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huggingfaceai

Specific-Labs/Scaffold-CoT (dataset)

Scaffold-CoT dataset provides chain-of-thought examples for training small language models.

Steady

4

signal score

as of 10h ago

Too early

trajectory — needs a few more snapshots

Why this scored 4

every term, weighted
Velocity+0.5 / 40 max

Engagement gained per hour since the last capture, against the fastest item on its own source

Acceleration+12.8 / 25 max

Whether that velocity is itself speeding up, as a per-hour rate

Cross-source spread+0.0 / 25 max

How many independent communities are talking about the same entity

Recency+0.0 / 10 max

Decays to zero over 14 days

Saturation penalty9.5 / 30 max

Subtracted once something is big and old — we rank what's next, not what's peaked

Composite3.8

Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On a topic'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)

Entities

specificlabs
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[![Signalcrest signal](https://www.signalcrest.app/api/badge/hf%3Ads%3ASpecific-Labs%2FScaffold-CoT)](https://www.signalcrest.app/topic/hf%3Ads%3ASpecific-Labs%2FScaffold-CoT)

Drop this in a README or blog post — it updates automatically as the score moves.