Update README.

README.md

@@ -31,3 +31,18 @@ configs:
   - split: test
     path: data/test-*
 ---
+
+## Arrow Pointing Extrapolation
+
+This dataset contains the exact images used for the extrapolation experiments in [pLSTM](https://arxiv.org/abs/2506.11997).
+It is a synthetic dataset of arrows pointing to circles and should measure how well an image model can learn the classification 
+'if the arrow points to the circle' at small (192x192) scales and extrapolate/generalize (without previous resizing of the image input) 
+to larger scales (384x384).
+
+Note that for the correct validation and test extrapolation subsets, you have to filter for the larger images:
+```
+from datasets import load_dataset
+ds = load_dataset('ml-jku/arrow_pointing_extrapolation')
+ds_val_ext = ds['validation'].filter(lambda sample: sample['image'].size == (384, 384))
+ds_test_ext = ds['test'].filter(lambda sample: sample['image'].size == (384, 384))
+```