metadata
language: en
license: mit
task_categories:
- text-classification
tags:
- decision-timing
- control-geometry
- reasoning
- clarus
- sios
size_categories:
- n<1K
pretty_name: Decision Timing Classification v0.1
What this dataset does
This dataset tests whether a model can judge whether action is being taken at the right time.
Core stability idea
Good decisions depend on timing.
The same action can be stabilizing early and useless late.
Decision timing is appropriate when action occurs before buffers close, damage spreads, or recovery options disappear.
Prediction target
Binary label:
- 1 = decision timing is appropriate
- 0 = decision timing is too late or poorly timed
Row structure
Each row contains:
- scenario_id
- scenario_text
- claim
- label
Files
- data/train.csv
- data/test.csv
- scorer.py
- README.md
Evaluation
python scorer.py --predictions predictions.csv --truth data/test.csv
Structural Note
This dataset is intentionally small.
Its purpose is to test whether a model can detect timing-sensitive control windows.
License
MIT