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Typed Decision Bench · tasks · Real-time and agents

bfcl-tool-dispatch

agent routing and skill selection · software engineering · 200 items · primary question type choice. Source minpeter/bfcl-v1-non-live-ast-parsed (Apache-2.0); labels are expert labels, never an LLM judge. Download these samples (JSON).

SystemDecisionScoreAccuracy (top pick)Answered
Jev97.697.0%200 / 200
OpenJev96.596.0%200 / 200
JevFish95.795.0%200 / 200
decider-2b92.189.0%200 / 200
System One Scorer83.279.0%200 / 200
NanoJev61.045.4%196 / 200
Sample 1 of 6 · real-time-and-agents:bfcl-11 · 221 state tokens (common tier)

Turn 1 — the request (identical for every system)

State (JSON)
{
  "request": "Calculate the roots of a quadratic equation with coefficients 5, 20, and -25",
  "tools": [
    {
      "key": "math_roots_cubic",
      "description": "Calculate the roots of a cubic equation.",
      "required": [
        "a",
        "b",
        "c",
        "d"
      ]
    },
    {
      "key": "math_triangle_area_base_height",
      "description": "Calculates the area of a triangle using the formula (1/2)base*height.",
      "required": [
        "base",
        "height"
      ]
    },
    {
      "key": "math_gcd",
      "description": "Calculates the greatest common divisor of two numbers.",
      "required": [
        "num1",
        "num2"
      ]
    },
    {
      "key": "math_power",
      "description": "Calculate the power of one number raised to another.",
      "required": [
        "base",
        "exponent"
      ]
    },
    {
      "key": "math_lcm",
      "description": "Calculates the least common multiple of two numbers.",
      "required": [
        "num1",
        "num2"
      ]
    },
    {
      "key": "math_roots_quadratic",
      "description": "Calculate the roots of a quadratic equation.",
      "required": [
        "a",
        "b",
        "c"
      ]
    },
    {
      "key": "math_roots_polynomial",
      "description": "Calculate the roots of a polynomial equation.",
      "required": [
        "coefficients"
      ]
    }
  ]
}

Question tool · choice · primary (ranked)

Which entry of `tools` should be invoked to satisfy `request`? Use each tool's description and required parameters; if none of them can do it, choose none_of_these.

8 options
  • math_roots_cubic — Calculate the roots of a cubic equation.
  • math_triangle_area_base_height — Calculates the area of a triangle using the formula (1/2)base*height.
  • math_gcd — Calculates the greatest common divisor of two numbers.
  • math_power — Calculate the power of one number raised to another.
  • math_lcm — Calculates the least common multiple of two numbers.
  • math_roots_quadratic — Calculate the roots of a quadratic equation.
  • math_roots_polynomial — Calculate the roots of a polynomial equation.
  • none_of_these — No offered tool can satisfy the request; do not call any of them.

Turn 2 — each system's response · Turn 3 — the grade

Expected answer: math_roots_quadratic

SystemTop pickGradeP(expected)Proper scoreDistribution
Jevmath_roots_quadraticcorrect100.0%1.000
  • math_roots_quadratic 100.0%
  • math_roots_polynomial 0.0%
  • none_of_these 0.0%
  • math_gcd 0.0%
  • math_power 0.0%
  • math_triangle_area_base_height 0.0%
OpenJevmath_roots_quadraticcorrect100.0%1.000
  • math_roots_quadratic 100.0%
  • math_roots_cubic 0.0%
  • math_triangle_area_base_height 0.0%
  • math_power 0.0%
  • math_roots_polynomial 0.0%
  • none_of_these 0.0%
JevFishmath_roots_quadraticcorrect99.7%1.000
  • math_roots_quadratic 99.7%
  • none_of_these 0.1%
  • math_roots_polynomial 0.1%
  • math_roots_cubic 0.0%
  • math_gcd 0.0%
  • math_power 0.0%
decider-2bmath_roots_quadraticcorrect96.9%0.999
  • math_roots_quadratic 96.9%
  • math_roots_polynomial 2.0%
  • none_of_these 0.8%
  • math_lcm 0.1%
  • math_roots_cubic 0.1%
  • math_triangle_area_base_height 0.1%
System One Scorermath_roots_quadratic
input truncated
correct43.1%0.741
  • math_roots_quadratic 43.1%
  • none_of_these 43.1%
  • math_roots_polynomial 9.1%
  • math_roots_cubic 3.2%
  • math_triangle_area_base_height 0.5%
  • math_power 0.4%
NanoJevmath_roots_quadraticcorrect28.6%0.697
  • math_roots_quadratic 28.6%
  • math_roots_cubic 21.6%
  • math_lcm 13.7%
  • math_triangle_area_base_height 12.8%
  • math_gcd 9.5%
  • math_roots_polynomial 5.7%
Sample 2 of 6 · real-time-and-agents:bfcl-122-withdrawn · 261 state tokens (common tier)

