license: cc-by-4.0
tags:
- geospatial
- hotels
- housing
size_categories:
- 10K<n<100K
dataset_info:
- config_name: weekdays
features:
- name: _id
dtype: string
- name: city
dtype: string
- name: realSum
dtype: float64
- name: room_type
dtype: string
- name: room_shared
dtype: bool
- name: room_private
dtype: bool
- name: person_capacity
dtype: float64
- name: host_is_superhost
dtype: bool
- name: multi
dtype: int64
- name: biz
dtype: int64
- name: cleanliness_rating
dtype: float64
- name: guest_satisfaction_overall
dtype: float64
- name: bedrooms
dtype: int64
- name: dist
dtype: float64
- name: metro_dist
dtype: float64
- name: attr_index
dtype: float64
- name: attr_index_norm
dtype: float64
- name: rest_index
dtype: float64
- name: rest_index_norm
dtype: float64
- name: lng
dtype: float64
- name: lat
dtype: float64
splits:
- name: train
num_bytes: 3998764
num_examples: 25500
download_size: 5303928
dataset_size: 3998764
- config_name: weekends
features:
- name: _id
dtype: string
- name: city
dtype: string
- name: realSum
dtype: float64
- name: room_type
dtype: string
- name: room_shared
dtype: bool
- name: room_private
dtype: bool
- name: person_capacity
dtype: float64
- name: host_is_superhost
dtype: bool
- name: multi
dtype: int64
- name: biz
dtype: int64
- name: cleanliness_rating
dtype: float64
- name: guest_satisfaction_overall
dtype: float64
- name: bedrooms
dtype: int64
- name: dist
dtype: float64
- name: metro_dist
dtype: float64
- name: attr_index
dtype: float64
- name: attr_index_norm
dtype: float64
- name: rest_index
dtype: float64
- name: rest_index_norm
dtype: float64
- name: lng
dtype: float64
- name: lat
dtype: float64
splits:
- name: train
num_bytes: 4108612
num_examples: 26207
download_size: 5451150
dataset_size: 4108612
- config_name: all
features:
- name: _id
dtype: string
- name: city
dtype: string
- name: realSum
dtype: float64
- name: room_type
dtype: string
- name: room_shared
dtype: bool
- name: room_private
dtype: bool
- name: person_capacity
dtype: float64
- name: host_is_superhost
dtype: bool
- name: multi
dtype: int64
- name: biz
dtype: int64
- name: cleanliness_rating
dtype: float64
- name: guest_satisfaction_overall
dtype: float64
- name: bedrooms
dtype: int64
- name: dist
dtype: float64
- name: metro_dist
dtype: float64
- name: attr_index
dtype: float64
- name: attr_index_norm
dtype: float64
- name: rest_index
dtype: float64
- name: rest_index_norm
dtype: float64
- name: lng
dtype: float64
- name: lat
dtype: float64
- name: day_type
dtype: string
splits:
- name: train
num_bytes: 8738970
num_examples: 51707
download_size: 10755078
dataset_size: 8738970
Dataset Card for Dataset Name
Dataset Description
- Homepage: https://zenodo.org/record/4446043#.ZEV8d-zMI-R
- Paper: https://www.sciencedirect.com/science/article/pii/S0261517721000388
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
orweekends
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}
}