File size: 4,394 Bytes
239a5e9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 | ---
license: cc-by-sa-4.0
task_categories:
- question-answering
- text-generation
language:
- en
tags:
- benchmark
- professional
- expert
- reasoning
- law
- medicine
- finance
- cybersecurity
- engineering
- llm-evaluation
- multiple-choice
size_categories:
- 1K<n<10K
---
# ProBench
A 4-choice multiple-choice benchmark of **529 expert-level questions** across five professional domains, sourced entirely from Stack Exchange communities (CC-BY-SA 4.0). Designed to evaluate LLMs where standard benchmarks (MMLU, HumanEval, HellaSwag) are now saturated above 90%.
## Why ProBench?
| Benchmark | Frontier model score | Status |
|---|---|---|
| MMLU | >90% | Saturated |
| HellaSwag | >95% | Saturated |
| HumanEval | >90% | Saturated |
| **ProBench** | TBD | Active |
Questions are sourced from real professional practitioners. Correct answers are community-verified (Stack Exchange accepted answers with high vote scores). Distractors are real expert-written text from the same domain — not synthetically generated.
## Dataset Structure
### Splits
| Split | Count |
|---|---|
| train | 370 |
| validation | 79 |
| test | 80 |
| **Total** | **529** |
### By Domain
| Domain | Source Community | Items |
|---|---|---|
| Cybersecurity | security.stackexchange.com | 148 |
| Law | law.stackexchange.com | 121 |
| Medicine | medicalsciences.stackexchange.com | 63 |
| Engineering | engineering.stackexchange.com | 113 |
| Finance | quant.stackexchange.com | 84 |
### Record Format
```json
{
"id": "cybersecurity_29988",
"domain": "cybersecurity",
"question_title": "What is certificate pinning?",
"question_body": "I've recently seen ...",
"question_score": 373,
"question_tags": ["tls", "certificates", "public-key-infrastructure"],
"choices": {
"A": "You can roll your own, but you probably will make a major security...",
"B": "Software is too complex. This is by far the most important factor...",
"C": "The known_hosts file lets the client authenticate the server...",
"D": "Typically certificates are validated by checking the signature hierarchy..."
},
"answer": "D",
"distractor_source": "same_domain_answer_pool",
"source": "stackexchange",
"license": "CC-BY-SA 4.0",
"url": "https://security.stackexchange.com/questions/29988/..."
}
```
## Evaluation
Evaluation is exact-match (0 or 1 per question) — fully automated, no human judge required.
```python
from datasets import load_dataset
ds = load_dataset("lin99/ProBench", split="test")
def evaluate(model, dataset):
correct = 0
for row in dataset:
prompt = f"""Domain: {row['domain']}
Question: {row['question_title']}
{row['question_body']}
A. {row['choices']['A']}
B. {row['choices']['B']}
C. {row['choices']['C']}
D. {row['choices']['D']}
Answer (A/B/C/D):"""
prediction = model(prompt).strip()[0].upper()
if prediction == row["answer"]:
correct += 1
return correct / len(dataset)
accuracy = evaluate(your_model, ds)
print(f"ProBench accuracy: {accuracy:.1%}")
```
## Quality Filters
| Filter | Threshold |
|---|---|
| Minimum question score | 10 upvotes |
| Minimum answer score | 5 upvotes |
| Accepted answers only | Yes |
| Minimum answer length | 30 words |
| Excluded question types | lifestyle, resource lists, book recommendations, tooling |
## Data Collection
- **Source**: Stack Exchange API + data dump (archive.org, 2024-12-31 release)
- **License**: CC-BY-SA 4.0 — free to use with attribution
- **Distractors**: Real expert-written answers from other questions in the same domain
- **No synthetic generation**: every word in every answer comes from a real human expert
## Citation
```bibtex
@dataset{probench2025,
title = {ProBench: Expert-Level MCQ Benchmark across 5 Professional Domains},
year = {2025},
note = {Sourced from Stack Exchange communities (CC-BY-SA 4.0)},
url = {https://huggingface.co/datasets/lin99/ProBench}
}
@misc{stackexchange_dump2024,
title = {Stack Exchange Data Dump},
author = {{Stack Exchange, Inc.}},
year = {2024},
url = {https://archive.org/details/stackexchange},
note = {Licensed under CC-BY-SA 4.0}
}
```
## License
All content is from Stack Exchange and licensed under **CC-BY-SA 4.0**.
Attribution to Stack Exchange communities is required. Each record includes the original URL.
|