Turn 1 — the request (identical for every system)

State (JSON)
{
  "request": "Run a linear regression model with predictor variables 'Age', 'Income' and 'Education' and a target variable 'Purchase_Amount'. Also apply standardization.",
  "tools": [
    {
      "key": "air_quality_forecast",
      "description": "Retrieve an air quality forecast for a specific location and time frame.",
      "required": [
        "location",
        "days"
      ]
    },
    {
      "key": "cooking_conversion_convert",
      "description": "Convert cooking measurements from one unit to another.",
      "required": [
        "quantity",
        "from_unit",
        "to_unit",
        "item"
      ]
    },
    {
      "key": "electromagnetic_force",
      "description": "Calculate the electromagnetic force between two charges placed at a certain distance.",
      "required": [
        "charge1",
        "charge2",
        "distance"
      ]
    },
    {
      "key": "find_recipe",
      "description": "Locate a recipe based on name and its calorie content",
      "required": [
        "recipeName"
      ]
    },
    {
      "key": "travel_itinerary_generator",
      "description": "Generate a travel itinerary based on specific destination, duration and daily budget, …",
      "required": [
        "destination",
        "days",
        "daily_budget"
      ]
    },
    {
      "key": "european_history_get_monarchs",
      "description": "Provides a list of monarchs based on the specified country and century.",
      "required": [
        "country",
        "century"
      ]
    },
    {
      "key": "mutation_type_find",
      "description": "Finds the type of a genetic mutation based on its SNP (Single Nucleotide Polymorphism) ID.",
      "required": [
        "snp_id"
      ]
    }
  ]
}

Question tool · choice · primary (ranked)

Which entry of `tools` should be invoked to satisfy `request`? Use each tool's description and required parameters; if none of them can do it, choose none_of_these.

8 options
  • air_quality_forecast — Retrieve an air quality forecast for a specific location and time frame.
  • cooking_conversion_convert — Convert cooking measurements from one unit to another.
  • electromagnetic_force — Calculate the electromagnetic force between two charges placed at a certain distance.
  • find_recipe — Locate a recipe based on name and its calorie content
  • travel_itinerary_generator — Generate a travel itinerary based on specific destination, duration and daily budget, …
  • european_history_get_monarchs — Provides a list of monarchs based on the specified country and century.
  • mutation_type_find — Finds the type of a genetic mutation based on its SNP (Single Nucleotide Polymorphism) ID.
  • none_of_these — No offered tool can satisfy the request; do not call any of them.

Turn 2 — each system's response · Turn 3 — the grade

Expected answer: none_of_these

SystemTop pickGradeP(expected)Proper scoreDistribution
Jevnone_of_thesecorrect100.0%1.000
  • none_of_these 100.0%
  • air_quality_forecast 0.0%
  • travel_itinerary_generator 0.0%
  • european_history_get_monarchs 0.0%
  • mutation_type_find 0.0%
  • find_recipe 0.0%
OpenJevnone_of_thesecorrect100.0%1.000
  • none_of_these 100.0%
  • cooking_conversion_convert 0.0%
  • air_quality_forecast 0.0%
  • mutation_type_find 0.0%
  • european_history_get_monarchs 0.0%
  • find_recipe 0.0%
JevFishnone_of_thesecorrect99.7%1.000
  • none_of_these 99.7%
  • travel_itinerary_generator 0.1%
  • air_quality_forecast 0.1%
  • cooking_conversion_convert 0.0%
  • mutation_type_find 0.0%
  • find_recipe 0.0%
decider-2bnone_of_thesecorrect99.4%1.000
  • none_of_these 99.4%
  • travel_itinerary_generator 0.2%
  • find_recipe 0.1%
  • electromagnetic_force 0.1%
  • cooking_conversion_convert 0.1%
  • mutation_type_find 0.1%
System One Scorernone_of_these
input truncated
correct98.4%1.000
  • none_of_these 98.4%
  • travel_itinerary_generator 0.5%
  • european_history_get_monarchs 0.4%
  • find_recipe 0.2%
  • mutation_type_find 0.2%
  • air_quality_forecast 0.1%
NanoJevair_quality_forecastwrong3.0%0.343
  • air_quality_forecast 57.4%
  • travel_itinerary_generator 18.3%
  • find_recipe 8.2%
  • mutation_type_find 4.4%
  • european_history_get_monarchs 4.1%
  • electromagnetic_force 3.1%
  • none_of_these 3.0%
Sample 3 of 6 · real-time-and-agents:bfcl-126 · 244 state tokens (common tier)

