BitAgent/bfcl_shuffle_full huggingface dataset:
user: "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?"

Available functions:
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
user: "Can you help me with a few tasks? First, I need to book a hotel room in Paris for 5 nights starting from 20th June. I prefer a deluxe room and would like the hotel to have a gym and offer free breakfast. Secondly, I am curious about the last match played by the soccer club 'Manchester United'. Could you fetch the details for me? Also, include the match statistics. Lastly, I recently measured my weight and height. I weigh 75 kilograms and my height is 1.8 meters. Could you calculate my Body Mass Index (BMI)?"

Available functions:
name: hotel_booking
description: Books a hotel room given the location, room type, stay duration and any additional preferences.
parameters: type: dict
properties: location: type: string
description: The city where you want to book the hotel.
room_type: type: string
description: Type of the room required. Options: 'single', 'double', 'deluxe', etc.
duration: type: integer
description: The number of nights you want to book the hotel for.
start_date: type: string
description: The date when your stay begins.
preferences: type: array
items: type: string
enum: pet_friendly
gym
swimming_pool
free_breakfast
parking
description: Optional preferences of stay at the hotel. Default is all if not specified.
required: location
room_type
duration
start_date
name: soccer.get_last_match
description: Retrieve the details of the last match played by a specified soccer club.
parameters: type: dict
properties: team_name: type: string
description: The name of the soccer club.
include_stats: type: boolean
description: If true, include match statistics like possession, shots on target etc. Default is false.
required: team_name
name: calculate_BMI
description: Calculate the Body Mass Index (BMI) given a person's weight and height.
parameters: type: dict
properties: weight_kg: type: integer
description: The weight of the person in kilograms.
height_m: type: float
description: The height of the person in meters.
required: weight_kg
height_m
user: "Could you help me with a few things? First, I'm interested in finding out all the movies that actor Leonardo DiCaprio starred in the year 2010, specifically in the Drama category. Second, I'd like to know about any lawsuits filed against the company 'Apple Inc.' in the location 'California' in the year 2015, and I'm particularly interested in civil cases. Lastly, I need to book a direct flight from 'New York' to 'London' on the date '2022-12-25', and I prefer the time to be around '10:00AM'. Can you assist me with these?"

Available functions:
name: lawsuits_search
description: Search for lawsuits against a specific company within a specific time and location.
parameters: type: dict
properties: company_name: type: string
description: The name of the company.
location: type: string
description: The location where the lawsuit was filed.
year: type: integer
description: The year when the lawsuit was filed.
case_type: type: string
description: The type of the case. Options include: 'civil', 'criminal', 'small_claims', etc. If not specified, default to search for all types.
required: company_name
location
year
name: flight.book
description: Book a direct flight for a specific date and time from departure location to destination location.
parameters: type: dict
properties: departure_location: type: string
description: The location you are departing from.
destination_location: type: string
description: The location you are flying to.
date: type: string
description: The date of the flight. Accepts standard date format e.g., 2022-04-28.
time: type: string
description: Preferred time of flight. Format XX:XXAM or XX:XXPM. Default ''
direct_flight: type: boolean
description: If set to true, only direct flights will be searched. Default is false
required: departure_location
destination_location
date
name: imdb.find_movies_by_actor
description: Searches the database to find all movies by a specific actor within a certain year.
parameters: type: dict
properties: actor_name: type: string
description: The name of the actor.
year: type: integer
description: The specific year to search in.
category: type: string
description: The category of the film (e.g. Drama, Comedy, etc). This parameter is optional. Default is all if not specified.
required: actor_name
year
user: "Imagine you are planning a vacation to Paris, France. You want to stay at the 'Hotel Le Bristol Paris' in a suite room for 10 days starting from 12-01-2022. You also have a preference for a city view from your room. How would you book this hotel? After booking, you want to know how much 1000 US dollars would be in Euros. Can you find out the latest exchange rate? On your way to the hotel, you want to stop by a Safeway store in Palo Alto, CA to pick up some items. You need to order 2 bottles of water, 3 apples, and 1 loaf of bread. How would you place this order? Lastly, you are curious about the universe and want to know how long it would take for light to travel from Earth to Proxima Centauri, which is approximately 4.24 light years away, considering the speed of light in vacuum is 299792458 m/s. Can you calculate this?"

