| ---
|
| language:
|
| - en
|
| license: apache-2.0
|
| task_categories:
|
| - text-generation
|
| - question-answering
|
| pretty_name: Rust-Coder
|
| size_categories:
|
| - 10K<n<100K
|
| tags:
|
| - rust
|
| - programming
|
| - education
|
| - code-generation
|
| dataset_info:
|
| features:
|
| - name: id
|
| dtype: string
|
| - name: instruction
|
| dtype: string
|
| - name: code
|
| dtype: string
|
| - name: explanation
|
| dtype: string
|
| - name: category
|
| dtype: string
|
| - name: topic
|
| dtype: string
|
| - name: metadata
|
| struct:
|
| - name: adjective
|
| dtype: string
|
| - name: verb
|
| dtype: string
|
| - name: context
|
| dtype: string
|
| - name: length
|
| dtype: int64
|
| splits:
|
| - name: train
|
| num_examples: 10800
|
| - name: validation
|
| num_examples: 1200
|
| ---
|
|
|
| # 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
|
|
|
| ```python
|
| from datasets import load_dataset
|
|
|
| dataset = load_dataset("Convence/Rust-Coder")
|
| print(dataset['train'][0])
|
| ```
|
|
|
| ## License
|
|
|
| Apache 2.0
|
|
|
