MichaelR207/MultiSimV2
收藏Hugging Face2024-10-23 更新2024-12-14 收录
下载链接：
https://hf-mirror.com/datasets/MichaelR207/MultiSimV2
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资源简介：
MultiSim基准是一个不断增长的文本简化数据集集合，针对多种语言的句子简化任务。目前，该基准涵盖了12种语言，包括英语、法语、俄语、日语等。数据集由27个现有数据集组成，每个数据集都有其特定的来源和注释过程。数据集主要用于句子简化任务，旨在帮助儿童、第二语言学习者和有阅读/认知障碍的人更好地理解文本。
The MultiSim benchmark is a growing collection of text simplification datasets targeted at sentence simplification in several languages. Currently, the benchmark spans 12 languages. The dataset is used for tasks such as summarization, text-to-text generation, and text generation. The dataset is split into train, validation, and test sets, and it includes features such as original and simple sentences.
提供机构：
MichaelR207