Available functions:
name: book_hotel
description: Book a room in a specific hotel with particular preferences
parameters: type: dict
properties: hotel_name: type: string
description: The name of the hotel.
location: type: string
description: The location of the hotel.
room_type: type: string
description: The type of room preferred.
start_date: type: string
description: The starting date of the stay in format MM-DD-YYYY.
stay_duration: type: integer
description: The duration of the stay in days.
view: type: string
description: The preferred view from the room, can be ignored if no preference. If none provided, assumes no preference.
default: No preference
required: hotel_name
location
room_type
start_date
stay_duration
name: safeway.order
description: Order specified items from a Safeway location.
parameters: type: dict
properties: location: type: string
description: The location of the Safeway store, e.g. Palo Alto, CA.
items: type: array
items: type: string
description: List of items to order.
quantity: type: array
items: type: integer
description: Quantity of each item in the order list.
required: location
items
quantity
name: latest_exchange_rate
description: Retrieve the latest exchange rate between two specified currencies.
parameters: type: dict
properties: source_currency: type: string
description: The currency you are converting from.
target_currency: type: string
description: The currency you are converting to.
amount: type: integer
description: The amount to be converted. If omitted, default to xchange rate of 1 unit source currency.
required: source_currency
target_currency
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
user: "Can you help me with a few things? First, I'm trying to calculate the area of a triangle that has a base of 12 meters and a height of 15 meters. I would like the result in square meters. Second, I'm curious about the inventor and year of invention of the 'Telephone'. Could you find that for me? Lastly, I'm planning a road trip and need directions from 'New York City' to 'Los Angeles'. I would like to avoid 'tolls' and 'highways'. Can you provide the best route for me?"

Available functions:
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: geometry.area_triangle
description: Calculate the area of a triangle.
parameters: type: dict
properties: base: type: integer
description: The length of the base of the triangle.
height: type: integer
description: The height of the triangle from the base.
unit: type: string
description: The measurement unit for the area. Defaults to square meters.
required: base
height
name: science_history.get_invention
description: Retrieve the inventor and year of invention based on the invention's name.
parameters: type: dict
properties: invention_name: type: string
description: The name of the invention.
want_year: type: boolean
default: no
description: Return the year of invention if set to true.
required: invention_name
want_year
user: "Could you help me plan a trip? I want to go to Paris for 7 days with a daily budget of $200, and I prefer exploring urban areas. Also, I'm trying to cook a dish called 'Chicken Alfredo', but I'm not sure if it fits my diet. Could you find a recipe for 'Chicken Alfredo' that has less than 800 calories? Additionally, I have a cooking measurement problem. I have a recipe that calls for 2 cups of flour, but I only have a scale. Can you convert 2 cups of flour into grams for me? Lastly, I'm doing a research project and need to run a linear regression model. The predictor variables are 'age', 'income', and 'education level', and the target variable is 'job satisfaction'. Could you also standardize the predictors for me?"

Available functions:
name: run_linear_regression
description: Build a linear regression model using given predictor variables and a target variable.
parameters: type: dict
properties: predictors: type: array
items: type: string
description: Array containing the names of predictor variables.
target: type: string
description: The name of target variable.
standardize: type: boolean
description: Option to apply standardization on the predictors. Defaults to False.
required: predictors
target
name: travel_itinerary_generator
description: Generate a travel itinerary based on specific destination, duration and daily budget, with preferred exploration type.
parameters: type: dict
properties: destination: type: string
description: Destination city of the trip.
days: type: integer
description: Number of days for the trip.
daily_budget: type: integer
description: The maximum daily budget for the trip.
exploration_type: type: string
enum: nature
urban
history
culture
description: The preferred exploration type.
default: urban
required: destination
days
daily_budget
name: cooking_conversion.convert
description: Convert cooking measurements from one unit to another.
parameters: type: dict
properties: quantity: type: integer
description: The quantity to be converted.
from_unit: type: string
description: The unit to convert from.
to_unit: type: string
description: The unit to convert to.
item: type: string
description: The item to be converted.
required: quantity
from_unit
to_unit
item
name: find_recipe
description: Locate a recipe based on name and its calorie content
parameters: type: dict
properties: recipeName: type: string
description: The recipe's name.
maxCalories: type: integer
description: The maximum calorie content of the recipe.
default: 1000
required: recipeName
user: "Imagine you are considering to buy a house in San Francisco, California. The house was built in 1985, has an area of 2000 square feet and contains 4 rooms. You want to predict the price of this house. After buying the house, you also want to know about any lawsuits involving the previous owner, Mr. John Doe, in the county of San Francisco. Additionally, you are curious about the probability of winning a lottery where the total number of possible outcomes is 1000 and the number of favorable outcomes is 5. You want the result to be rounded to 3 decimal places. Can you provide the predicted house price, the lawsuits involving Mr. John Doe in San Francisco county, and the probability of winning the lottery?"

