llamastack/bfcl_v3__old huggingface dataset:
system: 
You are an expert in composing functions. You are given a question and a set of possible functions.
Based on the question, you will need to make one or more function/tool calls to achieve the purpose.
If none of the function can be used, point it out. If the given question lacks the parameters required by the function,
also point it out. You should only return the function call in tools call sections.

If you decide to invoke any of the function(s), you MUST put it in the format of [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)]

You SHOULD NOT include any other text in the response.

Here is a list of functions in JSON format that you can invoke.

[{'name': 'calc_binomial_prob', 'description': 'Calculates the probability of an outcome based on the binomial distribution Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'num_trials': {'type': 'integer', 'description': 'Number of independent experiments.'}, 'num_success': {'type': 'integer', 'description': 'Number of times the event of interest has occurred.'}, 'prob_success': {'type': 'float', 'description': 'Probability of the event of interest on any single experiment.'}}, 'required': ['num_trials', 'num_success', 'prob_success']}}]


user: Calculate the probability of observing 60 heads if I flip a coin 100 times with probability of heads 0.5.

Available functions:
[{"name": "calc_binomial_prob", "description": "Calculates the probability of an outcome based on the binomial distribution", "parameters": {"type": "dict", "properties": {"num_trials": {"type": "integer", "description": "Number of independent experiments."}, "num_success": {"type": "integer", "description": "Number of times the event of interest has occurred."}, "prob_success": {"type": "float", "description": "Probability of the event of interest on any single experiment."}}, "required": ["num_trials", "num_success", "prob_success"]}}]

Ground truth: [{"calc_binomial_prob": {"num_trials": [100], "num_success": [60], "prob_success": [0.5]}}]
system: 
You are an expert in composing functions. You are given a question and a set of possible functions.
Based on the question, you will need to make one or more function/tool calls to achieve the purpose.
If none of the function can be used, point it out. If the given question lacks the parameters required by the function,
also point it out. You should only return the function call in tools call sections.

If you decide to invoke any of the function(s), you MUST put it in the format of [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)]

You SHOULD NOT include any other text in the response.

Here is a list of functions in JSON format that you can invoke.

[{'name': 'chi_squared_test', 'description': 'Performs a Chi-Squared test for independence on a 2x2 contingency table. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'table': {'type': 'array', 'items': {'type': 'array', 'items': {'type': 'integer'}}, 'description': 'A 2x2 contingency table presented in array form.'}, 'alpha': {'type': 'float', 'description': 'Significance level for the Chi-Squared test. Default is 0.05.'}}, 'required': ['table']}}]


user: Perform a Chi-Squared test for independence on a 2x2 contingency table [ [10, 20], [30, 40] ]

Available functions:
[{"name": "chi_squared_test", "description": "Performs a Chi-Squared test for independence on a 2x2 contingency table.", "parameters": {"type": "dict", "properties": {"table": {"type": "array", "items": {"type": "array", "items": {"type": "integer"}}, "description": "A 2x2 contingency table presented in array form."}, "alpha": {"type": "float", "description": "Significance level for the Chi-Squared test. Default is 0.05."}}, "required": ["table"]}}]

Ground truth: [{"chi_squared_test": {"table": [[[10, 20], [30, 40]]], "alpha": [0.05, ""]}}]
system: 
You are an expert in composing functions. You are given a question and a set of possible functions.
Based on the question, you will need to make one or more function/tool calls to achieve the purpose.
If none of the function can be used, point it out. If the given question lacks the parameters required by the function,
also point it out. You should only return the function call in tools call sections.

If you decide to invoke any of the function(s), you MUST put it in the format of [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)]

You SHOULD NOT include any other text in the response.

Here is a list of functions in JSON format that you can invoke.

[{'name': 'hypothesis_testing.two_sample_t_test', 'description': 'Perform a two-sample t-test to determine if there is a significant difference between the means of two independent samples. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'group1': {'type': 'array', 'items': {'type': 'float'}, 'description': 'Sample observations from group 1.'}, 'group2': {'type': 'array', 'items': {'type': 'float'}, 'description': 'Sample observations from group 2.'}, 'alpha': {'type': 'float', 'description': 'Significance level for the t-test. Default is 0.05.'}}, 'required': ['group1', 'group2']}}]


user: Perform a two-sample t-test to determine if there is a significant difference between the mean of group1 (e.g., 12.4, 15.6, 11.2, 18.9) and group2 (e.g., 10.5, 9.8, 15.2, 13.8) at the significance level 0.05.

