"A linear regression model trained on biological activations and actual scores (middle panel) indicated a significant correlation (Pearson r=0.575, p< 0.001, df = 29)."
arxiv.org/pdf/2211.15963
"A linear regression model trained on biological activations and actual scores (middle panel) indicated a significant correlation (Pearson r=0.575, p< 0.001, df = 29)."
arxiv.org/pdf/2211.15963
Getting more on the main set, it's already at 7+ million. There is a surprisingly good amount of quality data.
There will be more curation/variations but won't post more about it unless I manage a billion.
huggingface.co/datasets/Ror...
Getting more on the main set, it's already at 7+ million. There is a surprisingly good amount of quality data.
There will be more curation/variations but won't post more about it unless I manage a billion.
huggingface.co/datasets/Ror...
Here is the dataset of the 3 million items saved while i wait for support & new data being scraped. This is already being automated so it shouldn't take too long.
huggingface.co/datasets/Ror...
Here is the dataset of the 3 million items saved while i wait for support & new data being scraped. This is already being automated so it shouldn't take too long.
huggingface.co/datasets/Ror...
This dataset has been collected using Bluesky's API, and I hope it will be useful for all the researchers out there!
Many don't hold this to heart and are faux contrarians, true cognitive dissonance.
A archetype of this is: why do [good idea] when [large company] can do it better?
Because it doesn't matter who.
Many don't hold this to heart and are faux contrarians, true cognitive dissonance.
A archetype of this is: why do [good idea] when [large company] can do it better?
Because it doesn't matter who.
> gets a bunch of likes
> gets a bunch of likes
> but dey can have big booba or catgirl ears
> who needs people anyways?
> but dey can have big booba or catgirl ears
> who needs people anyways?