Available functions:
name: lawsuit_search
description: Retrieve all lawsuits involving a particular entity from specified jurisdiction.
parameters: type: dict
properties: entity: type: string
description: The entity involved in lawsuits.
county: type: string
description: The jurisdiction for the lawsuit search.
state: type: string
description: The state for the lawsuit search. Default is California.
required: entity
county
name: calculate_probability
description: Calculate the probability of an event.
parameters: type: dict
properties: total_outcomes: type: integer
description: Total number of possible outcomes.
favorable_outcomes: type: integer
description: Number of outcomes considered as 'successful'.
round_to: type: integer
description: Number of decimal places to round the result to.
default: 2
required: total_outcomes
favorable_outcomes
name: predict_house_price
description: Predict house price based on area, number of rooms and year of construction.
parameters: type: dict
properties: area: type: integer
description: Area of the house in square feet.
rooms: type: integer
description: Number of rooms in the house.
year: type: integer
description: Year when the house was constructed.
location: type: string
description: The location or city of the house.
required: area
rooms
year
location
user: "Can you help me with a few calculations? First, I need to calculate the power of 7 raised to 3. Then, I want to know the probability of drawing a red card from a standard deck of 52 playing cards, round the answer to 3 decimal places. After that, I have a DNA molecule with the ID 'XYZ123' in a public database, can you retrieve its sequence in 'genbank' format? Also, include 5 base pairs upstream the DNA sequence. Lastly, calculate the power of 2 raised to 5, but this time with a modulus of 3."

Available functions:
name: fetch_DNA_sequence
description: Retrieve the sequence of a DNA molecule with the given id from a public database.
parameters: type: dict
properties: DNA_id: type: string
description: Unique ID of the DNA molecule in the database.
format: type: string
description: Optional parameter to get sequence in specific format (default to 'fasta').
upstream: type: integer
description: Optional parameter to include certain number of base pairs upstream the DNA sequence (default to 0).
required: DNA_id
name: probabilities.calculate_single
description: Calculate the probability of an event.
parameters: type: dict
properties: total_outcomes: type: integer
description: The total number of outcomes.
event_outcomes: type: integer
description: The number of outcomes where the event occurs.
round: type: integer
description: Round the answer to a specified number of decimal places. Defaults to 2.
required: total_outcomes
event_outcomes
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: integer
description: The modulus. Default is 1. Calculates pow(base, exponent) % mod when provided.
required: base
exponent
user: "Could you please help me with the following tasks? First, I have two groups of data points: group1 consists of [12, 15, 18, 22, 25] and group2 consists of [20, 23, 26, 29, 32]. I want to run a two-sample t-test on these groups with the assumption that they have equal variance. Second, I'm currently in Boston, MA and I'm craving for some Sushi. Could you find the closest sushi restaurant that has a Patio and Wi-Fi? Lastly, I've recently taken up painting as a hobby and I'm curious about the common personality traits associated with it. Could you retrieve the top 5 personality traits of people who enjoy painting?"

