| | --- |
| | 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} |
| | } |
| | ``` |
| | |
