The dataset viewer is not available for this dataset.
Error code: ConfigNamesError
Exception: RuntimeError
Message: Dataset scripts are no longer supported, but found airbnb.py
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
config_names = get_dataset_config_names(
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
dataset_module = dataset_module_factory(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1207, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1167, in dataset_module_factory
raise RuntimeError(f"Dataset scripts are no longer supported, but found {filename}")
RuntimeError: Dataset scripts are no longer supported, but found airbnb.pyNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Dataset Card for Dataset Name
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
weekdaysorweekends
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 = {Gy贸di, Krist贸f and
Nawaro, 艁ukasz},
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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