{
  "dataset_name": "LEMON_extraversion",
  "display_name": "MPI-LEMON-extraversion",
  "task": "Biometrics",
  "task_description": "Extraversion classification derived from MPI-LEMON.",
  "reference_url": "https://doi.org/10.1038/sdata.2018.308",
  "citation_text": "Babayan et al. A mind-brain-body dataset of MRI, EEG, cognition, emotion, and peripheral physiology in young and old adults. Scientific Data, 2019.",
  "n_subjects": 203,
  "n_samples_total": 45042,
  "split_counts": {
    "train": 6480,
    "val": 18828,
    "test": 19734
  },
  "channel_count": 64,
  "channel_names": [],
  "sampling_rate_hz": 200,
  "window_length_seconds": 1.0,
  "timepoints_per_sample": 200,
  "label_vocab": {
    "0": {
      "name": "introversion"
    },
    "1": {
      "name": "extraversion"
    }
  },
  "source_root": null,
  "preprocessing": "Signals were processed as follows: source format set; target sampling rate 200.0 Hz; window length 1.0 seconds; band-pass filter 0.3–75.0 Hz; notch filter 50.0 Hz."
}