sick数据集介绍

数据集

论文： SemEval-2014 Task 1: Evaluation of compositional distributional semantic models on full sentences through semantic relatedness and textual entailment

SICK数据集用于SemEval 2014 - Task 1

数据结构

• pair_ID: 句子对ID

• sentence_A: A句

• sentence_B: B局

• entailment_label: 文本蕴含关系的标注(gold truth/ground truth) (NEUTRAL, ENTAILMENT, or CONTRADICTION)

• relatedness_score: 语义关系度的标注分数 gold score (on a 1-5 continuous scale)

• entailment_AB: A到B的蕴含关系entailment for the A-B order (A_neutral_B, A_entails_B, or A_contradicts_B)

• entailment_BA: B到A的蕴含关系entailment for the B-A order (B_neutral_A, B_entails_A, or B_contradicts_A)

• sentence_A_original: 导出句子A的原始句子original sentence from which sentence A is derived

• sentence_B_original: 导出句子B的原始句子original sentence from which sentence B is derived

• sentence_A_dataset: 句子A的来源数据集dataset from which the original sentence A was extracted (FLICKR vs. SEMEVAL)

• sentence_B_dataset: 句子B的来源数据集dataset from which the original sentence B was extracted (FLICKR vs. SEMEVAL)

• SemEval_set: set including the sentence pair in SemEval 2014 Task 1 (TRIAL, TRAIN, or TEST)