datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
multi_SWE_Bench_Rust
multi_SWE_Bench_Rust
数据集描述...
assemblage-rust
Assemblage-Rust
Consider using your coding agent to test, download and process the data, repository size
is 1.5T and it is highly likely you only want a portion of it, but do remember to
check the agent outputs.
Produced by Assemblage, a distributed
binary-corpus generator, a cite would be greatly appreciated!
Teh dataset contains127,165 compiled Rust binaries from 77,004 builds
of 10,766 permissively
licensed GitHub repositories, each paired with DWARF-derived function and… See the full description on the dataset page: https://huggingface.co/datasets/changliu8541/assemblage-rust.the-stack-rust-clean
Dataset 1: TheStack - Rust - Cleaned
Description: This dataset is drawn from TheStack Corpus, an open-source code dataset with over 3TB of GitHub data covering 48 programming languages. We selected a small portion of this dataset to optimize smaller language models for Rust, a popular statically typed language.
Target Language: Rust
Dataset Size:
Training: 900,000 files
Validation: 50,000 files
Test: 50,000 files
Preprocessing:
Selected Rust as the target language due to its… See the full description on the dataset page: https://huggingface.co/datasets/ammarnasr/the-stack-rust-clean.multiswe_rustbenchRustins_Super_Mega_Awesome_VEDU_Model
Rustin's Super Mega Awesome VEDU Model
A reproducible, heavily-documented pipeline that maps Ventenata dubia ("VEDU", an invasive
winter-annual grass) across Montana from satellite + environmental data.
Science reference: docs/VEDU_48_predictors_detailed.md
Data decisions & gotchas: docs/CONTRADICTIONS.md
Parity with the Earth Engine build: docs/GEE_PARITY.md
Continue-the-build guide: docs/HANDOFF.md
Label inventory: docs/DATA_SOURCES.md
What it produces
57… See the full description on the dataset page: https://huggingface.co/datasets/UniversityOfMontanaSAL/Rustins_Super_Mega_Awesome_VEDU_Model.rust-the-stack-v2Multi-SWE-smith-Rust-GLM-4.6-trajectorieslearn-rust
Knowledge base from the Rust books
Gaia node setup instructions
See the Gaia node getting started guide
gaianet init --config https://raw.githubusercontent.com/GaiaNet-AI/node-configs/main/llama-3.1-8b-instruct_rustlang/config.json
gaianet start
with the full 128k context length of Llama 3.1
gaianet init --config https://raw.githubusercontent.com/GaiaNet-AI/node-configs/main/llama-3.1-8b-instruct_rustlang/config.fullcontext.json
gaianet start
Steps to create… See the full description on the dataset page: https://huggingface.co/datasets/gaianet/learn-rust.qwen35-9b-m0-v4-rust-rlRust-Coder
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.… See the full description on the dataset page: https://huggingface.co/datasets/Convence/Rust-Coder.Strandset-Rust-v1
Strandset-Rust-v1
Overview
Strandset-Rust-v1 is a large, high-quality synthetic dataset built to advance code modeling for the Rust programming language.Generated and validated through Fortytwo’s Swarm Inference, it contains 191,008 verified examples across 15 task categories, spanning code generation, bug detection, refactoring, optimization, documentation, and testing.
Rust’s unique ownership and borrowing system makes it one of the most challenging languages for… See the full description on the dataset page: https://huggingface.co/datasets/Fortytwo-Network/Strandset-Rust-v1.russian-handwriting-ocr
Russian Handwritten Text Recognition Dataset
Датасет для распознавания русских рукописных текстов (сочинений).
Описание
Этот датасет содержит изображения рукописных русских текстов с их расшифровкой.
Предназначен для дообучения vision-language моделей (например, Qwen3 VL) на задачу OCR русского рукописного текста.
Статистика
Всего образцов: 13050
Train: 11745
Validation: 1305
Уникальных текстов: 575
Средняя длина текста: 3790 символов
Типы изображений… See the full description on the dataset page: https://huggingface.co/datasets/rustensai/russian-handwriting-ocr.qwen35-4b-m0-v4-rust-rlrustbenchrustbenchCorrosion_Rustru-stsbenchmark-stsMagicoder-OSS-Instruct-Rust-cleaned-3.9K
🦀 Magicoder-OSS-Instruct-Rust (3.9K Cleaned)
Magicoder-OSS-Instruct-Rust is a high-quality, syntax-verified dataset of 3,909 Rust coding instructions derived from real-world open-source GitHub projects.