Turn 1 — the request (identical for every system)

State (JSON)
{
  "request": "Find the statistical significance between two set of variables, dataset_A with the values 12, 24, 36 and dataset_B with the values 15, 30, 45.",
  "tools": [
    {
      "key": "perform_string_reverse",
      "description": "Reverses a given string.",
      "required": [
        "input_string"
      ]
    },
    {
      "key": "geometry_area_triangle",
      "description": "Calculate the area of a triangle.",
      "required": [
        "base",
        "height"
      ]
    },
    {
      "key": "event_finder_find_upcoming",
      "description": "Find upcoming events of a specific genre in a given location.",
      "required": [
        "location",
        "genre"
      ]
    },
    {
      "key": "calculate_compound_interest",
      "description": "Calculates the compound interest of an investment over a given time period.",
      "required": [
        "principle",
        "interest_rate",
        "time"
      ]
    },
    {
      "key": "t_test",
      "description": "Perform a statistical t-test to check if the means of two independent datasets are …",
      "required": [
        "dataset_A",
        "dataset_B"
      ]
    },
    {
      "key": "unit_conversion",
      "description": "Convert a value from one unit to another.",
      "required": [
        "value",
        "from_unit",
        "to_unit"
      ]
    },
    {
      "key": "solve_quadratic",
      "description": "Find the roots of a quadratic equation. Returns both roots.",
      "required": [
        "a",
        "b",
        "c"
      ]
    }
  ]
}

Question tool · choice · primary (ranked)

Which entry of `tools` should be invoked to satisfy `request`? Use each tool's description and required parameters; if none of them can do it, choose none_of_these.

8 options
  • perform_string_reverse — Reverses a given string.
  • geometry_area_triangle — Calculate the area of a triangle.
  • event_finder_find_upcoming — Find upcoming events of a specific genre in a given location.
  • calculate_compound_interest — Calculates the compound interest of an investment over a given time period.
  • t_test — Perform a statistical t-test to check if the means of two independent datasets are …
  • unit_conversion — Convert a value from one unit to another.
  • solve_quadratic — Find the roots of a quadratic equation. Returns both roots.
  • none_of_these — No offered tool can satisfy the request; do not call any of them.

Turn 2 — each system's response · Turn 3 — the grade

Expected answer: t_test

SystemTop pickGradeP(expected)Proper scoreDistribution
Jevt_testcorrect100.0%1.000
  • t_test 100.0%
  • none_of_these 0.0%
  • event_finder_find_upcoming 0.0%
  • perform_string_reverse 0.0%
  • unit_conversion 0.0%
  • geometry_area_triangle 0.0%
OpenJevt_testcorrect100.0%1.000
  • t_test 100.0%
  • calculate_compound_interest 0.0%
  • solve_quadratic 0.0%
  • perform_string_reverse 0.0%
  • geometry_area_triangle 0.0%
  • unit_conversion 0.0%
JevFisht_testcorrect99.8%1.000
  • t_test 99.8%
  • none_of_these 0.1%
  • unit_conversion 0.0%
  • calculate_compound_interest 0.0%
  • perform_string_reverse 0.0%
  • solve_quadratic 0.0%
decider-2bt_testcorrect95.7%0.998
  • t_test 95.7%
  • none_of_these 4.0%
  • unit_conversion 0.1%
  • solve_quadratic 0.1%
  • event_finder_find_upcoming 0.1%
  • geometry_area_triangle 0.0%
System One Scorert_test
input truncated
correct76.6%0.950
  • t_test 76.6%
  • none_of_these 21.4%
  • solve_quadratic 1.0%
  • unit_conversion 0.2%
  • event_finder_find_upcoming 0.2%
  • perform_string_reverse 0.2%
NanoJevt_testcorrect34.7%0.751
  • t_test 34.7%
  • perform_string_reverse 14.6%
  • solve_quadratic 13.2%
  • event_finder_find_upcoming 12.1%
  • calculate_compound_interest 9.0%
  • unit_conversion 8.8%
Sample 4 of 6 · real-time-and-agents:bfcl-164 · 247 state tokens (common tier)

