This paper presents the shared task on Multilingual Idiomaticity Detection and Sentence Embedding, which consists of two subtasks: (a) a binary classification one aimed at identifying whether a sentence contains an idiomatic expression, and (b) a task based on semantic text similarity which requires the model to adequately represent potentially idiomatic expressions in context. Each subtask includes different settings regarding the amount of training data. Besides the task description, this paper introduces the datasets in English, Portuguese, and Galician and their annotation procedure, the evaluation metrics, and a summary of the participant systems and their results. The task had close to 100 registered participants organised into twenty five teams making over 650 and 150 submissions in the practice and evaluation phases respectively.

翻译：本文件介绍了关于多语言多语种特征探测和判刑嵌入的共同任务,由两个子任务组成:(a) 二进制分类1,旨在确定某一句是否包含一种特殊表达方式,(b) 基于语义文本相似性的任务,要求该模型在背景中充分体现潜在的特殊表达方式,每个子任务包括培训数据数量的不同设置,除任务说明外,本文件还介绍了英文、葡萄牙文和加利西亚文数据集及其说明程序、评价指标和参与者系统及其结果摘要,该任务已分别分为25个小组,分别提出650和150份实践和评价阶段的呈件,近100名注册参与者组成了25个小组。