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README.md

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 # Machine Learning Tier
 
-This dataset is a collection of synthetic microlensing light curves designed to accurately represent the yields of microlensing events from the lifetime of the Nancy Grace Roman Space Telescope Galactic Bulge Time Domain Survey. It is intended for the training and benchmarking of machine learning models for microlensing event classification, parameter estimation, and anomaly detection.
+This dataset is a collection of synthetic microlensing light curves from the Nancy Grace Roman Space Telescope Galactic Bulge Time Domain Survey. It is intended for the training and benchmarking of machine learning models for microlensing event classification, parameter estimation, and anomaly detection.
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+The raw distribution of event properties is not representative of what Roman will see, but should span a statistically larger set of events. More representative samples can be drawn using the `final_weight` column, which is roughly proportional to rate at which events occur relative to others in their class.
 
 The machine learning tier data is provided as a set of normalized tables in Parquet format: **RMDC26_ML_Data_obs.parquet**, **RMDC26_ML_Data_meta.parquet**, and **RMDC26_ML_Data_epoch.parquet**.