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': 'analyze_dna_sequence', 'description': 'Analyzes the DNA sequence based on a reference sequence and return any potential mutations. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'sequence': {'type': 'string', 'description': 'The DNA sequence to be analyzed.'}, 'reference_sequence': {'type': 'string', 'description': 'The reference DNA sequence.'}, 'mutation_type': {'type': 'string', 'enum': ['insertion', 'deletion', 'substitution'], 'description': 'Type of the mutation to be looked for in the sequence.', 'default': 'insertion'}}, 'required': ['sequence', 'reference_sequence']}}]


user: Can you analyze the DNA sequence "AGCTTAGCTA" and "AGCTTAGGCTA" using the reference sequence "AGCTTAGCTA" to identify any potential 'insertion' mutations, then repeat the same analysis for 'deletion' and 'substitution' mutations?

Available functions:
[{"name": "analyze_dna_sequence", "description": "Analyzes the DNA sequence based on a reference sequence and return any potential mutations.", "parameters": {"type": "dict", "properties": {"sequence": {"type": "string", "description": "The DNA sequence to be analyzed."}, "reference_sequence": {"type": "string", "description": "The reference DNA sequence."}, "mutation_type": {"type": "string", "enum": ["insertion", "deletion", "substitution"], "description": "Type of the mutation to be looked for in the sequence.", "default": "insertion"}}, "required": ["sequence", "reference_sequence"]}}]

Ground truth: [{"analyze_dna_sequence": {"sequence": ["AGCTTAGCTA"], "reference_sequence": ["AGCTTAGCTA"], "mutation_type": ["insertion", ""]}}, {"analyze_dna_sequence": {"sequence": ["AGCTTAGGCTA"], "reference_sequence": ["AGCTTAGCTA"], "mutation_type": ["insertion", ""]}}, {"analyze_dna_sequence": {"sequence": ["AGCTTAGCTA"], "reference_sequence": ["AGCTTAGCTA"], "mutation_type": ["deletion"]}}, {"analyze_dna_sequence": {"sequence": ["AGCTTAGGCTA"], "reference_sequence": ["AGCTTAGCTA"], "mutation_type": ["deletion"]}}, {"analyze_dna_sequence": {"sequence": ["AGCTTAGCTA"], "reference_sequence": ["AGCTTAGCTA"], "mutation_type": ["substitution"]}}, {"analyze_dna_sequence": {"sequence": ["AGCTTAGGCTA"], "reference_sequence": ["AGCTTAGCTA"], "mutation_type": ["substitution"]}}]
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': 'genetics.calculate_similarity', 'description': 'Calculates the genetic similarity between two species based on their DNA sequences. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'species1': {'type': 'string', 'description': 'The first species to compare.'}, 'species2': {'type': 'string', 'description': 'The second species to compare.'}, 'format': {'type': 'string', 'description': 'The format of the result (percentage or fraction). Default is percentage.'}}, 'required': ['species1', 'species2']}}]


user: "Could you calculate the genetic similarity between a human and a chimpanzee, and then between a human and a gorilla, using their DNA sequences? Please provide the results in both percentage and fraction formats."

Available functions:
[{"name": "genetics.calculate_similarity", "description": "Calculates the genetic similarity between two species based on their DNA sequences.", "parameters": {"type": "dict", "properties": {"species1": {"type": "string", "description": "The first species to compare."}, "species2": {"type": "string", "description": "The second species to compare."}, "format": {"type": "string", "description": "The format of the result (percentage or fraction). Default is percentage."}}, "required": ["species1", "species2"]}}]

Ground truth: [{"genetics.calculate_similarity": {"species1": ["human", "Human"], "species2": ["chimpanzee"], "format": ["percentage", ""]}}, {"genetics.calculate_similarity": {"species1": ["human"], "species2": ["chimpanzee"], "format": ["fraction"]}}, {"genetics.calculate_similarity": {"species1": ["human"], "species2": ["gorilla"], "format": ["percentage", ""]}}, {"genetics.calculate_similarity": {"species1": ["human"], "species2": ["gorilla"], "format": ["fraction"]}}]
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_genotype_frequency', 'description': 'Calculate the frequency of homozygous dominant genotype based on the allele frequency using Hardy Weinberg Principle. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'allele_frequency': {'type': 'float', 'description': 'The frequency of the dominant allele in the population.'}, 'genotype': {'type': 'string', 'description': 'The genotype which frequency is needed, default is homozygous dominant. ', 'enum': ['AA', 'Aa', 'aa']}}, 'required': ['allele_frequency', 'genotype']}}]


user: "In a population of butterflies, the frequency of the dominant allele for wing color is 0.7. Can you calculate the frequency of the homozygous dominant genotype (AA), heterozygous genotype (Aa), and homozygous recessive genotype (aa) using the Hardy Weinberg Principle?"

