{"id": "parallel_45", "official_category": "parallel", "task_type": "media/content", "user_prompt": "What's the current most played Pop song and also find me the current most played Rock song in Australia.", "function": [{"name": "musicCharts.getMostPlayed", "description": "This function retrieves the current most played song in a particular genre from a specified region", "parameters": {"type": "dict", "properties": {"genre": {"type": "string", "description": "Music genre e.g., Rock, Pop, HipHop etc."}, "region": {"type": "string", "description": "Region where the song popularity is to be checked"}, "duration": {"type": "integer", "description": "Time duration in hours for which the music played count will be considered. default is 0"}}, "required": ["genre", "region"]}}], "ground_truth": [{"musicCharts.getMostPlayed": {"genre": ["Pop"], "region": ["Australia", "AU"], "duration": ["", 0]}}, {"musicCharts.getMostPlayed": {"genre": ["Rock"], "region": ["Australia", "AU"], "duration": ["", 0]}}]}
{"id": "live_parallel_9-5-0", "official_category": "live_parallel", "task_type": "parallel_tool_use/general", "user_prompt": "What's cost of 2 and 4 gb ram machine on aws ec2 with one CPU?", "function": [{"name": "get_aws_pricing", "description": "Retrieves the pricing information for an AWS EC2 instance based on the provided memory and CPU requirements. The returned pricing is an estimate and may vary based on region and availability.", "parameters": {"type": "dict", "required": ["memory", "cpu"], "properties": {"memory": {"type": "integer", "description": "The amount of memory required for the instance in gigabytes (GB)."}, "cpu": {"type": "string", "description": "The number of CPU units required for the instance. Valid options are 'single', 'dual', or 'quad'.", "enum": ["single", "dual", "quad"]}, "region": {"type": "string", "description": "The AWS region where the instance will be launched, such as 'us-east-1' or 'eu-central-1'.", "default": "us-east-1"}, "operating_system": {"type": "string", "description": "The operating system to be used on the instance.", "enum": ["Linux", "Windows"], "default": "Linux"}}}}], "ground_truth": [{"get_aws_pricing": {"memory": [2], "cpu": ["single"], "region": ["", "us-east-1"], "operating_system": ["", "Linux"]}}, {"get_aws_pricing": {"memory": [4], "cpu": ["single"], "region": ["", "us-east-1"], "operating_system": ["", "Linux"]}}]}
{"id": "parallel_6", "official_category": "parallel", "task_type": "math/data_processing", "user_prompt": "Calculate the amount of sales tax to be added on a purchase amount of $30.45 in Chicago, Illinois, $52.33 in Sacramento, California and $11.23 in Portland, Oregon.", "function": [{"name": "calculate_sales_tax", "description": "Calculate the sales tax for a given purchase amount in a specific city and state.", "parameters": {"type": "dict", "properties": {"purchase_amount": {"type": "float", "description": "The purchase amount."}, "city": {"type": "string", "description": "The city where the purchase is made."}, "state": {"type": "string", "description": "The state where the purchase is made."}}, "required": ["purchase_amount", "city", "state"]}}], "ground_truth": [{"calculate_sales_tax": {"purchase_amount": [30.45], "city": ["Chicago", "CHI"], "state": ["IL", "Illinois"]}}, {"calculate_sales_tax": {"purchase_amount": [52.33], "city": ["Sacramento"], "state": ["CA", "California"]}}, {"calculate_sales_tax": {"purchase_amount": [11.23], "city": ["Portland"], "state": ["OR", "Oregon"]}}]}
{"id": "parallel_multiple_20", "official_category": "parallel_multiple", "task_type": "parallel_tool_use/general", "user_prompt": "Determine the median and variance for the following data points 3,4,5,2,8,5. Also determine the mode for these points.", "function": [{"name": "statistics.variance", "description": "This function calculates the variance of a given set of numbers.", "parameters": {"type": "dict", "properties": {"data": {"type": "array", "items": {"type": "integer"}, "description": "The list of data points."}, "population": {"type": "boolean", "description": "Determines whether to use population variance formula. Default to True", "default": true}}, "required": ["data"]}}, {"name": "statistics.median", "description": "This function returns the median of the data set provided.", "parameters": {"type": "dict", "properties": {"data": {"type": "array", "items": {"type": "integer"}, "description": "The list of data points."}}, "required": ["data"]}}, {"name": "statistics.mode", "description": "This function determines the mode of a list of numbers.", "parameters": {"type": "dict", "properties": {"data": {"type": "array", "items": {"type": "integer"}, "description": "The list of data points."}}, "required": ["data"]}}], "ground_truth": [{"statistics.median": {"data": [[3, 4, 5, 2, 8, 5]]}}, {"statistics.variance": {"data": [[3, 4, 5, 2, 8, 5]], "population": [true, false, ""]}}, {"statistics.mode": {"data": [[3, 4, 5, 2, 8, 5]]}}]}
{"id": "parallel_multiple_57", "official_category": "parallel_multiple", "task_type": "travel/local_services/logistics", "user_prompt": "Find hotels in Paris, France and New York, USA with at least 4 stars rating. Also I prefer hotels with amenities like free WiFi, breakfast included, and gym facility", "function": [{"name": "hotel.find", "description": "Search for hotels given the location, minimum stars and specific amenities.", "parameters": {"type": "dict", "properties": {"location": {"type": "string", "description": "The city where you want to find the hotel"}, "stars": {"type": "integer", "description": "Minimum number of stars the hotel should have. Default 1"}, "amenities": {"type": "array", "items": {"type": "string", "description": "Preferred amenities in hotel. Here are a list of possible option : 'Free WiFi', 'Breakfast Included', 'Gym', 'Free Parking'", "enum": ["Free WiFi", "Breakfast Included", "Gym", "Free Parking"]}, "description": "List of preferred amenities in hotel. Default to empty array"}}, "required": ["location", "stars"]}}, {"name": "flight.search", "description": "Search for flights given the origin, destination, date, and number of passengers.", "parameters": {"type": "dict", "properties": {"origin": {"type": "string", "description": "The origin of the flight"}, "destination": {"type": "string", "description": "The destination of the flight"}, "date": {"type": "any", "description": "The date of the flight. Default ''"}, "passengers": {"type": "integer", "description": "The number of passengers", "default": 1}}, "required": ["origin", "destination"]}}], "ground_truth": [{"hotel.find": {"location": ["Paris", "Paris, France", "France"], "stars": [4], "amenities": [["Free WiFi", "Breakfast Included", "Gym"]]}}, {"hotel.find": {"location": ["New York", "New York, USA", "NY", "NY, USA", "USA"], "stars": [4], "amenities": [["Free WiFi", "Breakfast Included", "Gym"]]}}]}
{"id": "parallel_47", "official_category": "parallel", "task_type": "parallel_tool_use/general", "user_prompt": "What is the current ranking of Barcelona and Manchester United in the UEFA Champions League and La Liga respectively?", "function": [{"name": "get_team_ranking", "description": "Retrieve the current ranking of a football team in a specific league.", "parameters": {"type": "dict", "properties": {"team": {"type": "string", "description": "The name of the football team."}, "league": {"type": "string", "description": "The league the team is competing in. E.g. UEFA Champions League, La Liga."}}, "required": ["team", "league"]}}], "ground_truth": [{"get_team_ranking": {"team": ["Barcelona", "Barca"], "league": ["UEFA Champions League", "Champions League"]}}, {"get_team_ranking": {"team": ["Manchester United", "Man United", "Man U", "MUFC"], "league": ["La Liga"]}}]}
{"id": "parallel_multiple_197", "official_category": "parallel_multiple", "task_type": "travel/local_services/logistics", "user_prompt": "\"Could you help me plan a dinner party? I need to find a Vegetarian recipe that uses potatoes, carrots, and onions and serves 4 people. Also, I'm hosting this party in New York and I would like to know the detailed weather forecast for the next 12 hours, including precipitation details. Lastly, my friend is joining from Tokyo and I need to know the time difference between New York and Tokyo to schedule the party at a convenient time for both of us.\"", "function": [{"name": "recipe_search", "description": "Search for a recipe given dietary restriction, ingredients, and number of servings.", "parameters": {"type": "dict", "properties": {"dietary_restriction": {"type": "string", "description": "The dietary restriction, e.g., 'Vegetarian'."}, "ingredients": {"type": "array", "items": {"type": "string"}, "description": "The list of ingredients."}, "servings": {"type": "integer", "description": "The number of servings the recipe should make"}}, "required": ["dietary_restriction", "ingredients", "servings"]}}, {"name": "get_time_difference", "description": "Get the time difference between two places.", "parameters": {"type": "dict", "properties": {"place1": {"type": "string", "description": "The first place for time difference."}, "place2": {"type": "string", "description": "The second place for time difference."}}, "required": ["place1", "place2"]}}, {"name": "detailed_weather_forecast", "description": "Retrieve a detailed weather forecast for a specific location and duration including optional precipitation details.", "parameters": {"type": "dict", "properties": {"location": {"type": "string", "description": "The city that you want to get the weather for."}, "duration": {"type": "integer", "description": "Duration in hours for the detailed forecast."}, "include_precipitation": {"type": "boolean", "description": "Whether to include precipitation data in the forecast. Default is false."}}, "required": ["location", "duration"]}}], "ground_truth": [{"recipe_search": {"dietary_restriction": ["Vegetarian"], "ingredients": [["potatoes", "carrots", "onions"]], "servings": [4]}}, {"detailed_weather_forecast": {"location": ["New York", "NY"], "duration": [12], "include_precipitation": [true]}}, {"get_time_difference": {"place1": ["New York", "NY"], "place2": ["Tokyo"]}}]}
{"id": "parallel_multiple_0", "official_category": "parallel_multiple", "task_type": "math/data_processing", "user_prompt": "Find the sum of all the multiples of 3 and 5 between 1 and 1000. Also find the product of the first five prime numbers.", "function": [{"name": "math_toolkit.sum_of_multiples", "description": "Find the sum of all multiples of specified numbers within a specified range.", "parameters": {"type": "dict", "properties": {"lower_limit": {"type": "integer", "description": "The start of the range (inclusive)."}, "upper_limit": {"type": "integer", "description": "The end of the range (inclusive)."}, "multiples": {"type": "array", "items": {"type": "integer"}, "description": "The numbers to find multiples of."}}, "required": ["lower_limit", "upper_limit", "multiples"]}}, {"name": "math_toolkit.product_of_primes", "description": "Find the product of the first n prime numbers.", "parameters": {"type": "dict", "properties": {"count": {"type": "integer", "description": "The number of prime numbers to multiply together."}}, "required": ["count"]}}], "ground_truth": [{"math_toolkit.sum_of_multiples": {"lower_limit": [1], "upper_limit": [1000], "multiples": [[3, 5]]}}, {"math_toolkit.product_of_primes": {"count": [5]}}]}
{"id": "parallel_multiple_7", "official_category": "parallel_multiple", "task_type": "math/data_processing", "user_prompt": "Calculate the time required for a car moving at 50 m/s to travel a distance of 600 m. Also calculate the time required for a bullet moving at 400 m/s to cover a distance of 1000 m.", "function": [{"name": "physics.calculate_force", "description": "Calculate the force required to move an object of a particular mass at a particular acceleration.", "parameters": {"type": "dict", "properties": {"mass": {"type": "integer", "description": "The mass of the object in kg."}, "acceleration": {"type": "integer", "description": "The acceleration of the object in m/s^2."}}, "required": ["mass", "acceleration"]}}, {"name": "kinematics.calculate_time", "description": "Calculate time required for an object to travel a particular distance at a particular velocity.", "parameters": {"type": "dict", "properties": {"velocity": {"type": "integer", "description": "The velocity of the object in m/s."}, "distance": {"type": "integer", "description": "The distance covered by the object in meters."}}, "required": ["velocity", "distance"]}}], "ground_truth": [{"kinematics.calculate_time": {"velocity": [50], "distance": [600]}}, {"kinematics.calculate_time": {"velocity": [400], "distance": [1000]}}]}
{"id": "parallel_152", "official_category": "parallel", "task_type": "math/data_processing", "user_prompt": "\"Can you calculate the result of the following mathematical operation: first, raise the number 3 to the power of 5, then raise the number 2 to the power of 3.\"", "function": [{"name": "math.power", "description": "Calculate the power of one number raised to another.", "parameters": {"type": "dict", "properties": {"base": {"type": "integer", "description": "The base number."}, "exponent": {"type": "integer", "description": "The exponent."}, "mod": {"type": "float", "description": "The modulus. Default is None. Calculates pow(base, exponent) % mod when provided."}}, "required": ["base", "exponent"]}}], "ground_truth": [{"math.power": {"base": [2], "exponent": [3], "mod": ["", null]}}, {"math.power": {"base": [3], "exponent": [5], "mod": ["", null]}}]}
{"id": "parallel_2", "official_category": "parallel", "task_type": "math/data_processing", "user_prompt": "Calculate the resistance of a wire with a length of 5m and cross sectional area 0.01m² with resistivity of copper and aluminum", "function": [{"name": "calculate_resistance", "description": "Calculate the resistance of a wire using resistivity, length, and cross-sectional area.", "parameters": {"type": "dict", "properties": {"length": {"type": "integer", "description": "The length of the wire in meters."}, "area": {"type": "float", "description": "The cross-sectional area of the wire in square meters."}, "resistivity": {"type": "string", "description": "Resistivity of the material (Default: 'copper'). Allowed values: 'copper', 'aluminum'"}}, "required": ["length", "area"]}}], "ground_truth": [{"calculate_resistance": {"length": [5], "area": [0.01], "resistivity": ["copper", ""]}}, {"calculate_resistance": {"length": [5], "area": [0.01], "resistivity": ["aluminum"]}}]}
{"id": "parallel_multiple_53", "official_category": "parallel_multiple", "task_type": "support/ticketing", "user_prompt": "Find a board game with complexity rating under 2.5 and that supports more than 5 players, as well as a trivia game that could be played within 60 minutes.", "function": [{"name": "card_game_search", "description": "Locate a card game based on a specific theme.", "parameters": {"type": "dict", "properties": {"theme": {"type": "string", "description": "The theme for the card game."}}, "required": ["theme"]}}, {"name": "board_game_search", "description": "Locate a board game based on specific criteria.", "parameters": {"type": "dict", "properties": {"complexity": {"type": "float", "description": "The maximum complexity rating of the board game (lower is simpler)."}, "player_count": {"type": "integer", "description": "The minimum player count for the board game."}}, "required": ["complexity", "player_count"]}}, {"name": "trivia_game_search", "description": "Locate a trivia game based on play duration.", "parameters": {"type": "dict", "properties": {"duration": {"type": "float", "description": "The maximum playing duration for the trivia game in minutes."}}, "required": ["duration"]}}], "ground_truth": [{"board_game_search": {"complexity": [2.5], "player_count": [6]}}, {"trivia_game_search": {"duration": [60.0, 45.0, 30.0]}}]}
{"id": "parallel_99", "official_category": "parallel", "task_type": "math/data_processing", "user_prompt": "\"Can you help me calculate the energy required for a phase change? I have a science experiment where I am first melting 500 grams of ice at 0 degrees Celsius, then I am freezing it back. After that, I am vaporizing the same mass of water at 100 degrees Celsius and then condensing it back to liquid state. The substance I am using for this experiment is water. Can you tell me how much energy is required or released during each of these phase changes?\"", "function": [{"name": "thermo.calculate_energy", "description": "Calculate the energy required or released during a phase change using mass, the phase transition temperature and the specific latent heat.", "parameters": {"type": "dict", "properties": {"mass": {"type": "integer", "description": "Mass of the substance in grams."}, "phase_transition": {"type": "string", "description": "Phase transition. Can be 'melting', 'freezing', 'vaporization', 'condensation'."}, "substance": {"type": "string", "description": "The substance which is undergoing phase change, default is 'water'"}}, "required": ["mass", "phase_transition"]}}], "ground_truth": [{"thermo.calculate_energy": {"mass": [500], "phase_transition": ["melting"], "substance": ["water", ""]}}, {"thermo.calculate_energy": {"mass": [500], "phase_transition": ["freezing"], "substance": ["water", ""]}}, {"thermo.calculate_energy": {"mass": [500], "phase_transition": ["vaporization"], "substance": ["water", ""]}}, {"thermo.calculate_energy": {"mass": [500], "phase_transition": ["condensation"], "substance": ["water", ""]}}]}
{"id": "parallel_multiple_125", "official_category": "parallel_multiple", "task_type": "travel/local_services/logistics", "user_prompt": "\"Can you help me plan a day out in Seattle, WA for my group of 10 friends? We are food lovers and would like to try some Seafood and Italian cuisine for lunch. Later in the evening, we are interested in attending a Concert or a Sports event. Could you find suitable restaurants and events for us?\"", "function": [{"name": "restaurant.find_group", "description": "Find restaurants suitable for groups based on specified criteria such as location and cuisine.", "parameters": {"type": "dict", "properties": {"location": {"type": "string", "description": "The city and state, e.g. Seattle, WA"}, "cuisine": {"type": "array", "items": {"type": "string", "enum": ["Seafood", "Italian", "Indian", "Chinese"]}, "description": "Preferred cuisine at the restaurant. Default is all if not specified."}, "group_size": {"type": "integer", "description": "Size of the group that the restaurant should accommodate."}}, "required": ["location", "group_size"]}}, {"name": "events.find_event", "description": "Find events suitable for groups based on specified criteria such as location and event type.", "parameters": {"type": "dict", "properties": {"location": {"type": "string", "description": "The city and state, e.g. Seattle, WA"}, "event_type": {"type": "array", "items": {"type": "string", "enum": ["Concert", "Sports", "Exhibition", "Festival"]}, "description": "Type of event. Default is all if not specified."}, "group_size": {"type": "integer", "description": "Size of the group that the event should accommodate."}}, "required": ["location", "group_size"]}}], "ground_truth": [{"restaurant.find_group": {"location": ["Seattle, WA", "WA", "Seattle"], "cuisine": [["Seafood", "Italian"]], "group_size": [10]}}, {"events.find_event": {"location": ["Seattle, WA", "WA", "Seattle"], "event_type": [["Concert", "Sports"]], "group_size": [10]}}]}