Available functions:
[{"name": "hypothesis_testing.two_sample_t_test", "description": "Perform a two-sample t-test to determine if there is a significant difference between the means of two independent samples.", "parameters": {"type": "dict", "properties": {"group1": {"type": "array", "items": {"type": "float"}, "description": "Sample observations from group 1."}, "group2": {"type": "array", "items": {"type": "float"}, "description": "Sample observations from group 2."}, "alpha": {"type": "float", "description": "Significance level for the t-test. Default is 0.05."}}, "required": ["group1", "group2"]}}]

Ground truth: [{"hypothesis_testing.two_sample_t_test": {"group1": [[12.4, 15.6, 11.2, 18.9]], "group2": [[10.5, 9.8, 15.2, 13.8]], "alpha": [0.05, ""]}}]
system: 
You are an expert in composing functions. You are given a question and a set of possible functions.
Based on the question, you will need to make one or more function/tool calls to achieve the purpose.
If none of the function can be used, point it out. If the given question lacks the parameters required by the function,
also point it out. You should only return the function call in tools call sections.

If you decide to invoke any of the function(s), you MUST put it in the format of [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)]

You SHOULD NOT include any other text in the response.

Here is a list of functions in JSON format that you can invoke.

[{'name': 't_test', 'description': 'Perform a statistical t-test to check if the means of two independent datasets are statistically different. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'dataset_A': {'type': 'array', 'items': {'type': 'integer'}, 'description': 'Dataset A for comparison.'}, 'dataset_B': {'type': 'array', 'items': {'type': 'integer'}, 'description': 'Dataset B for comparison.'}, 'alpha': {'type': 'float', 'description': 'Significance level for the test. Default is 0.05.'}}, 'required': ['dataset_A', 'dataset_B']}}]


user: 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.

Available functions:
[{"name": "t_test", "description": "Perform a statistical t-test to check if the means of two independent datasets are statistically different.", "parameters": {"type": "dict", "properties": {"dataset_A": {"type": "array", "items": {"type": "integer"}, "description": "Dataset A for comparison."}, "dataset_B": {"type": "array", "items": {"type": "integer"}, "description": "Dataset B for comparison."}, "alpha": {"type": "float", "description": "Significance level for the test. Default is 0.05."}}, "required": ["dataset_A", "dataset_B"]}}]

Ground truth: [{"t_test": {"dataset_A": [[12, 24, 36]], "dataset_B": [[15, 30, 45]], "alpha": [0.05, ""]}}]
system: 
You are an expert in composing functions. You are given a question and a set of possible functions.
Based on the question, you will need to make one or more function/tool calls to achieve the purpose.
If none of the function can be used, point it out. If the given question lacks the parameters required by the function,
also point it out. You should only return the function call in tools call sections.

If you decide to invoke any of the function(s), you MUST put it in the format of [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)]

You SHOULD NOT include any other text in the response.

Here is a list of functions in JSON format that you can invoke.

[{'name': 'predict_house_price', 'description': 'Predict house price based on area, number of rooms and year of construction. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'area': {'type': 'integer', 'description': 'Area of the house in square feet.'}, 'rooms': {'type': 'integer', 'description': 'Number of rooms in the house.'}, 'year': {'type': 'integer', 'description': 'Year when the house was constructed.'}, 'location': {'type': 'string', 'description': 'The location or city of the house.'}}, 'required': ['area', 'rooms', 'year', 'location']}}]


user: Predict house price in San Francisco based on its area of 2500 square feet, number of rooms as 5 and year of construction is 1990.

Available functions:
[{"name": "predict_house_price", "description": "Predict house price based on area, number of rooms and year of construction.", "parameters": {"type": "dict", "properties": {"area": {"type": "integer", "description": "Area of the house in square feet."}, "rooms": {"type": "integer", "description": "Number of rooms in the house."}, "year": {"type": "integer", "description": "Year when the house was constructed."}, "location": {"type": "string", "description": "The location or city of the house."}}, "required": ["area", "rooms", "year", "location"]}}]

Ground truth: [{"predict_house_price": {"area": [2500], "rooms": [5], "year": [1990], "location": ["San Francisco", "SF"]}}]
system: 
You are an expert in composing functions. You are given a question and a set of possible functions.
Based on the question, you will need to make one or more function/tool calls to achieve the purpose.
If none of the function can be used, point it out. If the given question lacks the parameters required by the function,
also point it out. You should only return the function call in tools call sections.

If you decide to invoke any of the function(s), you MUST put it in the format of [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)]

You SHOULD NOT include any other text in the response.

Here is a list of functions in JSON format that you can invoke.

