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README.md

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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}
+}
+```