Update README.md

README.md

@@ -2037,6 +2037,49 @@ It contains pose, bounding box, and segmentation masks for a 9 objects organized
 
 ## Dataset Details
 
+### Subsets
+You can choose any specific scene with the following pattern: "{class}-{scene}-{clutter}-{lighting}". You can also use the wildcard "{}", to choose all available options.
+Choose from the following:
+
+CLASSES:
+  - battery_holder
+  - buckle_socket
+  - buckle_plug
+  - chew_toy_big
+  - cpsduck
+  - cpsglue_big
+  - group1 *consists of "cpsduck","battery_holder","chew_toy_big","cpsglue_big", "stapler"*
+  - group2 *consists of "buckle_plug","buckle_socket","nema17_holder","nema17_holder2"*
+  - nema_holder *consists of "nema17_holder", "nema17_holder2"*
+  - stapler
+
+SCENES:
+  - box
+  - array *only for group1 and group2, and only uncluttered*
+
+CLUTTER:
+  - cluttered
+  - uncluttered
+
+LIGHTING:
+  - diffuseRight
+  - diffuseLeft
+  - spotRight
+  - spotLeft
+  - dark
+  - normal
+
+
+Then you can load the dataset like this, for example all lighting conditions for the stapler in the box, with clutter
+```
+from datasets import load_dataset
+
+ds = load_dataset("LukasDb/dropjects_real", "stapler-box-cluttered-{}", streaming=True, trust_remote_code=True, split='test')
+for data in ds.with_format('tensorflow'):
+    rgb = data['rgb'] # tf.uint8 Tensor, (h,w,3)
+```
+
+
 ### Dataset Description
 
 - **Curated by:** [email protected]