MLRegTest
收藏arXiv2023-11-09 更新2024-08-06 收录
下载链接：
http://arxiv.org/abs/2304.07687v2
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资源简介：
MLRegTest是一个用于机器学习系统序列分类的新基准，包含来自1,800种正则语言的训练、开发和测试集。该数据集根据逻辑复杂性和逻辑文字类型组织语言，以系统地理解正则语言中的不同长距离依赖关系，并评估不同机器学习系统学习这些依赖关系的能力。
MLRegTest is a novel benchmark for sequence classification tasks in machine learning systems. It includes training, development, and test sets derived from 1,800 distinct regular languages. This dataset organizes the regular languages based on their logical complexity and the types of logical literals, aiming to systematically investigate various long-distance dependencies in regular languages and evaluate the ability of different machine learning systems to learn such dependencies.
创建时间：
2023-04-16
