pymovements.datasets.judo1000.JuDo1000

class pymovements.datasets.judo1000.JuDo1000(**kwargs)

JuDo1000 dataset [Makowski et al., 2020].

This dataset includes binocular eye tracking data from 150 participants in four sessions with an interval of at least one week between two sessions. Eye movements are recorded at a sampling frequency of 1000 Hz using an EyeLink Portable Duo video-based eye tracker and are provided as pixel coordinates. Participants are instructed to watch a random jumping dot on a computer screen.

Check the respective repository <’https://osf.io/download/4wy7s/’> for details.

__init__(**kwargs)

Initialize the dataset object.

Parameters

• root (str, Path) – Path to the root directory of the dataset.

• experiment (Experiment) – The experiment definition.

• filename_regex (str) – Regular expression which needs to be matched before trying to read the file. Named groups will appear in the fileinfo dataframe.

• filename_regex_dtypes (dict[str, type], optional) – If named groups are present in the filename_regex, this makes it possible to cast specific named groups to a particular datatype.

• custom_read_kwargs (dict[str, Any], optional) – If specified, these keyword arguments will be passed to the file reading function.

Methods

__init__(**kwargs)	Initialize the dataset object.
download([remove_finished])	Download dataset.
pix2deg([verbose])	Compute gaze positions in degrees of visual angle from pixel coordinates.
pos2vel([method, verbose])	Compute gaze velocites in dva/s from dva coordinates.
read()	Parse file information and read all gaze files.
read_fileinfo()	Parse file information from filepaths and filenames.
read_gaze_files()	Read all available gaze data files.

Attributes

dirpath	Get the path to the dataset directory.
raw_dirpath	Get the path to the directory of the raw data.