Chemical mass kg d
chemical_mass_kg_d
Daily chemical mass
Scores if within ±3% of the reference value.
Calculates source-bound chemical dosing metrics from a deterministic SSC-10 task-owned source pack. The template combines dose mass, solution volume, storage refill margin, bund volume, dosing pump flow, control signal, and an overall synthetic pass score.
with-tool: The model is given an executable Python calculator script.
One template produces many comparable benchmark tasks while keeping the scoring contract fixed.
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The reusable contract shown on this page.
02
An archetype and site context are sampled.
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Inputs may be hidden at harder tiers.
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The model responds with the declared outputs.
Inputs the model receives, and the outputs it is scored on.
12 inputs
Included directly in every task prompt.
Flow rate
flow_rate_m3_d
FLOW-10-CHEM-03 process flow
Chemical dose
chemical_dose_mg_l
DOSE-10-BASIS-03 chemical dose
Solution strength
solution_strength_kg_l
DOSE-10-BASIS-03 solution strength
Required storage days
required_storage_days
TANK-10-STORAGE-03 required storage duration
Installed storage
installed_storage_m3
TANK-10-STORAGE-03 installed storage
Largest tank
largest_tank_m3
BUND-10-DETAIL-03 largest tank
Bund factor
bund_factor
BUND-10-DETAIL-03 containment factor
Rain allowance
rain_allowance_m3
BUND-10-DETAIL-03 rain allowance
Bund available
bund_available_m3
BUND-10-DETAIL-03 available bund volume
Pump operating hours d
pump_operating_hours_d
PUMP-10-CONTROL-03 daily dosing pump operating hours
Selected pump capacity
selected_pump_capacity_l_h
PUMP-10-CONTROL-03 selected pump capacity
Signal range
signal_range_l_h
PUMP-10-CONTROL-03 20 mA pump signal range
11 outputs
chemical_mass_kg_d
Daily chemical mass
Scores if within ±3% of the reference value.
solution_volume_l_d
Daily dosing solution volume
Scores if within ±3% of the reference value.
required_storage_m3
Required chemical storage
Scores if within ±3% of the reference value.
refill_margin_d
Installed refill margin
Scores if within ±3% of the reference value.
bund_required_m3
Required bund volume
Scores if within ±3% of the reference value.
bund_margin_m3
Available bund volume minus required bund volume
Scores if within ±3% of the reference value.
dosing_pump_flow_l_h
Required dosing pump flow
Scores if within ±3% of the reference value.
pump_capacity_margin_l_h
Selected pump capacity minus required pump flow
Scores if within ±3% of the reference value.
design_signal_ma
Design 4-20 mA signal
Scores if within ±3% of the reference value.
signal_headroom_ma
20 mA minus design signal
Scores if within ±3% of the reference value.
overall_pass_score
1.0 when storage, bund, pump, and signal margins are non-negative
Scores if within ±0.1% of the reference value.
Each template is sampled at three tiers. Harder tiers may hide inputs, forcing the model to infer them from the scenario description.
For this template, difficulty scales through parameter and scenario ranges rather than hidden information.
The exact instruction and parameter contract used to generate this task, pinned to the published library source.
/workspace
Teal lines show Jinja input conditions, not task visibility policy. A line renders only when that input or tool is visible.
1You are a wastewater process engineer checking a task-owned synthetic SSC-10 chemical dosing, storage, and containment package.2 3Use only the task-owned synthetic source pack values shown below for numeric grading. Chemical dosing, bund containment, pump selection, and 4-20 mA scaling workflows shape the context only; this instance does not parse a real source pack, vendor export, or authority-approved design.4 5## Scene6 7- Product: `SSC-10-LH-03`8- Process flow/load table: `FLOW-10-CHEM-03`9- Chemical dosing basis: `DOSE-10-BASIS-03`10- Tank/storage schedule: `TANK-10-STORAGE-03`11- Bund detail: `BUND-10-DETAIL-03`12- Pump/control schedule: `PUMP-10-CONTROL-03`13- Chemical system memo: `MEMO-10-CHEM-03`14 15## Source Values16 17| Item | Value |18| --- | --- |19| Process flow | {{ flow_rate_m3_d }} m3/d |20| Chemical dose | {{ chemical_dose_mg_l }} mg/L |21| Solution strength | {{ solution_strength_kg_l }} kg/L |22| Required storage | {{ required_storage_days }} d |23| Installed storage | {{ installed_storage_m3 }} m3 |24| Largest tank | {{ largest_tank_m3 }} m3 |25| Bund factor | {{ bund_factor }} |26| Rain allowance | {{ rain_allowance_m3 }} m3 |27| Available bund | {{ bund_available_m3 }} m3 |28| Pump operating hours | {{ pump_operating_hours_d }} h/d |29| Selected pump capacity | {{ selected_pump_capacity_l_h }} L/h |30| Signal range | {{ signal_range_l_h }} L/h |31 32## Calculation Rules33 34- Chemical mass equals `flow_rate_m3_d x chemical_dose_mg_l / 1000`.35- Solution volume equals chemical mass divided by solution strength.36- Required storage equals daily solution volume times required storage days.37- Refill margin equals installed storage duration minus required storage duration.38- Bund required equals largest tank times bund factor plus rain allowance.39- Dosing pump flow equals daily solution volume divided by pump operating hours.40- Design signal equals `4 + 16 x dosing_pump_flow_l_h / signal_range_l_h`.41- Overall pass score is `1.0` only when refill, bund, pump capacity, and signal headroom margins are non-negative.42 43## Output Format44 45Write a compact memo to `/workspace/output.md`. Include a source-boundary statement that this is a task-owned synthetic source pack. Preserve the source IDs above and state whether the baseline source pack passes the current docs-only checks.46 47Do not claim authority approval, accepted project evidence, software export validity, full standards compliance, executable real source-pack parsing, generated modelling evidence, generated benchmark readiness, or benchmark readiness.48 49Include a fenced JSON block with exactly these numeric keys:50 51```json52{53 "chemical_mass_kg_d": <numeric_value>,54 "solution_volume_l_d": <numeric_value>,55 "required_storage_m3": <numeric_value>,56 "refill_margin_d": <numeric_value>,57 "bund_required_m3": <numeric_value>,58 "bund_margin_m3": <numeric_value>,59 "dosing_pump_flow_l_h": <numeric_value>,60 "pump_capacity_margin_l_h": <numeric_value>,61 "design_signal_ma": <numeric_value>,62 "signal_headroom_ma": <numeric_value>,63 "overall_pass_score": <numeric_value>64}65```66 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.
ssc10_chemical_dosing_containment_case
Chemical dosing, storage, containment, and control source pack
chemical-dosing-containment-ssc10-chemical-dosing-containment-case-preview — hard difficulty, all inputs given.
Chemical dosing, storage, containment, and control source pack. chemical-dosing-containment. Required outputs: chemical_mass_kg_d, solution_volume_l_d, required_storage_m3, refill_margin_d, bund_required_m3, bund_margin_m3
Scenario context and visible inputs.
Executable tool: chemical-dosing-storage-containment-package_calc.py
Inputs withheld at this difficulty.
Nothing. All inputs are supplied.
The scored JSON answer schema.
{
"chemical_mass_kg_d": <number>,
"solution_volume_l_d": <number>,
"required_storage_m3": <number>,
"refill_margin_d": <number>,
"bund_required_m3": <number>,
"bund_margin_m3": <number>,
"dosing_pump_flow_l_h": <number>,
"pump_capacity_margin_l_h": <number>,
"design_signal_ma": <number>,
"signal_headroom_ma": <number>,
"overall_pass_score": <number>
}