conceptedit12m
for ML researchers, data scientists
Why this scored 10
every term, weightedIts fastest-moving item, measured against the pace of its own source
Whether that velocity is itself speeding up, as a per-hour rate
How many independent communities its own items come from
Decays to zero over 14 days, counted from when we first saw it
Subtracted once something is big and old — sized by its biggest item, aged from when we first saw it
Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On an entity's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology
Signal history
7-day window (free)The evidence
The live items this entity's score aggregates — every community independently talking about it right now. This is the corroboration, shown, not claimed.
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A Date Is Never Just a Date: From West Bengal's Panjika to a Bengali Calendar Library for Java 21
12 M instruction-based image-edit dataset supports training multimodal editing models. · for computer vision researchers, ML engineers
devtoSteady 2 · conceptedit12mdata48d ago - 21
inclusionAI/ConceptEdit-12M (dataset)
Large instruction-based image-editing dataset supports multimodal model training. · for ML researchers, data scientists
huggingfaceSteadydata−11 saturated48d ago