Natural Language Inference - Groups

BoolQ

The BoolQ dataset is a context-based yes-no question answering dataset.

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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.

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e-SNLI: Natural Language Inference with Natural Language Explanations

The e-SNLI dataset is a large-scale dataset for natural language inference, with human-written explanations for each sample.

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HellaSwag

The dataset is used for instruction-tuning of LLMs in multiple languages using reinforcement learning from human feedback.

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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...

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5 datasets found

BoolQ

Se2: Sequential Example Selection for In-Context Learning

e-SNLI: Natural Language Inference with Natural Language Explanations

HellaSwag

SNLI