Update README.md

README.md

@@ -30,7 +30,7 @@ Composed of real-world metrics data collected from Datadog, a leading observabil
 Note: the metrics comprising BOOM were generated from internal monitoring of pre-production environments, and **do not** include any customer data. 
 
 ![Dataset](intro_figure_boom.png)
-*<center>Figure 1: A- BOOM consists of data from various domains. B- Example series from three of the domains. From left to right, these series represent: sum of failed requests on a backend API, grouped by error type and source (Application); CPU limits on a multi-tenant service deployed on a Kubernetes cluster, grouped by tenant (Infrastructure); and sum of command executions on a Redis cache, grouped by command (Database). </center>*
+*<center>Figure 1: (A) BOOM consists of data from various domains. (B) Example series from three of the domains. From left to right, these series represent: sum of failed requests on a backend API, grouped by error type and source (Application); CPU limits on a multi-tenant service deployed on a Kubernetes cluster, grouped by tenant (Infrastructure); and sum of command executions on a Redis cache, grouped by command (Database). </center>*
 
 
 Boom consists of approximately 350 million time-series points across 32,887 variates. The dataset is split into 2,807 individual time series with one or multiple variates. Each represents a metric query extracted from user-generated dashboards, notebooks, and monitors.