Available functions:
[{"name": "calculate_genotype_frequency", "description": "Calculate the frequency of homozygous dominant genotype based on the allele frequency using Hardy Weinberg Principle.", "parameters": {"type": "dict", "properties": {"allele_frequency": {"type": "float", "description": "The frequency of the dominant allele in the population."}, "genotype": {"type": "string", "description": "The genotype which frequency is needed, default is homozygous dominant. ", "enum": ["AA", "Aa", "aa"]}}, "required": ["allele_frequency", "genotype"]}}]

Ground truth: [{"calculate_genotype_frequency": {"allele_frequency": [0.7], "genotype": ["AA"]}}, {"calculate_genotype_frequency": {"allele_frequency": [0.7], "genotype": ["Aa"]}}, {"calculate_genotype_frequency": {"allele_frequency": [0.7], "genotype": ["aa"]}}]
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_density', 'description': 'Calculate the population density of a specific country in a specific year. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'country': {'type': 'string', 'description': 'The country for which the density needs to be calculated.'}, 'year': {'type': 'string', 'description': 'The year in which the density is to be calculated.'}, 'population': {'type': 'float', 'description': 'The population of the country.'}, 'land_area': {'type': 'float', 'description': 'The land area of the country in square kilometers.'}}, 'required': ['country', 'year', 'population', 'land_area']}}]


user: What is the population density of China in 2000 and 2010, given that the population was 1.267 billion in 2000 and 1.341 billion in 2010, and the land area remained constant at 9.597 million square kilometers?

Available functions:
[{"name": "calculate_density", "description": "Calculate the population density of a specific country in a specific year.", "parameters": {"type": "dict", "properties": {"country": {"type": "string", "description": "The country for which the density needs to be calculated."}, "year": {"type": "string", "description": "The year in which the density is to be calculated."}, "population": {"type": "float", "description": "The population of the country."}, "land_area": {"type": "float", "description": "The land area of the country in square kilometers."}}, "required": ["country", "year", "population", "land_area"]}}]

Ground truth: [{"calculate_density": {"country": ["China"], "year": ["2000"], "population": [1267000000.0], "land_area": [9597000.0]}}, {"calculate_density": {"country": ["China"], "year": ["2010"], "population": [1341000000.0], "land_area": [9597000.0]}}]
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': 'ecology_data.precipitation_stats', 'description': 'Retrieve precipitation data for a specified location and time period. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'location': {'type': 'string', 'description': "The name of the location, e.g., 'Amazon rainforest'."}, 'time_frame': {'type': 'string', 'enum': ['six_months', 'year', 'five_years'], 'description': 'The time period for which data is required.'}}, 'required': ['location', 'time_frame']}}]


user: What are the precipitation statistics for the Amazon rainforest for the last six months, the last year, and the last five years?

Available functions:
[{"name": "ecology_data.precipitation_stats", "description": "Retrieve precipitation data for a specified location and time period.", "parameters": {"type": "dict", "properties": {"location": {"type": "string", "description": "The name of the location, e.g., 'Amazon rainforest'."}, "time_frame": {"type": "string", "enum": ["six_months", "year", "five_years"], "description": "The time period for which data is required."}}, "required": ["location", "time_frame"]}}]

