Typed Decisions
Typed Decisions dataset (LocalLLaMA/typed-decisions on Hugging Face), decision tasks with typed answers (numbers, dates, choices). Values reported as percentage. Source: https://huggingface.co/datasets/LocalLLaMA/typed-decisions
Category
Decision
Score type
percent
Scale
100%
higher is better
Models tested
1
What is Typed Decisions?
Typed Decisions is a benchmark for the abilities the benchmark was built to measure. The official description says: "Typed Decisions dataset (LocalLLaMA/typed-decisions on Hugging Face), decision tasks with typed answers (numbers, dates, choices)". Below we describe in simple words what benchmarks of this type generally examine.
What does it test?
Typed Decisions measures the abilities the benchmark was built to measure. In detail, it checks:
- tasks representative of the benchmark's stated purpose
- consistent scoring rules so models can be compared fairly
- difficulty calibrated so top models do not max out easily
How to read the score
The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.
Official methodology note: Typed Decisions dataset (LocalLLaMA/typed-decisions on Hugging Face), decision tasks with typed answers (numbers, dates, choices). Values reported as percentage. Source: https://huggingface.co/datasets/LocalLLaMA/typed-decisions
Frequently asked questions
What is the Typed Decisions benchmark?
Typed Decisions is a benchmark for the abilities the benchmark was built to measure. The official description says: 'Typed Decisions dataset (LocalLLaMA/typed-decisions on Hugging Face), decision tasks with typed answers (numbers, dates, choices)'. Below we describe in simple words what benchmarks of this type generally examine.
What does Typed Decisions test?
Typed Decisions mainly measures the abilities the benchmark was built to measure. Concretely, it checks: tasks representative of the benchmark's stated purpose; consistent scoring rules so models can be compared fairly; difficulty calibrated so top models do not max out easily.
How is the Typed Decisions score calculated?
The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better. The declared maximum score of this benchmark is 100.0.
Where do I get Typed Decisions data and scores?
The official source is https://huggingface.co/datasets/LocalLLaMA/typed-decisions. The official benchmark page/reference is linked on this page. Every score on Open LLM Radar is also available as open data: download the scores JSON (http://open-llm-radar-api:8000/api/v1/benchmarks/typed-decisions/scores) or pull it directly from the Open LLM Radar API with any HTTP client.
Benchmark data & downloads
Where to get, inspect and reuse the data behind this benchmark.
Official benchmark page / paper
The benchmark maintainer's website, paper or leaderboard
Benchmark metadata (JSON)
This page's benchmark record from the Open LLM Radar API
All model scores (JSON download)
Full score table as JSON; paginate with limit/offset params
Open LLM Radar API docs
Swagger UI to explore and reuse all radar API endpoints
Model scores 1 model tested
| # | Model | Score | Date | Source | Verified |
|---|---|---|---|---|---|
| 1 |
d1-2B
LiquidAI
|
61.3%
|
— | LiquidAI/d1-2B model card (performance table) | Unverified |