Turn 1 — the request (identical for every system)

State (JSON)
{
  "request": "What's the retail price of a Fender American Professional II Stratocaster in Rosewood Finish?",
  "tools": [
    {
      "key": "hotel_room_pricing_get",
      "description": "Get pricing for a specific type of hotel room for specified number of nights.",
      "required": [
        "hotelName",
        "roomType",
        "nights"
      ]
    },
    {
      "key": "calculate_npv",
      "description": "Calculate the NPV (Net Present Value) of an investment, considering a series of future …",
      "required": [
        "cash_flows",
        "discount_rate"
      ]
    },
    {
      "key": "legal_case_fetch",
      "description": "Fetch detailed legal case information from database.",
      "required": [
        "case_id",
        "details"
      ]
    },
    {
      "key": "linear_regression",
      "description": "Applies linear regression to a given set of independent variables to make a prediction.",
      "required": [
        "independent_var",
        "dependent_var"
      ]
    },
    {
      "key": "get_stock_price",
      "description": "Get the closing stock price for a specific company on a specified date.",
      "required": [
        "company_name",
        "date"
      ]
    },
    {
      "key": "instrument_price_get",
      "description": "Retrieve the current retail price of a specific musical instrument.",
      "required": [
        "brand",
        "model",
        "finish"
      ]
    },
    {
      "key": "grocery_store_find_nearby",
      "description": "Locate nearby grocery stores based on specific criteria like organic fruits and …",
      "required": [
        "location"
      ]
    }
  ]
}

Question tool · choice · primary (ranked)

Which entry of `tools` should be invoked to satisfy `request`? Use each tool's description and required parameters; if none of them can do it, choose none_of_these.

8 options
  • hotel_room_pricing_get — Get pricing for a specific type of hotel room for specified number of nights.
  • calculate_npv — Calculate the NPV (Net Present Value) of an investment, considering a series of future …
  • legal_case_fetch — Fetch detailed legal case information from database.
  • linear_regression — Applies linear regression to a given set of independent variables to make a prediction.
  • get_stock_price — Get the closing stock price for a specific company on a specified date.
  • instrument_price_get — Retrieve the current retail price of a specific musical instrument.
  • grocery_store_find_nearby — Locate nearby grocery stores based on specific criteria like organic fruits and …
  • none_of_these — No offered tool can satisfy the request; do not call any of them.

Turn 2 — each system's response · Turn 3 — the grade

Expected answer: instrument_price_get

SystemTop pickGradeP(expected)Proper scoreDistribution
Jevinstrument_price_getcorrect100.0%1.000
  • instrument_price_get 100.0%
  • calculate_npv 0.0%
  • get_stock_price 0.0%
  • none_of_these 0.0%
  • legal_case_fetch 0.0%
  • hotel_room_pricing_get 0.0%
OpenJevinstrument_price_getcorrect99.9%1.000
  • instrument_price_get 99.9%
  • hotel_room_pricing_get 0.1%
  • none_of_these 0.0%
  • calculate_npv 0.0%
  • linear_regression 0.0%
  • grocery_store_find_nearby 0.0%
JevFishinstrument_price_getcorrect99.9%1.000
  • instrument_price_get 99.9%
  • none_of_these 0.0%
  • hotel_room_pricing_get 0.0%
  • calculate_npv 0.0%
  • grocery_store_find_nearby 0.0%
  • get_stock_price 0.0%
decider-2binstrument_price_getcorrect98.5%1.000
  • instrument_price_get 98.5%
  • none_of_these 1.4%
  • calculate_npv 0.0%
  • legal_case_fetch 0.0%
  • get_stock_price 0.0%
  • hotel_room_pricing_get 0.0%
System One Scorernone_of_these
input truncated
wrong1.2%0.052
  • none_of_these 95.9%
  • instrument_price_get 1.2%
  • grocery_store_find_nearby 0.9%
  • get_stock_price 0.7%
  • calculate_npv 0.4%
  • linear_regression 0.4%
NanoJevhotel_room_pricing_getwrong13.3%0.405
  • hotel_room_pricing_get 64.8%
  • instrument_price_get 13.3%
  • calculate_npv 12.4%
  • get_stock_price 3.6%
  • linear_regression 2.4%
  • legal_case_fetch 1.6%
Sample 5 of 6 · real-time-and-agents:bfcl-69 · 299 state tokens (common tier)

