Fast Decisions

Fast Decisions is a benchmark for the abilities the benchmark was built to measure. The official description says: "Fast Decisions dataset (fastino/fast-decisions on Hugging Face), quick binary judgment tasks". Below we describe in simple words what benchmarks of this type generally examine.

Fast 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

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: Fast Decisions dataset (fastino/fast-decisions on Hugging Face), quick binary judgment tasks. Values reported as percentage. Source: https://huggingface.co/datasets/fastino/fast-decisions

What is the Fast Decisions benchmark?

Fast Decisions is a benchmark for the abilities the benchmark was built to measure. The official description says: 'Fast Decisions dataset (fastino/fast-decisions on Hugging Face), quick binary judgment tasks'. Below we describe in simple words what benchmarks of this type generally examine.

What does Fast Decisions test?

Fast 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 Fast 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 Fast Decisions data and scores?

The official source is https://huggingface.co/datasets/fastino/fast-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/fast-decisions/scores) or pull it directly from the Open LLM Radar API with any HTTP client.