Ground truth: [{"ecology_data.precipitation_stats": {"location": ["Amazon rainforest"], "time_frame": ["six_months"]}}, {"ecology_data.precipitation_stats": {"location": ["Amazon rainforest"], "time_frame": ["year"]}}, {"ecology_data.precipitation_stats": {"location": ["Amazon rainforest"], "time_frame": ["five_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': 'identify_bird', 'description': 'Identify a bird species based on certain characteristics. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'color': {'type': 'string', 'description': 'Color of the bird.'}, 'habitat': {'type': 'string', 'description': 'Habitat of the bird.'}, 'size': {'type': 'string', 'enum': ['small', 'medium', 'large'], 'description': 'Size of the bird.', 'default': 'small'}}, 'required': ['color', 'habitat']}}]


user: "Can you help me identify the bird species I saw during my recent trip? The first one was a small bird with a vibrant blue color that I spotted in a forest. The second one was a large bird with a mix of black colors that I saw near a lake. The third one was a medium-sized bird with a brown color that I noticed in a desert. Lastly, the fourth one was a large bird with a green color that I observed in a tropical rainforest. What could these birds be?"

Available functions:
[{"name": "identify_bird", "description": "Identify a bird species based on certain characteristics.", "parameters": {"type": "dict", "properties": {"color": {"type": "string", "description": "Color of the bird."}, "habitat": {"type": "string", "description": "Habitat of the bird."}, "size": {"type": "string", "enum": ["small", "medium", "large"], "description": "Size of the bird.", "default": "small"}}, "required": ["color", "habitat"]}}]

Ground truth: [{"identify_bird": {"color": ["blue"], "habitat": ["forest"], "size": ["small", ""]}}, {"identify_bird": {"color": ["black"], "habitat": ["lake"], "size": ["large"]}}, {"identify_bird": {"color": ["brown"], "habitat": ["desert"], "size": ["medium"]}}, {"identify_bird": {"color": ["green"], "habitat": ["tropical rainforest"], "size": ["large"]}}]
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': 'forest_growth_forecast', 'description': 'Predicts the forest growth over the next N years based on current trends. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'location': {'type': 'string', 'description': 'The location where you want to predict forest growth.'}, 'years': {'type': 'integer', 'description': 'The number of years for the forecast.'}, 'include_human_impact': {'type': 'boolean', 'description': 'Whether or not to include the impact of human activities in the forecast. If not provided, defaults to false.'}}, 'required': ['location', 'years']}}]


user: What would be the predicted forest growth in the Amazon Rainforest and the Boreal Forests of Canada over the next 10 years and 20 years, respectively, if we do not include the impact of human activities?

Available functions:
[{"name": "forest_growth_forecast", "description": "Predicts the forest growth over the next N years based on current trends.", "parameters": {"type": "dict", "properties": {"location": {"type": "string", "description": "The location where you want to predict forest growth."}, "years": {"type": "integer", "description": "The number of years for the forecast."}, "include_human_impact": {"type": "boolean", "description": "Whether or not to include the impact of human activities in the forecast. If not provided, defaults to false."}}, "required": ["location", "years"]}}]

Ground truth: [{"forest_growth_forecast": {"location": ["Amazon Rainforest"], "years": [10], "include_human_impact": [false, ""]}}, {"forest_growth_forecast": {"location": ["Boreal Forests of Canada"], "years": [20], "include_human_impact": [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': 'ecology.get_turtle_population', 'description': 'Get the population and species of turtles in a specific location. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'location': {'type': 'string', 'description': 'The name of the location.'}, 'year': {'type': 'integer', 'description': 'The year of the data requested. (optional). default is 2000'}, 'species': {'type': 'boolean', 'description': 'Whether to include species information. Default is false. (optional)'}}, 'required': ['location']}}]


user: What is the population of turtles in the Galapagos Islands in 2015, and can you also provide the species information? After that, can you also tell me the same information for the same location but for the year 2020?

Available functions:
[{"name": "ecology.get_turtle_population", "description": "Get the population and species of turtles in a specific location.", "parameters": {"type": "dict", "properties": {"location": {"type": "string", "description": "The name of the location."}, "year": {"type": "integer", "description": "The year of the data requested. (optional). default is 2000"}, "species": {"type": "boolean", "description": "Whether to include species information. Default is false. (optional)"}}, "required": ["location"]}}]

