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# Reproduction: SPEED-Bench
**Paper**: SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding
**OpenReview**: https://openreview.net/forum?id=Rl2uQlCoQX
**arXiv**: https://arxiv.org/abs/2604.09557
**Dataset**: https://huggingface.co/datasets/nvidia/SPEED-Bench
## Structure
- `src/` - source code for reproduction experiments
- `tests/` - unit tests
- `configs/` - configuration files
- `outputs/` - raw experimental outputs
- `figures/` - generated figures
- `artifacts/` - persistent artifacts for logbook
- `logs/` - execution logs
## Protocol
See [protocol.md](protocol.md) for detailed claim-by-claim reproduction plan.
## Quick Start
```bash
# Dataset verification
python src/verify_dataset.py
# Semantic diversity analysis
python src/analyze_diversity.py
# Toy speculative decoding experiments
python src/minimal_sd.py
```

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