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---
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](https://zenodo.org/record/4446043#.ZEV8d-zMI-R)
- **Paper:** [https://www.sciencedirect.com/science/article/pii/S0261517721000388](https://www.sciencedirect.com/science/article/pii/S0261517721000388)
### Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
## 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](https://zenodo.org/record/4446043#.ZEV8d-zMI-R)).
### 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}
}
```
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