Ground truth: [{"ecology.get_turtle_population": {"location": ["Galapagos Islands"], "year": [2015], "species": [true]}}, {"ecology.get_turtle_population": {"location": ["Galapagos Islands"], "year": [2020], "species": [true]}}]
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_vehicle_emission', 'description': 'Calculate the annual carbon emissions produced by a specific type of vehicle based on mileage. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'vehicle_type': {'type': 'string', 'description': "The type of vehicle. 'gas' refers to a gasoline vehicle, 'diesel' refers to a diesel vehicle, and 'EV' refers to an electric vehicle."}, 'miles_driven': {'type': 'integer', 'description': 'The number of miles driven per year.'}, 'emission_factor': {'type': 'float', 'description': 'Optional emission factor to calculate emissions. Default factor is set for gas vehicles of 1.4'}}, 'required': ['vehicle_type', 'miles_driven']}}]


user: What are the annual carbon emissions produced by a gasoline vehicle, a diesel vehicle, and an electric vehicle if they each drive 15,000 miles per year, using the default emission factor for the gasoline vehicle, an emission factor of 2.7 for the diesel vehicle, and an emission factor of 0 for the electric vehicle?

Available functions:
[{"name": "calculate_vehicle_emission", "description": "Calculate the annual carbon emissions produced by a specific type of vehicle based on mileage.", "parameters": {"type": "dict", "properties": {"vehicle_type": {"type": "string", "description": "The type of vehicle. 'gas' refers to a gasoline vehicle, 'diesel' refers to a diesel vehicle, and 'EV' refers to an electric vehicle."}, "miles_driven": {"type": "integer", "description": "The number of miles driven per year."}, "emission_factor": {"type": "float", "description": "Optional emission factor to calculate emissions. Default factor is set for gas vehicles of 1.4"}}, "required": ["vehicle_type", "miles_driven"]}}]

Ground truth: [{"calculate_vehicle_emission": {"vehicle_type": ["gas"], "miles_driven": [15000], "emission_factor": ["", 1.4]}}, {"calculate_vehicle_emission": {"vehicle_type": ["diesel"], "miles_driven": [15000], "emission_factor": [2.7]}}, {"calculate_vehicle_emission": {"vehicle_type": ["EV"], "miles_driven": [15000], "emission_factor": [0]}}]
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': 'generate_DNA_sequence', 'description': 'Generate a random DNA sequence with a specific length and nucleotide preference. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'length': {'type': 'integer', 'description': 'The length of the DNA sequence to be generated.'}, 'preferences': {'type': 'array', 'items': {'type': 'string', 'enum': ['A', 'T', 'C', 'G']}, 'description': 'Preferred nucleotides to include more frequently in the DNA sequence.'}}, 'required': ['length', 'preferences']}}]


user: Can you generate four different DNA sequences each with a length of 500, where the first sequence has a preference for nucleotide 'A', the second sequence has a preference for nucleotide 'T', the third sequence has a preference for nucleotide 'C', and the fourth sequence has a preference for nucleotide 'G'?

Available functions:
[{"name": "generate_DNA_sequence", "description": "Generate a random DNA sequence with a specific length and nucleotide preference.", "parameters": {"type": "dict", "properties": {"length": {"type": "integer", "description": "The length of the DNA sequence to be generated."}, "preferences": {"type": "array", "items": {"type": "string", "enum": ["A", "T", "C", "G"]}, "description": "Preferred nucleotides to include more frequently in the DNA sequence."}}, "required": ["length", "preferences"]}}]

Ground truth: [{"generate_DNA_sequence": {"length": [500], "preferences": [["A"]]}}, {"generate_DNA_sequence": {"length": [500], "preferences": [["T"]]}}, {"generate_DNA_sequence": {"length": [500], "preferences": [["C"]]}}, {"generate_DNA_sequence": {"length": [500], "preferences": [["G"]]}}]
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': 'population_projections', 'description': 'Calculates the projected population growth based on the current growth rate. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'country': {'type': 'string', 'description': 'The country for which to calculate the population projection.'}, 'years': {'type': 'integer', 'description': 'Number of years for the projection.'}, 'growth_rate': {'type': 'float', 'description': 'Optional parameter to specify the growth rate. Default is current growth rate. of 0.01'}}, 'required': ['country', 'years']}}]


user: What would be the projected population growth of Japan and India in the next 10 and 20 years respectively, considering the current growth rate, and how would these projections change if we consider a growth rate of 1.5% for Japan and 2.1% for India instead of the current growth rate?

