|
Download README.md from CJJones/Linux_File_Operations_LLM_Training_Sample: direct link, hf CLI and curl.
- Browser
- Download file 4.37 kB
-
https://huggingface.co/datasets/CJJones/Linux_File_Operations_LLM_Training_Sample/resolve/main/README.md
- Command line
-
hf download hf://datasets/CJJones/Linux_File_Operations_LLM_Training_Sample/README.md
-
curl -L -o README.md https://huggingface.co/datasets/CJJones/Linux_File_Operations_LLM_Training_Sample/resolve/main/README.md
4.37 kB
| Name: gumroad-linux-fileops-commands | |
| Version: 1.0.0 | |
| Language: English | |
| license: cc-by-sa-4.0 | |
| tags: | |
| - Bash | |
| - CLI | |
| - command-line | |
| - synthetic-data | |
| - file-io | |
| - multi-turn | |
| - simulation | |
| - synthetic | |
| - dialogue | |
| - conversational-ai | |
| - large-language-models | |
| - instruction | |
| - llm-training | |
| - conversational-ai | |
| - training-data | |
| - retrieval-augmented-generation | |
| - agentic | |
| Full dataset available on Gumroad: https://datadeveloper1.gumroad.com/l/xnuugm | |
| <a href="https://datadeveloper1.gumroad.com/l/dxxja" style="display: inline-block; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; font-weight: 600; font-size: 16px; padding: 14px 28px; border-radius: 50px; text-decoration: none; box-shadow: 0 4px 15px rgba(0,0,0,0.2); transition: transform 0.2s, box-shadow 0.2s; border: 1px solid rgba(255,255,255,0.2);" onmouseover="this.style.transform='translateY(-2px)'; this.style.boxShadow='0 6px 20px rgba(0,0,0,0.3)';" onmouseout="this.style.transform='translateY(0)'; this.style.boxShadow='0 4px 15px rgba(0,0,0,0.2)';">Want more? 🚀 Get the AI Startup Bundle from Gumroad.</a> | |
| Dataset Summary | |
| A comprehensive dataset of Linux file operation commands extracted from Gumroad technical documentation and system administration contexts. Each record represents a natural language instruction paired with its corresponding bash command execution in JSON format, complete with rich metadata about the operating environment, security context, and operational parameters. | |
| Supported Tasks | |
| Command-line instruction parsing | |
| Natural language to bash translation | |
| System administration workflow analysis | |
| Security context classification | |
| Multi-cloud environment modeling | |
| Dataset Structure | |
| Data Fields | |
| Each record contains: | |
| instruction (string): Natural language task description | |
| output (object): Structured JSON command with: | |
| tool: Bash utility name (find, tar, cp, mv, etc.) | |
| action: Always "json" | |
| args: Command arguments and execution parameters | |
| metadata: Environmental context including persona, OS, cloud provider, security level | |
| Sample Record | |
| json | |
| { | |
| "instruction": "find all files modified in the last 24h in directory '/backup/agriculture-ml-cloud-5366'. Include file modification timestamps in the output. Environment: development, Security: NONE", | |
| "output": { | |
| "tool": "bash", | |
| "action": "json", | |
| "args": { | |
| "command": "find /backup/agriculture-ml-cloud-5366 -type f -mmin -1440 -exec stat -c '%n %y' {} \\;", | |
| "timeout": 30, | |
| "validate": true | |
| }, | |
| "metadata": { | |
| "persona": "backup_admin", | |
| "os": "CentOS 7", | |
| "cloud": "Alibaba Cloud", | |
| "environment": "development", | |
| "security_level": "NONE", | |
| "project": "agriculture-ml-cloud-5366" | |
| } | |
| } | |
| } | |
| ## If you liked this, you may also be interested in: | |
| - [30k Records LLM Training Data: Linux Automation_1](https://datadeveloper1.gumroad.com/l/zfdnjn) | |
| - [30k Linux File Operations LLM Training](https://datadeveloper1.gumroad.com/l/xnuugm) | |
| - [News Search LLM Training Data](https://datadeveloper1.gumroad.com/l/faivv) | |
| - [RPG Combat Scenario LLM Training Data – Magician, 30,000 records](https://datadeveloper1.gumroad.com/l/lmfhbg) | |
| - [AI Startup Bundle](https://datadeveloper1.gumroad.com/l/dxxja) | |
| - [20k LLM Synthetic PenTest Reports Training Dataset](https://datadeveloper1.gumroad.com/l/lkvoo) | |
| - [Synthetic LLM Physics Training Dataset](https://datadeveloper1.gumroad.com/l/vghhq) | |
| - [100k Synthetic RPG Scenes LLM Training Dataset](https://datadeveloper1.gumroad.com/l/drbhyu) | |
| - [100k Contextual Microcontroller Synthetic LLM Training Dialog Dataset](https://datadeveloper1.gumroad.com/l/xscay) | |
| - [LLM Training Dataset 100k Antenna Design Examples](https://datadeveloper1.gumroad.com/l/sdwom) | |
| - [100k Synthetic LLM Multiturn Formatted Tech Support](https://datadeveloper1.gumroad.com/l/tgnvjf) | |
| - [LLM Training Dataset 100k Drone Telemetry and Control Reasoning](https://datadeveloper1.gumroad.com/l/kzzdeb) | |
| - [100k Specialized Vehicle Diagnostics LLM Training Dataset](https://datadeveloper1.gumroad.com/l/oizcli) | |
| - [LLM Training Dataset 100k Elementary Animal Comparisons QA](https://datadeveloper1.gumroad.com/l/tzvwk) | |
| - [LLM Training Dataset 100k Elementary Math Word Problems](https://datadeveloper1.gumroad.com/l/woypqt) |