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fmhuffma/airbnb

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Hugging Face2026-04-07 更新2026-04-12 收录
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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 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} } ```
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