15 datasets found

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  • KLUE-NLI

    KLUE-NLI dataset contains sentence pairs from Korean language

  • SNLI, MultiNLI, SciTail, and Quora Question Pairs

    The dataset used for Natural Language Inference task, which involves a premise P = {p0, p1,..., pm−1} of m words and a hypothesis H = {h0, h1,..., hn−1} of n words, and aims to...

  • Stanford Corpus of Implicatives

    The Stanford Corpus of Implicatives is a dataset of natural language inference tasks.

  • SICK-NL

    SICK-NL is a dataset for Dutch Natural Language Inference, obtained by translating the SICK dataset from English into Dutch.

  • DPR

    The dataset used for investigating the extent to which sentence representations arising from neural machine translation (NMT) systems encode distinct semantic phenomena.

  • Se2: Sequential Example Selection for In-Context Learning

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

  • 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.

  • SNLI dataset

    The dataset used in the paper is the SNLI dataset.

  • MNLI and FEVER datasets

    The MNLI and FEVER datasets are used to evaluate the proposed MoCaD framework.

  • HellaSwag

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

  • Breaking NLI

    The Breaking NLI dataset is a test set constructed by taking premises from the SNLI training set and constructing several hypotheses from them by changing at most one word...

  • XNLI

    The XNLI dataset comprises pairs of sentences with a label categorizing the semantic relationship between the two sentences into one of three classifications: entailment,...

  • CIRR

    CIRR is a general image dataset that comprises 36,554 triplets derived from 21,552 images from the popular natural language inference dataset NLVR2.

  • 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...