Adding small lines for embeddings.

README.md

@@ -47,6 +47,8 @@ The image files are all hosted in the AWS S3 bucket `pd12m`. The URLs to the ima
 
 [Downloading Images](./tutorials/images.md)
 
+[Working with the Embeddings](./tutorials/embeddings.md)
+
 # License
 The dataset is licensed under the [CDLA-Permissive-2.0](https://cdla.dev/permissive-2-0/).
 

tutorials/embeddings.md

@@ -0,0 +1,20 @@
+# Working with the embeddings
+The embeddings are available as numpy files, where each row is a 768-dimension floating point embedding. Each row is associated with it's matching index in the metadata files.
+
+#### Open an embedding file
+The files are in numpy format, and can be opened with `numpy` in Python. 
+```python
+import numpy as np
+embeddings = np.load('pd12m.01.npy')
+```
+
+#### Join Embeddings to Metadata
+If you already have the metadata files loaded with pandas, you can join the embeddings to the dataframe  simply.
+```python
+df["embeddings"] = embeddings.tolist()
+```
+Alternatively, you could use a 0-based index to access both the metadata and associated embedding.
+```python
+i = 300
+metadata = df.iloc[i]
+embedding = embeddings[i]