Available functions:
[{"name": "population_projections", "description": "Calculates the projected population growth based on the current growth rate.", "parameters": {"type": "dict", "properties": {"country": {"type": "string", "description": "The country for which to calculate the population projection."}, "years": {"type": "integer", "description": "Number of years for the projection."}, "growth_rate": {"type": "float", "description": "Optional parameter to specify the growth rate. Default is current growth rate. of 0.01"}}, "required": ["country", "years"]}}]

Ground truth: [{"population_projections": {"country": ["Japan"], "years": [10], "growth_rate": ["", 0.01]}}, {"population_projections": {"country": ["Japan"], "years": [10], "growth_rate": [0.015]}}, {"population_projections": {"country": ["India"], "years": [20], "growth_rate": [0.021]}}, {"population_projections": {"country": ["India"], "years": [20], "growth_rate": ["", 0.01]}}]
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': 'elephant_population_estimate', 'description': 'Estimate future population of elephants given current population and growth rate. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'current_population': {'type': 'integer', 'description': 'The current number of elephants.'}, 'growth_rate': {'type': 'float', 'description': 'The annual population growth rate of elephants.'}, 'years': {'type': 'integer', 'description': 'The number of years to project the population.'}}, 'required': ['current_population', 'growth_rate', 'years']}}]


user: In the African savannah, a group of researchers have been observing a herd of elephants for a few years. They have noticed that the current population of elephants is 500 and the annual population growth rate is 2%. They are interested in knowing the estimated population of elephants in 10 years. However, due to the unpredictable nature of the wild, they also want to consider a scenario where the growth rate drops to 1.5% and another scenario where it increases to 2.5%. Can you provide the estimated elephant population for these three scenarios in 10 years?

Available functions:
[{"name": "elephant_population_estimate", "description": "Estimate future population of elephants given current population and growth rate.", "parameters": {"type": "dict", "properties": {"current_population": {"type": "integer", "description": "The current number of elephants."}, "growth_rate": {"type": "float", "description": "The annual population growth rate of elephants."}, "years": {"type": "integer", "description": "The number of years to project the population."}}, "required": ["current_population", "growth_rate", "years"]}}]

Ground truth: [{"elephant_population_estimate": {"current_population": [500], "growth_rate": [0.02], "years": [10]}}, {"elephant_population_estimate": {"current_population": [500], "growth_rate": [0.015], "years": [10]}}, {"elephant_population_estimate": {"current_population": [500], "growth_rate": [0.025], "years": [10]}}]
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': 'prediction.evolution', 'description': 'Predict the evolutionary rate for a specific species for a given timeframe. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'species': {'type': 'string', 'description': 'The species that the evolution rate will be predicted for.'}, 'years': {'type': 'integer', 'description': 'Number of years for the prediction.'}, 'model': {'type': 'string', 'description': "The model used to make the prediction, options: 'Darwin', 'Lamarck', default is 'Darwin'."}}, 'required': ['species', 'years']}}]


user: What would be the predicted evolutionary rate for the African Elephant species over a period of 5000 years using the Darwin model, and how would this prediction change if we use the Lamarck model instead?

Available functions:
[{"name": "prediction.evolution", "description": "Predict the evolutionary rate for a specific species for a given timeframe.", "parameters": {"type": "dict", "properties": {"species": {"type": "string", "description": "The species that the evolution rate will be predicted for."}, "years": {"type": "integer", "description": "Number of years for the prediction."}, "model": {"type": "string", "description": "The model used to make the prediction, options: 'Darwin', 'Lamarck', default is 'Darwin'."}}, "required": ["species", "years"]}}]

Ground truth: [{"prediction.evolution": {"species": ["African Elephant"], "years": [5000], "model": ["Darwin", ""]}}, {"prediction.evolution": {"species": ["African Elephant"], "years": [5000], "model": ["Lamarck"]}}]
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': 'restaurant.find_nearby', 'description': 'Locate nearby restaurants based on specific dietary preferences. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'location': {'type': 'string', 'description': 'The city and state, e.g. Los Angeles, CA'}, 'dietary_preference': {'type': 'array', 'items': {'type': 'string', 'enum': ['Vegan', 'Vegetarian', 'Gluten-free', 'Dairy-free', 'Nut-free']}, 'description': 'Dietary preference.', 'default': ['Vegan']}}, 'required': ['location']}}]


user: Can you help me find restaurants in New York, NY that cater to my dietary preferences which include Vegan, Gluten-free and Dairy-free options, and then do the same for Los Angeles, CA and Chicago, IL?

