Datasets:
metadata
pretty_name: API-Upgrade
license: other
task_categories:
- text-generation
language:
- en
tags:
- code
- rust
- software-engineering
- arxiv:2607.13921
API-Upgrade
API-Upgrade evaluates repository-level Rust synthesis against newer dependency APIs.
This dataset was used for evaluation in the paper Generative Compilation: On-the-Fly Compiler Feedback as AI Generates Code. You can find the corresponding evaluation code in the project GitHub repository.
Example Usage
from datasets import load_dataset
import json
dataset = load_dataset("eth-sri/API-Upgrade")
for instance in dataset["test"]:
print(json.dumps(instance, indent=2))
break
Example Instance
{
"id": "test/addr2line__0.25.1_to_0.26.0/output/src/lib.rs",
"project": "addr2line__0.25.1_to_0.26.0",
"project_rel": "test/addr2line__0.25.1_to_0.26.0/output",
"interface_path": "src/lib.rs",
"target_path": "src/lib.rs",
"interface_code": "pub fn ... {\n unimplemented!();\n}",
"prompt_files": [
{
"path": "Cargo.toml",
"code": "...",
"language": "toml"
}
],
"prompt": "...",
"answer_prefix": "src/lib.rs\n```rust\n"
}
Each row also includes the complete rendered prompt, the answer_prefix used
to start model generation, and the structured source fields needed to inspect
the task.
License
The benchmark combines source code from multiple upstream projects. The license of each upstream project continues to apply to its code; consult the source files and the project repository for the corresponding license notices.