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license: apache-2.0
tags:
- benchmark
- cuda
- gpu
- code-generation
- orbench
size_categories:
- 1B<n<10B
---
# ORBench Test Data
Test data for **ORBench** — a benchmark for evaluating LLMs on CPU-to-CUDA
code acceleration.
This repo hosts only the **input data + expected outputs**. The benchmark
harness (CPU references, task_io adapters, evaluation scripts) lives at
[github.com/YOURNAME/ORBench](https://github.com/YOURNAME/ORBench).
## Contents
| File | Size | Description |
|------|------|------|
| `small.tar.gz` | ~100 MB | Small inputs — for smoke tests (43 tasks) |
| `medium.tar.gz` | ~3.5 GB | Medium inputs — main leaderboard |
| `large.tar.gz` | ~8 GB | Large inputs — stress test |
| `manifest.json` | — | SHA256 + task metadata |
Each tarball extracts to `<task>/data/<size>/` containing:
- `input.bin` — binary input tensors (ORBench v2 format)
- `expected_output.txt` — reference output from CPU baseline
- `cpu_time_ms.txt` — CPU baseline wall time
- `requests.txt` — per-call queries (if applicable)
## Usage
```bash
# Clone the harness repo
git clone https://github.com/YOURNAME/ORBench.git
cd ORBench
# Install HF client
pip install huggingface_hub
# Download data
python3 scripts/download_data.py small # smoke
python3 scripts/download_data.py medium # main leaderboard
python3 scripts/download_data.py large # stress test
python3 scripts/download_data.py all # everything
# Run the benchmark
python3 -m framework.run_all_tasks \
--models gemini-3.1-pro-preview-openrouter \
--levels 3 --sizes medium --yes
```
## Verification
```bash
python3 scripts/download_data.py medium --verify
```
## Citation
If you use ORBench, please cite:
```bibtex
@misc{orbench2026,
title={ORBench: Evaluating LLMs on CPU-to-CUDA Code Acceleration},
author={...},
year={2026},
url={https://github.com/YOURNAME/ORBench}
}
```
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