{"id": "parallel_54", "official_category": "parallel", "task_type": "finance/trading", "user_prompt": "I want to order a large pepperoni pizza and a chicken Caesar salad from Whole Foods at the downtown location and then another order of the same items from the uptown location.", "function": [{"name": "whole_foods.order", "description": "Order food from Whole Foods", "parameters": {"type": "dict", "properties": {"location": {"type": "string", "description": "Location of Whole Foods."}, "items": {"type": "array", "items": {"type": "string"}, "description": "List of items to order."}, "size": {"type": "string", "description": "Size of the order.", "enum": ["small", "medium", "large"]}}, "required": ["location", "items", "size"]}}], "ground_truth": [{"whole_foods.order": {"location": ["downtown", "Downtown"], "items": [["pepperoni pizza", "chicken Caesar salad"], ["chicken Caesar salad", "pepperoni pizza"]], "size": ["large"]}}, {"whole_foods.order": {"location": ["uptown", "Uptown"], "items": [["pepperoni pizza", "chicken Caesar salad"], ["chicken Caesar salad", "pepperoni pizza"]], "size": ["large"]}}]}
{"id": "live_parallel_5-2-0", "official_category": "live_parallel", "task_type": "parallel_tool_use/general", "user_prompt": "Could you tell me the current temperature in Boston, MA and San Francisco, please?", "function": [{"name": "get_current_weather", "description": "Retrieves the current weather information for a specified location using the Open-Meteo API.", "parameters": {"type": "dict", "required": ["location"], "properties": {"url": {"type": "string", "description": "The API endpoint for fetching weather data, with a default value pointing to the Open-Meteo API service.", "default": "https://api.open-meteo.com/v1/forecast"}, "location": {"type": "string", "description": "The geographical location for which to retrieve weather data, in the format of 'City, State', such as 'San Francisco, CA'. If using state name, then use short form."}, "unit": {"type": "string", "description": "The unit of measurement for temperature values.", "enum": ["celsius", "fahrenheit"], "default": "celsius"}}}}], "ground_truth": [{"get_current_weather": {"location": ["Boston, MA"], "unit": ["", "fahrenheit"], "url": ["", "https://api.open-meteo.com/v1/forecast"]}}, {"get_current_weather": {"location": ["San Francisco, CA"], "unit": ["", "fahrenheit"], "url": ["", "https://api.open-meteo.com/v1/forecast"]}}]}
{"id": "parallel_multiple_22", "official_category": "parallel_multiple", "task_type": "search/research", "user_prompt": "Find me the sales growth rate for company XYZ for the last 3 years and also the interest coverage ratio for the same duration.", "function": [{"name": "financial_ratios.interest_coverage", "description": "Calculate a company's interest coverage ratio given the company name and duration", "parameters": {"type": "dict", "properties": {"company_name": {"type": "string", "description": "The name of the company."}, "years": {"type": "integer", "description": "Number of past years to calculate the ratio."}}, "required": ["company_name", "years"]}}, {"name": "sales_growth.calculate", "description": "Calculate a company's sales growth rate given the company name and duration", "parameters": {"type": "dict", "properties": {"company": {"type": "string", "description": "The company that you want to get the sales growth rate for."}, "years": {"type": "integer", "description": "Number of past years for which to calculate the sales growth rate."}}, "required": ["company", "years"]}}, {"name": "weather_forecast", "description": "Retrieve a weather forecast for a specific location and time frame.", "parameters": {"type": "dict", "properties": {"location": {"type": "string", "description": "The city that you want to get the weather for."}, "days": {"type": "integer", "description": "Number of days for the forecast."}}, "required": ["location", "days"]}}], "ground_truth": [{"financial_ratios.interest_coverage": {"company_name": ["XYZ"], "years": [3]}}, {"sales_growth.calculate": {"company": ["XYZ"], "years": [3]}}]}
{"id": "parallel_multiple_55", "official_category": "parallel_multiple", "task_type": "parallel_tool_use/general", "user_prompt": "I want a homemade healthy spaghetti recipe that is gluten free, how long will it take to prepare and cook, and what nutritional information could it provide me.", "function": [{"name": "recipe_prep_time", "description": "Calculate the estimated preparation and cooking time for a specified recipe.", "parameters": {"type": "dict", "properties": {"recipe": {"type": "string", "description": "Name of the recipe to calculate time for."}}, "required": ["recipe"]}}, {"name": "recipe_nutrition_info", "description": "Provide detailed nutritional information for a specified recipe.", "parameters": {"type": "dict", "properties": {"recipe": {"type": "string", "description": "Name of the recipe to fetch nutrition info for."}}, "required": ["recipe"]}}, {"name": "recipe_search", "description": "Search for a recipe based on a particular ingredient or dietary requirement.", "parameters": {"type": "dict", "properties": {"ingredient": {"type": "string", "description": "The ingredient that you want to have in the recipe."}, "dietary_requirements": {"type": "array", "items": {"type": "string", "enum": ["gluten_free", "dairy_free", "vegetarian", "vegan"]}, "description": "Dietary requirements in the recipe."}, "isHomemade": {"type": "boolean", "description": "If true, returns homemade recipe; otherwise, return not homemade recipe."}}, "required": ["ingredient", "dietary_requirements", "isHomemade"]}}], "ground_truth": [{"recipe_search": {"ingredient": ["spaghetti"], "dietary_requirements": [["gluten_free"]], "isHomemade": [true]}}, {"recipe_prep_time": {"recipe": ["spaghetti", "homemade healthy spaghetti", "Homemade healthy gluten free spaghetti", "homemade_spaghetti"]}}, {"recipe_nutrition_info": {"recipe": ["homemade_spaghetti", "homemade healthy spaghetti", "spaghetti", "Homemade healthy gluten free spaghetti"]}}]}
{"id": "parallel_59", "official_category": "parallel", "task_type": "math/data_processing", "user_prompt": "How much will it cost in dollars if I transfer 15000 Euro to dollars? and how much if I convert 200 pounds to dollars?", "function": [{"name": "get_conversion_cost", "description": "Convert a value from one currency to another including conversion charges.", "parameters": {"type": "dict", "properties": {"amount": {"type": "integer", "description": "The amount of money to be converted."}, "from_currency": {"type": "string", "description": "The current currency of the amount."}, "to_currency": {"type": "string", "description": "The target currency."}}, "required": ["amount", "from_currency", "to_currency"]}}], "ground_truth": [{"get_conversion_cost": {"amount": [15000], "from_currency": ["Euro", "EUR"], "to_currency": ["dollars", "USD", "Dollar"]}}, {"get_conversion_cost": {"amount": [200], "from_currency": ["pounds", "GBP"], "to_currency": ["dollars", "USD"]}}]}
{"id": "parallel_136", "official_category": "parallel", "task_type": "math/data_processing", "user_prompt": "What is the shortest distance between New York and Los Angeles using a bus as the preferred mode of public transportation, and then what is the shortest distance if we allow transfer between different modes of transportation?", "function": [{"name": "city_distance.find_shortest", "description": "Calculates the shortest distance between two cities via available public transportation.", "parameters": {"type": "dict", "properties": {"start_city": {"type": "string", "description": "The city you are starting from."}, "end_city": {"type": "string", "description": "The city you are heading to."}, "transportation": {"type": "string", "description": "Preferred mode of public transportation. Default is 'bus'."}, "allow_transfer": {"type": "boolean", "description": "Allows transfer between different transportation if true. default is False"}}, "required": ["start_city", "end_city"]}}], "ground_truth": [{"city_distance.find_shortest": {"start_city": ["New York", "New York, NY", "NYC"], "end_city": ["Los Angeles", "Los Angeles, CA", "LA"], "transportation": ["bus", ""], "allow_transfer": ["", false]}}, {"city_distance.find_shortest": {"start_city": ["New York", "New York, NY", "NYC"], "end_city": ["Los Angeles", "Los Angeles, CA", "LA"], "transportation": ["bus", ""], "allow_transfer": [true]}}]}
{"id": "parallel_multiple_171", "official_category": "parallel_multiple", "task_type": "parallel_tool_use/general", "user_prompt": "\"Could you please tell me the ranking of the New York Yankees in the Major League Baseball for the 2019 season, then check the ranking of the Los Angeles Lakers in the National Basketball Association for the 2020 season, and finally, could you provide the air quality index for Los Angeles on December 25, 2020 and for New York on January 1, 2021?\"", "function": [{"name": "air_quality", "description": "Retrieve the air quality index for a specific location.", "parameters": {"type": "dict", "properties": {"location": {"type": "string", "description": "The city that you want to get the air quality index for."}, "date": {"type": "string", "description": "The date you want to get the air quality index for. Default is today."}}, "required": ["location", "date"]}}, {"name": "sports_ranking", "description": "Fetch the ranking of a specific sports team in a specific league", "parameters": {"type": "dict", "properties": {"team": {"type": "string", "description": "The name of the team."}, "league": {"type": "string", "description": "The name of the league."}, "season": {"type": "integer", "description": "Optional parameter to specify the season, default is 2023 if not specified."}}, "required": ["team", "league"]}}], "ground_truth": [{"sports_ranking": {"team": ["New York Yankees", "NY Yankees"], "league": ["Major League Baseball", "MLB"], "season": [2019]}}, {"sports_ranking": {"team": ["Los Angeles Lakers", "LA Lakers"], "league": ["National Basketball Association", "NBA"], "season": [2020]}}, {"air_quality": {"location": ["Los Angeles", "Los Angeles, California", "LA"], "date": ["2020-12-25", "12/25/2020", "Dec 25, 2020", "December 25, 2020"]}}, {"air_quality": {"location": ["New York", "New York, NY", "NY"], "date": ["2021-01-01", "01/01/2021", "Jan 1, 2021", "January 1, 2021"]}}]}
{"id": "parallel_147", "official_category": "parallel", "task_type": "math/data_processing", "user_prompt": "\"Can you calculate the time it would take for light to travel from Earth to a newly discovered exoplanet that is 4.22 light years away, then to another exoplanet that is 6.1 light years from the first one, and finally back to Earth which is 5.88 light years from the second exoplanet? Assume the speed of light in vacuum is 299792458 m/s.\"", "function": [{"name": "light_travel_time", "description": "Calculate the time taken for light to travel from a celestial body to another.", "parameters": {"type": "dict", "properties": {"distance_in_light_years": {"type": "float", "description": "The distance between the two celestial bodies in light years."}, "speed_of_light": {"type": "integer", "description": "The speed of light in vacuum, in m/s. Default value is 299792458 m/s."}}, "required": ["distance_in_light_years"]}}], "ground_truth": [{"light_travel_time": {"distance_in_light_years": [4.22], "speed_of_light": [299792458, ""]}}, {"light_travel_time": {"distance_in_light_years": [6.1], "speed_of_light": [299792458, ""]}}, {"light_travel_time": {"distance_in_light_years": [5.88], "speed_of_light": [299792458, ""]}}]}
{"id": "parallel_multiple_82", "official_category": "parallel_multiple", "task_type": "math/data_processing", "user_prompt": "\"Imagine you are a sculptor working on a large project. You have two different types of materials available to you, each with a different density. The first material has a density of 5.2 g/cm^3 and the second material has a density of 7.8 g/cm^3. You are planning to create two identical cones, each with a base radius of 10 cm and a height of 30 cm. The first cone will be made from the first material and the second cone will be made from the second material. Can you calculate the volume of each cone, rounding off to 2 decimal places, and then calculate the mass of each cone using their respective densities?\"", "function": [{"name": "geometry.calculate_cone_volume", "description": "Calculate the volume of a cone given the radius and height.", "parameters": {"type": "dict", "properties": {"radius": {"type": "float", "description": "Radius of the cone base."}, "height": {"type": "float", "description": "Height of the cone."}, "round_off": {"type": "integer", "description": "Number of decimal places to round off the answer.", "default": 2}}, "required": ["radius", "height"]}}, {"name": "physics.calculate_cone_mass", "description": "Calculate the mass of a cone given the radius, height, and density.", "parameters": {"type": "dict", "properties": {"radius": {"type": "float", "description": "Radius of the cone base."}, "height": {"type": "float", "description": "Height of the cone."}, "density": {"type": "float", "description": "Density of the material the cone is made of."}}, "required": ["radius", "height", "density"]}}], "ground_truth": [{"geometry.calculate_cone_volume": {"radius": [10.0], "height": [30.0], "round_off": [2, ""]}}, {"physics.calculate_cone_mass": {"radius": [10.0], "height": [30.0], "density": [5.2]}}, {"physics.calculate_cone_mass": {"radius": [10.0], "height": [30.0], "density": [7.8]}}]}
{"id": "parallel_multiple_67", "official_category": "parallel_multiple", "task_type": "math/data_processing", "user_prompt": "\"Can you help me with some math problems? First, I need to find the roots of a quadratic equation. The equation is 3x^2 + 4x - 7 = 0, where 3 is the coefficient of the second-degree term, 4 is the coefficient of the first-degree term, and -7 is the constant term. \n\nSecond, I have a cubic equation, 2x^3 - 5x^2 + 3x - 1 = 0. Here, 2 is the coefficient of the third-degree term, -5 is the coefficient of the second-degree term, 3 is the coefficient of the first-degree term, and -1 is the constant term. \n\nFinally, I have a polynomial equation of degree 4, which is 6x^4 - 3x^3 + 2x^2 - x + 1 = 0. The array of coefficients of the polynomial equation starting from the highest degree term is [6, -3, 2, -1, 1]. Can you calculate the roots for these equations?\"", "function": [{"name": "math.roots.polynomial", "description": "Calculate the roots of a polynomial equation.", "parameters": {"type": "dict", "properties": {"coefficients": {"type": "array", "items": {"type": "float"}, "description": "Array of coefficients of the polynomial equation starting from highest degree term."}, "degree": {"type": "float", "description": "Degree of the polynomial equation.", "default": 4}}, "required": ["coefficients"]}}, {"name": "math.roots.cubic", "description": "Calculate the roots of a cubic equation.", "parameters": {"type": "dict", "properties": {"a": {"type": "float", "description": "Coefficient of the third-degree term."}, "b": {"type": "float", "description": "Coefficient of the second-degree term."}, "c": {"type": "float", "description": "Coefficient of the first-degree term."}, "d": {"type": "float", "description": "Constant term."}}, "required": ["a", "b", "c", "d"]}}, {"name": "math_roots.quadratic", "description": "Calculate the roots of a quadratic equation.", "parameters": {"type": "dict", "properties": {"a": {"type": "float", "description": "Coefficient of the second-degree term."}, "b": {"type": "float", "description": "Coefficient of the first-degree term."}, "c": {"type": "float", "description": "Constant term."}}, "required": ["a", "b", "c"]}}], "ground_truth": [{"math_roots.quadratic": {"a": [3.0], "b": [4.0], "c": [-7.0]}}, {"math.roots.cubic": {"a": [2.0], "b": [-5.0], "c": [3.0], "d": [-1.0]}}, {"math.roots.polynomial": {"coefficients": [[6.0, -3.0, 2.0, -1.0, 1.0]], "degree": [4.0, ""]}}]}
{"id": "parallel_multiple_184", "official_category": "parallel_multiple", "task_type": "parallel_tool_use/general", "user_prompt": "\"Could you first analyze the structure of a building with the building_id 'B1234' for floors 1, 2, 3, and 4 using the 'dynamic' mode of analysis? Then, could you retrieve the player statistics for 'Michael Jordan' for the year 1996? After that, can you analyze the structure of another building with the building_id 'B5678' for floors 5, 6, 7, and 8 using the 'static' mode of analysis? Finally, could you retrieve the player statistics for 'LeBron James' for the year 2018, specifically for his time with the 'Los Angeles Lakers' team?\"", "function": [{"name": "analyze_structure", "description": "Analyze a structure of a building based on its Id and floor numbers.", "parameters": {"type": "dict", "properties": {"building_id": {"type": "string", "description": "The unique identification number of the building."}, "floors": {"type": "array", "items": {"type": "integer"}, "description": "Floor numbers to be analyzed."}, "mode": {"type": "string", "description": "Mode of analysis, e.g. 'static' or 'dynamic'. Default is 'static'."}}, "required": ["building_id", "floors"]}}, {"name": "player_statistic", "description": "Retrieves detailed player's statistics for a specific year.", "parameters": {"type": "dict", "properties": {"player_name": {"type": "string", "description": "The player's name."}, "year": {"type": "integer", "description": "Year for which the statistics will be displayed."}, "team_name": {"type": "string", "description": "The name of the team(optional). Default is all if not specified."}}, "required": ["player_name", "year"]}}], "ground_truth": [{"analyze_structure": {"building_id": ["B1234"], "floors": [[1, 2, 3, 4]], "mode": ["dynamic"]}}, {"player_statistic": {"player_name": ["Michael Jordan"], "year": [1996], "team_name": [""]}}, {"analyze_structure": {"building_id": ["B5678"], "floors": [[5, 6, 7, 8]], "mode": ["static", ""]}}, {"player_statistic": {"player_name": ["LeBron James"], "year": [2018], "team_name": ["Los Angeles Lakers", "Lakers"]}}]}
