kernel-synth
kernel_synth_annotated
KernelSynth (annotated)
One million synthetic univariate time series, each 1024 points long, drawn from a Gaussian
process prior whose kernel is a random composition of up to five base kernels. This is the
KernelSynth procedure from Chronos with one addition:
the generating kernel is kept alongside each series. The ground-truth structure behind
every series is therefore known, which makes the corpus usable for interpretability work
rather than only for pretraining.… See the full description on the dataset page: https://huggingface.co/datasets/felixdivo/kernel_synth_annotated.corn-kernel-synthetic-dataset-3000