We're making the Warpcast spam dataset public. 

Over 400,000 accounts have been processed by our model, which determines the accounts that are most likely to generate inauthentic content or unwanted notifications.

We're making the Warpcast spam dataset public. 

Over 400,000 accounts have been processed by our model, which determines the accounts that are most likely to generate inauthentic content or unwanted notifications. 

https://github.com/warpcast/labels

Developers can use this to protect their apps from spammy users. 

Spam labels are provided as a JSONL file which follows the FIP: Labels specification (still in review). 

Data will be updated weekly with the latest labels.

Technowatermelon. Elder Millenial. Building Farcaster. 

nf.td/varun

While we've taken a lot of care to correct mistakes, its possible that a small number of legitimate accounts are misclassified. 

If you notice this, please reply to this thread or DM me. We will use these reports to improve the model.

Clinical Social Worker.
Art with heart.
Love, serve, and be joyful, for life is already an incredibly brief moment.

@priyasai has been mislabelled as a spam account. Can confirm she’s a real person and a kind one at that.

helping build farcaster | surfing @ venice, ca | eating @ gjusta / gjelina | “lucky me, lucky mud”

Co-founder @theburrow | 
Photographer | CA | Runner | Macro data refiner

https://linktr.ee/bombaymalayali

Thank you, Anand! I'm going to throw a hail Mary here and tag @ted also just in case she is able to help 🙏. I really love it here but that has been a dampener for sure.