BenchmarkMulti-Genre Natural Language Inference
MNLI
A large-scale natural language inference benchmark dataset containing premise-hypothesis pairs from multiple genres, used to train and evaluate NLI models.
Timeline (last 90 days)
Oct 24
NLI is a fundamental task in natural language processing: given a premise and a hypothesis, determine whether the relationship is entailment, contradiction or neutral, usually based on pretrained models such as BERT, DeBERTa and RoBERTa fine-tuned on the MNLI and SNLI datasets.
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