3 datasets found

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  • Se2: Sequential Example Selection for In-Context Learning

    The paper proposes a novel approach to the sequential example selection paradigm for in-context learning.

  • SNLI

    The dataset used in the paper is the Stanford Natural Language Inference (SNLI) dataset, which consists of 549,367 premise-hypothesis pairs for train/dev/test sets and target...

  • SICK

    SICK is a dataset for recognizing textual entailment (RTE), containing 4.5K/0.5K/5.0K train/dev/test examples. Each example consists of a hypothesis and a premise, and the goal...