---
license: apache-2.0
task_categories:
  - text-retrieval
language:
  - en
tags:
  - smart-contracts
  - solidity
  - security
  - evaluation
  - benchmark
size_categories:
  - n<1K
---

# SCAR Evaluation Set

**838 held-out contrastive pairs** for evaluating smart contract vulnerability retrieval models. Constructed as a 10% stratified holdout from training sources plus the 91 original FORGE-Curated pairs (temporal holdout).

The split is performed at the **report level** — not the finding level — to prevent information leakage. Hash-based verification (SHA-256 on normalized source) confirms zero code overlap with [`scar-pairs`](https://huggingface.co/datasets/Farseen0/scar-pairs).

## Source Breakdown

| Source | Pairs |
|--------|-------|
| Solodit | 228 |
| msc-audits-with-reasons | 178 |
| msc-smart-contract-auditing | 131 |
| FORGE-Curated (original) | 91 |
| DeFiHackLabs | 67 |
| FORGE-Artifacts | 59 |
| FORGE-Curated-v2 | 36 |
| EVuLLM | 32 |
| SmartBugs-Curated | 14 |
| GitmateAI | 2 |
| **Total** | **838** |

## Headline Results on this Eval Set

| Method | R@1 | R@10 | nDCG@10 | MRR |
|---|---:|---:|---:|---:|
| BM25 | 0.504 | 0.689 | 0.591 | 0.566 |
| E5-base-v2 | 0.456 | 0.656 | 0.554 | 0.530 |
| SPLADE (Qwen) | 0.809 | 0.963 | 0.892 | 0.869 |
| **SCAR (25 epochs)** | **0.894** | **0.977** | **0.939** | **0.927** |
| **SCAR + BM25 hybrid** | 0.825 | **0.983** | 0.908 | 0.884 |

Improvement over BM25 statistically significant at *p* < 0.0001 (paired bootstrap, n = 10,000).

## Usage

```python
from datasets import load_dataset
ds = load_dataset("Farseen0/scar-eval", split="train")
```

## Related

- 🗂️ [All SCAR artifacts (Collection)](https://huggingface.co/collections/Farseen0/scar-sparse-code-audit-retriever)
- [`scar-pairs`](https://huggingface.co/datasets/Farseen0/scar-pairs) — 7,552 training pairs
- [`scar-corpus`](https://huggingface.co/datasets/Farseen0/scar-corpus) — 231k contract corpus
- [`scar-weights`](https://huggingface.co/Farseen0/scar-weights) — trained model weights

## Paper

This dataset accompanies *SCAR: Sparse Code Audit Retriever via SAE-LoRA Adaptation* (Farseen Shaikh, 2026).

- **Paper**: [OpenReview submission](https://openreview.net/forum?id=moD8Hxq9hN) (under review at EMNLP 2026, ACL ARR March cycle)
- **Code**: [github.com/FarseenSh/scar-retrieval](https://github.com/FarseenSh/scar-retrieval)
- **Model**: [Farseen0/scar-weights](https://huggingface.co/Farseen0/scar-weights)

## Citation

```bibtex
@inproceedings{shaikh2026scar,
  title  = {SCAR: Sparse Code Audit Retriever via SAE-LoRA Adaptation},
  author = {Shaikh, Farseen},
  year   = {2026},
  note   = {Under review at EMNLP 2026 (ACL ARR March cycle)},
  url    = {https://openreview.net/forum?id=moD8Hxq9hN}
}
```

## License

Apache 2.0 — free for research and commercial use with attribution.