benchmark. - **Task**: Classify premise-hypothesis pairs as entailment/contradiction/neutral. - **Size**: 433K sentence pairs across 10 genres. - **Diversity**: Fiction, letters, government, telephone, travel, etc. - **Split**: Matched (same genres) and mismatched (different genres) test sets. **Why MultiNLI Matters** - **Genre Diversity**: Tests generalization across writing styles. - **Scale**: Large enough for deep learning training. - **Standard**: Used for BERT, RoBERTa, GPT evaluations. - **Transfer Learning**: Pre-train on MultiNLI, fine-tune for other tasks. - **Challenging**: Requires genuine language understanding. **Example** Premise: "The old man sat quietly in the garden." Hypothesis: "Someone was outdoors." Label: Entailment Premise: "She never visited Paris." Hypothesis: "She traveled to France." Label: Contradiction MultiNLI is the **standard benchmark for natural language understanding** — testing reasoning across diverse text types.