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The dataset viewer is not available for this dataset.
Cannot get the config names for the 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.py

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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 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).

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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