Real-data, out-of-distribution generalization sets for the AnomalyXL time-series
anomaly task, from the paper TimeRLM: Recursive Language Models Are General Temporal
Reasoners.
Each row is a single, isolated anomaly (or a clean negative) spliced from a real
clinical recording and cast into the exact anomalyxl-precise classify_with_evidence
schema, so the timeseries_qa environment scores it unchanged. Because no synthetic
signal appears here, performance… See the full description on the dataset page:
https://huggingface.co/datasets/nz00shuuuu/anomalyxl-generalization.
