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README.md

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 # Shell-Code-Large
 
-**Shell-Code-Large** is a large-scale corpus of Shell scripting source code, comprising approximately **640,000 code samples** stored in `.jsonl` format. The dataset is designed to support research and development in Large Language Model (LLM) pretraining, code intelligence, DevOps automation, cloud infrastructure engineering, system administration, and software engineering tooling.
+**Shell-Code-Large** is a large-scale corpus of Shell scripting source code comprising approximately 640,000 code samples stored in JSON Lines (.jsonl) format. The dataset is designed to support research in large language model (LLM) pretraining, code intelligence, DevOps automation, cloud infrastructure engineering, system administration, and software engineering automation.
 
-By offering a focused and curated dataset for Shell scripting, this corpus enables experimentation in automation workflows, operating system management, deployment pipelines, infrastructure-as-code ecosystems, and command-line tooling—domains where Shell remains a foundational technology.
+By providing a high-volume, language-specific corpus focused exclusively on Shell scripting, Shell-Code-Large enables systematic experimentation in automation workflows, deployment pipelines, infrastructure management, and command-line tooling. These domains remain foundational to Linux systems, cloud-native platforms, CI/CD environments, and modern DevOps practices.
 
-Shell-Code-Large addresses the relative scarcity of large, language-specific datasets for Shell scripting, enabling targeted research into scripting patterns, command composition, system orchestration, and automation best practices.
+Shell-Code-Large addresses the need for a dedicated Shell-focused dataset at substantial scale, enabling targeted research into scripting patterns, command composition, workflow orchestration, infrastructure automation, and operational engineering practices.
 
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