SCOPE Experimental Design - Datasets (CoT-only): leaderboard
Metric: Sub-dimension score (out of 5) for dataset selection: rubric scores from a GPT-5.2 judge against the ground-truth experimental design of 300 recent ICML, NeurIPS and ICLR papers in 19 research domains; a redline rule zeros a sub-dimension with a fatal flaw such as a hallucinated dataset or baseline, an incompatible metric or a violated constraint; chain-of-thought prompting without search. Source: arxiv.org. Saturation forecast: Around August 2028. 7 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.2 | 2.18 |
| 2 | Claude Sonnet 4.5 | 2.01 |
| 3 | Gemini 3 Pro | 1.85 |
| 4 | Grok 4 | 1.8 |
| 5 | DeepSeek V3.2 | 1.76 |
| 6 | Kimi K2 | 1.68 |
| 7 | Qwen 3 Max | 1.64 |
Interactive version: theaggregate.ai/benchmark?slug=scope-experimental-design-datasets-cot-only · How It Works · Data refreshed daily, snapshot 2026-09-26.