Turn 1 — the request (identical for every system)

State (JSON)
{
  "request": "Determine my personality type based on the five factor model with given information: I'm talkative, gets nervous easily, has few artistic interests, tend to be lazy and has a forgiving nature.",
  "tools": [
    {
      "key": "shuffle_card_probability",
      "description": "Calculate the probability of a specific card appearing from a shuffled deck.",
      "required": [
        "desired_card"
      ]
    },
    {
      "key": "calc_simple_interest",
      "description": "Compute simple interest.",
      "required": [
        "principle_amount",
        "duration",
        "annual_rate"
      ]
    },
    {
      "key": "detailed_weather_forecast",
      "description": "Retrieve a detailed weather forecast for a specific location and duration including …",
      "required": [
        "location",
        "duration"
      ]
    },
    {
      "key": "species_distribution_modeling_project_range_shift",
      "description": "Predict the potential future geographic distribution of a species under a specified …",
      "required": [
        "species",
        "climate_scenario"
      ]
    },
    {
      "key": "five_factor_model_analyse",
      "description": "Analyse personality based on the five-factor model, also known as the Big Five, which …",
      "required": [
        "talkative",
        "nervous",
        "artistic_interests",
        "lazy",
        "forgiving"
      ]
    },
    {
      "key": "finance_loan_repayment",
      "description": "Calculates the monthly repayment for a loan.",
      "required": [
        "loan_amount",
        "interest_rate",
        "loan_term"
      ]
    },
    {
      "key": "mbti_analyse",
      "description": "Analyse personality based on the Myers-Briggs Type Indicator (MBTI) which sorts for …",
      "required": [
        "thinking_vs_feeling",
        "introverted_vs_extroverted",
        "judging_vs_perceiving",
        "sensing_vs_intuition"
      ]
    }
  ]
}

Question tool · choice · primary (ranked)

Which entry of `tools` should be invoked to satisfy `request`? Use each tool's description and required parameters; if none of them can do it, choose none_of_these.

8 options
  • shuffle_card_probability — Calculate the probability of a specific card appearing from a shuffled deck.
  • calc_simple_interest — Compute simple interest.
  • detailed_weather_forecast — Retrieve a detailed weather forecast for a specific location and duration including …
  • species_distribution_modeling_project_range_shift — Predict the potential future geographic distribution of a species under a specified …
  • five_factor_model_analyse — Analyse personality based on the five-factor model, also known as the Big Five, which …
  • finance_loan_repayment — Calculates the monthly repayment for a loan.
  • mbti_analyse — Analyse personality based on the Myers-Briggs Type Indicator (MBTI) which sorts for …
  • none_of_these — No offered tool can satisfy the request; do not call any of them.

Turn 2 — each system's response · Turn 3 — the grade

Expected answer: five_factor_model_analyse

SystemTop pickGradeP(expected)Proper scoreDistribution
Jevfive_factor_model_analysecorrect100.0%1.000
  • five_factor_model_analyse 100.0%
  • none_of_these 0.0%
  • species_distribution_modeling_project_range_shift 0.0%
  • calc_simple_interest 0.0%
  • detailed_weather_forecast 0.0%
  • finance_loan_repayment 0.0%
OpenJevfive_factor_model_analysecorrect100.0%1.000
  • five_factor_model_analyse 100.0%
  • finance_loan_repayment 0.0%
  • species_distribution_modeling_project_range_shift 0.0%
  • mbti_analyse 0.0%
  • shuffle_card_probability 0.0%
  • none_of_these 0.0%
JevFishfive_factor_model_analysecorrect99.1%1.000
  • five_factor_model_analyse 99.1%
  • none_of_these 0.7%
  • mbti_analyse 0.1%
  • species_distribution_modeling_project_range_shift 0.1%
  • shuffle_card_probability 0.0%
  • calc_simple_interest 0.0%
decider-2bfive_factor_model_analysecorrect97.6%1.000
  • five_factor_model_analyse 97.6%
  • none_of_these 2.1%
  • mbti_analyse 0.2%
  • finance_loan_repayment 0.0%
  • detailed_weather_forecast 0.0%
  • shuffle_card_probability 0.0%
System One Scorerfive_factor_model_analyse
input truncated
correct69.2%0.918
  • five_factor_model_analyse 69.2%
  • none_of_these 26.2%
  • mbti_analyse 2.4%
  • detailed_weather_forecast 0.8%
  • species_distribution_modeling_project_range_shift 0.5%
  • calc_simple_interest 0.4%
NanoJevunanswered · 00no answer (input over this system's limit)
Sample 6 of 6 · real-time-and-agents:bfcl-72 · 233 state tokens (common tier)