Available functions:
name: run_two_sample_ttest
description: Runs a two sample t-test for two given data groups.
parameters: type: dict
properties: group1: type: array
items: type: integer
description: First group of data points.
group2: type: array
items: type: integer
description: Second group of data points.
equal_variance: type: boolean
description: Assumption about whether the two samples have equal variance.
default: yes
required: group1
group2
name: restaurant_search.find_closest
description: Locate the closest sushi restaurant based on certain criteria, such as the presence of a patio.
parameters: type: dict
properties: location: type: string
description: The city, for instance Boston, MA
cuisine: type: string
description: Type of food like Sushi.
amenities: type: array
items: type: string
enum: Patio
Wi-Fi
Happy Hour
Wheelchair Accessible
description: Preferred amenities in the restaurant. Default is none if not specified.
required: location
cuisine
name: get_personality_traits
description: Retrieve the common personality traits of people based on their hobbies or activities.
parameters: type: dict
properties: hobby: type: string
description: The hobby or activity of interest.
trait_count: type: integer
description: The number of top traits to return, default is 5
required: hobby
user: "Could you help me with a few calculations and searches? First, I'd like to calculate the area of a triangle with a base of 15 meters and a height of 20 meters, and I'd like the result in square meters. Then, I have two datasets that I'd like to compare statistically. The first dataset consists of the numbers 12, 15, 18, 20, 22, and 25, and the second dataset consists of the numbers 14, 16, 19, 21, 23, and 26. I'd like to perform a t-test with a significance level of 0.05. After that, I'm interested in finding upcoming rock concerts in Los Angeles, CA for the next 14 days. Lastly, I'd like to calculate the area of another triangle, this time with a base of 10 meters and a height of 30 meters, and again, I'd like the result in square meters."

Available functions:
name: t_test
description: Perform a statistical t-test to check if the means of two independent datasets are statistically different.
parameters: type: dict
properties: dataset_A: type: array
items: type: integer
description: Dataset A for comparison.
dataset_B: type: array
items: type: integer
description: Dataset B for comparison.
alpha: type: float
description: Significance level for the test. Default is 0.05.
required: dataset_A
dataset_B
name: geometry.area_triangle
description: Calculate the area of a triangle.
parameters: type: dict
properties: base: type: integer
description: The length of the base of the triangle.
height: type: integer
description: The height of the triangle from the base.
unit: type: string
description: The measurement unit for the area. Defaults to square meters.
required: base
height
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
user: "Could you help me with a few tasks? First, I'm interested in a company's financials. I'd like to know the quarterly dividend per share for a company that has a total dividend payout of $1,000,000 and 500,000 outstanding shares. Second, I'm a big fan of the Beatles and I'd like to know the lyrics of their song 'Hey Jude'. Third, I'm planning to watch a movie tonight and I'm considering 'The Godfather'. Could you provide a brief about this movie and also include additional information like Director, Cast, Awards etc.? Lastly, I'm doing a painting and I'd like to mix the colors red and blue, and I want the resulting color to have a lightness level of 70%."

Available functions:
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: mix_paint_color
description: Combine two primary paint colors and adjust the resulting color's lightness level.
parameters: type: dict
properties: color1: type: string
description: The first primary color to be mixed.
color2: type: string
description: The second primary color to be mixed.
lightness: type: integer
description: The desired lightness level of the resulting color in percentage. The default level is set to 50.
required: color1
color2
name: finance.calculate_quarterly_dividend_per_share
description: Calculate quarterly dividend per share for a company given total dividend payout and outstanding shares
parameters: type: dict
properties: total_payout: type: integer
description: The total amount of dividends paid out in USD
outstanding_shares: type: integer
description: Total number of outstanding shares
required: total_payout
outstanding_shares
name: movie_details.brief
description: This function retrieves a brief about a specified movie.
parameters: type: dict
properties: title: type: string
description: Title of the movie
extra_info: type: boolean
description: Option to get additional information like Director, Cast, Awards etc.
default: no
required: title
user: "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?"

Available functions:
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
user: "Can you help me with two tasks? First, I want to calculate the compound interest on an investment I made. I invested $5000 with an annual interest rate of 5%. The interest is compounded quarterly and I plan to keep the money invested for 7 years. Secondly, I heard some rumors about a company named 'Tech Corp' and I want to check if there were any lawsuits filed against them in 'San Francisco' in the year 2018. Can you find this information for me?"