{"id": "parallel_173", "official_category": "parallel", "task_type": "math/data_processing", "user_prompt": "\"John has decided to invest in two different funds. He invested $5000 in Fund A which has an annual return rate of 7% and he plans to keep his money there for 5 years. On the other hand, he invested $8000 in Fund B with an annual return rate of 5% for a period of 7 years. Can you predict the profit John will make from both Fund A and Fund B?\"", "function": [{"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]}}, {"investment.predictProfit": {"investment_amount": [8000], "annual_return": [0.05], "years": [7]}}]}
{"id": "parallel_196", "official_category": "parallel", "task_type": "parallel_tool_use/general", "user_prompt": "Can you please retrieve the details of two lawsuits for me? The first one has a case number of '12345' and was filed in the 'New York Supreme Court'. I would also like to know the verdict details for this case. The second lawsuit has a case number '67890' and was filed in the 'Los Angeles Superior Court'. I do not need the verdict details for this case.", "function": [{"name": "get_lawsuit_details", "description": "Retrieve details of a lawsuit based on its case number and court location.", "parameters": {"type": "dict", "properties": {"case_number": {"type": "string", "description": "Case number of the lawsuit."}, "court_location": {"type": "string", "description": "The location of the court where the lawsuit was filed."}, "with_verdict": {"type": "boolean", "description": "Flag to include verdict details if available. Default is False"}}, "required": ["case_number", "court_location"]}}], "ground_truth": [{"get_lawsuit_details": {"case_number": ["12345"], "court_location": ["New York Supreme Court", "NY Supreme Court"], "with_verdict": [true]}}, {"get_lawsuit_details": {"case_number": ["67890"], "court_location": ["Los Angeles Superior Court", "LA Superior Court"], "with_verdict": [false, ""]}}]}
{"id": "parallel_28", "official_category": "parallel", "task_type": "parallel_tool_use/general", "user_prompt": "What is the temperature right now and for the next three hours in Seattle and Los Angeles?", "function": [{"name": "get_current_and_future_temperature", "description": "Provides the current temperature and forecasts the temperature for the next few hours at a particular location.", "parameters": {"type": "dict", "properties": {"location": {"type": "string", "description": "The city that you want to get the temperature for."}, "hours": {"type": "integer", "description": "Number of hours for the temperature forecast."}}, "required": ["location", "hours"]}}], "ground_truth": [{"get_current_and_future_temperature": {"location": ["Seattle", "Seattle, Washington", "Seattle, WA"], "hours": [3]}}, {"get_current_and_future_temperature": {"location": ["Los Angeles", "Los Angeles, CA", "LA", "Los Angeles, California", "Los Angeles, CA"], "hours": [3]}}]}
{"id": "parallel_multiple_21", "official_category": "parallel_multiple", "task_type": "math/data_processing", "user_prompt": "Use the data from dataset.csv file and fit a linear regression model to predict future sales by setting x=data['sales'] and y=data['future_sales']. Additionally, calculate and return the residuals.", "function": [{"name": "linear_regression_fit", "description": "Fit a linear regression model to data.", "parameters": {"type": "dict", "properties": {"x": {"type": "array", "items": {"type": "float"}, "description": "Array of the predictor variable."}, "y": {"type": "array", "items": {"type": "float"}, "description": "Array of the dependent variable."}, "return_residuals": {"type": "boolean", "description": "Flag indicating whether to return the residuals (the difference between the observed and predicted values). Optional.", "default": "false"}}, "required": ["x", "y"]}}, {"name": "data_loading", "description": "Load data from a csv file into a data structure.", "parameters": {"type": "dict", "properties": {"file_path": {"type": "string", "description": "The path to the file to load."}, "delimiter": {"type": "string", "description": "The character used to separate values in the file. Optional.", "default": ","}}, "required": ["file_path"]}}], "ground_truth": [{"data_loading": {"file_path": ["dataset.csv"], "delimiter": [",", ""]}}, {"linear_regression_fit": {"x": ["data['sales']"], "y": ["data['future_sales']"], "return_residuals": [true]}}]}
{"id": "parallel_139", "official_category": "parallel", "task_type": "parallel_tool_use/general", "user_prompt": "Can you use the function 'employee.fetch_data' to fetch the 'Personal Info', 'Job History', 'Payroll', and 'Attendance' data fields for an employee with the unique ID of 12345 from the company named 'Tech Solutions'? And then, can you repeat the same process for another employee with the unique ID of 67890 from the same company?", "function": [{"name": "employee.fetch_data", "description": "Fetches the detailed data for a specific employee in a given company.", "parameters": {"type": "dict", "properties": {"company_name": {"type": "string", "description": "The name of the company."}, "employee_id": {"type": "integer", "description": "The unique ID of the employee."}, "data_field": {"type": "array", "items": {"type": "string", "enum": ["Personal Info", "Job History", "Payroll", "Attendance"]}, "description": "Fields of data to be fetched for the employee (Optional).", "default": ["Personal Info"]}}, "required": ["company_name", "employee_id"]}}], "ground_truth": [{"employee.fetch_data": {"company_name": ["Tech Solutions"], "employee_id": [12345], "data_field": [["Personal Info", "Job History", "Payroll", "Attendance"]]}}, {"employee.fetch_data": {"company_name": ["Tech Solutions"], "employee_id": [67890], "data_field": [["Personal Info", "Job History", "Payroll", "Attendance"]]}}]}
{"id": "live_parallel_multiple_11-10-0", "official_category": "live_parallel_multiple", "task_type": "travel/local_services/logistics", "user_prompt": "I'm trying to fix a compilation error in my Java project. Specifically, the class 'StringNumberHandler' extends 'AbstractCellHandler' and overrides several methods like 'getCellValue', 'setCellValue', 'getExcelType', and 'getDefaultExcelFormat'. However, I'm getting an error saying that the method 'getNumericValue()' cannot be found in 'CellResult'. Find relevant classes that might be related to 'CellResult' in the repository including subdirectories? Also, could you provide the signatures of 'setCellValue' and 'getCellValue' methods in the 'AbstractCellHandler' class to ensure I'm overriding them correctly?", "function": [{"name": "get_class_info", "description": "Retrieves information about the methods, properties, and constructor of a specified class if it exists within the module.", "parameters": {"type": "dict", "required": ["class_name"], "properties": {"class_name": {"type": "string", "description": "The name of the class to retrieve information for, as it appears in the source code."}, "include_private": {"type": "boolean", "description": "Determines whether to include private methods and properties, which are typically denoted by a leading underscore.", "default": false}, "module_name": {"type": "string", "description": "The name of the module where the class is defined. This is optional if the class is within the current module.", "default": null}}}}, {"name": "get_signature", "description": "Retrieves the signature of a specified method within a given class, if available. The signature includes parameter names and their respective types.", "parameters": {"type": "dict", "required": ["class_name", "method_name"], "properties": {"class_name": {"type": "string", "description": "The name of the class that contains the method for which the signature is requested."}, "method_name": {"type": "string", "description": "The exact name of the method whose signature is to be retrieved."}, "include_private": {"type": "boolean", "description": "A flag to indicate whether to include private methods' signatures in the search. ", "default": false}}}}, {"name": "get_relevant_classes", "description": "Retrieves a list of class names from the repository that potentially match the provided search criteria. This function is particularly useful when searching for utility classes or classes related to a specific functionality.", "parameters": {"type": "dict", "required": ["search_string"], "properties": {"search_string": {"type": "string", "description": "The keyword or phrase used to filter relevant classes in the repository."}, "case_sensitive": {"type": "boolean", "description": "Determines if the search should be case sensitive. By default, the search is not case sensitive.", "default": false}, "include_subdirectories": {"type": "boolean", "description": "Indicates whether to include subdirectories in the search. Defaults to false to search only at the root level.", "default": false}}}}, {"name": "get_imports", "description": "This function analyzes the code from the previous attempt and returns a list of suggested imports that may resolve missing references.", "parameters": {"type": "dict", "required": ["code_snippet", "language"], "properties": {"code_snippet": {"type": "string", "description": "The snippet of code from the previous attempt that potentially requires additional imports."}, "language": {"type": "string", "description": "The programming language of the code snippet.", "enum": ["Python", "Java", "C#", "JavaScript"]}, "include_standard_library": {"type": "boolean", "description": "A flag indicating whether to include standard library imports in the suggestions or not.", "default": true}}}}], "ground_truth": [{"get_relevant_classes": {"search_string": ["CellResult"], "case_sensitive": ["", false], "include_subdirectories": [true]}}, {"get_signature": {"class_name": ["AbstractCellHandler"], "method_name": ["setCellValue"], "include_private": ["", false]}}, {"get_signature": {"class_name": ["AbstractCellHandler"], "method_name": ["getCellValue"], "include_private": ["", false]}}]}
{"id": "parallel_multiple_80", "official_category": "parallel_multiple", "task_type": "search/research", "user_prompt": "\"Can you help me with a math problem? I have two functions, the first one is '4x+7' and the second one is '2x+5'. I need to find the intersection points of these two functions. After that, I have another function '3x+9'. I need to find the zero points of this function. Can you solve these for me?\"", "function": [{"name": "functions.intersect", "description": "Locate the intersection points of two functions.", "parameters": {"type": "dict", "properties": {"function1": {"type": "string", "description": "First function given as a string with x as the variable, e.g. 3x+2"}, "function2": {"type": "string", "description": "Second function given as a string with x as the variable, e.g. 2x+3"}}, "required": ["function1", "function2"]}}, {"name": "functions.zero", "description": "Find the zero points of a function.", "parameters": {"type": "dict", "properties": {"function": {"type": "string", "description": "Function given as a string with x as the variable, e.g. 3x+2"}}, "required": ["function"]}}], "ground_truth": [{"functions.intersect": {"function1": ["4x + 7", "lambda x: 4x + 7"], "function2": ["2x + 5", "lambda x: 2x + 5"]}}, {"functions.zero": {"function": ["3x + 9", "lambda x: 3x + 9"]}}]}
{"id": "parallel_multiple_121", "official_category": "parallel_multiple", "task_type": "finance/trading", "user_prompt": "\"I'm planning a game night and I need some board game recommendations. I have a group of 5 friends coming over, so we'll be 6 players in total. We all enjoy strategy games but we're all beginners, so nothing too complex. Can you recommend some games from BoardGameGeek that fit this criteria? Also, I have another group of 4 friends who love party games. We're not beginners but we're not advanced players either, so something in the middle would be great. Can you recommend some games from BoardGameGeek for this group as well? Lastly, I'm also considering buying some games from Amazon Game Store. I have a budget of $20-$30. Can you recommend some strategy games for 6 players and party games for 4 players within this price range?\"", "function": [{"name": "AmazonGameStore.recommend", "description": "Generate game recommendation from Amazon Game Store based on number of players and category.", "parameters": {"type": "dict", "properties": {"numOfPlayers": {"type": "integer", "description": "The number of players who will play the game."}, "category": {"type": "string", "description": "The preferred category of board game. E.g. strategy, family, party etc."}, "priceRange": {"type": "string", "description": "The price range you are willing to pay for the board game. E.g. $10-$20, $20-$30 etc. This is an optional parameter. Default to '$10-$20' if not specified."}}, "required": ["numOfPlayers", "category"]}}, {"name": "BoardGameGeek.recommend", "description": "Generate game recommendation from BoardGameGeek store based on number of players and category.", "parameters": {"type": "dict", "properties": {"numPlayers": {"type": "integer", "description": "The number of players who will play the game."}, "category": {"type": "string", "description": "The preferred category of board game. E.g. strategy, family, party etc."}, "difficulty": {"type": "string", "description": "Preferred difficulty level. E.g. beginner, intermediate, advanced etc. This is an optional parameter. Default to 'beginner' if not specified."}}, "required": ["numPlayers", "category"]}}], "ground_truth": [{"BoardGameGeek.recommend": {"numPlayers": [6], "category": ["strategy"], "difficulty": ["beginner", ""]}}, {"BoardGameGeek.recommend": {"numPlayers": [4], "category": ["party"], "difficulty": ["intermediate"]}}, {"AmazonGameStore.recommend": {"numOfPlayers": [6], "category": ["strategy"], "priceRange": ["$20-$30", "20-30 dollars"]}}, {"AmazonGameStore.recommend": {"numOfPlayers": [4], "category": ["party"], "priceRange": ["$20-$30", "20-30 dollars"]}}]}
{"id": "parallel_multiple_138", "official_category": "parallel_multiple", "task_type": "math/data_processing", "user_prompt": "\"Could you help me with a few tasks? Firstly, I am working on a physics experiment and I need to calculate the magnetic field at the center of a circular loop. The loop carries a current of 5 Amperes and has a radius of 0.02 meters. Secondly, I am planning to attend a concert of my favorite artist, Taylor Swift, in New York. I need to book 3 tickets for the concert. Lastly, I am doing a research on Apple Inc. and I need to find the details of lawsuits involving Apple from the year 2010. Specifically, I am interested in lawsuits related to 'Patent' issues. Could you assist me with these?\"", "function": [{"name": "lawsuit_details.find", "description": "Find details of lawsuits involving a specific company from a given year.", "parameters": {"type": "dict", "properties": {"company_name": {"type": "string", "description": "Name of the company."}, "year": {"type": "integer", "description": "Year of the lawsuit."}, "case_type": {"type": "string", "description": "Type of the lawsuit, e.g., 'IPR', 'Patent', 'Commercial', etc. Default is all if not specified."}}, "required": ["company_name", "year"]}}, {"name": "calculate_magnetic_field", "description": "Calculate the magnetic field produced at the center of a circular loop carrying current.", "parameters": {"type": "dict", "properties": {"current": {"type": "integer", "description": "The current through the circular loop in Amperes."}, "radius": {"type": "float", "description": "The radius of the circular loop in meters."}, "permeability": {"type": "float", "description": "The magnetic permeability. Default is 12.57e10."}}, "required": ["current", "radius"]}}, {"name": "concert_booking.book_ticket", "description": "Book concert tickets for a specific artist in a specified city.", "parameters": {"type": "dict", "properties": {"artist": {"type": "string", "description": "The artist you want to book tickets for."}, "city": {"type": "string", "description": "The city where the concert is."}, "num_tickets": {"type": "integer", "description": "Number of tickets required. Default is 1."}}, "required": ["artist", "city"]}}], "ground_truth": [{"calculate_magnetic_field": {"current": [5], "radius": [0.02], "permeability": [""]}}, {"concert_booking.book_ticket": {"artist": ["Taylor Swift"], "city": ["New York", "NY"], "num_tickets": [3]}}, {"lawsuit_details.find": {"company_name": ["Apple Inc.", "Apple"], "year": [2010], "case_type": ["Patent"]}}]}
{"id": "parallel_174", "official_category": "parallel", "task_type": "math/data_processing", "user_prompt": "You are an investor who recently sold some stocks. You bought one stock at $150, another at $200, and another at $250. You sold them at $180, $210, and $300 respectively. You also received dividends of $20, $30, and $40 for each stock. Can you calculate the return on investment for each of these stocks using the 'calculate_return_on_investment' function?", "function": [{"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": [150], "sale_price": [180], "dividend": [20]}}, {"calculate_return_on_investment": {"purchase_price": [200], "sale_price": [210], "dividend": [30]}}, {"calculate_return_on_investment": {"purchase_price": [250], "sale_price": [300], "dividend": [40]}}]}