[{'name': 'linear_regression.get_r_squared', 'description': 'Calculate the coefficient of determination of a regression model. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'dataset_path': {'type': 'string', 'description': 'Path to the CSV dataset file.'}, 'independent_variables': {'type': 'array', 'items': {'type': 'string'}, 'description': 'The independent variables to use in the regression model.'}, 'dependent_variable': {'type': 'string', 'description': 'The dependent variable to predict in the regression model.'}}, 'required': ['dataset_path', 'independent_variables', 'dependent_variable']}}]


user: What is the coefficient of determination (R-squared) for a model using engine size and fuel economy variables to predict car_price with a dataset in path C:/data/cars.csv?

Available functions:
[{"name": "linear_regression.get_r_squared", "description": "Calculate the coefficient of determination of a regression model.", "parameters": {"type": "dict", "properties": {"dataset_path": {"type": "string", "description": "Path to the CSV dataset file."}, "independent_variables": {"type": "array", "items": {"type": "string"}, "description": "The independent variables to use in the regression model."}, "dependent_variable": {"type": "string", "description": "The dependent variable to predict in the regression model."}}, "required": ["dataset_path", "independent_variables", "dependent_variable"]}}]

Ground truth: [{"linear_regression.get_r_squared": {"dataset_path": ["C:/data/cars.csv"], "independent_variables": [["engine_size", "fuel_economy"]], "dependent_variable": ["car_price"]}}]
system: 
You are an expert in composing functions. You are given a question and a set of possible functions.
Based on the question, you will need to make one or more function/tool calls to achieve the purpose.
If none of the function can be used, point it out. If the given question lacks the parameters required by the function,
also point it out. You should only return the function call in tools call sections.

If you decide to invoke any of the function(s), you MUST put it in the format of [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)]

You SHOULD NOT include any other text in the response.

Here is a list of functions in JSON format that you can invoke.

[{'name': 'calculate_NPV', 'description': 'Calculate the NPV (Net Present Value) of an investment, considering a series of future cash flows, discount rate, and an initial investment. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'cash_flows': {'type': 'array', 'items': {'type': 'integer'}, 'description': 'Series of future cash flows.'}, 'discount_rate': {'type': 'float', 'description': 'The discount rate to use.'}, 'initial_investment': {'type': 'integer', 'description': 'The initial investment. Default is 0 if not specified.'}}, 'required': ['cash_flows', 'discount_rate']}}]


user: Find the Net Present Value (NPV) of an investment, given cash_flows=[200,300,400,500], a discount rate of 10%, and an initial investment of $2000.

Available functions:
[{"name": "calculate_NPV", "description": "Calculate the NPV (Net Present Value) of an investment, considering a series of future cash flows, discount rate, and an initial investment.", "parameters": {"type": "dict", "properties": {"cash_flows": {"type": "array", "items": {"type": "integer"}, "description": "Series of future cash flows."}, "discount_rate": {"type": "float", "description": "The discount rate to use."}, "initial_investment": {"type": "integer", "description": "The initial investment. Default is 0 if not specified."}}, "required": ["cash_flows", "discount_rate"]}}]

Ground truth: [{"calculate_NPV": {"cash_flows": [[200, 300, 400, 500]], "discount_rate": [0.1], "initial_investment": [2000]}}]
system: 
You are an expert in composing functions. You are given a question and a set of possible functions.
Based on the question, you will need to make one or more function/tool calls to achieve the purpose.
If none of the function can be used, point it out. If the given question lacks the parameters required by the function,
also point it out. You should only return the function call in tools call sections.

If you decide to invoke any of the function(s), you MUST put it in the format of [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)]

You SHOULD NOT include any other text in the response.

Here is a list of functions in JSON format that you can invoke.

[{'name': 'finance.calculate_quarterly_dividend_per_share', 'description': 'Calculate quarterly dividend per share for a company given total dividend payout and outstanding shares Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'total_payout': {'type': 'integer', 'description': 'The total amount of dividends paid out in USD'}, 'outstanding_shares': {'type': 'integer', 'description': 'Total number of outstanding shares'}}, 'required': ['total_payout', 'outstanding_shares'], 'optional': []}}]


user: What's the quarterly dividend per share of a company with 100 million outstanding shares and total dividend payout of 50 million USD?

Available functions:
[{"name": "finance.calculate_quarterly_dividend_per_share", "description": "Calculate quarterly dividend per share for a company given total dividend payout and outstanding shares", "parameters": {"type": "dict", "properties": {"total_payout": {"type": "integer", "description": "The total amount of dividends paid out in USD"}, "outstanding_shares": {"type": "integer", "description": "Total number of outstanding shares"}}, "required": ["total_payout", "outstanding_shares"], "optional": []}}]

Ground truth: [{"finance.calculate_quarterly_dividend_per_share": {"total_payout": [50000000], "outstanding_shares": [100000000]}}]
system: 
You are an expert in composing functions. You are given a question and a set of possible functions.
Based on the question, you will need to make one or more function/tool calls to achieve the purpose.
If none of the function can be used, point it out. If the given question lacks the parameters required by the function,
also point it out. You should only return the function call in tools call sections.

