openml.study.list_studies

openml.study.list_studies(offset: int | None = None, size: int | None = None, status: str | None = None, uploader: List[str] | None = None, benchmark_suite: int | None = None, output_format: str = 'dict') Dict | DataFrame

Return a list of all studies which are on OpenML.

Parameters:
offsetint, optional

The number of studies to skip, starting from the first.

sizeint, optional

The maximum number of studies to show.

statusstr, optional

Should be {active, in_preparation, deactivated, all}. By default active studies are returned.

uploaderlist (int), optional

Result filter. Will only return studies created by these users.

benchmark_suiteint, optional
output_format: str, optional (default=’dict’)

The parameter decides the format of the output. - If ‘dict’ the output is a dict of dict - If ‘dataframe’ the output is a pandas DataFrame

Returns:
datasetsdict of dicts, or dataframe
  • If output_format=’dict’

    Every dataset is represented by a dictionary containing the following information: - id - alias (optional) - name - benchmark_suite (optional) - status - creator - creation_date If qualities are calculated for the dataset, some of these are also returned.

  • If output_format=’dataframe’

    Every dataset is represented by a dictionary containing the following information: - id - alias (optional) - name - benchmark_suite (optional) - status - creator - creation_date If qualities are calculated for the dataset, some of these are also returned.