---
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: 17325706917.0
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](https://arxiv.org/abs/2410.02780) and the code is available at this [repository](https://github.com/LuigiSigillo/GWIT).

The dataset is constructed to be used in controlnet scenarios.



Original paper  of the dataset is here [here](https://link.springer.com/article/10.1007/s00779-017-1083-4)

Original EEG data from [here](https://drive.google.com/file/d/1atP9CsjWIT-hg3fX--fcC1hg0uvg9bEH/view?usp=drive_link)

Original images used to train the models from [here](https://drive.google.com/file/d/1x32IulYeBVmkshEKweijMX3DK1Wu8odx/view?usp=drive_link)