Datasets:

kipasyangin5
/

terminal-cli-commands-dataset

@@ -1,64 +1,69 @@
----
-license: mit
-language:
-- en
-tags:
-- terminal
-- cli
-- linux
-- bash
-- shell
-- coding
-- synthetic
-pretty_name: Linux Terminal & CLI Commands Corpus
-size_categories:
-- 10K<n<100K
----
-# 💻 Pure Linux Terminal & CLI Commands Dataset
-This repository contains **50,000 pure Linux CLI command scenarios, shell navigation interactions, and bash command Q&A pairs**.
----
-## 🧐 How This Dataset Came To Exist
-Small language models (such as 5.0 Million parameter models) face a severe **data scarcity and noise problem**: web text dumps (like Common Crawl) contain noisy HTML artifacts, broken code, and rambling prose that dilute small neural networks.
-To train a tiny 5M parameter model to navigate Linux, run commands, and assist with terminal syntax with **100% accuracy and zero noise**, we engineered a **Synthesized Shell Compilation Engine** ([`terminal_dataset.py`](https://huggingface.co/kipasyangin5/5m-terminal-lm-chinchilla/blob/main/training_code/terminal_dataset.py)):
-1. **Structured Command Pair Generation**: Programmatically synthesizes natural language user queries mapped to exact, un-corrupted Linux CLI commands (`cd ..`, `ls -la`, `mkdir -p`, `grep -rn`, `chmod +x`, `git commit`, `docker run`, `curl`, `df -h`, `free -h`).
-2. **Interactive Shell Session Logs**: Generates multi-turn terminal session logs (`$ cd ..
- $ pwd
- /home/user`) to teach the model causal terminal prompt mechanics.
-3. **Chained Execution Logic**: Generates multi-command shell pipelines (`$ mkdir project && cd project && git init`).
----
-## 📊 Dataset Schema & Files
-| File | Format | Description |
-| :--- | :--- | :--- |
-| **`terminal_cli_commands.jsonl`** | JSON Lines | Structured JSON entries containing `question`, `command`, and `formatted_dialogue`. |
-| **`terminal_cli_commands.txt.gz`** | Compressed Text | Gzip-compressed raw text stream for direct PyTorch DataLoader streaming. |
-| **`terminal_cli_sample.txt`** | Plain Text | 500-line sample preview for instant browser inspection. |
-### JSONL Sample Entry:
-```json
-{
-  "id": 42,
-  "type": "qa_pair",
-  "question": "How do I navigate up one directory?",
-  "command": "cd ..",
-  "formatted_dialogue": "User: How do I navigate up one directory?\nAssistant: Run `cd ..`\n"
-}
-```
----
-## 🔗 Related Models & Code
-* **5M Chinchilla Model**: [`kipasyangin5/5m-terminal-lm-chinchilla`](https://huggingface.co/kipasyangin5/5m-terminal-lm-chinchilla)
-* **5M Saturated Model**: [`kipasyangin5/5m-terminal-lm-saturated`](https://huggingface.co/kipasyangin5/5m-terminal-lm-saturated)
-* **Complete Training Code**: [`kipasyangin5/5m-terminal-lm-chinchilla/tree/main/training_code`](https://huggingface.co/kipasyangin5/5m-terminal-lm-chinchilla/tree/main/training_code)
-* **Live Playground Space**: [`kipasyangin5/5m-terminal-lm-chat`](https://huggingface.co/spaces/kipasyangin5/5m-terminal-lm-chat)

+---
+license: mit
+language:
+- en
+tags:
+- terminal
+- cli
+- linux
+- bash
+- shell
+- coding
+- synthetic
+pretty_name: Linux Terminal & CLI Commands Corpus
+size_categories:
+- 10K<n<100K
+---
+# 💻 Pure Linux Terminal & CLI Commands Dataset
+This repository contains **50,000 pure Linux CLI command scenarios, shell navigation interactions, and bash command Q&A pairs**.
+---
+## 🧐 How This Dataset Came To Exist (Source Code Linked)
+Small language models (such as 5.0 Million parameter models) face a severe **data scarcity and noise problem**: web text dumps (like Common Crawl) contain noisy HTML artifacts, broken code, and rambling prose that dilute small neural networks.
+To train a tiny 5M parameter model to navigate Linux, run commands, and assist with terminal syntax with **100% accuracy and zero noise**, we engineered a **Synthesized Shell Compilation Engine**:
+👉 **View Python Generator Code**: [`terminal_dataset.py`](./terminal_dataset.py)
+👉 **View Full Dataset Build Code**: [`build_cli_only.py`](./build_cli_only.py)
+### Engine Mechanics:
+1. **Structured Command Pair Generation**: Programmatically synthesizes natural language user queries mapped to exact, un-corrupted Linux CLI commands (`cd ..`, `ls -la`, `mkdir -p`, `grep -rn`, `chmod +x`, `git commit`, `docker run`, `curl`, `df -h`, `free -h`).
+2. **Interactive Shell Session Logs**: Generates multi-turn terminal session logs (`$ cd .. \n $ pwd \n /home/user`) to teach the model causal terminal prompt mechanics.
+3. **Chained Execution Logic**: Generates multi-command shell pipelines (`$ mkdir project && cd project && git init`).
+---
+## 📊 Dataset Schema & Files
+| File | Format | Description |
+| :--- | :--- | :--- |
+| **`terminal_dataset.py`** | Python | Raw generator script defining templates and dataset compilation logic. |
+| **`build_cli_only.py`** | Python | Execution script that built and uploaded this dataset to HF Hub. |
+| **`terminal_cli_commands.jsonl`** | JSON Lines | Structured JSON entries containing `question`, `command`, and `formatted_dialogue`. |
+| **`terminal_cli_commands.txt.gz`** | Compressed Text | Gzip-compressed raw text stream for direct PyTorch DataLoader streaming. |
+| **`terminal_cli_sample.txt`** | Plain Text | 500-line sample preview for instant browser inspection. |
+### JSONL Sample Entry:
+```json
+{
+  "id": 42,
+  "type": "qa_pair",
+  "question": "How do I navigate up one directory?",
+  "command": "cd ..",
+  "formatted_dialogue": "User: How do I navigate up one directory?\nAssistant: Run `cd ..`\n"
+}
+```
+---
+## 🔗 Related Models & Code
+* **5M Chinchilla Model**: [`kipasyangin5/5m-terminal-lm-chinchilla`](https://huggingface.co/kipasyangin5/5m-terminal-lm-chinchilla)
+* **5M Saturated Model**: [`kipasyangin5/5m-terminal-lm-saturated`](https://huggingface.co/kipasyangin5/5m-terminal-lm-saturated)
+* **Complete Training Code Folder**: [`kipasyangin5/5m-terminal-lm-chinchilla/tree/main/training_code`](https://huggingface.co/kipasyangin5/5m-terminal-lm-chinchilla/tree/main/training_code)
+* **Live Playground Space**: [`kipasyangin5/5m-terminal-lm-chat`](https://huggingface.co/spaces/kipasyangin5/5m-terminal-lm-chat)
+* **Official Collection**: [`kipasyangin5/5m-terminal-language-model-suite-6a6e83a13bb0effb11d9e53d`](https://huggingface.co/collections/kipasyangin5/5m-terminal-language-model-suite-6a6e83a13bb0effb11d9e53d)