TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis

TelecomTS has been introduced as a large-scale observability dataset derived from a 5G telecommunications network, addressing the underrepresentation of observability data in public benchmarks. This dataset features heterogeneous, de-anonymized covariates with explicit absolute scale information, enabling various downstream tasks such as anomaly detection and root cause analysis.

The development of TelecomTS is significant as it provides researchers and enterprises with a robust resource for analyzing complex systems, potentially improving the accuracy of anomaly detection and enhancing multi-modal reasoning capabilities in telecommunications.