If you decide to invoke any of the function(s), you MUST put it in the format of [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)]

You SHOULD NOT include any other text in the response.

Here is a list of functions in JSON format that you can invoke.

[{'name': 'calculate_discounted_cash_flow', 'description': 'Calculate the discounted cash flow of a bond for a given annual coupon payment, time frame and discount rate. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'coupon_payment': {'type': 'integer', 'description': 'The annual coupon payment.'}, 'period': {'type': 'integer', 'description': 'The time frame in years for which coupon payment is made.'}, 'discount_rate': {'type': 'float', 'description': 'The discount rate.'}, 'face_value': {'type': 'integer', 'description': 'The face value of the bond, default is 1000.'}}, 'required': ['coupon_payment', 'period', 'discount_rate']}}]


user: Calculate the discounted cash flow of a bond that is giving a coupon payment of $100 annually for next 5 years with discount rate 4%.

Available functions:
[{"name": "calculate_discounted_cash_flow", "description": "Calculate the discounted cash flow of a bond for a given annual coupon payment, time frame and discount rate.", "parameters": {"type": "dict", "properties": {"coupon_payment": {"type": "integer", "description": "The annual coupon payment."}, "period": {"type": "integer", "description": "The time frame in years for which coupon payment is made."}, "discount_rate": {"type": "float", "description": "The discount rate."}, "face_value": {"type": "integer", "description": "The face value of the bond, default is 1000."}}, "required": ["coupon_payment", "period", "discount_rate"]}}]

Ground truth: [{"calculate_discounted_cash_flow": {"coupon_payment": [100], "period": [5], "discount_rate": [0.04], "face_value": ["", 1000]}}]
system: 
You are an expert in composing functions. You are given a question and a set of possible functions.
Based on the question, you will need to make one or more function/tool calls to achieve the purpose.
If none of the function can be used, point it out. If the given question lacks the parameters required by the function,
also point it out. You should only return the function call in tools call sections.

If you decide to invoke any of the function(s), you MUST put it in the format of [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)]

You SHOULD NOT include any other text in the response.

Here is a list of functions in JSON format that you can invoke.

[{'name': 'finance_calculator.npv', 'description': 'Calculate the Net Present Value (NPV) for a series of cash flows discounted at a certain interest rate. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'cash_flows': {'type': 'array', 'items': {'type': 'integer'}, 'description': 'A list of cash flows.'}, 'discount_rate': {'type': 'float', 'description': 'The annual interest rate used to discount the cash flows.'}, 'years': {'type': 'array', 'items': {'type': 'integer'}, 'description': 'A list of years when the cash flow occurs. Default is empty array.'}}, 'required': ['cash_flows', 'discount_rate']}}]


user: What's the NPV (Net Present Value) of a series of cash flows: [-50000, 10000, 15000, 20000, 25000, 30000] discounted at 8% annually?

Available functions:
[{"name": "finance_calculator.npv", "description": "Calculate the Net Present Value (NPV) for a series of cash flows discounted at a certain interest rate.", "parameters": {"type": "dict", "properties": {"cash_flows": {"type": "array", "items": {"type": "integer"}, "description": "A list of cash flows."}, "discount_rate": {"type": "float", "description": "The annual interest rate used to discount the cash flows."}, "years": {"type": "array", "items": {"type": "integer"}, "description": "A list of years when the cash flow occurs. Default is empty array."}}, "required": ["cash_flows", "discount_rate"]}}]

Ground truth: [{"finance_calculator.npv": {"cash_flows": [[-50000, 10000, 15000, 20000, 25000, 30000]], "discount_rate": [0.08], "years": ["", []]}}]
system: 
You are an expert in composing functions. You are given a question and a set of possible functions.
Based on the question, you will need to make one or more function/tool calls to achieve the purpose.
If none of the function can be used, point it out. If the given question lacks the parameters required by the function,
also point it out. You should only return the function call in tools call sections.

If you decide to invoke any of the function(s), you MUST put it in the format of [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)]

You SHOULD NOT include any other text in the response.

Here is a list of functions in JSON format that you can invoke.

[{'name': 'calculate_compound_interest', 'description': 'Calculate compound interest for an initial principal amount. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'principal': {'type': 'integer', 'description': 'The principal amount that the interest is applied to.'}, 'rate': {'type': 'float', 'description': 'The annual interest rate. Enter as a decimal. E.g, 5% is 0.05'}, 'time': {'type': 'integer', 'description': 'The time the money is invested for in years.'}, 'n': {'type': 'integer', 'description': 'The number of times that interest is compounded per time period. Default is 1.'}}, 'required': ['principal', 'rate', 'time']}}]


user: Calculate the compound interest for an initial principal amount of $10000, with an annual interest rate of 5% and the number of times interest applied per time period is 4 and the time the money is invested for 10 years.

