Add load in Spark code example

README.md

@@ -7,7 +7,15 @@ With Foursquare’s Open Source Places, you can access free data to accelerate g
 
 ## Prerequisites
 
-In order to access Foursquare's Open Source Places data, you will need to download the following files:
+In order to access Foursquare's Open Source Places data, it is recommended to use Spark. Here is how to load the Places data in Spark from Hugging Face.
+
+- For Spark 3, you can use the `read_parquet` helper function from the [HF Spark documentation](https://huggingface.co/docs/hub/datasets-spark). It provides an easy API to load a Spark Dataframe from Hugging Face, without having to download the full dataset locally:
+  ```python
+  places = read_parquet("hf://datasets/foursquare/fsq-os-places/release/dt=*/places/parquet/*.parquet")
+  ```
+- For Spark 4, there will be an official Hugging Face Spark data source available.
+
+Alternatively you can download the following files to your local disk or cluster:
 
 - Parquet Files:
   - **Places** - [release/dt=2024-12-03/places/parquet](https://huggingface.co/datasets/foursquare/fsq-os-places/tree/main/release/dt%3D2024-12-03/places/parquet)