Available functions:
name: lawsuits_search
description: Search for lawsuits against a specific company within a specific time and location.
parameters: type: dict
properties: company_name: type: string
description: The name of the company.
location: type: string
description: The location where the lawsuit was filed.
year: type: integer
description: The year when the lawsuit was filed.
case_type: type: string
description: The type of the case. Options include: 'civil', 'criminal', 'small_claims', etc. If not specified, default to search for all types.
required: company_name
location
year
name: compound_interest
description: Calculate compound interest for a certain time period.
parameters: type: dict
properties: principal: type: integer
description: The initial amount of money that was invested or loaned out.
annual_rate: type: float
description: The interest rate for a year as a percentage.
compounding_freq: type: string
enum: monthly
quarterly
annually
description: The number of times that interest is compounded per unit period.
time_in_years: type: integer
description: The time the money is invested for in years.
required: principal
annual_rate
compounding_freq
time_in_years
user: "Can you help me with a few calculations? First, I'm curious about the current classical chess rating of a player named Magnus Carlsen. Second, I have a quadratic equation that I'm struggling with, it's 2x² - 3x + 1 = 0, could you find the roots for me? Lastly, I made an investment 5 years ago. The initial value was $5000 and now it's worth $8000. Could you calculate the Compound Annual Growth Rate (CAGR) for me?"

Available functions:
name: calculate_cagr
description: Calculate the Compound Annual Growth Rate (CAGR) given an initial investment value, a final investment value, and the number of years.
parameters: type: dict
properties: initial_value: type: integer
description: The initial investment value.
final_value: type: integer
description: The final investment value.
period_in_years: type: integer
description: The period of the investment in years.
required: initial_value
final_value
period_in_years
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: solve_quadratic
description: Find the roots of a quadratic equation. Returns both roots.
parameters: type: dict
properties: a: type: integer
description: Coefficient of x².
b: type: integer
description: Coefficient of x.
c: type: integer
description: Constant term.
required: a
b
c
user: "Imagine you are planning your finances and you want to calculate the future value of your investments. You have an initial investment of $5000, an annual rate of return of 7%, and you plan to invest for 10 years. Additionally, you will be making regular contributions of $200. After calculating the future value, you want to visualize your annual returns over the past 10 years. The returns are as follows: [7, 8, 9, 6, 7, 8, 10, 9, 8, 7] and you want to create a histogram with 5 bins to better understand the distribution of returns. Later, you decide to take a break and engage in some art. You want to mix two primary paint colors, blue and yellow, and adjust the resulting color's lightness level to 70%. Can you calculate the future value of your investment, create the histogram, and mix the paint colors accordingly?"

Available functions:
name: create_histogram
description: Create a histogram based on provided data.
parameters: type: dict
properties: data: type: array
items: type: integer
description: The data for which histogram needs to be plotted.
bins: type: integer
description: The number of equal-width bins in the range. Default is 10.
required: data
bins
name: mix_paint_color
description: Combine two primary paint colors and adjust the resulting color's lightness level.
parameters: type: dict
properties: color1: type: string
description: The first primary color to be mixed.
color2: type: string
description: The second primary color to be mixed.
lightness: type: integer
description: The desired lightness level of the resulting color in percentage. The default level is set to 50.
required: color1
color2
name: finance.calculate_future_value
description: Calculate the future value of an investment given an initial investment, annual rate of return, and a time frame.
parameters: type: dict
properties: initial_investment: type: integer
description: The initial investment amount.
rate_of_return: type: float
description: The annual rate of return.
years: type: integer
description: The time frame of the investment in years.
contribution: type: integer
description: Optional: Additional regular contributions. Default is 0.
required: initial_investment
rate_of_return
years
user: "John is planning to invest in a mutual fund. He has $5000 to start with and the fund he is interested in has an annual yield rate of 7%. He plans to keep his money in the fund for 10 years. After 10 years, he wants to use part of his investment returns to build a circular garden in his backyard. The radius of the garden will be 5 meters. Can you help him calculate how much money he will have in his mutual fund after 10 years and what will be the area of his circular garden?"