{"id": "parallel_multiple_87", "official_category": "parallel_multiple", "task_type": "device/control", "user_prompt": "\"A car is initially at rest and then starts moving with a constant acceleration of 3 m/s^2. After 5 seconds, what is its final velocity? Now, imagine a wave with a frequency of 50 Hz and a wavelength of 3 meters. What is the velocity of this wave? Going back to the car, if it continues to move with the same acceleration for another 7 seconds, what is the total distance it has traveled from the start?\"", "function": [{"name": "kinematics.distance", "description": "Find the distance traveled by an object moving under constant acceleration.", "parameters": {"type": "dict", "properties": {"initial_velocity": {"type": "float", "description": "The initial velocity of the object in m/s."}, "time": {"type": "float", "description": "The time in seconds the object has been moving."}, "acceleration": {"type": "float", "description": "The acceleration of the object in m/s^2. Default value is -9.81 (Earth's gravity)"}}, "required": ["initial_velocity", "time"]}}, {"name": "kinematics.final_velocity", "description": "Find the final velocity of an object moving under constant acceleration.", "parameters": {"type": "dict", "properties": {"initial_velocity": {"type": "float", "description": "The initial velocity of the object in m/s."}, "time": {"type": "float", "description": "The time in seconds the object has been moving."}, "acceleration": {"type": "float", "description": "The acceleration of the object in m/s^2. Default value is -9.81 (Earth's gravity)"}}, "required": ["initial_velocity", "time"]}}, {"name": "physics.wave_velocity", "description": "Calculate the velocity of a wave based on its frequency and wavelength.", "parameters": {"type": "dict", "properties": {"frequency": {"type": "float", "description": "The frequency of the wave in Hz."}, "wavelength": {"type": "float", "description": "The wavelength of the wave in m."}}, "required": ["frequency", "wavelength"]}}], "ground_truth": [{"kinematics.final_velocity": {"initial_velocity": [0.0], "time": [5.0], "acceleration": [3.0]}}, {"physics.wave_velocity": {"frequency": [50.0], "wavelength": [3.0]}}, {"kinematics.distance": {"initial_velocity": [0.0, ""], "time": [12.0], "acceleration": [3.0]}}]}
{"id": "parallel_119", "official_category": "parallel", "task_type": "parallel_tool_use/general", "user_prompt": "\"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?\"", "function": [{"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"]}}]}
{"id": "parallel_178", "official_category": "parallel", "task_type": "finance/trading", "user_prompt": "What were the closing stock prices for Microsoft and Apple on NASDAQ on the dates 2022-01-01 and 2022-02-01?", "function": [{"name": "get_stock_price", "description": "Get the closing stock price for a specific company on a specified date.", "parameters": {"type": "dict", "properties": {"company_name": {"type": "string", "description": "Name of the company."}, "date": {"type": "string", "description": "Date of when to get the stock price. Format: yyyy-mm-dd."}, "exchange": {"type": "string", "description": "Name of the stock exchange market where the company's stock is listed. Default is 'NASDAQ'"}}, "required": ["company_name", "date"]}}], "ground_truth": [{"get_stock_price": {"company_name": ["Microsoft", "Apple"], "date": ["2022-01-01", "01/01/2022", "Jan.1,2022"], "exchange": ["NASDAQ", ""]}}, {"get_stock_price": {"company_name": ["Microsoft"], "date": ["2022-02-01", "02/01/2022", "Feb.1,2022"], "exchange": ["NASDAQ", ""]}}, {"get_stock_price": {"company_name": ["Apple"], "date": ["2022-01-01", "01/01/2022", "Jan.1,2022"], "exchange": ["NASDAQ", ""]}}, {"get_stock_price": {"company_name": ["Apple"], "date": ["2022-02-01", "02/01/2022", "Feb.1,2022"], "exchange": ["NASDAQ", ""]}}]}
{"id": "parallel_multiple_61", "official_category": "parallel_multiple", "task_type": "math/data_processing", "user_prompt": "\"Could you please help me with a couple of calculations? I have two points in a 2D space, Point A with coordinates [3, 2] and Point B with coordinates [7, 5]. First, I would like to know the Euclidean distance between these two points, rounded to 2 decimal places. Then, I would like to find out the angle between these two points with respect to the x-axis, also rounded to 2 decimal places. After that, I have another set of points, Point C with coordinates [10, 8] and Point D with coordinates [14, 12]. Could you please calculate the Euclidean distance and the angle to the x-axis for these points as well, both rounded to 2 decimal places?\"", "function": [{"name": "angleToXAxis.calculate", "description": "Calculate the angle between two points with respect to x-axis.", "parameters": {"type": "dict", "properties": {"pointA": {"type": "array", "items": {"type": "integer"}, "description": "Coordinates for Point A."}, "pointB": {"type": "array", "items": {"type": "integer"}, "description": "Coordinates for Point B."}, "rounding": {"type": "integer", "description": "Optional: The number of decimals to round off the result.", "default": 2}}, "required": ["pointA", "pointB"]}}, {"name": "EuclideanDistance.calculate", "description": "Calculate the Euclidean distance between two points.", "parameters": {"type": "dict", "properties": {"pointA": {"type": "array", "items": {"type": "integer"}, "description": "Coordinates for Point A."}, "pointB": {"type": "array", "items": {"type": "integer"}, "description": "Coordinates for Point B."}, "rounding": {"type": "integer", "description": "Optional: The number of decimals to round off the result.", "default": 2}}, "required": ["pointA", "pointB"]}}], "ground_truth": [{"EuclideanDistance.calculate": {"pointA": [[3, 2]], "pointB": [[7, 5]], "rounding": [2, ""]}}, {"angleToXAxis.calculate": {"pointA": [[3, 2]], "pointB": [[7, 5]], "rounding": [2, ""]}}, {"EuclideanDistance.calculate": {"pointA": [[10, 8]], "pointB": [[14, 12]], "rounding": [2, ""]}}, {"angleToXAxis.calculate": {"pointA": [[10, 8]], "pointB": [[14, 12]], "rounding": [2, ""]}}]}
{"id": "parallel_156", "official_category": "parallel", "task_type": "math/data_processing", "user_prompt": "You are given a dataset \"data_random_forest\" in the form of a dataframe and you want to train a Random Forest Model on this data. You decide to experiment with different numbers of trees in the forest and different maximum depths of the trees to see how these parameters affect the model's performance. \n\nFirst, you train a model with 100 trees and a maximum depth of 10. Then, you train another model with 200 trees and a maximum depth of 20. After that, you train a third model with 300 trees and a maximum depth of 30. Finally, you train a fourth model with 400 trees and a maximum depth of 40. \n\nCan you invoke the 'random_forest.train' function four times with these different parameters and compare the performance of the four models?", "function": [{"name": "random_forest.train", "description": "Train a Random Forest Model on given data", "parameters": {"type": "dict", "properties": {"n_estimators": {"type": "integer", "description": "The number of trees in the forest."}, "max_depth": {"type": "integer", "description": "The maximum depth of the tree."}, "data": {"type": "string", "description": "The training data for the model."}}, "required": ["n_estimators", "max_depth", "data"]}}], "ground_truth": [{"random_forest.train": {"n_estimators": [100], "max_depth": [10], "data": ["data_random_forest"]}}, {"random_forest.train": {"n_estimators": [200], "max_depth": [20], "data": ["data_random_forest"]}}, {"random_forest.train": {"n_estimators": [300], "max_depth": [30], "data": ["data_random_forest"]}}, {"random_forest.train": {"n_estimators": [400], "max_depth": [40], "data": ["data_random_forest"]}}]}
{"id": "live_parallel_multiple_10-9-0", "official_category": "live_parallel_multiple", "task_type": "media/content", "user_prompt": "Could you please find out when Shishir's birthday is from our previous conversations and then congratulate him by sending a 'Happy Birthday!' message regardless?", "function": [{"name": "send_message", "description": "Sends a message to a human user, supporting a full range of Unicode characters, including emojis.", "parameters": {"type": "dict", "properties": {"message": {"type": "string", "description": "The content of the message to be sent. Supports Unicode characters such as text and emojis."}, "recipient": {"type": "string", "description": "The identifier of the recipient. This could be a username, phone number, or an email address, depending on the implementation.", "default": "default@example.com"}, "urgent": {"type": "boolean", "description": "Flag to indicate if the message should be sent with high priority.", "default": false}}, "required": ["message"]}}, {"name": "pause_heartbeats", "description": "Temporarily ignore timed heartbeats for a specified duration. During this period, manual heartbeats and other events may still generate messages.", "parameters": {"type": "dict", "required": ["minutes"], "properties": {"minutes": {"type": "integer", "description": "The duration in minutes for which heartbeats should be ignored. Must be between 1 and 3600 minutes (up to 60 hours)."}}}}, {"name": "message_chatgpt", "description": "Sends a message to ChatGPT, a basic AI model, for asking questions and getting responses. The interactions are stateless, meaning ChatGPT does not remember previous messages.", "parameters": {"type": "dict", "required": ["message"], "properties": {"message": {"type": "string", "description": "The message to send to ChatGPT, formatted as a complete English sentence."}, "request_heartbeat": {"type": "boolean", "description": "Determines whether to request an immediate heartbeat post-execution, useful for managing follow-up actions.", "default": false}}}}, {"name": "core_memory_append", "description": "Appends the given content to a specific section of the core memory. This operation supports all unicode characters, including emojis, and allows for an immediate heartbeat request post-execution for follow-up actions.", "parameters": {"type": "dict", "required": ["name", "content"], "properties": {"name": {"type": "string", "description": "The name of the memory section to be edited, such as 'persona' or 'human'.", "enum": ["persona", "human"]}, "content": {"type": "string", "description": "The content to be appended to the memory. Supports all unicode characters, including emojis."}, "request_heartbeat": {"type": "boolean", "description": "If set to 'true', requests an immediate heartbeat after function execution. Useful for sending a follow-up message or triggering another function.", "default": false}}}}, {"name": "core_memory_replace", "description": "Replace the contents of core memory. To delete memories, provide an empty string for the 'new_content' parameter.", "parameters": {"type": "dict", "required": ["name", "old_content", "new_content", "request_heartbeat"], "properties": {"name": {"type": "string", "description": "The section of the memory to be edited. Possible values are 'persona' for personality traits and 'human' for human-related memories."}, "old_content": {"type": "string", "description": "The string to be replaced. Must be an exact match of the existing content."}, "new_content": {"type": "string", "description": "The new content to write into the memory. Supports all Unicode characters, including emojis."}, "request_heartbeat": {"type": "boolean", "description": "Whether to request an immediate heartbeat after function execution. Set to true to ensure the system is immediately updated with the changes."}}}}, {"name": "recall_memory_search", "description": "Searches the prior conversation history for occurrences of a specified string and returns paginated results.", "parameters": {"type": "dict", "required": ["query"], "properties": {"query": {"type": "string", "description": "The search string to locate within the conversation history."}, "page": {"type": "integer", "description": "Specifies the page number of results to retrieve, where 0 represents the first page.", "default": 0}, "request_heartbeat": {"type": "boolean", "description": "When set to true, triggers an immediate heartbeat post function execution to facilitate follow-up actions.", "default": false}}}}, {"name": "archival_memory_insert", "description": "Adds an entry to the archival memory system, ensuring that the content is formatted for easy future retrieval.", "parameters": {"type": "dict", "required": ["content", "request_heartbeat"], "properties": {"content": {"type": "string", "description": "Content to be archived. Supports all Unicode characters, including emojis."}, "request_heartbeat": {"type": "boolean", "description": "If set to true, triggers an immediate heartbeat to confirm memory insertion and allows for follow-up actions."}}}}, {"name": "archival_memory_search", "description": "Performs a semantic search within archival memory data using an embedding-based approach to retrieve relevant results.", "parameters": {"type": "dict", "required": ["query", "request_heartbeat"], "properties": {"query": {"type": "string", "description": "The search term used to query the archival memory. This should be a clear and concise representation of the search intent."}, "page": {"type": "integer", "description": "Specifies the page number of search results to retrieve, allowing for pagination through sets of results. The first page is 0.", "default": 0}, "request_heartbeat": {"type": "boolean", "description": "Determines whether to request an immediate heartbeat post function execution, which is useful for initiating follow-up actions. Set to 'true' to enable this feature."}}}}, {"name": "http_request", "description": "Generates an HTTP request using the specified method, URL, and payload, then returns the server's response.", "parameters": {"type": "dict", "required": ["method", "url", "request_heartbeat"], "properties": {"method": {"type": "string", "description": "The HTTP method to be used for the request, such as 'GET', 'POST', 'PUT', 'DELETE', etc.", "enum": ["GET", "POST", "PUT", "DELETE", "PATCH", "OPTIONS", "HEAD"]}, "url": {"type": "string", "description": "The fully qualified URL to which the request will be sent."}, "payload_json": {"type": "string", "description": "A JSON-formatted string that contains the payload data to be sent with the request. Must be a valid JSON string.", "default": "{}"}, "request_heartbeat": {"type": "boolean", "description": "When set to true, the function will request an immediate heartbeat after execution, which is useful for sending a follow-up message or initiating another function."}}}}], "ground_truth": [{"recall_memory_search": {"query": ["Shishir Birthday", "Birthday Shishir", "Shishir's Birthday", "when is shishir's birthday", "when shishir birthday is", "birthday"], "page": ["", 0], "request_heartbeat": ["", false]}}, {"send_message": {"message": ["Happy Birthday!"], "recipient": ["Shishir"], "urgent": ["", false]}}]}
{"id": "parallel_115", "official_category": "parallel", "task_type": "math/data_processing", "user_prompt": "\"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.\"", "function": [{"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"]}}]}
{"id": "parallel_108", "official_category": "parallel", "task_type": "parallel_tool_use/general", "user_prompt": "Can you provide a detailed description of the structure and functioning of a neuron cell and then compare it with a less detailed description of a muscle cell in the human body?", "function": [{"name": "biology.get_cell_info", "description": "Retrieve information about the structure and functioning of a specified type of cell", "parameters": {"type": "dict", "properties": {"cell_type": {"type": "string", "description": "Type of cell you want information about"}, "detailed": {"type": "boolean", "description": "Indicate if you want a detailed description of the cell", "default": "false"}}, "required": ["cell_type"]}}], "ground_truth": [{"biology.get_cell_info": {"cell_type": ["neuron"], "detailed": [true]}}, {"biology.get_cell_info": {"cell_type": ["muscle"], "detailed": [false, ""]}}]}
{"id": "parallel_multiple_169", "official_category": "parallel_multiple", "task_type": "parallel_tool_use/general", "user_prompt": "\"Could you please tell me the latest game score, individual player stats, and team stats for the basketball team 'Los Angeles Lakers' in the 'NBA' league? Also, I would like to know the same information but this time for the football team 'Manchester United' in the 'Premier League'. Additionally, could you provide me with a 5-day humidity forecast for New York, ensuring that the minimum humidity level is 60%? Lastly, I would also like to know the humidity forecast for the next 7 days in London, but without any minimum humidity level filter.\"", "function": [{"name": "weather.humidity_forecast", "description": "Retrieve a humidity forecast for a specific location and time frame.", "parameters": {"type": "dict", "properties": {"location": {"type": "string", "description": "The city that you want to get the humidity for."}, "days": {"type": "integer", "description": "Number of days for the forecast."}, "min_humidity": {"type": "integer", "description": "Minimum level of humidity (in percentage) to filter the result. Default is 0."}}, "required": ["location", "days"]}}, {"name": "get_team_score", "description": "Retrieves the latest game score, individual player stats, and team stats for a specified sports team.", "parameters": {"type": "dict", "properties": {"team_name": {"type": "string", "description": "The name of the sports team."}, "league": {"type": "string", "description": "The league that the team is part of."}, "include_player_stats": {"type": "boolean", "default": false, "description": "Indicates if individual player statistics should be included in the result. Default is false."}}, "required": ["team_name", "league"]}}], "ground_truth": [{"get_team_score": {"team_name": ["Los Angeles Lakers", "L.A. Lakers"], "league": ["NBA"], "include_player_stats": [true]}}, {"get_team_score": {"team_name": ["Manchester United", "Man United", "Man Utd"], "league": ["Premier League", "EPL", "English Premier League"], "include_player_stats": [true]}}, {"weather.humidity_forecast": {"location": ["New York", "New York, NY", "NYC"], "days": [5], "min_humidity": [60]}}, {"weather.humidity_forecast": {"location": ["London"], "days": [7], "min_humidity": [""]}}]}
{"id": "parallel_51", "official_category": "parallel", "task_type": "search/research", "user_prompt": "Search for a Chicken Noodle Soup recipe and a Vegan Salad recipe.", "function": [{"name": "recipe_search.find", "description": "Locate recipes based on the type of dish.", "parameters": {"type": "dict", "properties": {"dish": {"type": "string", "description": "The name of the dish to search for."}, "diet": {"type": "string", "enum": ["Vegan", "Vegetarian", "Paleo", "Keto"], "description": "Dietary preference.", "default": "Keto"}}, "required": ["dish"]}}], "ground_truth": [{"recipe_search.find": {"dish": ["Chicken Noodle Soup"], "diet": ["", "Keto"]}}, {"recipe_search.find": {"dish": ["Salad", "salad", "Vegan Salad", "vegan salad"], "diet": ["Vegan"]}}]}
