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image
imagewidth (px) 224
224
| conditioning_image
array 2D | caption
stringclasses 4
values | eeg_no_resample
array 2D | label
int32 0
3
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int32 0
23
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|---|---|---|---|---|---|
[[0.7012389302253723,0.9251349568367004,0.996878445148468,0.9763063192367554,0.9341191053390503,0.91(...TRUNCATED) | image of a Apple | [[0.9937775731086731,0.994256317615509,0.9897092580795288,0.9791792035102844,0.9703242182731628,0.96(...TRUNCATED) | 0 | 0 |
|
[[0.6836830377578735,0.905362606048584,0.9765087366104126,0.9563286304473877,0.9147791266441345,0.89(...TRUNCATED) | image of a Apple | [[0.9756802320480347,0.9797735810279846,0.9814591407775879,0.98531174659729,0.9889236092567444,0.990(...TRUNCATED) | 0 | 0 |
|
[[0.6962940692901611,0.919508159160614,0.9909971356391907,0.9704274535179138,0.9282986521720886,0.91(...TRUNCATED) | image of a Apple | [[0.9724354147911072,0.9707574844360352,0.9635668396949768,0.9568552374839783,0.9630873799324036,0.9(...TRUNCATED) | 0 | 0 |
|
[[0.6990741491317749,0.9227814674377441,0.9945699572563171,0.9741784930229187,0.932192325592041,0.91(...TRUNCATED) | image of a Apple | [[0.990363597869873,0.9910863637924194,0.9857866168022156,0.9939772486686707,0.990363597869873,0.988(...TRUNCATED) | 0 | 0 |
|
[[0.686455488204956,0.9081469774246216,0.9788839817047119,0.9580240249633789,0.915701150894165,0.897(...TRUNCATED) | image of a Apple | [[0.971397876739502,0.9637706875801086,0.968299150466919,0.9702059626579285,0.9659157991409302,0.968(...TRUNCATED) | 0 | 0 |
|
[[0.7004029154777527,0.9239842891693115,0.995394766330719,0.974479079246521,0.9319462180137634,0.913(...TRUNCATED) | image of a Apple | [[0.9848393797874451,0.9814702868461609,0.9906148314476013,0.9860425591468811,0.9802671074867249,0.9(...TRUNCATED) | 0 | 0 |
|
[[0.6986591815948486,0.9222425818443298,0.9939178228378296,0.9734273552894592,0.9313586950302124,0.9(...TRUNCATED) | image of a Apple | [[0.9841631650924683,0.9853630661964417,0.9808039665222168,0.9736053347587585,0.9714457988739014,0.9(...TRUNCATED) | 0 | 1 |
|
[[0.699134886264801,0.9225639700889587,0.9939346313476562,0.9730348587036133,0.9305081367492676,0.91(...TRUNCATED) | image of a Apple | [[0.9862717986106873,0.9788055419921875,0.9780829548835754,0.9857900142669678,0.9872351884841919,0.9(...TRUNCATED) | 0 | 0 |
|
[[0.7041523456573486,0.9283137321472168,1.0,0.9791625738143921,0.9366379976272583,0.9182363152503967(...TRUNCATED) | image of a Apple | [[0.9966270327568054,0.9908446669578552,0.9896398186683655,0.994217574596405,0.9884352087974548,0.99(...TRUNCATED) | 0 | 1 |
|
[[0.6949979066848755,0.9181689620018005,0.9897969365119934,0.9694889783859253,0.927672803401947,0.90(...TRUNCATED) | image of a Apple | [[0.9775093197822571,0.9830123782157898,0.9873191714286804,0.9851656556129456,0.9846872687339783,0.9(...TRUNCATED) | 0 | 0 |
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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
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