The complete dataset in a CSV file, including user id, user response, and item description. 1 interaction per line. First line gives column labels.
A column of all user responses. Each line corresponds to the same line in "samples".
AZ This dataset contains information about various government services, public facilities, and citizen feedback collected for enhancing e-governance.
AZ E-Government Services and Public Facilities
The CSV file contains address information including names, street addresses, city, state, and ZIP codes.
This dataset contains a collection of addresses, including names, street addresses, cities, states, and ZIP codes.
A CSV file containing a list of addresses with fields for first name, last name, street address, city, state, and postal code.
This resource includes identifiers, access codes, recovery codes, along with names, departments, and locations information.
This dataset contains address records with details such as names, streets, cities, states, and ZIP codes.
This dataset contains information related to user identification, access codes, recovery codes, and basic employee information such as names, departments, and locations. It encompasses login credentials and email data, providing a comprehensive overview of identity management within an organization.
This resource contains a CSV file with a list of addresses from different regions in the United States, including NJ, PA, SD, and CO.
A dataset providing detailed information about Northern Pike including identifying characteristics, dietary habits, and ecological impact within the Great Lakes region.
Monthly labor force data for Michigan from January 1976 to February 1986, including the number of individuals in the labor force.
This resource contains demographic and economic data of different countries covering aspects like population, area, GDP, literacy, and economic sector distribution.
This resource provides a mapping of usernames to user identifiers, including first and last names.
This dataset contains a list of addresses with fields such as name, street address, city, state, and postal code.
A CSV file containing a tabular dataset with columns labeled as column_a, column_b, column_c and rows filled with numerical values.
This dataset contains addresses with various details such as street, city, state, and ZIP code for individuals. It includes entries with unique formatting and special characters in names and addresses.
Binary responses (swipes) to being presented a single item (piece of clothing) in the Mallzee retail app (https://mallzee.com/). The anonymised dataset is comprised of the real responses of 200 users to 500 items (different for each user) as they were interacting with the Mallzee app. Items are specified by multivariate descriptions; specifically (with dataset labels in parentheses): - the price during the user interaction (CurrentPrice) - the discount from the original price in absolute value (DiscountFromOriginal) - monetary currency in which the price is displayed (Currency) - the type of clothing (TypeOfClothing) - the intended gender for the item (Gender) - whether the item was in stock at the time of interaction (InStock) - the brand of the item (Brand) - the colour of the item (Colour) "CurrentPrice" and "DiscountFromOriginal" are continuous variables. The value of -1 for "CurrentPrice" represents the lack of a set price during the interaction (rather than a missing value). "InStock" is binary with 2 indicating that the item is in stock, and 1 that it is absent. All other variables are categorical, with each category labelled by an integer, starting from "1". Users have been anonymised and are represented by a numerical id. User responses are represented by a binary variable, where 0 indicates rejection (swiping left), and 1 indicates acceptance (swiping right). Accepting an item saves it to a list of items for potential future purchase.
Mallzee SmartSociety binary responses multiattribute online retail preference elicitation
This dataset contains a simple structured table with three columns labelled as column_a, column_b, column_c, and several rows of numerical data.
Yearly population data for Michigan from 1990 to 2024, comparing both state and national populations, along with Michigan's national ranking position.
This dataset shows a time series of Michigan's labor force dating back to 1976. This dataset is refreshed monthly.
This dataset contains various data types including strings, integers, floats, booleans, dates, and complex types like lists and dictionaries. It demonstrates data handling for different columns and values.
This dataset provides the population statistics for Michigan and the United States from 1990 to 2024. It includes yearly population counts and ranking information for Michigan within the national context.
This dataset contains various data types including strings, integers, floats, booleans, dates, NoneType values, lists, and dictionaries. Each row represents a unique entry with diverse types of data, useful for testing data processing and type handling.
Extracted HTML content from the main page of Google, including meta tags and scripts.
A CSV file consisting of numerical data organized in three columns: column_a, column_b, and column_c.
Zip Code 23662 GIS dataset for the city of Poquoson, Virginia.
A collection of addresses across different regions in the United States, including New Jersey, Pennsylvania, South Dakota, and Colorado.
A CSV file with address information, including names, street addresses, cities, states, and ZIP codes.
All items rated by the users in the dataset. Each line contains the multivariate description of an item, corresponding to the same line in the file "userResponses".
A CSV dataset showcasing multiple data types: String, Integer, Float, Boolean, Date, and complex structures like List and Dict.
This resource contains usernames, one-time password details, recovery codes, and additional user information such as departments and locations.
A CSV file detailing monthly payroll job counts in Michigan and across the US from 1990 to 1994. It includes columns for calendar date, Michigan payroll jobs, US payroll jobs, ranking, and highlights.
A CSV file demonstrating various data types such as strings, integers, floats, booleans, dates, NoneType, lists, and dictionaries across different entries.
This CSV file includes address details like names, street addresses, cities, states, and ZIP codes.
This dataset contains numerical data organized in three columns labeled as column_a, column_b, and column_c. The data presents a pattern of increasing numbers across the rows.
This resource consists of login emails associated with user identifiers, including the first and last names of the users.
This dataset provides statistical data on various countries, including population, area, population density, coastline ratio, net migration, infant mortality, GDP per capita, literacy rate, phone usage per 1000, distribution of arable land, crop land, and other land, as well as climate, birth rate, death rate, and distribution of economic sectors.
A CSV file containing detailed information about Northern Pike, their identifying characteristics, dietary habits, ecological role, and images within the Great Lakes region.
HTML content from the Google homepage, displaying various meta tags and scripts typically used for search engine optimization and page functionality.
This dataset contains historical data on payroll jobs in Michigan and the United States from 1990 to 1994. It includes monthly records of payroll job counts along with the ranking and highlights for significant changes during this period.