This paper introduces a collection of time-series anomaly detection datasets.

We release the largest preprocessed datasets for the Learning with Errors (LWE) problem

We introduce FOReCAst, a benchmark for evaluating both the prediction and confidence of models across diverse real-world forecasting tasks.