Introducing bench-effortless-6-2026
We are releasing the first structured evaluation dataset from Seton Labs, designed to measure how well AI systems handle basic reasoning, comprehension, and common knowledge.
What is this?
bench-effortless-6-2026 is a lightweight benchmark containing
240 question-answer pairs across 6 core cognitive categories.
It is called Effortless because it does not test advanced intelligence — it tests whether a model can consistently avoid failing on simple tasks.
Categories
| Category | Description | Rows |
|---|---|---|
| Math | Basic arithmetic | 40 |
| Logic | Simple inference | 42 |
| Language | Text comprehension | 40 |
| Knowledge | Common factual knowledge | 42 |
| Commonsense | Everyday reasoning | 37 |
| Pattern Recognition | Basic sequence prediction | 37 |
Why it matters
Even the simplest benchmarks reveal instability in model reasoning. A system that fails at Effortless tasks is not ready for higher-level intelligence evaluation.
This benchmark acts as a sanity layer before moving to harder evaluations like Easy, Mid, Hard, and UltraHard.
Data format
{"category":"Math","difficulty":"Effortless","question":"What is 2 + 2?","answer":"4"}
{"category":"Logic","difficulty":"Effortless","question":"If all cats are animals, is a cat an animal?","answer":"Yes"}
Each entry is deterministic, single-answer, and human-verifiable. The dataset is stored in JSONL format for simplicity and streaming compatibility.
Design philosophy
- No ambiguity
- No trick questions
- No external knowledge dependencies beyond common sense
- Strictly single correct answers
Seton Labs
A community focused on AI generalization and strong intelligence systems.
This is the first step toward a full multi-level benchmark suite: Effortless → Easy → Mid → Hard → UltraHard.