Available functions:
[{"name": "restaurant.find_nearby", "description": "Locate nearby restaurants based on specific dietary preferences.", "parameters": {"type": "dict", "properties": {"location": {"type": "string", "description": "The city and state, e.g. Los Angeles, CA"}, "dietary_preference": {"type": "array", "items": {"type": "string", "enum": ["Vegan", "Vegetarian", "Gluten-free", "Dairy-free", "Nut-free"]}, "description": "Dietary preference.", "default": ["Vegan"]}}, "required": ["location"]}}]

Ground truth: [{"restaurant.find_nearby": {"location": ["New York, NY", "New York City", "NYC", "NY"], "dietary_preference": [["Vegan", "Gluten-free", "Dairy-free"]]}}, {"restaurant.find_nearby": {"location": ["Los Angeles, CA", "LA", "Los Angeles", "Los Angeles, CA", "CA"], "dietary_preference": [["Vegan", "Gluten-free", "Dairy-free"]]}}, {"restaurant.find_nearby": {"location": ["Chicago, IL", "Chicago", "IL"], "dietary_preference": [["Vegan", "Gluten-free", "Dairy-free"]]}}]
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': 'average_temperature', 'description': 'Retrieves the average temperature for a specific location over the defined timeframe. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'location': {'type': 'string', 'description': 'The city to get the average temperature for.'}, 'days': {'type': 'integer', 'description': 'The number of days to get the average temperature for.'}, 'temp_unit': {'type': 'string', 'description': "The temperature unit ('Celsius' or 'Fahrenheit'). Default is 'Fahrenheit'."}}, 'required': ['location', 'days']}}]


user: What is the average temperature in New York for the past 7 days in Fahrenheit and how does it compare to the average temperature in Los Angeles for the same period in Celsius?

Available functions:
[{"name": "average_temperature", "description": "Retrieves the average temperature for a specific location over the defined timeframe.", "parameters": {"type": "dict", "properties": {"location": {"type": "string", "description": "The city to get the average temperature for."}, "days": {"type": "integer", "description": "The number of days to get the average temperature for."}, "temp_unit": {"type": "string", "description": "The temperature unit ('Celsius' or 'Fahrenheit'). Default is 'Fahrenheit'."}}, "required": ["location", "days"]}}]

Ground truth: [{"average_temperature": {"location": ["New York", "New York, NY", "NYC"], "days": [7], "temp_unit": ["Fahrenheit", ""]}}, {"average_temperature": {"location": ["Los Angeles", "Los Angeles, CA", "LA"], "days": [7], "temp_unit": ["Celsius"]}}]
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': 'create_histogram', 'description': 'Create a histogram based on provided data. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'data': {'type': 'array', 'items': {'type': 'integer'}, 'description': 'The data for which histogram needs to be plotted.'}, 'bins': {'type': 'integer', 'description': 'The number of equal-width bins in the range. Default is 10.'}}, 'required': ['data', 'bins']}}]


user: You are given two sets of data, the first set is [12, 15, 11, 14, 18, 19, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26] and the second set is [32, 35, 31, 34, 38, 39, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46]. Can you create two histograms using the 'create_histogram' function, one for each data set, with 5 bins each?

Available functions:
[{"name": "create_histogram", "description": "Create a histogram based on provided data.", "parameters": {"type": "dict", "properties": {"data": {"type": "array", "items": {"type": "integer"}, "description": "The data for which histogram needs to be plotted."}, "bins": {"type": "integer", "description": "The number of equal-width bins in the range. Default is 10."}}, "required": ["data", "bins"]}}]

Ground truth: [{"create_histogram": {"data": [[12, 15, 11, 14, 18, 19, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26]], "bins": [5]}}, {"create_histogram": {"data": [[32, 35, 31, 34, 38, 39, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46]], "bins": [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': 'find_restaurants', 'description': 'Locate nearby restaurants based on location and food preferences. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'location': {'type': 'string', 'description': 'The specific location or area.'}, 'food_type': {'type': 'string', 'description': 'The type of food preferred.'}, 'number': {'type': 'integer', 'description': 'Number of results to return.'}, 'dietary_requirements': {'type': 'array', 'items': {'type': 'string'}, 'description': 'Special dietary requirements, e.g. vegan, gluten-free.', 'default': 'None'}}, 'required': ['location', 'food_type', 'number']}}]


user: "Can you help me find four restaurants in New York that serve Italian food and cater to my dietary requirements of being vegan and gluten-free, and then find four more restaurants in Los Angeles that serve the same type of food and also cater to my dietary requirements?"