Turn 1 — the request (identical for every system)

State (JSON)
{
  "request": "What was the population of California in 1970?",
  "tools": [
    {
      "key": "gettopgoalscorers",
      "description": "Returns the top goal scorers for a specific competition and team",
      "required": [
        "competition",
        "team",
        "number"
      ]
    },
    {
      "key": "us_president_in_year",
      "description": "Retrieve the name of the U.S. president in a given year.",
      "required": [
        "year"
      ]
    },
    {
      "key": "geodistance_find",
      "description": "Find the distance between two cities on the globe.",
      "required": [
        "origin",
        "destination"
      ]
    },
    {
      "key": "us_economy_gdp_by_state_year",
      "description": "Retrieve historical GDP data for a specific U.S. state and year.",
      "required": [
        "state",
        "year"
      ]
    },
    {
      "key": "us_history_get_president",
      "description": "Retrieve the U.S. president during a specific event in American history.",
      "required": [
        "event",
        "year"
      ]
    },
    {
      "key": "gettopassists",
      "description": "Returns the top assist makers for a specific competition and team",
      "required": [
        "competition",
        "team",
        "number"
      ]
    },
    {
      "key": "us_history_population_by_state_year",
      "description": "Retrieve historical population data for a specific U.S. state and year.",
      "required": [
        "state",
        "year"
      ]
    }
  ]
}

Question tool · choice · primary (ranked)

Which entry of `tools` should be invoked to satisfy `request`? Use each tool's description and required parameters; if none of them can do it, choose none_of_these.

8 options
  • gettopgoalscorers — Returns the top goal scorers for a specific competition and team
  • us_president_in_year — Retrieve the name of the U.S. president in a given year.
  • geodistance_find — Find the distance between two cities on the globe.
  • us_economy_gdp_by_state_year — Retrieve historical GDP data for a specific U.S. state and year.
  • us_history_get_president — Retrieve the U.S. president during a specific event in American history.
  • gettopassists — Returns the top assist makers for a specific competition and team
  • us_history_population_by_state_year — Retrieve historical population data for a specific U.S. state and year.
  • none_of_these — No offered tool can satisfy the request; do not call any of them.

Turn 2 — each system's response · Turn 3 — the grade

Expected answer: us_history_population_by_state_year

SystemTop pickGradeP(expected)Proper scoreDistribution
Jevus_history_population_by_state_yearcorrect100.0%1.000
  • us_history_population_by_state_year 100.0%
  • us_history_get_president 0.0%
  • geodistance_find 0.0%
  • gettopgoalscorers 0.0%
  • us_president_in_year 0.0%
  • gettopassists 0.0%
OpenJevus_history_population_by_state_yearcorrect100.0%1.000
  • us_history_population_by_state_year 100.0%
  • none_of_these 0.0%
  • gettopgoalscorers 0.0%
  • us_president_in_year 0.0%
  • geodistance_find 0.0%
  • us_history_get_president 0.0%
JevFishus_history_population_by_state_yearcorrect99.9%1.000
  • us_history_population_by_state_year 99.9%
  • none_of_these 0.1%
  • us_president_in_year 0.0%
  • geodistance_find 0.0%
  • us_economy_gdp_by_state_year 0.0%
  • gettopgoalscorers 0.0%
decider-2bus_history_population_by_state_yearcorrect82.1%0.970
  • us_history_population_by_state_year 82.1%
  • none_of_these 16.8%
  • us_history_get_president 0.2%
  • us_president_in_year 0.2%
  • us_economy_gdp_by_state_year 0.2%
  • geodistance_find 0.2%
System One Scorernone_of_these
input truncated
wrong14.1%0.291
  • none_of_these 82.4%
  • us_history_population_by_state_year 14.1%
  • us_economy_gdp_by_state_year 1.1%
  • gettopassists 0.7%
  • us_history_get_president 0.6%
  • gettopgoalscorers 0.5%
NanoJevus_history_population_by_state_yearcorrect35.1%0.731
  • us_history_population_by_state_year 35.1%
  • gettopgoalscorers 30.0%
  • us_president_in_year 11.2%
  • us_economy_gdp_by_state_year 9.8%
  • us_history_get_president 6.2%
  • gettopassists 4.3%