1 dataset found
  1. Restaurants (Entity Resolution)

    • kaggle.com
    zip
    Updated May 21, 2023
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    Adrian Evensen (2023). Restaurants (Entity Resolution) [Dataset]. https://www.kaggle.com/datasets/adrianevensen/restaurants-entity-resolution/data
    Explore at:
    zip(21048 bytes)Available download formats
    Dataset updated
    May 21, 2023
    Authors
    Adrian Evensen
    Description

    Disclaimer:

    I am not the owner of this dataset. My sole intention is to make the dataset easily available to enthusiasts who are curious about Entity Resolution. Here is the original source of the dataset. The dataset is also available through a R package, from which I downloaded it.

    Description

    The restaurant dataset is created with the help of 864 restaurant records from two different data sources (Fodor’s and Zagat’s restaurant guides) provided by Sheila Tejada. Restaurants are described by name, address, city, phone and category. Among these, 112 record pairs refer to the same entity present in the dataset.

    Data characteristic

    Size & targets

    • 864 records
    • 112 matches

    Data Attributes

    • name: Name of restaurant.
    • address: Address of restaurant.
    • city: In what city the restaurant is located.
    • phone: Restaurant's phone number.
    • category: Category of cuisines served at restaurant.
    • cluster: Entity cluster id.
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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Adrian Evensen (2023). Restaurants (Entity Resolution) [Dataset]. https://www.kaggle.com/datasets/adrianevensen/restaurants-entity-resolution/data
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Restaurants (Entity Resolution)

Simple benchmark dataset for Entity Resolution

Explore at:
zip(21048 bytes)Available download formats
Dataset updated
May 21, 2023
Authors
Adrian Evensen
Description

Disclaimer:

I am not the owner of this dataset. My sole intention is to make the dataset easily available to enthusiasts who are curious about Entity Resolution. Here is the original source of the dataset. The dataset is also available through a R package, from which I downloaded it.

Description

The restaurant dataset is created with the help of 864 restaurant records from two different data sources (Fodor’s and Zagat’s restaurant guides) provided by Sheila Tejada. Restaurants are described by name, address, city, phone and category. Among these, 112 record pairs refer to the same entity present in the dataset.

Data characteristic

Size & targets

  • 864 records
  • 112 matches

Data Attributes

  • name: Name of restaurant.
  • address: Address of restaurant.
  • city: In what city the restaurant is located.
  • phone: Restaurant's phone number.
  • category: Category of cuisines served at restaurant.
  • cluster: Entity cluster id.
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