Available functions:
[{"name": "find_restaurants", "description": "Locate nearby restaurants based on location and food preferences.", "parameters": {"type": "dict", "properties": {"location": {"type": "string", "description": "The specific location or area."}, "food_type": {"type": "string", "description": "The type of food preferred."}, "number": {"type": "integer", "description": "Number of results to return."}, "dietary_requirements": {"type": "array", "items": {"type": "string"}, "description": "Special dietary requirements, e.g. vegan, gluten-free.", "default": "None"}}, "required": ["location", "food_type", "number"]}}]

Ground truth: [{"find_restaurants": {"location": ["New York", "New York, NY", "NYC"], "food_type": ["Italian", "italian"], "number": [4], "dietary_requirements": [["vegan", "gluten-free"]]}}, {"find_restaurants": {"location": ["Los Angeles", "Los Angeles, CA", "LA"], "food_type": ["Italian"], "number": [4], "dietary_requirements": [["vegan", "gluten-free"]]}}]
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': 'map_routing.fastest_route', 'description': 'Finds the fastest route from one location to another, with an option to avoid toll roads. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'start_location': {'type': 'string', 'description': 'The starting location for the journey.'}, 'end_location': {'type': 'string', 'description': 'The destination for the journey.'}, 'avoid_tolls': {'type': 'boolean', 'description': 'Option to avoid toll roads during the journey. default is False'}}, 'required': ['start_location', 'end_location']}}]


user: Can you find the fastest route from my home in San Francisco to my office in Palo Alto, then from my office to my friend's house in San Jose, and finally from my friend's house back to my home, while avoiding toll roads?

Available functions:
[{"name": "map_routing.fastest_route", "description": "Finds the fastest route from one location to another, with an option to avoid toll roads.", "parameters": {"type": "dict", "properties": {"start_location": {"type": "string", "description": "The starting location for the journey."}, "end_location": {"type": "string", "description": "The destination for the journey."}, "avoid_tolls": {"type": "boolean", "description": "Option to avoid toll roads during the journey. default is False"}}, "required": ["start_location", "end_location"]}}]

Ground truth: [{"map_routing.fastest_route": {"start_location": ["San Francisco", "SF"], "end_location": ["Palo Alto"], "avoid_tolls": [true]}}, {"map_routing.fastest_route": {"start_location": ["Palo Alto"], "end_location": ["San Jose", "SJ"], "avoid_tolls": [true]}}, {"map_routing.fastest_route": {"start_location": ["San Jose", "SJ"], "end_location": ["San Francisco", "SF"], "avoid_tolls": [true]}}]
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_average', 'description': 'Calculates the average of a list of numbers. Note that the provided function is in Python 3 syntax.', 'parameters': {'type': 'dict', 'properties': {'numbers': {'type': 'array', 'items': {'type': 'integer'}, 'description': 'The list of numbers to calculate the average of.'}}, 'required': ['numbers']}}]


user: You have four sets of numbers: the first set is [23, 45, 67, 89], the second set is [12, 34, 56, 78], the third set is [98, 76, 54, 32], and the fourth set is [87, 65, 43, 21]. Can you calculate the average of each set of numbers?

Available functions:
[{"name": "calculate_average", "description": "Calculates the average of a list of numbers.", "parameters": {"type": "dict", "properties": {"numbers": {"type": "array", "items": {"type": "integer"}, "description": "The list of numbers to calculate the average of."}}, "required": ["numbers"]}}]

Ground truth: [{"calculate_average": {"numbers": [[23, 45, 67, 89]]}}, {"calculate_average": {"numbers": [[12, 34, 56, 78]]}}, {"calculate_average": {"numbers": [[98, 76, 54, 32]]}}, {"calculate_average": {"numbers": [[87, 65, 43, 21]]}}]