Available functions:
name: geometry.calculate_area_circle
description: Calculate the area of a circle given its radius.
parameters: type: dict
properties: radius: type: integer
description: The radius of the circle.
unit: type: string
description: The measurement unit of the radius (optional parameter, default is 'units').
required: radius
name: calculate_mutual_fund_balance
description: Calculate the final balance of a mutual fund investment based on the total initial investment, annual yield rate and the time period.
parameters: type: dict
properties: investment_amount: type: integer
description: The initial total amount invested in the fund.
annual_yield: type: float
description: The annual yield rate of the fund.
years: type: integer
description: The period of time for the fund to mature.
required: investment_amount
annual_yield
years
user: "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?"

Available functions:
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
user: "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?"

Available functions:
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
user: "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."

Available functions:
name: calculate_stock_return
description: Calculate the projected return of a stock investment given the investment amount, the annual growth rate and holding period in years.
parameters: type: dict
properties: investment_amount: type: integer
description: The amount of money to invest.
annual_growth_rate: type: float
description: The expected annual growth rate of the stock.
holding_period: type: integer
description: The number of years you intend to hold the stock.
dividends: type: boolean
description: Optional. True if the calculation should take into account potential dividends. Default is false.
required: investment_amount
annual_growth_rate
holding_period
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
user: "In the game 'Animal Crossing' during the 'Summer' season, can you find out what types of 'fish' are collectable? After that, can you tell me the highest score achieved by any player in the game 'Fortnite' on 'Playstation' platform in the 'Asia' region? Then, I would like to know the details of lawsuits involving the company 'Apple Inc.' in the year 2018. Lastly, could you calculate the binomial probability for 10 trials, with 3 successes and a probability of success of 0.7 on an individual trial?"

Available functions:
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. This is an optional parameter. Default is all if not specified.
required: company_name
year
name: calculate_binomial_probability
description: Calculates the binomial probability given the number of trials, successes and the probability of success on an individual trial.
parameters: type: dict
properties: number_of_trials: type: integer
description: The total number of trials.
number_of_successes: type: integer
description: The desired number of successful outcomes.
probability_of_success: type: float
description: The probability of a successful outcome on any given trial.
default: 0.5
required: number_of_trials
number_of_successes
name: game_score.highest
description: Retrieve the highest score achieved by any player in a specific game.
parameters: type: dict
properties: game: type: string
description: The name of the online game.
platform: type: string
description: The platform where the game is played, e.g. PC, Xbox, Playstation
region: type: string
description: The geographic region of the player. Defaults to 'Global'
required: game
platform
name: get_collectables_in_season
description: Retrieve a list of collectable items in a specific game during a specified season.
parameters: type: dict
properties: game_name: type: string
description: Name of the game.
season: type: string
description: The season for which to retrieve the collectable items.
item_type: type: string
description: The type of item to search for. Default is 'all'. Possible values: 'all', 'bug', 'fish', 'sea creatures', etc.
required: game_name
season
user: "Could you help me with a two-part request? First, I'd like to know if there were any lawsuits filed against the company 'TechCorp' in the location 'San Francisco' in the year 2018, specifically civil cases. Secondly, I'm planning a trip and need to check the availability of Hilton hotels in 'New York City' for the check-in date '2022-10-15' and check-out date '2022-10-20' for 2 adults. Could you assist me with these?"

Available functions:
name: hilton_hotel.check_availability
description: Check hotel availability for a specific location and time frame.
parameters: type: dict
properties: location: type: string
description: The city where you want to check hotel availability.
check_in_date: type: string
description: The check-in date in the format YYYY-MM-DD.
check_out_date: type: string
description: The check-out date in the format YYYY-MM-DD.
no_of_adults: type: integer
description: The number of adults for the hotel booking.
hotel_chain: type: string
description: The hotel chain where you want to book the hotel.
default: Hilton
required: location
check_in_date
check_out_date
no_of_adults
name: lawsuits_search
description: Search for lawsuits against a specific company within a specific time and location.
parameters: type: dict
properties: company_name: type: string
description: The name of the company.
location: type: string
description: The location where the lawsuit was filed.
year: type: integer
description: The year when the lawsuit was filed.
case_type: type: string
description: The type of the case. Options include: 'civil', 'criminal', 'small_claims', etc. If not specified, default to search for all types.
required: company_name
location
year
user: "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."