Available functions:
[{"name": "calculate_compound_interest", "description": "Calculate compound interest for an initial principal amount.", "parameters": {"type": "dict", "properties": {"principal": {"type": "integer", "description": "The principal amount that the interest is applied to."}, "rate": {"type": "float", "description": "The annual interest rate. Enter as a decimal. E.g, 5% is 0.05"}, "time": {"type": "integer", "description": "The time the money is invested for in years."}, "n": {"type": "integer", "description": "The number of times that interest is compounded per time period. Default is 1."}}, "required": ["principal", "rate", "time"]}}]

Ground truth: [{"calculate_compound_interest": {"principal": [10000], "rate": [0.05], "time": [10], "n": [4]}}]
system: 
You are an expert in composing functions. You are given a question and a set of possible functions.
Based on the question, you will need to make one or more function/tool calls to achieve the purpose.
If none of the function can be used, point it out. If the given question lacks the parameters required by the function,
also point it out. You should only return the function call in tools call sections.

If you decide to invoke any of the function(s), you MUST put it in the format of [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)]

You SHOULD NOT include any other text in the response.

Here is a list of functions in JSON format that you can invoke.

[{'name': 'calculate_return_on_equity', 'description': "Calculate a company's return on equity based on its net income, shareholder's equity, and dividends paid. Note that the provided function is in Python 3 syntax.", 'parameters': {'type': 'dict', 'properties': {'net_income': {'type': 'integer', 'description': "The company's net income."}, 'shareholder_equity': {'type': 'integer', 'description': "The company's total shareholder's equity."}, 'dividends_paid': {'type': 'integer', 'description': 'The total dividends paid by the company. Optional. If not given, default to 0.'}}, 'required': ['net_income', 'shareholder_equity']}}]


user: Calculate the company's return on equity given its net income of $2,000,000, shareholder's equity of $10,000,000, and dividends paid of $200,000.

Available functions:
[{"name": "calculate_return_on_equity", "description": "Calculate a company's return on equity based on its net income, shareholder's equity, and dividends paid.", "parameters": {"type": "dict", "properties": {"net_income": {"type": "integer", "description": "The company's net income."}, "shareholder_equity": {"type": "integer", "description": "The company's total shareholder's equity."}, "dividends_paid": {"type": "integer", "description": "The total dividends paid by the company. Optional. If not given, default to 0."}}, "required": ["net_income", "shareholder_equity"]}}]

Ground truth: [{"calculate_return_on_equity": {"net_income": [2000000], "shareholder_equity": [10000000], "dividends_paid": [200000]}}]
system: 
You are an expert in composing functions. You are given a question and a set of possible functions.
Based on the question, you will need to make one or more function/tool calls to achieve the purpose.
If none of the function can be used, point it out. If the given question lacks the parameters required by the function,
also point it out. You should only return the function call in tools call sections.

If you decide to invoke any of the function(s), you MUST put it in the format of [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)]

You SHOULD NOT include any other text in the response.

Here is a list of functions in JSON format that you can invoke.

[{'name': 'finance.predict_future_value', 'description': 'Calculate the future value of an investment given its present value, interest rate, the number of compounding periods per year, and the time horizon. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'present_value': {'type': 'integer', 'description': 'The present value of the investment.'}, 'annual_interest_rate': {'type': 'float', 'description': 'The annual interest rate of the investment.'}, 'compounding_periods_per_year': {'type': 'integer', 'description': 'The number of times that interest is compounded per year. Default is 1 (annually).'}, 'time_years': {'type': 'integer', 'description': 'The investment horizon in years.'}}, 'required': ['present_value', 'annual_interest_rate', 'time_years']}}]


user: Predict the future value of a $5000 investment with an annual interest rate of 5% in 3 years with monthly compounding.

Available functions:
[{"name": "finance.predict_future_value", "description": "Calculate the future value of an investment given its present value, interest rate, the number of compounding periods per year, and the time horizon.", "parameters": {"type": "dict", "properties": {"present_value": {"type": "integer", "description": "The present value of the investment."}, "annual_interest_rate": {"type": "float", "description": "The annual interest rate of the investment."}, "compounding_periods_per_year": {"type": "integer", "description": "The number of times that interest is compounded per year. Default is 1 (annually)."}, "time_years": {"type": "integer", "description": "The investment horizon in years."}}, "required": ["present_value", "annual_interest_rate", "time_years"]}}]

Ground truth: [{"finance.predict_future_value": {"present_value": [5000], "annual_interest_rate": [0.05], "compounding_periods_per_year": [12], "time_years": [3]}}]
system: 
You are an expert in composing functions. You are given a question and a set of possible functions.
Based on the question, you will need to make one or more function/tool calls to achieve the purpose.
If none of the function can be used, point it out. If the given question lacks the parameters required by the function,
also point it out. You should only return the function call in tools call sections.

