size_categories:10K<n<100K license:cc-by-4.0 geospatial hotels housing region:us
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{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}
}
---
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 contains accommodation offers from the [AirBnb](https://airbnb.com/) platform from 10 European cities.  
It has been copied from [https://zenodo.org/record/4446043#.ZEV8d-zMI-R](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](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}
}
```
