Datasets:

archit11
/

hyperswitch-issue-to-code2

language:
  - en
license: mit
task_categories:
  - text-generation
tags:
  - rust
  - code
  - commit-messages
  - patches
  - sft
size_categories:
  - 1K<n<10K

Rust Commit Dataset - Hyperswitch

Dataset Description

This dataset contains Rust commit messages paired with their corresponding code patches from the Hyperswitch repository.

Dataset Summary

Total Examples: 231
Language: Rust
Source: Hyperswitch GitHub repository
Format: Prompt-response pairs for supervised fine-tuning (SFT)

Data Fields

prompt: The commit message describing the change
response: The git patch/diff showing the actual code changes

Example

{
  "prompt": "fix: update payment status handling",
  "response": "diff --git a/src/payment.rs b/src/payment.rs\n..."
}

Usage

from datasets import load_dataset

# Load dataset
dataset = load_dataset("archit11/hyperswitch-issue-to-code2")

# Access train/test splits
train_data = dataset['train']
test_data = dataset['test']

# Example
print(train_data[0]['prompt'])
print(train_data[0]['response'])

Training

This dataset is designed for fine-tuning code generation models on Rust commit-to-patch generation tasks.

Example training command:

python train_sft.py \
    --dataset archit11/hyperswitch-issue-to-code2 \
    --model Qwen/Qwen3-4B \
    --output_dir ./qwen-rust-sft \
    --use_4bit \
    --use_lora

Data Collection

The data was collected using PyDriller and tree-sitter for parsing Rust identifiers:

Only commits with 20+ lines changed are included
Rust-specific identifier tracking (functions, structs, enums, traits, impls, modules)

Citation

If you use this dataset, please cite the Hyperswitch repository:

@misc{hyperswitch2024,
  title={Hyperswitch},
  author={Juspay},
  year={2024},
  url={https://github.com/juspay/hyperswitch}
}

License

This dataset follows the same license as the Hyperswitch project.