{"id": "parallel_37", "official_category": "parallel", "task_type": "parallel_tool_use/general", "user_prompt": "What are the RGB and HEX color values for navy, purple and maroon?", "function": [{"name": "color_converter.get_color_info", "description": "Retrieve RGB values and hexadecimal codes of a specific color.", "parameters": {"type": "dict", "properties": {"color_name": {"type": "string", "description": "The name of the color."}, "conversion_type": {"type": "array", "items": {"type": "string", "enum": ["RGB", "HEX"]}, "description": "The conversion type for the color."}}, "required": ["color_name", "conversion_type"]}}], "ground_truth": [{"color_converter.get_color_info": {"color_name": ["navy"], "conversion_type": [["RGB", "HEX"], ["HEX", "RGB"]]}}, {"color_converter.get_color_info": {"color_name": ["purple"], "conversion_type": [["RGB", "HEX"], ["HEX", "RGB"]]}}, {"color_converter.get_color_info": {"color_name": ["maroon"], "conversion_type": [["RGB", "HEX"], ["HEX", "RGB"]]}}]}
{"id": "live_parallel_multiple_8-7-0", "official_category": "live_parallel_multiple", "task_type": "parallel_tool_use/general", "user_prompt": "Do all the following using the steps provided in their respective sections.\n        Steps:\n        1. clone the repo git@github.com:zelarhq/nodejs-welcome.git\n        2. analyse the contents of the repo and create following.\n            2.1 create/update dockerfile based on the analysis. \n            2.2 kubernetes yamls based on the analysis.\n             3. add all changed file to git changes \n        4. commit / push to repo", "function": [{"name": "clone_repo", "description": "Clones a Git repository from a given URL to a local directory.", "parameters": {"type": "dict", "required": ["repo_url"], "properties": {"repo_url": {"type": "string", "description": "The URL of the Git repository to be cloned. For example, 'https://github.com/user/repo.git'."}, "destination": {"type": "string", "description": "The local file system path where the repository should be cloned to. If omitted, the repository is cloned into the current working directory.", "default": "."}, "recursive": {"type": "boolean", "description": "A flag indicating whether to recursively clone submodules. Defaults to false.", "default": false}, "depth": {"type": "integer", "description": "The number of commits to fetch to create a shallow clone. A value of 1 fetches only the latest commit. If omitted, the full history is fetched.", "default": null}}}}, {"name": "create_a_docker_file", "description": "Generates a Dockerfile within the specified repository directory to enable containerization of the application.", "parameters": {"type": "dict", "required": ["directory_name"], "properties": {"directory_name": {"type": "string", "description": "The name of the repository directory where the Dockerfile will be created. The directory name should be a valid path relative to the root of the repository."}}}}, {"name": "create_kubernetes_yaml_file", "description": "Generates a Kubernetes deployment and service YAML file based on the provided directory name.", "parameters": {"type": "dict", "required": ["directory_name"], "properties": {"directory_name": {"type": "string", "description": "The name of the directory where the repo is located. This will be used to name the Kubernetes deployment and service."}, "deployment_name": {"type": "string", "description": "The name to assign to the Kubernetes deployment. use Defaults if not provided.", "default": null}, "image_name": {"type": "string", "description": "The name of the Docker image to be used in the deployment. use latest if not provided", "default": "latest"}, "replicas": {"type": "integer", "description": "The number of pod replicas to be deployed.", "default": 1}, "port": {"type": "integer", "description": "The container port that the service will expose.", "default": 80}, "service_type": {"type": "string", "description": "The type of the Kubernetes service to create.", "enum": ["ClusterIP", "NodePort", "LoadBalancer"], "default": "ClusterIP"}}}}, {"name": "analyse_repo_contents", "description": "Analyzes the contents of a specified repository directory and determines the predominant programming language used within it.", "parameters": {"type": "dict", "required": ["directory_name"], "properties": {"directory_name": {"type": "string", "description": "The name of the directory where the repository is located. This should be a path relative to the root of the repository."}}}}, {"name": "push_git_changes_to_github", "description": "Pushes all changes from a local Git repository to the associated GitHub remote repository. This function will automatically git add all changes.", "parameters": {"type": "dict", "required": ["directory_name"], "properties": {"directory_name": {"type": "string", "description": "The name of the local repository directory."}, "commit_message": {"type": "string", "description": "The commit message to describe the changes made.", "default": "Update changes"}, "branch_name": {"type": "string", "description": "The name of the branch to which the changes will be pushed.", "default": "main"}, "force_push": {"type": "boolean", "description": "Indicates whether to forcefully push the changes, potentially overwriting changes on the remote.", "default": false}}}}], "ground_truth": [{"clone_repo": {"repo_url": ["git@github.com:zelarhq/nodejs-welcome.git", "https://github.com/zelarhq/nodejs-welcome.git"], "destination": ["", "."], "recursive": ["", false], "depth": ["", null]}}, {"analyse_repo_contents": {"directory_name": ["nodejs-welcome"]}}, {"create_a_docker_file": {"directory_name": ["nodejs-welcome"]}}, {"create_kubernetes_yaml_file": {"directory_name": ["nodejs-welcome"], "deployment_name": ["", null], "image_name": ["", "latest"], "replicas": ["", 1], "port": ["", 80], "service_type": ["", "ClusterIP"]}}, {"push_git_changes_to_github": {"directory_name": ["nodejs-welcome"], "commit_message": ["", "Update changes"], "branch_name": ["", "main"], "force_push": ["", false]}}]}
{"id": "parallel_multiple_32", "official_category": "parallel_multiple", "task_type": "parallel_tool_use/general", "user_prompt": "Get temperature and humidity forecast for Boston, USA and precipitation forecast for Rome, Italy for next 10 days.", "function": [{"name": "weather_forecast_precipitation", "description": "Retrieve a precipitation forecast for a specific location for a certain number of days.", "parameters": {"type": "dict", "properties": {"location": {"type": "string", "description": "The city that you want to get the precipitation forecast for."}, "days": {"type": "integer", "description": "Number of days for the forecast."}}, "required": ["location", "days"]}}, {"name": "weather_forecast_humidity", "description": "Retrieve a humidity forecast for a specific location for a certain number of days.", "parameters": {"type": "dict", "properties": {"location": {"type": "string", "description": "The city that you want to get the humidity forecast for."}, "days": {"type": "integer", "description": "Number of days for the forecast."}}, "required": ["location", "days"]}}, {"name": "weather_forecast_temperature", "description": "Retrieve a temperature forecast for a specific location for a certain number of days.", "parameters": {"type": "dict", "properties": {"location": {"type": "string", "description": "The city that you want to get the temperature forecast for."}, "days": {"type": "integer", "description": "Number of days for the forecast."}}, "required": ["location", "days"]}}], "ground_truth": [{"weather_forecast_temperature": {"location": ["Boston, USA"], "days": [10]}}, {"weather_forecast_humidity": {"location": ["Boston, USA"], "days": [10]}}, {"weather_forecast_precipitation": {"location": ["Rome, Italy"], "days": [10]}}]}
{"id": "parallel_multiple_25", "official_category": "parallel_multiple", "task_type": "math/data_processing", "user_prompt": "How much would it cost me to invest in 50 shares of Apple's stock right now? Also calculate the total dividend payout if each share returns $1.30 as dividend.", "function": [{"name": "stock_invest.calculate_investment_cost", "description": "Calculate the cost of investing in a specific number of shares from a given company.", "parameters": {"type": "dict", "properties": {"company": {"type": "string", "description": "The company that you want to invest in."}, "shares": {"type": "integer", "description": "Number of shares to invest."}}, "required": ["company", "shares"]}}, {"name": "stock_invest.calculate_dividend_payout", "description": "Calculate the total dividend payout for a specific number of shares with known dividend per share.", "parameters": {"type": "dict", "properties": {"shares": {"type": "integer", "description": "Number of shares to calculate dividends."}, "dividend_per_share": {"type": "float", "description": "Known dividend per share."}}, "required": ["shares", "dividend_per_share"]}}], "ground_truth": [{"stock_invest.calculate_investment_cost": {"company": ["Apple", "AAPL"], "shares": [50]}}, {"stock_invest.calculate_dividend_payout": {"shares": [50], "dividend_per_share": [1.3]}}]}
{"id": "parallel_128", "official_category": "parallel", "task_type": "math/data_processing", "user_prompt": "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?", "function": [{"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"]}}]}
{"id": "parallel_multiple_132", "official_category": "parallel_multiple", "task_type": "math/data_processing", "user_prompt": "\"Could you first calculate the derivative of the function '3x^2 + 2x - 1' at the value of 2 where 'x' is the function variable, then calculate the derivative of the function '5y^3 - 4y + 2' at the value of 3 where 'y' is the function variable, and finally retrieve the strengths and weaknesses of the personality type 'INTJ'?\"", "function": [{"name": "calculus.derivative", "description": "Compute the derivative of a function at a specific value.", "parameters": {"type": "dict", "properties": {"function": {"type": "string", "description": "The function to calculate the derivative of."}, "value": {"type": "integer", "description": "The value where the derivative needs to be calculated at."}, "function_variable": {"type": "string", "description": "The variable present in the function, for instance x or y, etc. Default is 'x'."}}, "required": ["function", "value"]}}, {"name": "get_personality_traits", "description": "Retrieve the personality traits for a specific personality type, including their strengths and weaknesses.", "parameters": {"type": "dict", "properties": {"type": {"type": "string", "description": "The personality type."}, "traits": {"type": "array", "items": {"type": "string", "enum": ["strengths", "weaknesses"]}, "description": "List of traits to be retrieved, default is ['strengths', 'weaknesses']."}}, "required": ["type"]}}], "ground_truth": [{"calculus.derivative": {"function": ["3x**2 + 2x - 1", "lambda x: 3x**2 + 2x - 1"], "value": [2], "function_variable": ["x", ""]}}, {"calculus.derivative": {"function": ["5y**3 - 4y + 2", "lambda y: 5y**3 - 4y + 2"], "value": [3], "function_variable": ["y"]}}, {"get_personality_traits": {"type": ["INTJ"], "traits": [["strengths", "weaknesses"], ["weaknesses", "strengths"], ""]}}]}
{"id": "parallel_15", "official_category": "parallel", "task_type": "parallel_tool_use/general", "user_prompt": "What will be the capital gains tax for a short term capital gains of $15000, long term gains of $25000 in the state of California and $20000 short term, $50000 long term in Florida?", "function": [{"name": "calculate_capital_gains_tax", "description": "Calculate the capital gains tax for a given gains type and amount", "parameters": {"type": "dict", "properties": {"short_term_gain": {"type": "integer", "description": "The short term capital gain amount."}, "long_term_gain": {"type": "integer", "description": "The long term capital gain amount."}, "state": {"type": "string", "description": "The state where the income is generated.", "default": "federal"}}, "required": ["short_term_gain", "long_term_gain"]}}], "ground_truth": [{"calculate_capital_gains_tax": {"short_term_gain": [15000], "long_term_gain": [25000], "state": ["CA", "California"]}}, {"calculate_capital_gains_tax": {"short_term_gain": [20000], "long_term_gain": [50000], "state": ["FL", "Florida"]}}]}
{"id": "parallel_multiple_19", "official_category": "parallel_multiple", "task_type": "math/data_processing", "user_prompt": "Perform Gaussian integral of the function exp(-x^2) from -2 to 2. Also calculate the definite integral from 0 to 3.1416 of sin(x).", "function": [{"name": "math.gaussian_integral", "description": "Perform Gaussian integration over the range of the function.", "parameters": {"type": "dict", "properties": {"function": {"type": "string", "description": "The function to integrate, given in terms of x."}, "lower_limit": {"type": "float", "description": "The lower limit of the integral."}, "upper_limit": {"type": "float", "description": "The upper limit of the integral."}}, "required": ["function", "lower_limit", "upper_limit"]}}, {"name": "math.definite_integral", "description": "Calculate the definite integral of a function within specified bounds.", "parameters": {"type": "dict", "properties": {"function": {"type": "string", "description": "The function to integrate, given in terms of x."}, "lower_limit": {"type": "float", "description": "The lower limit of the integral."}, "upper_limit": {"type": "float", "description": "The upper limit of the integral."}}, "required": ["function", "lower_limit", "upper_limit"]}}], "ground_truth": [{"math.gaussian_integral": {"function": ["exp(-x**2)", "lambda x: exp(-x**2)"], "lower_limit": [-2.0], "upper_limit": [2.0]}}, {"math.definite_integral": {"function": ["sin(x)", "lambda x: sin(x)"], "lower_limit": [0.0], "upper_limit": [3.1416]}}]}
{"id": "parallel_129", "official_category": "parallel", "task_type": "parallel_tool_use/general", "user_prompt": "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?", "function": [{"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]}}]}
{"id": "parallel_96", "official_category": "parallel", "task_type": "math/data_processing", "user_prompt": "\"In a physics experiment, you are given two charges. The first charge has a magnitude of 5 coulombs and the second charge has a magnitude of 10 coulombs. These charges are placed at a distance of 2 meters from each other. You are asked to calculate the electromagnetic force between these charges. You perform the experiment twice. The first time, the charges are placed in a vacuum, which has a permittivity of 8.854 x 10^-12 F/m. The second time, the charges are placed in a medium with a relative permittivity of 5 x 10^-12 F/m. Can you calculate the electromagnetic force between the charges in both scenarios?\"", "function": [{"name": "electromagnetic_force", "description": "Calculate the electromagnetic force between two charges placed at a certain distance.", "parameters": {"type": "dict", "properties": {"charge1": {"type": "integer", "description": "The magnitude of the first charge in coulombs."}, "charge2": {"type": "integer", "description": "The magnitude of the second charge in coulombs."}, "distance": {"type": "integer", "description": "The distance between the two charges in meters."}, "medium_permittivity": {"type": "float", "description": "The relative permittivity of the medium in which the charges are present. Default is 8.854 x 10^-12 F/m (vacuum permittivity)."}}, "required": ["charge1", "charge2", "distance"]}}], "ground_truth": [{"electromagnetic_force": {"charge1": [5], "charge2": [10], "distance": [2], "medium_permittivity": [8.854e-12, ""]}}, {"electromagnetic_force": {"charge1": [5], "charge2": [10], "distance": [2], "medium_permittivity": [5e-12, ""]}}]}
{"id": "parallel_multiple_166", "official_category": "parallel_multiple", "task_type": "finance/trading", "user_prompt": "\"Could you please help me with the following tasks? First, I would like to know the elevation and area of the Yellowstone National Park. Second, I am considering investing $5000 in a stock that has an expected annual growth rate of 7%. I plan to hold the stock for 10 years and I would like to know the projected return of this investment, taking into account potential dividends. Third, I need to fetch detailed information about a legal case with the ID 'LC12345'. Lastly, I would also like to know the location and the year when the Yosemite National Park was established.\"", "function": [{"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"]}}, {"name": "park_information", "description": "Retrieve the basic information such as elevation and area of a national park.", "parameters": {"type": "dict", "properties": {"park_name": {"type": "string", "description": "The name of the national park."}, "information": {"type": "array", "items": {"type": "string", "enum": ["Elevation", "Area", "Location", "Established Year"]}, "description": "The type of information you want about the park."}}, "required": ["park_name", "information"]}}, {"name": "legal_case.fetch", "description": "Fetch detailed legal case information from database.", "parameters": {"type": "dict", "properties": {"case_id": {"type": "string", "description": "The ID of the legal case."}, "details": {"type": "boolean", "description": "True if need the detail info. Default is false."}}, "required": ["case_id", "details"]}}], "ground_truth": [{"park_information": {"park_name": ["Yellowstone National Park"], "information": [["Elevation", "Area"]]}}, {"calculate_stock_return": {"investment_amount": [5000], "annual_growth_rate": [0.07], "holding_period": [10], "dividends": [true]}}, {"legal_case.fetch": {"case_id": ["LC12345"], "details": [true]}}, {"park_information": {"park_name": ["Yosemite National Park"], "information": [["Location", "Established Year"]]}}]}