Available functions:
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: no
description: Indicates if individual player statistics should be included in the result. Default is false.
required: team_name
league
user: "Imagine you are playing a role-playing game and you want to create a new player profile. You decided to name your character 'DragonSlayer' and choose 'Warrior' as your class. You also want to start at level 5. After setting up your profile, you want to take a break and find a nearby concert to attend. You are currently in 'New York, NY' and you want to find a concert that plays 'Rock' music. Later in the evening, you decide to play a game of poker with a standard deck of 52 cards and a hand size of 5. What is the probability of getting a full house? The next day, you decide to go on a hike and you want to calculate the slope gradient between two geographical coordinates. The first point is [40.7128, -74.0060] (New York, NY) and the second point is [34.0522, -118.2437] (Los Angeles, CA). You want the slope gradient in 'degree'. Can you provide the information for all these scenarios?"

Available functions:
name: poker_probability.full_house
description: Calculate the probability of getting a full house in a poker game.
parameters: type: dict
properties: deck_size: type: integer
description: The size of the deck. Default is 52.
hand_size: type: integer
description: The size of the hand. Default is 5.
required: deck_size
hand_size
name: calculate_slope_gradient
description: Calculate the slope gradient between two geographical coordinates.
parameters: type: dict
properties: point1: type: array
items: type: float
description: The geographic coordinates for the first point [Latitude, Longitude].
point2: type: array
items: type: float
description: The geographic coordinates for the second point [Latitude, Longitude].
unit: type: string
enum: degree
percent
ratio
description: The unit for the slope gradient. Default is 'degree'.
required: point1
point2
name: concert.find_nearby
description: Locate nearby concerts based on specific criteria like genre.
parameters: type: dict
properties: location: type: string
description: The city and state, e.g. Seattle, WA
genre: type: string
description: Genre of music to be played at the concert.
required: location
genre
name: create_player_profile
description: Create a new player profile with character name, class and starting level.
parameters: type: dict
properties: player_name: type: string
description: The desired name of the player.
class_type: type: string
description: The character class for the player. Default ''
starting_level: type: integer
description: The starting level for the player
default: 1
required: player_name
class_type
user: "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?"

Available functions:
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
user: "Can you help me with the following tasks? First, I want to find the closest high-rated grocery stores from my location at '123 Main Street, New York' that have 'milk', 'bread', and 'eggs' in stock. The store should have a minimum rating of 4.5. Second, I am interested in knowing more about the sculpture titled 'The Thinker' made by the artist 'Auguste Rodin'. I specifically want to know about its 'material'. Lastly, I drove my car, which uses 'diesel' as fuel and has a fuel efficiency of 25 miles per gallon, for a total distance of 12000 miles last year. Can you calculate the annual carbon dioxide emissions produced by my vehicle? Also, consider a 2% decrease in fuel efficiency per year."

Available functions:
name: grocery_store.find_best
description: Find the closest high-rated grocery stores based on certain product availability.
parameters: type: dict
properties: my_location: type: string
description: The current location of the user.
rating: type: float
description: The minimum required store rating. Default is 5.0.
products: type: array
items: type: string
description: Required products in a list.
required: my_location
products
name: calculate_emissions
description: Calculates the annual carbon dioxide emissions produced by a vehicle based on the distance traveled, the fuel type and the fuel efficiency of the vehicle.
parameters: type: dict
properties: distance: type: integer
description: The distance travelled in miles.
fuel_type: type: string
description: Type of fuel used by the vehicle.
fuel_efficiency: type: integer
description: The vehicle's fuel efficiency in miles per gallon.
efficiency_reduction: type: integer
description: The percentage decrease in fuel efficiency per year (optional). Default is 0
required: distance
fuel_type
fuel_efficiency
name: sculpture.get_details
description: Retrieve details of a sculpture based on the artist and the title of the sculpture.
parameters: type: dict
properties: artist: type: string
description: The artist who made the sculpture.
title: type: string
description: The title of the sculpture.
detail: type: string
description: The specific detail wanted about the sculpture. Default is 'general information'.
required: artist
title