Datasets:

Modalities:
Tabular
Text
Formats:
parquet
Libraries:
Datasets
Dask
License:
foursquarelabsadmin lhoestq HF staff commited on
Commit
c50d71f
1 Parent(s): 85ed96d

Add load in Spark code example (#2)

Browse files

- Add load in Spark code example (93609d7b0c06ff2f21d0b0c0fa1390337e87e6f1)


Co-authored-by: Quentin Lhoest <[email protected]>

Files changed (1) hide show
  1. README.md +9 -1
README.md CHANGED
@@ -12,7 +12,15 @@ With Foursquare’s Open Source Places, you can access free data to accelerate g
12
 
13
  ## Prerequisites
14
 
15
- In order to access Foursquare's Open Source Places data, you will need to download the following files:
 
 
 
 
 
 
 
 
16
 
17
  - Parquet Files:
18
  - **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)
 
12
 
13
  ## Prerequisites
14
 
15
+ 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.
16
+
17
+ - 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:
18
+ ```python
19
+ places = read_parquet("hf://datasets/foursquare/fsq-os-places/release/dt=*/places/parquet/*.parquet")
20
+ ```
21
+ - For Spark 4, there will be an official Hugging Face Spark data source available.
22
+
23
+ Alternatively you can download the following files to your local disk or cluster:
24
 
25
  - Parquet Files:
26
  - **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)