{"id": "parallel_multiple_159", "official_category": "parallel_multiple", "task_type": "media/content", "user_prompt": "\"Could you help me with a few things? First, I'd like to calculate the return on equity for a company that had a net income of $2 million, total shareholder's equity of $10 million, and paid dividends amounting to $500,000. Then, I'm trying to find the lyrics to the song 'Bohemian Rhapsody' by the artist 'Queen', and I need them in English. After that, I'm interested in finding a historical law case related to 'fraud' that took place between the years 1990 and 2000. Lastly, I'm looking for a public library in 'Boston, MA' that has both a 'Reading Room' and 'Wi-Fi' facilities. Can you assist with these?\"", "function": [{"name": "get_song_lyrics", "description": "Retrieve the lyrics of a song based on the artist's name and song title.", "parameters": {"type": "dict", "properties": {"song_title": {"type": "string", "description": "The title of the song."}, "artist_name": {"type": "string", "description": "The name of the artist who performed the song."}, "lang": {"type": "string", "description": "The language of the lyrics. Default is English.", "enum": ["English", "French", "Spanish", "German", "Italian"]}}, "required": ["song_title", "artist_name"]}}, {"name": "law_case_search.find_historical", "description": "Search for a historical law case based on specific criteria like the subject and year.", "parameters": {"type": "dict", "properties": {"subject": {"type": "string", "description": "The subject matter of the case, e.g., 'fraud'"}, "from_year": {"type": "integer", "description": "The start year for the range of the case. The case should happen after this year."}, "to_year": {"type": "integer", "description": "The end year for the range of the case. The case should happen before this year."}}, "required": ["subject", "from_year", "to_year"]}}, {"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"]}}, {"name": "public_library.find_nearby", "description": "Locate nearby public libraries based on specific criteria like English fiction availability and Wi-Fi.", "parameters": {"type": "dict", "properties": {"location": {"type": "string", "description": "The city and state, e.g. Boston, MA"}, "facilities": {"type": "array", "items": {"type": "string", "enum": ["Wi-Fi", "Reading Room", "Fiction", "Children Section", "Cafe"]}, "description": "Facilities and sections in public library."}}, "required": ["location", "facilities"]}}], "ground_truth": [{"calculate_return_on_equity": {"net_income": [2000000], "shareholder_equity": [10000000], "dividends_paid": [500000]}}, {"get_song_lyrics": {"song_title": ["Bohemian Rhapsody"], "artist_name": ["Queen"], "lang": ["English", ""]}}, {"law_case_search.find_historical": {"subject": ["fraud"], "from_year": [1990], "to_year": [2000]}}, {"public_library.find_nearby": {"location": ["Boston, MA", "Boston,MA", "Boston"], "facilities": [["Reading Room", "Wi-Fi"], ["Wi-Fi", "Reading Room"]]}}]}
{"id": "parallel_multiple_66", "official_category": "parallel_multiple", "task_type": "math/data_processing", "user_prompt": "\"John is a student who recently received his grades for the semester. His grades were as follows: Math - 85, English - 90, Science - 88, History - 92, and Art - 89. Could you please help John to understand his performance better by doing the following: \n\n1) Calculate the average grade across all his subjects using the 'calculate_average' function with the grade dictionary {'Math': 85, 'English': 90, 'Science': 88, 'History': 92, 'Art': 89}.\n\n2) Calculate the standard deviation of his grades using the 'calculate_standard_deviation' function with the same grade dictionary {'Math': 85, 'English': 90, 'Science': 88, 'History': 92, 'Art': 89} to understand the variability of his scores.\n\n3) Identify the subject in which John scored the highest using the 'highest_grade' function with the grade dictionary {'Math': 85, 'English': 90, 'Science': 88, 'History': 92, 'Art': 89}.\"", "function": [{"name": "highest_grade", "description": "This function finds the subject where the student got the highest score.", "parameters": {"type": "dict", "properties": {"gradeDict": {"type": "dict", "description": "A dictionary where keys represent subjects and values represent scores"}}, "required": ["gradeDict"]}}, {"name": "calculate_average", "description": "This function calculates the average grade across different subjects for a specific student.", "parameters": {"type": "dict", "properties": {"gradeDict": {"type": "dict", "description": "A dictionary where keys represent subjects and values represent scores"}}, "required": ["gradeDict"]}}, {"name": "calculate_standard_deviation", "description": "This function calculates the standard deviation across different scores for a specific student.", "parameters": {"type": "dict", "properties": {"gradeDict": {"type": "dict", "description": "A dictionary where keys represent subjects and values represent scores"}}, "required": ["gradeDict"]}}], "ground_truth": [{"calculate_average": {"gradeDict": [{"Math": [85], "English": [90], "Science": [88], "History": [92], "Art": [89]}]}}, {"calculate_standard_deviation": {"gradeDict": [{"Math": [85], "English": [90], "Science": [88], "History": [92], "Art": [89]}]}}, {"highest_grade": {"gradeDict": [{"Math": [85], "English": [90], "Science": [88], "History": [92], "Art": [89]}]}}]}
{"id": "parallel_10", "official_category": "parallel", "task_type": "parallel_tool_use/general", "user_prompt": "Compute the Pythagorean Theorem of two side lengths: 3 and 4, 5 and 12.", "function": [{"name": "math.pythagoras", "description": "Calculates the hypotenuse of a right triangle based on the lengths of the other two sides.", "parameters": {"type": "dict", "properties": {"a": {"type": "integer", "description": "Length of one of the sides of a right triangle."}, "b": {"type": "integer", "description": "Length of the other side of a right triangle."}}, "required": ["a", "b"]}}], "ground_truth": [{"math.pythagoras": {"a": [3], "b": [4]}}, {"math.pythagoras": {"a": [5], "b": [12]}}]}
{"id": "parallel_66", "official_category": "parallel", "task_type": "parallel_tool_use/general", "user_prompt": "What is the total area of three circles, where the first circle has a radius of 5 meters, the second circle has a radius of 10 meters, and the third circle has a radius of 15 meters, all measured in meters?", "function": [{"name": "geometry.area_circle", "description": "Calculate the area of a circle given the radius.", "parameters": {"type": "dict", "properties": {"radius": {"type": "integer", "description": "The radius of the circle."}, "units": {"type": "string", "description": "The units in which the radius is measured (defaults to meters).", "default": "meters"}}, "required": ["radius"]}}], "ground_truth": [{"geometry.area_circle": {"radius": [5], "units": ["meters", "m", ""]}}, {"geometry.area_circle": {"radius": [10], "units": ["meters", "m", ""]}}, {"geometry.area_circle": {"radius": [15], "units": ["meters", "m", ""]}}]}
{"id": "live_parallel_7-3-1", "official_category": "live_parallel", "task_type": "travel/local_services/logistics", "user_prompt": "What's the weather like in the two cities of Boston and San Francisco?", "function": [{"name": "get_current_weather", "description": "Retrieves the current weather conditions for a specified location.", "parameters": {"type": "dict", "required": ["location"], "properties": {"location": {"type": "string", "description": "The location for which to get the weather, in the format of 'City, State' (e.g., 'San Francisco, CA'). For state, use short form."}, "unit": {"type": "string", "description": "The unit of measurement for temperature values.", "enum": ["celsius", "fahrenheit"], "default": "fahrenheit"}}}}, {"name": "get_snow_report", "description": "Retrieves the latest snow report for a specified location, providing details about the snow conditions and weather.", "parameters": {"type": "dict", "required": ["location"], "properties": {"location": {"type": "string", "description": "The location for which to get the snow report, in the format of 'City, State', such as 'Aspen, CO'."}, "unit": {"type": "string", "description": "The temperature unit to be used in the snow report.", "enum": ["celsius", "fahrenheit"], "default": "fahrenheit"}}}}], "ground_truth": [{"get_current_weather": {"location": ["Boston, MA"], "unit": ["", "fahrenheit"]}}, {"get_current_weather": {"location": ["San Francisco, CA"], "unit": ["", "fahrenheit"]}}]}
{"id": "parallel_multiple_99", "official_category": "parallel_multiple", "task_type": "finance/trading", "user_prompt": "\"Could you please provide me with the historical dividend data for Microsoft for the past 5 years on a quarterly basis, then the same data but on an annual basis? After that, could you retrieve the stock market data for Microsoft for the past 60 days and then for the past 120 days?\"", "function": [{"name": "corporate_finance.dividend_data", "description": "Get historical dividend data of a specific company within a particular duration.", "parameters": {"type": "dict", "properties": {"company": {"type": "string", "description": "The company that you want to get the dividend data for."}, "years": {"type": "integer", "description": "Number of past years for which to retrieve the data."}, "frequency": {"type": "string", "enum": ["quarterly", "annually"], "description": "The frequency of the dividend payment.", "default": "annually"}}, "required": ["company", "years"]}}, {"name": "stock_market_data", "description": "Retrieve stock market data for a specific company and time frame.", "parameters": {"type": "dict", "properties": {"company": {"type": "string", "description": "The company that you want to get the stock market data for."}, "days": {"type": "integer", "description": "Number of past days for which to retrieve the data."}}, "required": ["company", "days"]}}], "ground_truth": [{"corporate_finance.dividend_data": {"company": ["Microsoft", "MSFT"], "years": [5], "frequency": ["quarterly"]}}, {"corporate_finance.dividend_data": {"company": ["Microsoft"], "years": [5], "frequency": ["annually", ""]}}, {"stock_market_data": {"company": ["Microsoft", "MSFT"], "days": [60]}}, {"stock_market_data": {"company": ["Microsoft"], "days": [120]}}]}
{"id": "parallel_multiple_165", "official_category": "parallel_multiple", "task_type": "finance/trading", "user_prompt": "\"Can you help me plan my week? I'm interested in attending a jazz event in San Francisco, CA within the next 5 days. Also, I heard about a lawsuit involving Apple Inc. that was filed in California after January 1, 2020, can you find the status of that for me? Lastly, I need to do some shopping at Walmart, can you tell me the total price for 2 bottles of olive oil, 3 bags of rice, and 4 cans of beans at the Walmart in San Jose, CA?\"", "function": [{"name": "event_finder.find_upcoming", "description": "Find upcoming events of a specific genre in a given location.", "parameters": {"type": "dict", "properties": {"location": {"type": "string", "description": "The city and state where the search will take place, e.g. New York, NY."}, "genre": {"type": "string", "description": "The genre of events."}, "days_ahead": {"type": "integer", "description": "The number of days from now to include in the search.", "default": 7}}, "required": ["location", "genre"]}}, {"name": "lawsuit_search", "description": "Search for lawsuits related to a specific company within a specific date range and location.", "parameters": {"type": "dict", "properties": {"company": {"type": "string", "description": "The company related to the lawsuit."}, "start_date": {"type": "string", "description": "Start of the date range for when the lawsuit was filed."}, "location": {"type": "string", "description": "Location where the lawsuit was filed."}, "status": {"type": "string", "enum": ["ongoing", "settled", "dismissed"], "description": "The status of the lawsuit. Default is 'ongoing'."}}, "required": ["company", "start_date", "location"]}}, {"name": "walmart.check_price", "description": "Calculate total price for given items and their quantities at Walmart.", "parameters": {"type": "dict", "properties": {"items": {"type": "array", "items": {"type": "string"}, "description": "List of items to be priced."}, "quantities": {"type": "array", "items": {"type": "integer"}, "description": "Quantity of each item corresponding to the items list."}, "store_location": {"type": "string", "description": "The store location for specific pricing (optional). Default is 'San Francisco, CA'."}}, "required": ["items", "quantities"]}}], "ground_truth": [{"event_finder.find_upcoming": {"location": ["San Francisco, CA"], "genre": ["jazz"], "days_ahead": [5]}}, {"lawsuit_search": {"company": ["Apple Inc."], "start_date": ["2020-01-01", "01/01/2020", "Jan 1, 2020"], "location": ["California", "CA"], "status": ["", "ongoing"]}}, {"walmart.check_price": {"items": [["olive oil", "rice", "beans"], ["olive oil", "beans", "rice"], ["rice", "olive oil", "beans"], ["rice", "beans", "olive oil"], ["beans", "olive oil", "rice"], ["beans", "rice", "olive oil"]], "quantities": [[2, 3, 4]], "store_location": ["San Jose, CA"]}}]}
{"id": "parallel_179", "official_category": "parallel", "task_type": "finance/trading", "user_prompt": "What were the stock prices of Apple Inc. listed on NASDAQ and Microsoft Corporation listed on NYSE for the past 10 and 15 days respectively?", "function": [{"name": "get_stock_price", "description": "Retrieve the stock price for a specific company and time frame.", "parameters": {"type": "dict", "properties": {"company": {"type": "string", "description": "The ticker symbol of the company."}, "days": {"type": "integer", "description": "Number of past days for which the stock price is required."}, "exchange": {"type": "string", "description": "The stock exchange where the company is listed, default is NYSE"}}, "required": ["company", "days"]}}], "ground_truth": [{"get_stock_price": {"company": ["AAPL"], "days": [10], "exchange": ["NASDAQ"]}}, {"get_stock_price": {"company": ["MSFT"], "days": [15], "exchange": ["NYSE", ""]}}]}
{"id": "parallel_multiple_145", "official_category": "parallel_multiple", "task_type": "math/data_processing", "user_prompt": "\"Can you help me with a few tasks? First, I am playing a game where I need to calculate the evolutionary fitness of a creature. The creature has three traits with values 0.7, 0.8, and 0.9, and the contributions of these traits to the overall fitness are 0.3, 0.4, and 0.3 respectively. Could you calculate the fitness for me using the 'calculate_fitness' function? \n\nSecond, I am looking for a lawyer in New York, NY who specializes in Civil and Divorce cases and charges less than $300 per hour. Could you use the 'lawyer.find_nearby' function to find one for me? \n\nThird, I am curious about the current classical chess rating of a player named Magnus Carlsen. Could you fetch that for me using the 'chess.rating' function? \n\nLastly, I am planning to go shopping at Walmart. I want to purchase 'Milk', 'Bread', and 'Eggs' from the nearest Walmart in Los Angeles, CA. The pack sizes I am looking for are 1, 2, and 12 respectively. Could you check the availability for me using the 'walmart.purchase' function?\"", "function": [{"name": "chess.rating", "description": "Fetches the current chess rating of a given player", "parameters": {"type": "dict", "properties": {"player_name": {"type": "string", "description": "The full name of the chess player."}, "variant": {"type": "string", "description": "The variant of chess for which rating is requested (e.g., 'classical', 'blitz', 'bullet'). Default is 'classical'."}}, "required": ["player_name"]}}, {"name": "calculate_fitness", "description": "Calculate the expected evolutionary fitness of a creature based on the individual values and contributions of its traits.", "parameters": {"type": "dict", "properties": {"trait_values": {"type": "array", "items": {"type": "float"}, "description": "List of trait values, which are decimal numbers between 0 and 1, where 1 represents the trait maximally contributing to fitness."}, "trait_contributions": {"type": "array", "items": {"type": "float"}, "description": "List of the percentage contributions of each trait to the overall fitness, which must sum to 1."}}, "required": ["trait_values", "trait_contributions"]}}, {"name": "lawyer.find_nearby", "description": "Locate nearby lawyers based on specific criteria like specialty, fee per hour and city.", "parameters": {"type": "dict", "properties": {"city": {"type": "string", "description": "The city and state, e.g. Chicago, IL."}, "specialty": {"type": "array", "items": {"type": "string", "enum": ["Civil", "Divorce", "Immigration", "Business", "Criminal"]}, "description": "Specialization of the lawyer."}, "fee": {"type": "integer", "description": "Hourly fee charged by lawyer", "maximum": 400}}, "required": ["city", "specialty", "fee"]}}, {"name": "walmart.purchase", "description": "Retrieve information of items from Walmart including stock availability.", "parameters": {"type": "dict", "properties": {"loc": {"type": "string", "description": "Location of the nearest Walmart."}, "product_list": {"type": "array", "items": {"type": "string"}, "description": "Items to be purchased listed in an array."}, "pack_size": {"type": "array", "items": {"type": "integer"}, "description": "Size of the product pack if applicable. The size of the array should be equal to product_list. Default is 1."}}, "required": ["loc", "product_list"]}}], "ground_truth": [{"calculate_fitness": {"trait_values": [[0.7, 0.8, 0.9]], "trait_contributions": [[0.3, 0.4, 0.3]]}}, {"lawyer.find_nearby": {"city": ["New York, NY", "NY"], "specialty": [["Civil", "Divorce"]], "fee": [300]}}, {"chess.rating": {"player_name": ["Magnus Carlsen"], "variant": ["classical", ""]}}, {"walmart.purchase": {"loc": ["Los Angeles, CA", "LA"], "product_list": [["Milk", "Bread", "Eggs"]], "pack_size": [[1, 2, 12]]}}]}
{"id": "parallel_32", "official_category": "parallel", "task_type": "parallel_tool_use/general", "user_prompt": "Provide me the major events during the presidency of Abraham Lincoln and George Washington.", "function": [{"name": "us_history.events_by_presidency", "description": "Retrieve the major events during the presidency of a specified US president.", "parameters": {"type": "dict", "properties": {"president_name": {"type": "string", "description": "The name of the US president."}, "start_year": {"type": "integer", "description": "The start year of their presidency (optional).", "default": 0}, "end_year": {"type": "integer", "description": "The end year of their presidency (optional).", "default": 2000}}, "required": ["president_name"]}}], "ground_truth": [{"us_history.events_by_presidency": {"president_name": ["Abraham Lincoln"], "start_year": ["", 0], "end_year": ["", 2000]}}, {"us_history.events_by_presidency": {"president_name": ["George Washington"], "start_year": ["", 0], "end_year": ["", 2000]}}]}
{"id": "parallel_14", "official_category": "parallel", "task_type": "math/data_processing", "user_prompt": "Calculate the Present Value of an investment paying $1000 per year, with an interest rate of 5%, for 10, 20 and 30 years.", "function": [{"name": "calculate_present_value", "description": "Calculate the present value of a future cash flows stream.", "parameters": {"type": "dict", "properties": {"payment_per_year": {"type": "integer", "description": "The payment received per year."}, "interest_rate": {"type": "float", "description": "The interest rate applied per period."}, "years": {"type": "integer", "description": "The total number of years."}}, "required": ["payment_per_year", "interest_rate", "years"]}}], "ground_truth": [{"calculate_present_value": {"payment_per_year": [1000], "interest_rate": [0.05], "years": [20]}}, {"calculate_present_value": {"payment_per_year": [1000], "interest_rate": [0.05], "years": [30]}}, {"calculate_present_value": {"payment_per_year": [1000], "interest_rate": [0.05], "years": [10]}}]}