If you decide to invoke any of the function(s), you MUST put it in the format of [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)]

You SHOULD NOT include any other text in the response.

Here is a list of functions in JSON format that you can invoke.

[{'name': 'investment.predictProfit', 'description': 'Predict the profit for given investment after specified number of years. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'investment_amount': {'type': 'integer', 'description': 'The amount invested in dollars.'}, 'annual_return': {'type': 'float', 'description': 'The annual return rate of the investment.'}, 'years': {'type': 'integer', 'description': 'The time period in years for which the investment is made.'}}, 'required': ['investment_amount', 'annual_return', 'years']}}]


user: Predict the total expected profit of stocks XYZ in 5 years given I have invested $5000 and annual return rate is 7%.

Available functions:
[{"name": "investment.predictProfit", "description": "Predict the profit for given investment after specified number of years.", "parameters": {"type": "dict", "properties": {"investment_amount": {"type": "integer", "description": "The amount invested in dollars."}, "annual_return": {"type": "float", "description": "The annual return rate of the investment."}, "years": {"type": "integer", "description": "The time period in years for which the investment is made."}}, "required": ["investment_amount", "annual_return", "years"]}}]

Ground truth: [{"investment.predictProfit": {"investment_amount": [5000], "annual_return": [0.07], "years": [5]}}]
system: 
You are an expert in composing functions. You are given a question and a set of possible functions.
Based on the question, you will need to make one or more function/tool calls to achieve the purpose.
If none of the function can be used, point it out. If the given question lacks the parameters required by the function,
also point it out. You should only return the function call in tools call sections.

If you decide to invoke any of the function(s), you MUST put it in the format of [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)]

You SHOULD NOT include any other text in the response.

Here is a list of functions in JSON format that you can invoke.

[{'name': 'calculate_return_on_investment', 'description': 'Calculate the return on investment for a given stock based on its purchase price, sale price, and any dividends received. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'purchase_price': {'type': 'integer', 'description': 'The price the stock was bought at.'}, 'sale_price': {'type': 'integer', 'description': 'The price the stock was sold at.'}, 'dividend': {'type': 'integer', 'description': 'Any dividends received from the stock.', 'default': 0}}, 'required': ['purchase_price', 'sale_price']}}]


user: Calculate the return on investment for a stock bought at $20, sold at $25, with a dividend of $2.

Available functions:
[{"name": "calculate_return_on_investment", "description": "Calculate the return on investment for a given stock based on its purchase price, sale price, and any dividends received.", "parameters": {"type": "dict", "properties": {"purchase_price": {"type": "integer", "description": "The price the stock was bought at."}, "sale_price": {"type": "integer", "description": "The price the stock was sold at."}, "dividend": {"type": "integer", "description": "Any dividends received from the stock.", "default": 0}}, "required": ["purchase_price", "sale_price"]}}]

Ground truth: [{"calculate_return_on_investment": {"purchase_price": [20], "sale_price": [25], "dividend": [2]}}]
system: 
You are an expert in composing functions. You are given a question and a set of possible functions.
Based on the question, you will need to make one or more function/tool calls to achieve the purpose.
If none of the function can be used, point it out. If the given question lacks the parameters required by the function,
also point it out. You should only return the function call in tools call sections.

If you decide to invoke any of the function(s), you MUST put it in the format of [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)]

You SHOULD NOT include any other text in the response.

Here is a list of functions in JSON format that you can invoke.

[{'name': 'compound_interest', 'description': 'Calculate compound interest for a certain time period. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'principal': {'type': 'integer', 'description': 'The initial amount of money that was invested or loaned out.'}, 'annual_rate': {'type': 'float', 'description': 'The interest rate for a year as a percentage.'}, 'compounding_freq': {'type': 'string', 'enum': ['monthly', 'quarterly', 'annually'], 'description': 'The number of times that interest is compounded per unit period.'}, 'time_in_years': {'type': 'integer', 'description': 'The time the money is invested for in years.'}}, 'required': ['principal', 'annual_rate', 'compounding_freq', 'time_in_years']}}]


user: Find the compound interest for an investment of $10000 with an annual interest rate of 5% compounded monthly for 5 years.

