LIVEdataset aec-bench@releasetasks 552models 18last submission … · built …
mechanicalwith-tool

Occupant Load

Calculates occupant load from floor area and an explicit area-per-occupant criterion. The template reports unrounded occupants, design occupants rounded up to a whole person, and occupant density.

with-tool: The model is given an executable Python calculator script.

Standards

IBCNCC

Tags

deterministiclife-safetymechanicaloccupant-load

How this task is generated

One template produces many comparable benchmark tasks while keeping the scoring contract fixed.

  1. 01

    Template

    The reusable contract shown on this page.

  2. 02

    Scenario

    An archetype and site context are sampled.

  3. 03

    Difficulty tier

    Inputs may be hidden at harder tiers.

  4. 04

    Task prompt

    The model responds with the declared outputs.

Parameters

Inputs the model receives, and the outputs it is scored on.

Inputs

2 inputs

Always given

Included directly in every task prompt.

2

  • Floor area

    floor_area_m2

    Floor area being assessed

    1 – 20000 m2

  • Area per occupant m2

    area_per_occupant_m2

    Explicit area allowed per occupant

    0.5 – 100 m2/person

Scored outputs

3 outputs

Calculated occupants

calculated_occupants

Unrounded occupant count

Scores if within ±3% of the reference value.

Design occupants

design_occupants

Occupant count rounded up to a whole person

Scores if within ±1% of the reference value.

Occupant density person m2

occupant_density_person_m2

Design occupant density

Scores if within ±3% of the reference value.

Difficulty

Each template is sampled at three tiers. Harder tiers may hide inputs, forcing the model to infer them from the scenario description.

All inputs remain visible at every tier

For this template, difficulty scales through parameter and scenario ranges rather than hidden information.

easy:
All parameters given for an office floor
medium:
All parameters given across occupancy types
hard:
All parameters given for assembly occupancy

Task bundle

The exact instruction and parameter contract used to generate this task, pinned to the published library source.

/workspace

  • instruction.md
  • occupant-load_calc.py

Teal lines show Jinja input conditions, not task visibility policy. A line renders only when that input or tool is visible.

1You are a senior fire and life-safety engineer specializing in prescriptive occupancy checks.2 3## Problem4 5Calculate occupant load from floor area and an explicit area-per-occupant criterion.6 7## Given8 9| Parameter | Value | Unit |10|-----------|-------|------|11| Floor area | {{ floor_area_m2 }} | m2 |12| Area per occupant | {{ area_per_occupant_m2 }} | m2/person |13 14{% if archetype_description is defined %}15### Occupancy Context16 17{{ archetype_description }}18{% endif %}19 20{% if tool_available %}21## Available Tool22 23An occupant load calculation tool is available at `/workspace/{{ meta.name }}_calc.py`. Run it with:24 25```bash26python3 /workspace/{{ meta.name }}_calc.py --help27```28 29You may use this tool to verify your calculations or compute values directly.30{% endif %}31 32## Required33 34Calculate the following:35 361. Calculated occupant load before rounding372. Design occupant load rounded up to a whole person383. Occupant density in persons per m239 40## Constraints41 42- No internet access is available. Work from engineering knowledge and the provided tool.43- Use only the explicit area-per-occupant criterion provided.44- Round design occupants up to the next whole person.45 46## Output Format47 48Show your step-by-step working in Markdown. At the end of your solution, include a JSON block with your final answers in exactly this format:49 50```json51{52 "calculated_occupants": <numeric_value>,53 "design_occupants": <numeric_value>,54 "occupant_density_person_m2": <numeric_value>55}56```57 58Write your complete solution to `/workspace/output.md`.59 60

Scenario archetypes

Each generated task is drawn from one of these realistic scenario bands.

Site contexts ground each scenario in a real locale the model can use to infer hidden values.

Office floor

office_floor

Office floor occupant load check

office-floorcommercial-building
Parameter ranges
floor_area_m2
100 – 5000
area_per_occupant_m2
8 – 15

Assembly space

assembly_space

Assembly area occupant load check

assembly-spacestation-concourse
Parameter ranges
floor_area_m2
50 – 3000
area_per_occupant_m2
0.5 – 3

Example task

assembly-space-assembly-space-preview — hard difficulty, all inputs given.

Assembly area occupant load check. assembly-space. Required outputs: calculated_occupants, design_occupants, occupant_density_person_m2

The model sees

Scenario context and visible inputs.

floor_area_m2
50 to 3000 m2
area_per_occupant_m2
0.5 to 3 m2/person

Executable tool: occupant-load_calc.py

The model must infer

Inputs withheld at this difficulty.

Nothing. All inputs are supplied.

The model must produce

The scored JSON answer schema.

{
  "calculated_occupants": <number>,
  "design_occupants": <number>,
  "occupant_density_person_m2": <number>
}
  • calculated_occupants · scored within ±3%
  • design_occupants · scored within ±1%
  • occupant_density_person_m2 · scored within ±3%