This dataset is extracted from ise-uiuc/Magicoder-OSS-Instruct-75K, filtered specifically for Rust, and validated via in-memory compiler checks. No language translation was applied; the dataset remains in its original English format.
⚙️ Filtering and Verification… See the full description on the dataset page: https://huggingface.co/datasets/WrittenWithRust/Magicoder-OSS-Instruct-Rust-cleaned-3.9K.github-file-programs-dataset-rustrust-simuzbek-asr-benchmark-spontaneous
Uzbek Spontaneous Speech ASR Benchmark
A 311-clip, 1.98-hour test set for Uzbek speech recognition, built from
spontaneous YouTube speech: podcasts, interviews and multi-speaker
conversation with overlapping turns, fillers, code-switching into Russian, and
dialect spelling. Every transcript that an automatic difficulty check flagged
as possibly wrong was corrected by hand — 118 of the 311 — and the protocol
below says exactly which ones and why.
It exists because the public… See the full description on the dataset page: https://huggingface.co/datasets/rustam1221/uzbek-asr-benchmark-spontaneous.rustmizan-eval-logs
RustMizan – Agentic Eval Logs
inspect_ai evaluation logs that produced the RQ1 – RQ4 numbers in the RustMizan paper (NeurIPS 2026 Evaluations & Datasets Track, under review). Released alongside the rustmizan-org/mizan-vanilla dataset and the code framework.
What's here
16 .eval files — one per (frontier model × dataset variant) combination:
4 dataset variants: mizan-vanilla, mizan-benign, mizan-malignant, mizan-rust-specific.
4 frontier models: Claude Sonnet 4.6, GPT… See the full description on the dataset page: https://huggingface.co/datasets/rustmizan-org/rustmizan-eval-logs.rustbench-385rustbench_500RUST_dataset
Ferrous Corpus: Advanced Rust Knowledge & Crate Documentation
A comprehensive, version-controlled dual-corpus dataset designed for Rust language pre-training, continued pre-training, and domain adaptation of Large Language Models. This dataset combines deep theoretical foundations from official Rust governance/learning materials with practical, real-world third-party crate implementations and documentation.
Dataset Details
Dataset Description
The… See the full description on the dataset page: https://huggingface.co/datasets/Playfulbug/RUST_dataset.nllb-200-distilled-600M-rust
NLLB-200
This is the model card of NLLB-200's distilled 600M variant.
Here are the metrics for that particular checkpoint.
Information about training algorithms, parameters, fairness constraints or other applied approaches, and features. The exact training algorithm, data and the strategies to handle data imbalances for high and low resource languages that were used to train NLLB-200 is described in the paper.
Paper or other resource for more information NLLB Team et al, No… See the full description on the dataset page: https://huggingface.co/datasets/vpermilp/nllb-200-distilled-600M-rust.ru_stackoverflow
Russian StackOverflow dataset
Description
Summary: Dataset of questions, answers, and comments from ru.stackoverflow.com.
Script: create_stackoverflow.py
Point of Contact: Ilya Gusev
Languages: The dataset is in Russian with some programming code.
Usage
Prerequisites:
pip install datasets zstandard jsonlines pysimdjson
Loading:
from datasets import load_dataset
dataset = load_dataset('IlyaGusev/ru_stackoverflow', split="train")
for example in dataset:… See the full description on the dataset page: https://huggingface.co/datasets/IlyaGusev/ru_stackoverflow.RustEvo2
RustEvo²
RustEvo² is the first benchmark for evaluating LLMs' ability to adapt to evolving Rust APIs, as described in the paper "RustEvo²: An Evolving Benchmark for API Evolution in LLM-based Rust Code Generation".
Dataset Overview
Our work can be divided into two phases:
Phase I: API Evolution Data Collection - We collect API changes from multiple sources including official Rust repositories and third-party crates. We analyze changelogs, documentation, and… See the full description on the dataset page: https://huggingface.co/datasets/SYSUSELab/RustEvo2.RustRepoTrans
Evaluating Large Language Models in Repository-level Code Translation
RustRepoTrans is the first repository-level code translation benchmark described in the paper "RustRepoTrans: Repository-level Code Translation Benchmark Targeting Rust". Feel free to contact us to submit new results.
Benchmark Dataset
RustRepoTrans, the first repository-level code translation benchmark comprising 375 tasks targeting Rust, consists of 122 java-rust function pairs, 145 c-rust function… See the full description on the dataset page: https://huggingface.co/datasets/SYSUSELab/RustRepoTrans.rustbench_selected