AI RESEARCH
TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis
arXiv CS.LG
•
ArXi:2510.06063v2 Announce Type: replace-cross Modern enterprises generate vast streams of time series metrics when monitoring complex systems, known as observability data. Unlike conventional time series from domains such as climate, observability data are zero-inflated, highly stochastic, and exhibit minimal temporal structure. Despite their importance, observability datasets remain underrepresented in public benchmarks due to