Update README.md

README.md

@@ -1,3 +1,212 @@
----
-license: mit
----
+---
+license: mit
+task_categories:
+- image-to-text
+- text-to-image
+language:
+- en
+pretty_name: simons ARC (abstraction & reasoning corpus) image version 36
+size_categories:
+- 10K<n<100K
+configs:
+  - config_name: default
+    data_files:
+      - split: train
+        path: data.jsonl
+---
+
+# Version 1
+
+Have dataset items that are somewhat evenly of each type. The LLM learned some of the types fine. However rotated images are causing problems.
+The image sizes are between 1 and 10 pixels.
+
+# Version 2
+
+Here the majority of dataset items are rotated images. Since this is what my LLM is struggling with.
+Smaller images. Here the image sizes are between 1 and 5 pixels.
+This helped a lot on the validation loss.
+
+# Version 3
+
+Main focus is now on `count_same_color_as_center_with_8neighbors_nowrap` and image size 1-6.
+Which the LLM has struggeld with in the past, maybe due to too big image sizes.
+Struggles somewhat with the `count_same_color_as_center_with_8neighbors_nowrap`.
+
+# Version 4
+
+I'm trying smaller images again. Here the image sizes are between 1 and 5 pixels.
+Added `same_color_inside_3x3_area_nowrap` that checks if all surrounding pixels agree on the same color, 
+maybe that have some synergy with the `count_same_color_as_center_with_8neighbors_nowrap`.
+It helped a little, but it's still not as good at counting neighbors as I would like.
+
+# Version 5
+
+I have added a `pixels_with_k_matching_neighbors` with a k parameter between 1-8.
+This may help improve on counting the number of neighboring pixels.
+The image size 1-6.
+This did indeed help on counting the number of surrounding pixels.
+
+# Version 6
+
+Same weight to all the transformations.
+Image size 1-11.
+
+# Version 7
+
+Focus on histogram and k-nearest neighbors. image size 1-12.
+It seems like the LLM has gotten the hang of it.
+
+# Version 8
+
+Focus on histogram and k-nearest neighbors. image size 5-20.
+
+# Version 9
+
+Focus on histogram and k-nearest neighbors. image size 10-30.
+
+# Version 10
+
+Same weight to all the transformations.
+image width 10-30. image height 2-5.
+
+# Version 11
+
+Same weight to all the transformations.
+image width 2-5. image height 10-30.
+
+# Version 12
+
+Focus on k-nearest neighbors.
+image width 2-5. image height 10-30.
+
+# Version 13
+
+Focus on `compres_x`, `compres_y`, `compres_xy`.
+image size is 1-10.
+
+# Version 14
+
+Focus on histograms and k-nearest-neighbors.
+image size 5-20.
+
+# Version 15
+
+Focus on histograms and k-nearest-neighbors.
+image size 10-30.
+
+# Version 16
+
+Focus on k-nearest-neighbors.
+image size 10-25.
+
+# Version 17
+
+Disabled k-nearest-neighbors, I suspect this is the reason why it converges so slowly.
+image size 15-30.
+
+# Version 18
+
+Disabled k-nearest-neighbors, and compression.
+image size 15-25.
+
+# Version 19
+
+Translate x/y by plus/minus 1.
+Disabled rotation and transpose.
+image size 22-30.
+
+# Version 20
+
+Focus on k-nearest-neighbors.
+image size 5-15.
+
+# Version 21
+
+Focus on k-nearest-neighbors.
+image size 8-18.
+
+# Version 22
+
+Same weight to all the transformations.
+image size 8-20.
+
+# Version 23
+
+Same weight to all the transformations.
+image size 5-30.
+
+The LLM is struggling learning this. I'm going to try with small images.
+
+# Version 24
+
+Focus on rotate cw, rotate ccw, transpose.
+image size 2-10.
+
+The LLM is struggling learning this. Despite being small images. I'm going to try with even small images.
+
+# Version 25
+
+Focus on rotate cw, rotate ccw, transpose.
+image size 2-5.
+
+The LLM is struggling learning this. Despite being small images. I'm going to try with even small images.
+
+# Version 26
+
+Focus on rotate cw, rotate ccw, transpose, k-nearest-neighbors. 
+image size 1-3.
+
+The LLM is struggling learning this. Despite being small images.
+
+# Version 27
+
+Focus on rotate cw, rotate ccw, transpose. 
+image size 1-4.
+
+The LLM is struggling learning this. Despite being small images.
+
+# Version 28
+
+Focus on rotate cw, rotate ccw, transpose. 
+image size 1-5.
+
+# Version 29
+
+Focus on rotate cw, rotate ccw, transpose. 
+image size 1-6.
+
+# Version 30
+
+Focus on rotate cw, rotate ccw, transpose. 
+image size 1-8.
+
+# Version 31
+
+Focus on rotate cw, rotate ccw, transpose. 
+image size 1-10.
+
+# Version 32
+
+Focus on rotate cw, rotate ccw, transpose. 
+image size 1-12.
+
+# Version 33
+
+Focus on rotate cw, rotate ccw, transpose. 
+image size 1-14.
+The `serialize` items were using fewer names to identify the dataset, now uses the same names as `deserialize`.
+
+# Version 34
+
+Focus only on `rotate cw`. All other operations have been disabled.
+image size 1-30.
+
+# Version 35
+
+Focus only on `rotate ccw`. All other operations have been disabled.
+image size 1-30.
+
+# Version 36
+
+Focus only on `rotate cw` and `rotate ccw`. All other operations have been disabled.
+image size 1-30.