Hugging Face's logo

Datasets:
abadesalex
/
Frappe-mobile-app-usage

Languages:
English
Size Categories:
10K<n<100K
License:
Dataset card Files Community
Dataset Viewer
Viewer
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    ValueError
Message:      Couldn't infer the same data file format for all splits. Got {NamedSplit('train'): (None, {}), NamedSplit('test'): ('csv', {})}
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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 347, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1879, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1854, in dataset_module_factory
                  return HubDatasetModuleFactoryWithoutScript(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1245, in get_module
                  module_name, default_builder_kwargs = infer_module_for_data_files(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 593, in infer_module_for_data_files
                  raise ValueError(f"Couldn't infer the same data file format for all splits. Got {split_modules}")
              ValueError: Couldn't infer the same data file format for all splits. Got {NamedSplit('train'): (None, {}), NamedSplit('test'): ('csv', {})}

Need help to make the dataset viewer work? Open a discussion for direct support.

Dataset Description: Frappe Processed Dataset

The Frappe dataset has been processed to refine the quality of user-item interactions by removing entries where either users or items had fewer than 5 interactions. This pruning resulted in a significant reduction in the dataset size:

  • Number of Users: 651 (a reduction of 31.97% from the original dataset)
  • Number of Items: 1127 (a reduction of 72.39%)
  • Total Number of Interactions: 84,373 (a reduction of 12.30%)

Columns Overview: The dataset includes 24 columns that capture a variety of features, structured as follows:

  • Basic Features:

    • user: User identifier
    • item: Item identifier
    • rating: Rating given by the user
    • cnt: Count of interactions

  • Time of Day Features (Encoded as one-hot):

    • daytime_afternoon
    • daytime_evening
    • daytime_morning
    • daytime_night
    • daytime_noon
    • daytime_sunrise
    • daytime_sunset

  • Weather Conditions (Encoded as one-hot):

    • weather_cloudy
    • weather_drizzle
    • weather_foggy
    • weather_rainy
    • weather_snowy
    • weather_stormy
    • weather_sunny
    • weather_unknown

  • Weekend Indicator:

    • isweekend_weekend
    • isweekend_workday

  • Location of Use (Home or Work):

    • homework_home
    • homework_unknown
    • homework_work

This dataset is designed for use in building Context-Aware Recommender Systems (CARS), offering rich features that capture temporal dynamics, environmental conditions, and user contexts, which are critical for personalized recommendations.

Any scientific publications that use this data set should cite the following paper as the reference: @Article{frappe15, title={Frappe: Understanding the Usage and Perception of Mobile App Recommendations In-The-Wild}, author = {Linas Baltrunas, Karen Church, Alexandros Karatzoglou, Nuria Oliver}, date={2015}, urldate={2015-05-12}, eprinttype={arxiv}, eprint={arXiv:1505.03014} }

Nobody guarantees the correctness of the data, its suitability for any particular purpose, or the validity of results based on the use of the data set. The data set may be used for any research purposes under the following conditions:

  • The user must acknowledge the use of the data set in publications resulting from the use of the data set.
  • The user may not redistribute the data without separate permission.
  • The user may not try to deanonymise the data.
  • The user may not use this information for any commercial or revenue-bearing purposes without first obtaining permission from us.

In no event anyone involved in frappe project be liable to you for any damages arising out of the use or inability to use the associated scripts (including but not limited to loss of data or data being rendered inaccurate).

Downloads last month
0
Edit dataset card