XCompress: LLM assisted Python-based text compression toolkit

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2024-08-12 DOI:10.1016/j.softx.2024.101847

Emir Öztürk

引用次数: 0

Abstract

This study introduces XCompress, a Python-based tool for effectively utilizing various compression algorithms. XCompress offers manual, brute force, and Large Language Model (LLM) methods to determine the most suitable algorithm based on the type of text data. Its modular structure allows easy addition of new algorithms and includes functions for benchmarking and result comparison. Tests on diverse text types demonstrate the efficacy of the LLM-assisted Compression Selection Model (CSM). With XCompress, users can determine the most suitable method for their files. Additionally, in academic research, they can easily compare different methods without needing any scripting or programming language.

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XCompress：基于 LLM 的 Python 辅助文本压缩工具包

本研究介绍了 XCompress，这是一种基于 Python 的工具，可有效利用各种压缩算法。XCompress 提供手动、暴力和大型语言模型 (LLM) 方法，可根据文本数据类型确定最合适的算法。其模块化结构允许轻松添加新算法，并包含基准测试和结果比较功能。对不同文本类型的测试证明了 LLM 辅助压缩选择模型（CSM）的有效性。有了 XCompress，用户可以确定最适合自己文件的压缩方法。此外，在学术研究中，用户无需任何脚本或编程语言，就能轻松比较不同的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

期刊介绍： SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.