Update README.md

README.md

@@ -23,7 +23,7 @@ license: apache-2.0
 
 ## Dataset Summary
 
-The **BOOM Benchmark** is a large-scale, real-world time series dataset designed for evaluating models on **forecasting** and **anomaly detection** tasks in complex observability environments. Collected from a high-volume telemetry system, the benchmark captures the irregularity, structural complexity, and heavy-tailed statistics typical of production observability data. Unlike synthetic or curated benchmarks, BOOM reflects the full diversity and unpredictability of operational signals observed in distributed systems, covering infrastructure, networking, databases, security, and application-level metrics.
+The **BOOM Benchmark** is a large-scale, real-world time series dataset designed for evaluating models on **forecasting** tasks in complex observability environments. Collected from a high-volume telemetry system, the benchmark captures the irregularity, structural complexity, and heavy-tailed statistics typical of production observability data. Unlike synthetic or curated benchmarks, BOOM reflects the full diversity and unpredictability of operational signals observed in distributed systems, covering infrastructure, networking, databases, security, and application-level metrics.
 
 ![Dataset](intro_figure_boom.png)
 *<center>Figure 1: (a) Boom is comprised of observability time series data with distinct semantic categories corresponding to various temporal patterns; percentages indicate proportion of each category in Boom.