Update README.md

README.md

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   data_files:
   - split: train
     path: Dataset_V0.0/Synthetic-Energy-Load-Profiles/Hourly/SynD/*.parquet
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+---
+
+
+# EnergyBench Dataset
+
+A open-source large-scale energy meter dataset designed to support a variety of energy analytics applications, including load profile analysis, and load forecasting.
+It compiles over 60 detailed electricity consumption datasets encompassing approximately **78,000** real buildings representing the global building stock, offering insights into the temporal and spatial variations in energy consumption. 
+The buildings are classified into two categories: **Commercial**, which includes **2,900** buildings, and **Residential**, which includes **75,100** buildings, with a total of 65,000 building-days of time-series data. 
+These buildings span diverse geographies, climatic zones, and operational profiles, providing a broad spectrum of usage patterns.
+
+All processed datasets contain hourly data, with some offering additional 15-minute and 30-minute resolution. To ensure efficient storage, we saved the datasets in Parquet format rather than CSV. 
+For datasets involving a large number of buildings, we partitioned the data into multiple Parquet files.
+
+Metadata of each datasets are provided in [metadata](https://huggingface.co/datasets/ai-iot/EnergyBench/tree/main/Dataset_V0.0/metadata).
+
+Table 1: Summary of EnergBench dataset
+| Category    | # Datasets | # Buildings | # Days | # Hourly Obs |
+|-------------|-------------|--------------|---------|--------|
+| Commercial  | 20          | 2,916        | 16,706  | 62M    |
+| Residential | 47          | 75,121       | 43,852  | 1.2B   |