Datasets:
license: other
task_categories:
- text-generation
language:
- en
tags:
- rust
- code
- instruction-tuning
- synthetic
size_categories:
- n<1K
configs:
- config_name: default
data_files:
- split: train
path: data/train-*.parquet
Rust code instruction dataset
410 pairs of (question, real Rust code) built from 6 open-source GitHub repositories.
Each answer is original Rust source. Each question was written by nvidia/nemotron-3.5-lightning-30b-a3b from the code context; the model does not generate the answer.
Source repositories
| repository | commit | license | files | chunks | rows |
|---|---|---|---|---|---|
| TheAlgorithms/Rust | fed66cb0c7 |
MIT | 421 | 174 | 163 |
| reyamira/models | 73997bf31e |
MIT | 78 | 29 | 23 |
| AreevAI/flowcat | 9eb2999c33 |
Apache-2.0 | 192 | 88 | 66 |
| cortex/ripasso | 25f855dfc3 |
GPL-3.0-only | 22 | 21 | 18 |
| brentongunning/rust-sv | f2c9e939b3 |
MIT | 54 | 22 | 21 |
| lightningdevkit/rust-lightning | 48e8d4745e |
Apache-2.0 OR MIT | 257 | 138 | 119 |
Rows by kind
| kind | rows |
|---|---|
| file | 410 |
Example
Question
I need a Rust module that declares several backtracking algorithm submodules and re-exports their public functions. The module should define submodules named all_combination_of_size_k, graph_coloring, hamiltonian_cycle, knight_tour, n_queens, parentheses_generator, permutations, rat_in_maze, subset_sum, and sudoku. It must re-export exactly these functions with these exact names: generate_all_combinations, generate_colorings, find_hamiltonian_cycle, find_knight_tour, n_queens_solver, generate_parentheses, permute, find_path_in_maze, has_subset_with_sum, and sudoku_solver. Please generate the module declarations and pub use statements that match this structure.
Answer (TheAlgorithms/Rust - src/backtracking/mod.rs)
mod all_combination_of_size_k;
mod graph_coloring;
mod hamiltonian_cycle;
mod knight_tour;
mod n_queens;
mod parentheses_generator;
mod permutations;
mod rat_in_maze;
mod subset_sum;
mod sudoku;
pub use all_combination_of_size_k::generate_all_combinations;
pub use graph_coloring::generate_colorings;
pub use hamiltonian_cycle::find_hamiltonian_cycle;
pub use knight_tour::find_knight_tour;
pub use n_queens::n_queens_solver;
pub use parentheses_generator::generate_parentheses;
pub use permutations::permute;
pub use rat_in_maze::find_path_in_maze;
pub use subset_sum::has_subset_with_sum;
pub use sudoku::sudoku_solver;
Usage
from datasets import load_dataset
dataset = load_dataset("Shadow0482/rust", split="train")
print(dataset[0]["question"])
print(dataset[0]["answer"])
License and attribution
Code in answer remains under the license of the source repository shown in the license and repo_url columns. Follow that license when redistributing or training on the data. The questions are synthetic; follow the terms of the model provider used to create them.