task_symbolic__dice__pair_sum_probability

Public Taxonomy

1. Domain: symbolic
2. Scene id: dice
3. Task id: task_symbolic__dice__pair_sum_probability
4. Objective: two-tray exact-sum probability.

Program Contract

Program: dice.pair_sum_probability(scene=dice, scope=two_visible_trays, predicate=exact_sum, output=probability_option_letter)

Candidate set: the cartesian product of one die from tray A and one die from tray B. Operands: each die's top-face value in both trays and the sampled exact-sum target. Operation: count ordered tray-pair outcomes whose value sum equals the target and reduce favorable / total_outcomes. Output binding: answer is the letter of the visible A-F option whose reduced fraction is the requested probability. Annotation schema: bbox_map. Annotation witnesses: a bbox_map with tray_a and tray_b bboxes. Query ids: single.

Reasoning Operations

Families: filtering, counting, formula_evaluation

Generation And Trace

1. The task asks for the probability that one uniformly selected die from each tray has a sampled exact sum.
2. The execution trace records tray specs, die colors, die values, favorable outcome counts, total outcome counts, the exact reduced fraction, visible option fractions, and the selected answer label.
3. Scene variants are dice_tray_clean, dice_tray_felt, and dice_tray_notebook; dice visual style is non-semantic rendering metadata.
4. Annotation is projected from finalized tray geometry, not from pixels.
5. Scalar annotation checked: true.

Implementation

1. Registered class: trace_tasks.tasks.symbolic.dice.pair_sum_probability.SymbolicProbabilityDicePairSumProbabilityTask
2. Config: src/trace_tasks/resources/configs/domains/symbolic/dice.yaml
3. Prompt asset: src/trace_tasks/resources/prompts/symbolic/dice/symbolic_dice_probability_v1.json
4. Focused tests: tests/test_symbolic_probability_dice_tasks.py