{"id": "parallel_multiple_174", "official_category": "parallel_multiple", "task_type": "math/data_processing", "user_prompt": "\"Could you help me with a few tasks? First, I need to convert 5000 Euros to US dollars. After that, I would like to know the population of turtles in Galapagos Islands in the year 2018, and also include the species information. Then, I need to plan a trip from New York to Los Angeles, but I want to avoid tolls and ferries. Finally, I need to convert 3000 British Pounds to Japanese Yen.\"", "function": [{"name": "convert_currency", "description": "Converts an amount from a particular currency to another currency.", "parameters": {"type": "dict", "properties": {"base_currency": {"type": "string", "description": "The base currency in which the original amount is present."}, "target_currency": {"type": "string", "description": "The currency to which you want to convert."}, "amount": {"type": "integer", "description": "The amount you want to convert."}}, "required": ["base_currency", "target_currency", "amount"]}}, {"name": "map_service.get_directions", "description": "Retrieve directions from a starting location to an ending location, including options for route preferences.", "parameters": {"type": "dict", "properties": {"start": {"type": "string", "description": "Starting location for the route."}, "end": {"type": "string", "description": "Ending location for the route."}, "avoid": {"type": "array", "items": {"type": "string", "enum": ["tolls", "highways", "ferries"]}, "description": "Route features to avoid. Default is none if not specified."}}, "required": ["start", "end"]}}, {"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. Default is 2023 if not specified."}, "species": {"type": "boolean", "description": "Whether to include species information. Default is false. (optional)"}}, "required": ["location"]}}], "ground_truth": [{"convert_currency": {"base_currency": ["EUR", "Euros"], "target_currency": ["USD", "US dollars"], "amount": [5000]}}, {"ecology.get_turtle_population": {"location": ["Galapagos Islands"], "year": [2018], "species": [true]}}, {"map_service.get_directions": {"start": ["New York", "NY"], "end": ["Los Angeles", "LA"], "avoid": [["tolls", "ferries"], ["ferries", "tolls"]]}}, {"convert_currency": {"base_currency": ["GBP", "British Pounds"], "target_currency": ["JPY", "Japanese Yen"], "amount": [3000]}}]}
{"id": "parallel_multiple_130", "official_category": "parallel_multiple", "task_type": "finance/trading", "user_prompt": "\"Could you help me with the following tasks? First, I want to know the future value of my investment in the stock with the ticker symbol 'AAPL'. I have invested $5000 in it and I am expecting an annual return of 7% (0.07). I plan to hold this investment for 10 years. Second, I am interested in getting detailed information about the company 'Microsoft'. I want this information from the 'NASDAQ' stock market. Lastly, I have a quadratic equation with coefficients a=5, b=-20, and c=15. Could you solve this equation for me and provide the roots?\"", "function": [{"name": "solve_quadratic_equation", "description": "Function solves the quadratic equation and returns its roots.", "parameters": {"type": "dict", "properties": {"a": {"type": "integer", "description": "Coefficient of x squared"}, "b": {"type": "integer", "description": "Coefficient of x"}, "c": {"type": "integer", "description": "Constant term in the quadratic equation"}}, "required": ["a", "b", "c"]}}, {"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"]}}, {"name": "get_stock_info", "description": "Retrieves information about a specific stock based on company's name.", "parameters": {"type": "dict", "properties": {"company_name": {"type": "string", "description": "The name of the company."}, "detail_level": {"type": "string", "description": "Level of detail for stock information. Can be 'summary' or 'detailed'."}, "market": {"type": "string", "description": "The stock market of interest. Default is 'NASDAQ'"}}, "required": ["company_name", "detail_level"]}}], "ground_truth": [{"portfolio_future_value": {"stock": ["AAPL", "\"AAPL\""], "invested_amount": [5000], "expected_annual_return": [0.07], "years": [10]}}, {"get_stock_info": {"company_name": ["Microsoft", "\"Microsoft\""], "detail_level": ["detailed", "\"detailed\""], "market": ["NASDAQ", "\"NASDAQ\"", ""]}}, {"solve_quadratic_equation": {"a": [5], "b": [-20], "c": [15]}}]}
{"id": "parallel_175", "official_category": "parallel", "task_type": "math/data_processing", "user_prompt": "\"Could you please calculate the future value of my investments? I have invested $5000 in Apple Inc. (AAPL) and expect an annual return of 7% over the next 5 years. I have also invested $8000 in Microsoft Corporation (MSFT) with an expected annual return of 6% for the next 7 years. Lastly, I have invested $10000 in Amazon.com, Inc. (AMZN) expecting an annual return of 8% for the next 10 years.\"", "function": [{"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": ["AAPL"], "invested_amount": [5000], "expected_annual_return": [0.07], "years": [5]}}, {"portfolio_future_value": {"stock": ["MSFT"], "invested_amount": [8000], "expected_annual_return": [0.06], "years": [7]}}, {"portfolio_future_value": {"stock": ["AMZN"], "invested_amount": [10000], "expected_annual_return": [0.08], "years": [10]}}]}
{"id": "parallel_multiple_16", "official_category": "parallel_multiple", "task_type": "math/data_processing", "user_prompt": "Calculate the factorial of 8 and generate the prime numbers from 1 to 50.", "function": [{"name": "calculate_fibonacci", "description": "Calculate the Fibonacci series up to a specific position.", "parameters": {"type": "dict", "properties": {"position": {"type": "integer", "description": "The position up to which you want to calculate the Fibonacci series."}}, "required": ["position"]}}, {"name": "calculate_factorial", "description": "Calculate the factorial of a given number.", "parameters": {"type": "dict", "properties": {"number": {"type": "integer", "description": "The number of which you want to calculate the factorial."}}, "required": ["number"]}}, {"name": "generate_prime", "description": "Generate prime numbers within a given range.", "parameters": {"type": "dict", "properties": {"start": {"type": "integer", "description": "The start of the range from which you want to find the prime numbers."}, "end": {"type": "integer", "description": "The end of the range from which you want to find the prime numbers."}}, "required": ["start", "end"]}}], "ground_truth": [{"calculate_factorial": {"number": [8]}}, {"generate_prime": {"start": [1], "end": [50]}}]}
{"id": "parallel_multiple_54", "official_category": "parallel_multiple", "task_type": "travel/local_services/logistics", "user_prompt": "In game Battle Reign, change the armor level to 5 and find me a game guide for how to win in snowy weather conditions. Also find me any strategy guides available for game Shadow Fall.", "function": [{"name": "BattleReignGameAPI.update_player_equipment", "description": "Modify the player's equipment level for specified attributes", "parameters": {"type": "dict", "properties": {"attribute": {"type": "string", "description": "The attribute of the equipment to modify."}, "level": {"type": "integer", "description": "The level to modify the attribute to."}, "playerID": {"type": "integer", "description": "Player ID of the player. Default to 123", "default": 123}}, "required": ["attribute", "level"]}}, {"name": "GameGuideAPI.search_guide", "description": "Search for game guides given specific conditions and preferences", "parameters": {"type": "dict", "properties": {"game": {"type": "string", "description": "Name of the game."}, "condition": {"type": "string", "description": "Specific game conditions. (eg: 'snowy weather', 'hard mode').", "default": ""}, "type": {"type": "string", "description": "Specific type of guide. (eg: 'strategy', 'walkthrough')", "default": ""}}, "required": ["game"]}}], "ground_truth": [{"BattleReignGameAPI.update_player_equipment": {"attribute": ["armor"], "level": [5], "playerID": [123, ""]}}, {"GameGuideAPI.search_guide": {"game": ["Battle Reign"], "condition": ["snowy weather"], "type": [""]}}, {"GameGuideAPI.search_guide": {"game": ["Shadow Fall"], "type": ["strategy"], "condition": [""]}}]}
{"id": "parallel_94", "official_category": "parallel", "task_type": "math/data_processing", "user_prompt": "\"In a physics experiment, you are given two charges. The first charge is 5 coulombs and is placed at a distance of 2 meters from the point where the electric field is being measured. The second charge is 3 coulombs and is placed at a distance of 4 meters from the same point. The experiment is conducted in a vacuum. Can you calculate the electric field produced by each charge at the point of measurement by invoking the 'calculate_electric_field' function?\"", "function": [{"name": "calculate_electric_field", "description": "Calculate the electric field produced by a charge at a certain distance.", "parameters": {"type": "dict", "properties": {"charge": {"type": "integer", "description": "Charge in coulombs producing the electric field."}, "distance": {"type": "integer", "description": "Distance from the charge in meters where the field is being measured."}, "permitivity": {"type": "integer", "description": "Permitivity of the space where field is being calculated, default is for vacuum."}}, "required": ["charge", "distance"]}}], "ground_truth": [{"calculate_electric_field": {"charge": [5], "distance": [2], "permitivity": ["", 0]}}, {"calculate_electric_field": {"charge": [3], "distance": [4], "permitivity": ["", 0]}}]}
{"id": "parallel_157", "official_category": "parallel", "task_type": "math/data_processing", "user_prompt": "\"Could you use the 'predict_house_price' function to compare the estimated prices of four different houses? The first house is located in New York, has 3 bedrooms, 2 bathrooms, and an area of 1500 square feet. The second house is in Los Angeles, with 4 bedrooms, 3 bathrooms, and an area of 2000 square feet. The third house is in Chicago, with 2 bedrooms, 1 bathroom, and an area of 1200 square feet. The fourth house is in Miami, with 3 bedrooms, 2 bathrooms, and an area of 1800 square feet.\"", "function": [{"name": "predict_house_price", "description": "Predict the price of a house in a given area based on number of bedrooms, bathrooms and area.", "parameters": {"type": "dict", "properties": {"bedrooms": {"type": "integer", "description": "The number of bedrooms in the house."}, "bathrooms": {"type": "integer", "description": "The number of bathrooms in the house."}, "area": {"type": "integer", "description": "The area of the house in square feet."}, "location": {"type": "string", "description": "The location of the house."}}, "required": ["bedrooms", "bathrooms", "area", "location"]}}], "ground_truth": [{"predict_house_price": {"bedrooms": [3], "bathrooms": [2], "area": [1500], "location": ["New York", "New York, NY", "New York City", "NYC"]}}, {"predict_house_price": {"bedrooms": [4], "bathrooms": [3], "area": [2000], "location": ["Los Angeles", "Los Angeles, CA", "LA"]}}, {"predict_house_price": {"bedrooms": [2], "bathrooms": [1], "area": [1200], "location": ["Chicago"]}}, {"predict_house_price": {"bedrooms": [3], "bathrooms": [2], "area": [1800], "location": ["Miami"]}}]}
{"id": "parallel_multiple_72", "official_category": "parallel_multiple", "task_type": "parallel_tool_use/general", "user_prompt": "\"Could you please generate a sinusoidal sound wave with a frequency of 440 Hz and a duration of 5 seconds, save it to a WAV file named 'test.wav', then generate a square wave sound with a frequency of 880 Hz and a duration of 10 seconds, save it to a file named 'test2.wav', and finally play the 'test.wav' file at a volume level of 0.8 and the 'test2.wav' file at a volume level of 0.6?\"", "function": [{"name": "generate_sound_wave", "description": "This function is for generating a sinusoidal sound wave file of a certain frequency for a specific duration and save it to a WAV file.", "parameters": {"type": "dict", "properties": {"frequency": {"type": "float", "description": "The frequency of the sound wave in Hz."}, "duration": {"type": "integer", "description": "The duration of the sound in seconds."}, "wave_type": {"type": "string", "enum": ["sine", "square", "sawtooth"], "description": "The waveform to be used to generate the sound.", "default": "sine"}}, "required": ["frequency", "duration"]}}, {"name": "play_sound_wave", "description": "This function is for playing a sound wave file.", "parameters": {"type": "dict", "properties": {"wave_file": {"type": "string", "description": "The filename of the sound wave file to be played."}, "volume": {"type": "float", "description": "The volume level at which the sound is to be played (1 is 100%).", "default": 1}}, "required": ["wave_file"]}}], "ground_truth": [{"generate_sound_wave": {"frequency": [440.0], "duration": [5], "wave_type": ["sine", ""]}}, {"generate_sound_wave": {"frequency": [880.0], "duration": [10], "wave_type": ["square"]}}, {"play_sound_wave": {"wave_file": ["test.wav"], "volume": [0.8]}}, {"play_sound_wave": {"wave_file": ["test2.wav"], "volume": [0.6]}}]}
{"id": "parallel_93", "official_category": "parallel", "task_type": "parallel_tool_use/general", "user_prompt": "What would be the estimated travel time if I start my journey from New York, make stops at Philadelphia, Washington D.C., and Atlanta, and finally reach Miami? Also, what if I skip the stop at Atlanta and directly go to Miami from Washington D.C.? And lastly, what if I start from Philadelphia instead of New York, stop at Washington D.C., and then reach Miami?", "function": [{"name": "route.estimate_time", "description": "Estimate the travel time for a specific route with optional stops.", "parameters": {"type": "dict", "properties": {"start_location": {"type": "string", "description": "The starting point for the journey."}, "end_location": {"type": "string", "description": "The destination for the journey."}, "stops": {"type": "array", "items": {"type": "string"}, "description": "Additional cities or points of interest to stop at during the journey ordered.", "default": ["NYC"]}}, "required": ["start_location", "end_location"]}}], "ground_truth": [{"route.estimate_time": {"start_location": ["New York", "New York, NY", "NYC"], "end_location": ["Miami"], "stops": [["Philadelphia", "Washington D.C.", "Atlanta"], ["Philadelphia", "Washington D.C.", "Atlanta"], ["Philadelphia", "Washington D.C.", "Atlanta"], ["Atlanta", "Philadelphia", "Washington D.C."], ["Atlanta", "Philadelphia", "Washington D.C."], ["Atlanta", "Philadelphia", "Washington D.C."], ["Washington D.C.", "Philadelphia", "Atlanta"], ["Washington D.C.", "Philadelphia", "Atlanta"], ["Washington D.C.", "Philadelphia", "Atlanta"]]}}, {"route.estimate_time": {"start_location": ["New York", "New York, NY", "NYC"], "end_location": ["Miami"], "stops": [["Washington D.C."], ["Philadelphia", "Washington D.C."], ["Philadelphia", "Washington D.C.", "New York"], ["Philadelphia", "Washington D.C.", "NYC"], ["Washington D.C.", "Philadelphia"], ["Washington D.C.", "Philadelphia", "New York"], ["Washington D.C.", "Philadelphia", "NYC"]]}}, {"route.estimate_time": {"start_location": ["Philadelphia"], "end_location": ["Miami"], "stops": [["Washington D.C."], ["Washington D.C.", "Philadelphia"]]}}]}
{"id": "parallel_187", "official_category": "parallel", "task_type": "search/research", "user_prompt": "What is the air quality data for New York City, including additional data like PM2.5, PM10, ozone levels, and pollution sources, for today, yesterday, and the day before yesterday? Today is May 5, 2023", "function": [{"name": "get_air_quality", "description": "Retrieve real-time air quality and pollution data for a specific location.", "parameters": {"type": "dict", "properties": {"location": {"type": "string", "description": "The city that you want to get the air quality data for."}, "detail": {"type": "boolean", "description": "If true, additional data like PM2.5, PM10, ozone levels, and pollution sources will be retrieved. the value is set to false to default."}, "historical": {"type": "string", "description": "Optional date (in 'YYYY-MM-DD' format) to retrieve historical data.", "default": "today"}}, "required": ["location"]}}], "ground_truth": [{"get_air_quality": {"location": ["New York City", "NYC"], "detail": [true], "historical": ["2023-05-05"]}}, {"get_air_quality": {"location": ["New York City", "NYC"], "detail": [true], "historical": ["2023-05-04"]}}, {"get_air_quality": {"location": ["New York City", "NYC"], "detail": [true], "historical": ["2023-05-03"]}}]}
{"id": "parallel_72", "official_category": "parallel", "task_type": "math/data_processing", "user_prompt": "\"Could you calculate the area under the curve for the function 'x^3' between x values of 2 and 5 using the 'trapezoid' method of numerical integration, and then do the same calculation but using the 'simpson' method? After that, could you repeat these calculations but for the function '2x^2+3x-1' between x values of -1 and 3?\"", "function": [{"name": "integrate", "description": "Calculate the area under a curve for a specified function between two x values.", "parameters": {"type": "dict", "properties": {"function": {"type": "string", "description": "The function to integrate, represented as a string. For example, 'x^3'"}, "start_x": {"type": "integer", "description": "The starting x-value to integrate over."}, "end_x": {"type": "integer", "description": "The ending x-value to integrate over."}, "method": {"type": "string", "description": "The method of numerical integration to use. Choices are 'trapezoid' or 'simpson'. Default is 'trapezoid'."}}, "required": ["function", "start_x", "end_x"]}}], "ground_truth": [{"integrate": {"function": ["x**3", "lambda x: x**3"], "start_x": [2], "end_x": [5], "method": ["trapezoid", ""]}}, {"integrate": {"function": ["x**3", "lambda x: x**3"], "start_x": [2], "end_x": [5], "method": ["simpson"]}}, {"integrate": {"function": ["2x**2 + 3x - 1", "lambda x: 2x**2 + 3x - 1"], "start_x": [-1], "end_x": [3], "method": ["trapezoid", ""]}}, {"integrate": {"function": ["2x**2 + 3x - 1", "lambda x: 2x**2 + 3x - 1"], "start_x": [-1], "end_x": [3], "method": ["simpson"]}}]}
