Rust-Coder

Rust-Coder is a comprehensive text dataset designed for Rust programming language learning. It contains 12,000 unique samples focusing on distinct Rust concepts, code snippets, and explanations.

Dataset Structure

Each sample consists of:

• id: A unique UUID.
• instruction: A prompt or question about a Rust concept.
• code: An idiomatic Rust code snippet.
• explanation: A detailed explanation of the concept and code.
• category: The high-level Rust category (e.g., Ownership & Borrowing).
• topic: The specific topic within the category.
• metadata: Additional details like used adjectives, verbs, and context.

Covered Topics

• Ownership & Borrowing
• Types & Data Structures
• Control Flow & Logic
• Functions & Methods
• Error Handling
• Standard Library & Collections
• Concurrency & Parallelism
• Macros & Metaprogramming
• Unsafe & FFI
• Cargo & Tooling

Duplicate Detection

Strict duplicate detection was implemented using SHA-256 hashing of instructions and code snippets to ensure 100% uniqueness across all 12,000 samples.

Usage

from datasets import load_dataset

dataset = load_dataset("Convence/Rust-Coder")
print(dataset['train'][0])

License

Apache 2.0