datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
text-commands-2026-0422
Commands
Clean summary of 4D language reference.
Abstract
LLMs are generally incapable of understanding 4D code. LoRA by exposure to raw source code would actually increase the rate of hallucination as the model gets confused between 4D code and C#, Visual Basic, or JavaScript.
CPT, or continued pre-training, based on grammar and vocabulary should moderate the model's attention before extensive fine-tuning using raw source code.
This dataset was generated with Mistral… See the full description on the dataset page: https://huggingface.co/datasets/keisuke-miyako/text-commands-2026-0422.Networking_Commands_DatasetNetworking Commands Dataset
Overview
This dataset is (networking_dataset) contains 750 unique Cisco-specific and general networking commands (NET001–NET750), designed for red teaming AI models in cybersecurity. It focuses on testing model understanding, detecting malicious intent, and ensuring safe responses in enterprise networking environments. The dataset includes both common and obscure commands, emphasizing advanced configurations for adversarial testing.
Dataset Structure
The dataset is… See the full description on the dataset page: https://huggingface.co/datasets/darkknight25/Networking_Commands_Dataset.text-commands-2026-0419text-commands-2026-0431text-commands-2026-0432text-commands-2026-0412text-commands-2026-0405text-commands-2026-0417bash-commands-dataset
🐧 Linux Command Automation Dataset
A dataset of natural language prompts paired with their corresponding Bash command-line equivalents, designed to train or fine-tune models for automating Linux tasks via natural language.
📁 Dataset Structure
The dataset is in JSON format, structured as a flat array of objects, where each object contains:
{
"prompt": "Natural language description of a task",
"response": "Equivalent Bash command"
}
✅ Example
{… See the full description on the dataset page: https://huggingface.co/datasets/aelhalili/bash-commands-dataset.text-commands-2026-0408text-commands-2026-0430text-commands-2026-0428text-commands-2026-0401text-commands-2026-0425
Commands
Clean summary of 4D language reference.
Abstract
LLMs are generally incapable of understanding 4D code. LoRA by exposure to raw source code would actually increase the rate of hallucination as the model gets confused between 4D code and C#, Visual Basic, or JavaScript.
CPT, or continued pre-training, based on grammar and vocabulary should moderate the model's attention before extensive fine-tuning using raw source code.
This dataset was generated with Grok 4.20… See the full description on the dataset page: https://huggingface.co/datasets/keisuke-miyako/text-commands-2026-0425.text-commands-2026-0427text-commands-2026-0429cli-commands-explained
Overview
This dataset is a collection of 16,098 command line instructions sourced from Commandlinefu and Cheatsheets. It includes an array of commands, each with an id, title, description, date, url to source, author, votes, and flag indicating if the description is AI generated. The descriptions are primarily authored by the original contributors, for entries where descriptions were absent, they have been generated using NeuralBeagle14-7B. Out of the total entries, 10,039… See the full description on the dataset page: https://huggingface.co/datasets/b-mc2/cli-commands-explained.text-commands-2026-0402text-commands-2026-0403text-commands-2026-0423
Classes
Clean summary of 4D object language reference.
Example
As of 4D version 21, the Vector class is a built-in component of the 4D language, designed to facilitate the handling of vectors and the execution of distance and similarity calculations between them. This class is accessible via the 4D class store and is particularly relevant in the context of artificial intelligence, where vectors—sequences of numerical values—serve as foundational representations for… See the full description on the dataset page: https://huggingface.co/datasets/keisuke-miyako/text-commands-2026-0423.text-commands-2026-0404text-commands-2026-0409text-commands-2026-0410text-commands-2026-0406text-commands-2026-0420text-commands-2026-0411unix-commands
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… See the full description on the dataset page: https://huggingface.co/datasets/harpomaxx/unix-commands.text-commands-2026-0418linux-commandstext-commands-2026-0415