NagaYu/flashback-forensics

Flashback Forensics Labelled telemetry from training runs that were deliberately broken at a known step. Every row is a few hundred bytes of per-step summary statistics; the label is the step at which the fault was actually injected. The point of the dataset: to make "how early can you tell a run went wrong?" a measurable question instead of an anecdote. Contents config rows one row is steps 21,600 one training step of one run: 128 sketch metrics +… See the full description on the dataset page: https://huggingface.co/datasets/NagaYu/flashback-forensics.