| ---
|
| 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
|
|
|
| 126 pairs of **(question, real Rust code)** built from 1 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 |
|
| |---|---|---|---:|---:|---:|
|
| | [bee-san/RustScan](https://github.com/bee-san/RustScan) | `937903340a` | GPL-3.0-only | 14 | 127 | 126 |
|
|
|
| ## Rows by kind
|
|
|
| | kind | rows |
|
| |---|---:|
|
| | function | 51 |
|
| | method | 48 |
|
| | struct | 17 |
|
| | enum | 5 |
|
| | macro | 4 |
|
| | trait | 1 |
|
|
|
| ## Example
|
|
|
| **Question**
|
|
|
| > I need a function called `old_payload_for_port` that retrieves a static byte slice payload associated with a given port from a predefined mapping. The mapping is a static `BTreeMap` where each key is a `Vec<u16>` representing valid ports, and each value is a `Vec<u8>` payload. The function should accept a `&'static BTreeMap<Vec<u16>, Vec<u8>>` and a `u16` port, and return a `&'static [u8]`. It should iterate through the map entries and return the payload of the first entry whose port list contains the given port. If no entry matches, it should return an empty static byte slice.
|
|
|
| **Answer** (`bee-san/RustScan` - `benches/benchmark_helpers.rs`)
|
|
|
| ```rust
|
| fn old_payload_for_port(udp_map: &'static BTreeMap<Vec<u16>, Vec<u8>>, port: u16) -> &'static [u8] {
|
| let mut payload: &'static [u8] = b"";
|
| for (ports, value) in udp_map.iter() {
|
| if ports.contains(&port) {
|
| payload = value.as_slice();
|
| }
|
| }
|
| payload
|
| }
|
| ```
|
|
|
| ## Usage
|
|
|
| ```python
|
| 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.
|
|
|