Available functions:
[{"name": "compound_interest", "description": "Calculate compound interest for a certain time period.", "parameters": {"type": "dict", "properties": {"principal": {"type": "integer", "description": "The initial amount of money that was invested or loaned out."}, "annual_rate": {"type": "float", "description": "The interest rate for a year as a percentage."}, "compounding_freq": {"type": "string", "enum": ["monthly", "quarterly", "annually"], "description": "The number of times that interest is compounded per unit period."}, "time_in_years": {"type": "integer", "description": "The time the money is invested for in years."}}, "required": ["principal", "annual_rate", "compounding_freq", "time_in_years"]}}]

Ground truth: [{"compound_interest": {"principal": [10000], "annual_rate": [5], "compounding_freq": ["monthly"], "time_in_years": [5]}}]
system: 
You are an expert in composing functions. You are given a question and a set of possible functions.
Based on the question, you will need to make one or more function/tool calls to achieve the purpose.
If none of the function can be used, point it out. If the given question lacks the parameters required by the function,
also point it out. You should only return the function call in tools call sections.

If you decide to invoke any of the function(s), you MUST put it in the format of [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)]

You SHOULD NOT include any other text in the response.

Here is a list of functions in JSON format that you can invoke.

[{'name': 'calculate_stock_return', 'description': 'Calculate the projected return of a stock investment given the investment amount, the annual growth rate and holding period in years. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'investment_amount': {'type': 'integer', 'description': 'The amount of money to invest.'}, 'annual_growth_rate': {'type': 'float', 'description': 'The expected annual growth rate of the stock.'}, 'holding_period': {'type': 'integer', 'description': 'The number of years you intend to hold the stock.'}, 'dividends': {'type': 'boolean', 'description': 'Optional. True if the calculation should take into account potential dividends. Default is false.'}}, 'required': ['investment_amount', 'annual_growth_rate', 'holding_period']}}]


user: Calculate the projected return on a $5000 investment in ABC company's stock, if the expected annual growth rate is 6% and the holding period is 5 years.

Available functions:
[{"name": "calculate_stock_return", "description": "Calculate the projected return of a stock investment given the investment amount, the annual growth rate and holding period in years.", "parameters": {"type": "dict", "properties": {"investment_amount": {"type": "integer", "description": "The amount of money to invest."}, "annual_growth_rate": {"type": "float", "description": "The expected annual growth rate of the stock."}, "holding_period": {"type": "integer", "description": "The number of years you intend to hold the stock."}, "dividends": {"type": "boolean", "description": "Optional. True if the calculation should take into account potential dividends. Default is false."}}, "required": ["investment_amount", "annual_growth_rate", "holding_period"]}}]

Ground truth: [{"calculate_stock_return": {"investment_amount": [5000], "annual_growth_rate": [0.06], "holding_period": [5], "dividends": ["", false]}}]
system: 
You are an expert in composing functions. You are given a question and a set of possible functions.
Based on the question, you will need to make one or more function/tool calls to achieve the purpose.
If none of the function can be used, point it out. If the given question lacks the parameters required by the function,
also point it out. You should only return the function call in tools call sections.

If you decide to invoke any of the function(s), you MUST put it in the format of [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)]

You SHOULD NOT include any other text in the response.

Here is a list of functions in JSON format that you can invoke.

[{'name': 'portfolio_future_value', 'description': 'Calculate the future value of an investment in a specific stock based on the invested amount, expected annual return and number of years. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'stock': {'type': 'string', 'description': 'The ticker symbol of the stock.'}, 'invested_amount': {'type': 'integer', 'description': 'The invested amount in USD.'}, 'expected_annual_return': {'type': 'float', 'description': 'The expected annual return on investment as a decimal. E.g. 5% = 0.05'}, 'years': {'type': 'integer', 'description': 'The number of years for which the investment is made.'}}, 'required': ['stock', 'invested_amount', 'expected_annual_return', 'years']}}]


user: Calculate the future value of my portfolio if I invest $5000 in stock 'X' with an expected annual return of 5% for 7 years.

Available functions:
[{"name": "portfolio_future_value", "description": "Calculate the future value of an investment in a specific stock based on the invested amount, expected annual return and number of years.", "parameters": {"type": "dict", "properties": {"stock": {"type": "string", "description": "The ticker symbol of the stock."}, "invested_amount": {"type": "integer", "description": "The invested amount in USD."}, "expected_annual_return": {"type": "float", "description": "The expected annual return on investment as a decimal. E.g. 5% = 0.05"}, "years": {"type": "integer", "description": "The number of years for which the investment is made."}}, "required": ["stock", "invested_amount", "expected_annual_return", "years"]}}]

Ground truth: [{"portfolio_future_value": {"stock": ["X"], "invested_amount": [5000], "expected_annual_return": [0.05], "years": [7]}}]
system: 
You are an expert in composing functions. You are given a question and a set of possible functions.
Based on the question, you will need to make one or more function/tool calls to achieve the purpose.
If none of the function can be used, point it out. If the given question lacks the parameters required by the function,
also point it out. You should only return the function call in tools call sections.

