README.md

metadata

dataset_info:
  features:
    - name: image
      dtype: image
    - name: conditioning_image
      dtype:
        array2_d:
          shape:
            - 128
            - 512
          dtype: float32
    - name: caption
      dtype: string
    - name: eeg_no_resample
      dtype:
        array2_d:
          shape:
            - 14
            - 32
          dtype: float32
    - name: label
      dtype: int32
    - name: subject
      dtype: int32
  splits:
    - name: test
      num_bytes: 1930227725.75
      num_examples: 5706
    - name: train
      num_bytes: 15395479191.25
      num_examples: 45390
  download_size: 13164877764
  dataset_size: 17325706917
configs:
  - config_name: default
    data_files:
      - split: test
        path: data/test-*
      - split: train
        path: data/train-*

ThoughtViz

This dataset is used in the paper "Guess What I Think: Streamlined EEG-to-Image Generation with Latent Diffusion Models" available on arxiv and the code is available at this repository.

The dataset is constructed to be used in controlnet scenarios.

Original paper of the dataset is here here

Original EEG data from here

Original images used to train the models from here