{"id": "parallel_multiple_148", "official_category": "parallel_multiple", "task_type": "math/data_processing", "user_prompt": "\"Can you tell me the net worth of the famous footballer Lionel Messi in Euros? After that, I would like to know the net worth of the basketball player LeBron James in British Pounds. Also, I'm curious about the Body Mass Index (BMI) of a person who weighs 85 kilograms and is 180 centimeters tall using the metric system. Lastly, could you calculate the BMI of another person who weighs 200 pounds and is 6 feet 2 inches tall using the imperial system?\"", "function": [{"name": "calculate_bmi", "description": "Calculate the Body Mass Index (BMI) of a person.", "parameters": {"type": "dict", "properties": {"weight": {"type": "integer", "description": "Weight of the person in kilograms."}, "height": {"type": "integer", "description": "Height of the person in centimeters."}, "unit": {"type": "string", "description": "Optional parameter to choose between 'imperial' and 'metric' systems. Default is 'metric'."}}, "required": ["weight", "height"]}}, {"name": "celebrity_net_worth.get", "description": "Get the total net worth of a sports celebrity based on most recent data.", "parameters": {"type": "dict", "properties": {"name": {"type": "string", "description": "The full name of the sports celebrity."}, "currency": {"type": "string", "description": "The currency in which the net worth will be returned. Default is 'USD'."}}, "required": ["name", "currency"]}}], "ground_truth": [{"celebrity_net_worth.get": {"name": ["Lionel Messi"], "currency": ["EUR", "Euros"]}}, {"celebrity_net_worth.get": {"name": ["LeBron James"], "currency": ["GBP", "British Pounds"]}}, {"calculate_bmi": {"weight": [85], "height": [180], "unit": ["metric", ""]}}, {"calculate_bmi": {"weight": [200], "height": [74], "unit": ["imperial"]}}]}
{"id": "parallel_multiple_164", "official_category": "parallel_multiple", "task_type": "math/data_processing", "user_prompt": "\"John is a lawyer who is working on a case with docket number '12345' in the 'Supreme Court'. He needs to retrieve the details of the 'accused' from this case. After his work, he plans to help his son with his homework. His son is learning about triangles and he needs to calculate the area of a triangle with a base of 10 units and a height of 5 units. The unit of measure is 'square meters'. Later, John has to go back to his work and retrieve the 'verdict' details of another case with docket number '67890' in the 'High Court'. Can you assist John with these tasks?\"", "function": [{"name": "calculate_triangle_area", "description": "Calculate the area of a triangle given its base and height.", "parameters": {"type": "dict", "properties": {"base": {"type": "integer", "description": "The base of the triangle."}, "height": {"type": "integer", "description": "The height of the triangle."}, "unit": {"type": "string", "description": "The unit of measure (defaults to 'units' if not specified)"}}, "required": ["base", "height"]}}, {"name": "get_case_info", "description": "Retrieve case details using a specific case docket number and court location.", "parameters": {"type": "dict", "properties": {"docket": {"type": "string", "description": "Docket number for the specific court case."}, "court": {"type": "string", "description": "Court in which the case was heard."}, "info_type": {"type": "string", "description": "Specify the information type needed for the case. i.e., victim, accused, verdict etc."}}, "required": ["docket", "court", "info_type"]}}], "ground_truth": [{"calculate_triangle_area": {"base": [10], "height": [5], "unit": ["square meters", "m^2", "sq m", "sq. meters"]}}, {"get_case_info": {"docket": ["12345"], "court": ["Supreme Court"], "info_type": ["accused"]}}, {"get_case_info": {"docket": ["67890"], "court": ["High Court"], "info_type": ["verdict"]}}]}
{"id": "parallel_multiple_104", "official_category": "parallel_multiple", "task_type": "travel/local_services/logistics", "user_prompt": "\"Can you provide me with a 5-day air quality forecast for New York, a 7-day weather forecast for Los Angeles, news articles on 'global warming' for the past 3 days, and a 2-day air quality forecast for Beijing?\"", "function": [{"name": "news", "description": "Retrieve news articles for a specific topic.", "parameters": {"type": "dict", "properties": {"topic": {"type": "string", "description": "The topic that you want to get the news for."}, "days": {"type": "integer", "description": "Number of past days for which to retrieve the news."}}, "required": ["topic", "days"]}}, {"name": "air_quality_forecast", "description": "Retrieve an air quality forecast for a specific location and time frame.", "parameters": {"type": "dict", "properties": {"location": {"type": "string", "description": "The city that you want to get the air quality forecast for."}, "days": {"type": "integer", "description": "Number of days for the forecast."}}, "required": ["location", "days"]}}, {"name": "weather_forecast", "description": "Retrieve a weather forecast for a specific location and time frame.", "parameters": {"type": "dict", "properties": {"location": {"type": "string", "description": "The city that you want to get the weather for."}, "days": {"type": "integer", "description": "Number of days for the forecast."}}, "required": ["location", "days"]}}], "ground_truth": [{"air_quality_forecast": {"location": ["New York", "NY"], "days": [5]}}, {"weather_forecast": {"location": ["Los Angeles", "LA"], "days": [7]}}, {"news": {"topic": ["global warming"], "days": [3]}}, {"air_quality_forecast": {"location": ["Beijing"], "days": [2]}}]}
{"id": "parallel_142", "official_category": "parallel", "task_type": "media/content", "user_prompt": "Can you use the 'update_user_info' function to update the name and email of a customer with user ID 12345 in the 'CustomerInfo' database to \"John\" and \"example@.com\", then repeat the same process for another customer with user ID 67890, changing their name and email to the same value as well as well?", "function": [{"name": "update_user_info", "description": "Update user information in the database.", "parameters": {"type": "dict", "properties": {"user_id": {"type": "integer", "description": "The user ID of the customer."}, "update_info": {"type": "dict", "properties": {"name": {"type": "string", "description": "The customer's updated name."}, "email": {"type": "string", "description": "The customer's updated email."}}, "description": "The new information to update."}, "database": {"type": "string", "description": "The database where the user's information is stored.", "default": "CustomerInfo"}}, "required": ["user_id", "update_info"]}}], "ground_truth": [{"update_user_info": {"user_id": [12345], "update_info": [{"name": ["John"], "email": ["example@.com"]}], "database": ["CustomerInfo", ""]}}, {"update_user_info": {"user_id": [67890], "update_info": [{"name": ["John"], "email": ["example@.com"]}], "database": ["CustomerInfo", ""]}}]}
{"id": "parallel_multiple_45", "official_category": "parallel_multiple", "task_type": "math/data_processing", "user_prompt": "Calculate the volume of a cuboid with a height of 10m, a width of 5m, and a depth of 8m. And find out the volume of a sphere with a radius of 4m.", "function": [{"name": "calcVolume.cuboid", "description": "Calculates the volume of a cuboid.", "parameters": {"type": "dict", "properties": {"height": {"type": "float", "description": "The height of the cuboid."}, "width": {"type": "float", "description": "The width of the cuboid."}, "depth": {"type": "float", "description": "The depth of the cuboid."}}, "required": ["height", "width", "depth"]}}, {"name": "calcVolume.sphere", "description": "Calculates the volume of a sphere.", "parameters": {"type": "dict", "properties": {"radius": {"type": "float", "description": "The radius of the sphere."}}, "required": ["radius"]}}], "ground_truth": [{"calcVolume.cuboid": {"height": [10.0], "width": [5.0], "depth": [8.0]}}, {"calcVolume.sphere": {"radius": [4.0]}}]}
{"id": "parallel_multiple_84", "official_category": "parallel_multiple", "task_type": "search/research", "user_prompt": "\"Imagine you are a math teacher preparing for a class. You want to create a challenging problem for your students that involves multiple steps. You decide to create a problem that involves finding the least common multiple (LCM) and the greatest common divisor (GCD) of two numbers, and then calculating the square root of these results. You choose the numbers 36 and 48 for the LCM and GCD calculations. For the square root calculations, you want the results to be accurate to 3 decimal places. What are the square roots of the LCM and GCD of 36 and 48, accurate to 3 decimal places?\"", "function": [{"name": "math.sqrt", "description": "Calculates the square root of a number.", "parameters": {"type": "dict", "properties": {"num": {"type": "float", "description": "The number."}, "accuracy": {"type": "float", "description": "The number of decimal places in the result.", "default": 2.0}}, "required": ["num"]}}, {"name": "math.gcd", "description": "Calculates the greatest common divisor of two numbers.", "parameters": {"type": "dict", "properties": {"num1": {"type": "integer", "description": "The first number."}, "num2": {"type": "integer", "description": "The second number."}}, "required": ["num1", "num2"]}}, {"name": "math.lcm", "description": "Calculates the least common multiple of two numbers.", "parameters": {"type": "dict", "properties": {"num1": {"type": "integer", "description": "The first number."}, "num2": {"type": "integer", "description": "The second number."}}, "required": ["num1", "num2"]}}], "ground_truth": [{"math.lcm": {"num1": [36], "num2": [48]}}, {"math.gcd": {"num1": [36], "num2": [48]}}]}
{"id": "live_parallel_multiple_3-2-1", "official_category": "live_parallel_multiple", "task_type": "travel/local_services/logistics", "user_prompt": "Can you tell me the weather in Seoul, South Korea using Celsius units? Also, turn on the air conditioner in the living room, and I'm curious about the Imjin War, Find some up-to-date information on that?", "function": [{"name": "OpenWeatherMap.get_current_weather", "description": "Fetches the current weather information for a specified location using the OpenWeatherMap API.", "parameters": {"type": "dict", "required": ["location"], "properties": {"location": {"type": "string", "description": "The location for which current weather information is requested, specified in the format of 'City, Country' in English. For example: 'Seoul, South Korea'.", "enum": ["New York, USA", "London, UK", "Seoul, South Korea", "Sydney, Australia", "Tokyo, Japan"]}, "units": {"type": "string", "description": "The unit system used for the weather data. Can be 'metric' for Celsius, 'imperial' for Fahrenheit, or 'standard' for Kelvin.", "enum": ["metric", "imperial", "standard"], "default": "metric"}, "api_key": {"type": "string", "description": "The API key used to authenticate requests to the OpenWeatherMap API. This key should be kept secret.", "default": "YOUR_API_KEY_HERE"}}}}, {"name": "ControlAppliance.execute", "description": "This function is designed for controlling a home appliance, checking its current status and settings, as well as monitoring indoor air properties like air quality and temperature. For control commands, the input must clearly specify 'power on' or 'start'. To check the status, the input must include the keyword '확인'. Note that this tool is not intended for describing, creating, deleting, or removing modes or routines.", "parameters": {"type": "dict", "required": ["command"], "properties": {"command": {"type": "string", "description": "The command must be specified as a string in Korean, consisting of the room name, appliance name (or alias), and operation command, separated by commas. Examples: '거실, 에어컨, 실행' for turning on the air conditioner in the living room, ', 에어컨, 냉방 실행' for activating cooling without specifying the room, '다용도실, 통돌이, 중지' for stopping the washing machine (alias '통돌이') in the utility room.", "enum": ["거실, 에어컨, 실행", ", 에어컨, 냉방 실행", "다용도실, 통돌이, 중지"]}}}}, {"name": "HNA_WQA.search", "description": "Retrieve up-to-date information by searching the web using keywords. This is particularly useful for queries regarding topics that change frequently, such as the current president, recent movies, or popular songs.", "parameters": {"type": "dict", "required": ["keyword"], "properties": {"keyword": {"type": "string", "description": "The search term used by the HNA WQA to find relevant information on the web."}, "result_format": {"type": "string", "description": "The desired format of the search results.", "enum": ["text", "json", "xml"], "default": "text"}, "language": {"type": "string", "description": "The language preference for the search results.", "enum": ["EN", "ES", "FR", "DE"], "default": "EN"}, "max_results": {"type": "integer", "description": "Maximum number of search results to return.", "default": 10}}}}, {"name": "HNA_NEWS.search", "description": "Searches for recent events and news based on the specified keyword.", "parameters": {"type": "dict", "required": ["keyword"], "properties": {"keyword": {"type": "string", "description": "The key term used to search for relevant news articles."}, "category": {"type": "string", "description": "The category to filter news articles by.", "enum": ["Politics", "Economy", "Sports", "Technology", "Entertainment"], "default": "General"}, "date_range": {"type": "string", "description": "The date range for the news search, formatted as 'YYYY-MM-DD to YYYY-MM-DD'.", "default": "null"}, "sort_by": {"type": "string", "description": "The sorting order of the search results.", "enum": ["date", "relevance"], "default": "date"}, "language": {"type": "string", "description": "The language of the news articles to retrieve.", "enum": ["EN", "FR", "ES", "DE", "IT"], "default": "EN"}}}}, {"name": "cookbook.search_recipe", "description": "Searches for cooking recipes based on a provided keyword. Returns a list of recipes that contain the keyword in their title or ingredients list.", "parameters": {"type": "dict", "required": ["keyword"], "properties": {"keyword": {"type": "string", "description": "The keyword to search for in the recipe titles or ingredients."}, "cuisine": {"type": "string", "description": "The cuisine type to narrow down the search results.", "enum": ["Italian", "Chinese", "Indian", "French", "Mexican"], "default": "Italian"}, "max_results": {"type": "integer", "description": "The maximum number of recipe results to return.", "default": 10}}}}], "ground_truth": [{"OpenWeatherMap.get_current_weather": {"location": ["Seoul, South Korea"], "units": ["", "metric"], "api_key": ["", "YOUR_API_KEY_HERE"]}}, {"ControlAppliance.execute": {"command": ["거실, 에어컨, 실행"]}}, {"HNA_WQA.search": {"keyword": ["Imjin War", "the Imjin War"], "result_format": ["", "text"], "language": ["", "EN"], "max_results": ["", 10]}}]}
{"id": "parallel_11", "official_category": "parallel", "task_type": "finance/trading", "user_prompt": "Predict house price for a house of size 3000 sq ft. in location New York and 4000 sq ft. in Los Angeles using Machine Learning Model.", "function": [{"name": "ml.predict_house_price", "description": "Predict house price using Machine Learning model given the house size and location", "parameters": {"type": "dict", "properties": {"location": {"type": "string", "description": "Location of the house"}, "size": {"type": "integer", "description": "Size of the house in square feet"}}, "required": ["location", "size"]}}], "ground_truth": [{"ml.predict_house_price": {"location": ["New York", "New York, NY", "NYC"], "size": [3000]}}, {"ml.predict_house_price": {"location": ["Los Angeles", "Los Angeles, CA", "LA"], "size": [4000]}}]}
{"id": "live_parallel_multiple_14-12-0", "official_category": "live_parallel_multiple", "task_type": "math/data_processing", "user_prompt": "Can you first calculate the greatest common divisor of the numbers 36 and 48 and then estimate the derivative of the function f(x) = x^2 at the point x = 5?", "function": [{"name": "math_gcd", "description": "Calculates the greatest common divisor (GCD) of two positive integers using the Euclidean algorithm.", "parameters": {"type": "dict", "required": ["a", "b"], "properties": {"a": {"type": "integer", "description": "The first and larger positive integer for which to calculate the GCD."}, "b": {"type": "integer", "description": "The second positive integer for which to calculate the GCD."}}}}, {"name": "estimate_derivative", "description": "Estimate the derivative of a function at a given point using a finite difference method.", "parameters": {"type": "dict", "required": ["function", "x"], "properties": {"function": {"type": "any", "description": "A callable function for which the derivative will be estimated, like the lambda x"}, "x": {"type": "float", "description": "The x-value (point) at which the derivative is to be estimated."}, "dx": {"type": "float", "description": "A small increment in x used to calculate the finite difference. A smaller value gives a better approximation of the derivative.", "default": 0.001}, "method": {"type": "string", "description": "The finite difference method to use for estimation.", "enum": ["forward", "backward", "central"], "default": "central"}}}}], "ground_truth": [{"math_gcd": {"a": [48], "b": [36]}}, {"estimate_derivative": {"function": ["lambda x: x**2"], "x": [5.0], "dx": ["", 0.001], "method": ["", "central"]}}]}
{"id": "parallel_27", "official_category": "parallel", "task_type": "search/research", "user_prompt": "Find a nature reserve around Berkeley within 10 kilometers that has picnic tables and public restrooms, as well as one around Tokyo within 5 kilometers that has playgrounds and biking trails.", "function": [{"name": "nature_reserve.find_nearby", "description": "Locate nearby nature reserves based on specific criteria such as amenities and proximity.", "parameters": {"type": "dict", "properties": {"location": {"type": "string", "description": "The city where you want to locate a nature reserve."}, "amenities": {"type": "array", "items": {"type": "string", "enum": ["Picnic Tables", "Public Restrooms", "Playgrounds", "Biking Trails", "Hiking Trails", "Camping Grounds"]}, "description": "Preferred amenities in the nature reserve."}, "proximity": {"type": "integer", "description": "The radius within which to look for nature reserves in kilometers."}}, "required": ["location", "proximity", "amenities"]}}], "ground_truth": [{"nature_reserve.find_nearby": {"location": ["Berkeley", "Berkeley,California", "CA"], "amenities": [["Picnic Tables", "Public Restrooms"], ["Public Restrooms", "Picnic Tables"]], "proximity": [10]}}, {"nature_reserve.find_nearby": {"location": ["Tokyo"], "amenities": [["Playgrounds", "Biking Trails"], ["Biking Trails", "Playgrounds"]], "proximity": [5]}}]}