BOOM

Dataset Card for BOOM (Benchmark of Observability Metrics) Dataset Summary BOOM (Benchmark of Observability Metrics) is a large-scale, real-world time series dataset designed for evaluating models on forecasting tasks in complex observability environments. Composed of real-world metrics data collected from Datadog, a leading observability platform, the benchmark captures the irregularity, structural complexity, and heavy-tailed statistics typical of production… See the full description on the dataset page:

Source: Hugging Face Hub (Datadog/BOOM). Metadata imported from the dataset’s Hub tags.