task_categories:text-generation license:cc-by-4.0 instruction-finetuning region:us
---
license: cc-by-4.0
tags:
- instruction-finetuning
pretty_name: unix-commands-dataset
task_categories:
- text-generation
---

# Unix Commands Dataset

## Description

The Unix Commands Dataset is a unique collection of real-world Unix command line examples, captured from various system prompts representing different user roles and responsibilities, such as system administrators, DevOps, network administrators, Docker administrators, regular users, and hackers.

The dataset consists of Unix commands ranging from basic to advanced levels and from a wide array of categories, including file operations (`ls`, `cd`), system information (`uname`, `top`), network configuration (`ifconfig`, `netstat`), text manipulation (`grep`, `awk`), process management (`ps`, `kill`), package management (`apt-get`, `yum`), and various others. Each command is associated with the expected output to help in understanding the behavior of the command.

The dataset also includes examples related to certain specific roles, like Docker commands for Docker administrators and `iptables` commands for network administrators. This helps in showcasing the diversity of Unix commands in different work contexts.

## Dataset Structure

The dataset is structured following the alpaca format

1. **instruction**: A simple prompt to force the LLM to act as a Unix Terminal. You will probably need to change that.

2. **input**: The command prompt, including the username, hostname, and current directory. Example: `user@webserver:~$` Followed by the Unix command input by the user. Example: `ls /home`

3. **output**: The expected output from the Unix command. Example: `john  emily  alex`


## Usage

This dataset can be used to fine-tune a language model with a focus on Unix command line usage. This could lead to the development of AI models that can provide real-time assistance on Unix command lines, help in Unix system automation, perform Unix command prediction, or aid in cybersecurity analysis by understanding system logs.

By understanding this dataset, the language model can learn to provide more accurate and contextually appropriate responses when generating text related to Unix systems and command-line interactions.

## Note

The Unix Commands Dataset is not intended to teach Unix system administration or serve as a comprehensive guide to Unix commands. Rather, it provides real-world examples of how commands are used in various contexts, which can be valuable for AI training and natural language processing tasks.