If you decide to invoke any of the function(s), you MUST put it in the format of [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)]

You SHOULD NOT include any other text in the response.

Here is a list of functions in JSON format that you can invoke.

[{'name': 'estimate_mutual_fund_return', 'description': 'Calculate the estimated return on a mutual fund given the yearly yield, the investment amount and the time period. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'yearly_yield': {'type': 'float', 'description': 'The yearly yield of the mutual fund as a percentage.'}, 'investment_amount': {'type': 'integer', 'description': 'The initial investment amount in the mutual fund.'}, 'years': {'type': 'integer', 'description': 'The time period for which the investment is made in years.'}}, 'required': ['yearly_yield', 'investment_amount', 'years']}}]


user: What is the estimated return on a mutual fund, given that it has a yearly yield of 5%, an investment amount of $2000 and a time period of 3 years?

Available functions:
[{"name": "estimate_mutual_fund_return", "description": "Calculate the estimated return on a mutual fund given the yearly yield, the investment amount and the time period.", "parameters": {"type": "dict", "properties": {"yearly_yield": {"type": "float", "description": "The yearly yield of the mutual fund as a percentage."}, "investment_amount": {"type": "integer", "description": "The initial investment amount in the mutual fund."}, "years": {"type": "integer", "description": "The time period for which the investment is made in years."}}, "required": ["yearly_yield", "investment_amount", "years"]}}]

Ground truth: [{"estimate_mutual_fund_return": {"yearly_yield": [5], "investment_amount": [2000], "years": [3]}}]
system: 
You are an expert in composing functions. You are given a question and a set of possible functions.
Based on the question, you will need to make one or more function/tool calls to achieve the purpose.
If none of the function can be used, point it out. If the given question lacks the parameters required by the function,
also point it out. You should only return the function call in tools call sections.

If you decide to invoke any of the function(s), you MUST put it in the format of [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)]

You SHOULD NOT include any other text in the response.

Here is a list of functions in JSON format that you can invoke.

[{'name': 'calculate_cagr', 'description': 'Calculate the Compound Annual Growth Rate (CAGR) given an initial investment value, a final investment value, and the number of years. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'initial_value': {'type': 'integer', 'description': 'The initial investment value.'}, 'final_value': {'type': 'integer', 'description': 'The final investment value.'}, 'period_in_years': {'type': 'integer', 'description': 'The period of the investment in years.'}}, 'required': ['initial_value', 'final_value', 'period_in_years']}}]


user: Calculate the Compound Annual Growth Rate (CAGR) for an initial investment of $2000, final value of $3000 in a period of 4 years.

Available functions:
[{"name": "calculate_cagr", "description": "Calculate the Compound Annual Growth Rate (CAGR) given an initial investment value, a final investment value, and the number of years.", "parameters": {"type": "dict", "properties": {"initial_value": {"type": "integer", "description": "The initial investment value."}, "final_value": {"type": "integer", "description": "The final investment value."}, "period_in_years": {"type": "integer", "description": "The period of the investment in years."}}, "required": ["initial_value", "final_value", "period_in_years"]}}]

Ground truth: [{"calculate_cagr": {"initial_value": [2000], "final_value": [3000], "period_in_years": [4]}}]
system: 
You are an expert in composing functions. You are given a question and a set of possible functions.
Based on the question, you will need to make one or more function/tool calls to achieve the purpose.
If none of the function can be used, point it out. If the given question lacks the parameters required by the function,
also point it out. You should only return the function call in tools call sections.

If you decide to invoke any of the function(s), you MUST put it in the format of [func_name1(params_name1=params_value1, params_name2=params_value2...), func_name2(params)]

You SHOULD NOT include any other text in the response.

Here is a list of functions in JSON format that you can invoke.

[{'name': 'get_metal_price', 'description': 'Retrieve the current price for a specified metal and measure. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'metal': {'type': 'string', 'description': 'The metal whose price needs to be fetched.'}, 'measure': {'type': 'string', 'description': "The measure unit for price, like 'ounce' or 'kg'."}}, 'required': ['metal', 'measure']}}]


user: Get current Gold price per ounce.

Available functions:
[{"name": "get_metal_price", "description": "Retrieve the current price for a specified metal and measure.", "parameters": {"type": "dict", "properties": {"metal": {"type": "string", "description": "The metal whose price needs to be fetched."}, "measure": {"type": "string", "description": "The measure unit for price, like 'ounce' or 'kg'."}}, "required": ["metal", "measure"]}}]

Ground truth: [{"get_metal_price": {"metal": ["Gold", "gold"], "measure": ["ounce"]}}]