kraina/airbnb

Dataset Card for Dataset Name

Dataset Summary

This dataset contains accommodation offers from the AirBnb platform from 10 European cities.
It has been copied from https://zenodo.org/record/4446043#.ZEV8d-zMI-R to make it available as a Huggingface Dataset.
It was originally published as supplementary material for the article: Determinants of Airbnb prices in European cities: A spatial econometrics approach
(DOI: https://doi.org/10.1016/j.tourman.2021.104319)

Dataset Structure

Data Fields

The data fields contain all fields from the source dataset along with additional city field denoting the city of the offer. all split contains an additional field day_type denoting whether the offer is for weekdays or weekends.

• city: the city of the offer,
• realSum: the full price of accommodation for two people and two nights in EUR,
• room_type: the type of the accommodation,
• room_shared: dummy variable for shared rooms,
• room_private: dummy variable for private rooms,
• person_capacity: the maximum number of guests,
• host_is_superhost: dummy variable for superhost status,
• multi: dummy variable if the listing belongs to hosts with 2-4 offers,
• biz: dummy variable if the listing belongs to hosts with more than 4 offers,
• cleanliness_rating: cleanliness rating,
• guest_satisfaction_overall: overall rating of the listing,
• bedrooms: number of bedrooms (0 for studios),
• dist: distance from city centre in km,
• metro_dist: distance from nearest metro station in km,
• attr_index: attraction index of the listing location,
• attr_index_norm: normalised attraction index (0-100),
• rest_index: restaurant index of the listing location,
• attr_index_norm: normalised restaurant index (0-100),
• lng: longitude of the listing location,
• lat: latitude of the listing location,

all config contains additionally:

• day_type: either weekdays or weekends

Data Splits

name	train
weekdays	25500
weekends	26207
all	51707

Additional Information

Licensing Information

The data is released under the licensing scheme from the original authors - CC-BY-4.0 (source).

Citation Information

@dataset{gyodi_kristof_2021_4446043,
  author       = {Gyódi, Kristóf and
                  Nawaro, Łukasz},
  title        = {{Determinants of Airbnb prices in European cities: 
                   A spatial econometrics approach (Supplementary
                   Material)}},
  month        = jan,
  year         = 2021,
  note         = {{This research was supported by National Science 
                   Centre, Poland: Project number 2017/27/N/HS4/00951}},
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.4446043},
  url          = {https://doi.org/10.5281/zenodo.4446043}
}