Update README.md

README.md

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-SolarBench is an initiative focused on reducing barriers for researchers and practitioners to access large environmental datasets for advancing solar energy forecasting and related fields.
+SolarBench is an initiative focused on reducing barriers for researchers and practitioners to access large environmental datasets for advancing solar energy forecasting and related fields.
+
+This repo contains multiple data modalities and is structured as follow:
+
+- `ground_full`: Ground-based sensor data including **sky images**, a variety of **meteorological measurements**, and labels for solar forecasting tasks, namely different **solar irradiance** components (i.e., GHI, DHI, and DNI) or **power generation** from solar panels.
+- `ground_no_skycams`: A lite version of `ground_full` by excluding **sky images**. Useful for fast analysis and training non-vision models or performing ablation studies.
+- `satellite`: Geostationary satellite imagery including GOES, Himawari, MSG.
+- `weather_forecasts`: Numerical weather predictions (e.g., GFS).
+- `climate_reanalysis`: Retrospective climate reanalysis datasets (e.g., ERA5).
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+These data can be easily accessed and made into use through the machine learning toolbox we developed. For more details, check it out here: