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---
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)
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