|
--- |
|
license: mit |
|
task_categories: |
|
- image-to-text |
|
- text-to-image |
|
language: |
|
- en |
|
pretty_name: simons ARC (abstraction & reasoning corpus) image version 67 |
|
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. |
|
|
|
# Version 37 |
|
|
|
Focus only on `rotate cw` and `rotate ccw`. All other operations have been disabled. |
|
image size 1-30. |
|
Using the same image and apply both `rotate cw` and `rotate ccw`. |
|
My hypothesis is that it will learn better to distinguish between the two rotation types. |
|
|
|
# Version 38 |
|
|
|
Argh, the validation loss was seriously bad on this one. |
|
|
|
I guess what happened is that `rotate cw` always was followed by `rotate ccw`, causing the model to be biased, always expecting the opposite transformation. |
|
Now I have suffled the entire dataset. So there are still 50% of each operation, in random order. |
|
|
|
Using the same image and apply both `rotate cw` and `rotate ccw`. |
|
I still think my hypothesis is sound, that it will learn better to distinguish between the two rotation types when it's the same image. |
|
|
|
Focus only on `rotate cw` and `rotate ccw`. All other operations have been disabled. |
|
image size 1-30. |
|
|
|
# Version 39 |
|
|
|
The validation loss is not improving. |
|
|
|
I'm going back to small image sizes. |
|
|
|
Focus only on `rotate cw` and `rotate ccw`. All other operations have been disabled. |
|
image size 1-10. |
|
|
|
This helped on the validation loss. Yay. |
|
|
|
# Version 40 |
|
|
|
Focus only on `rotate cw` and `rotate ccw`. All other operations have been disabled. |
|
image size 1-13. |
|
|
|
# Version 41 |
|
|
|
Focus only on `rotate cw` and `rotate ccw`. All other operations have been disabled. |
|
image size 1-16. |
|
|
|
# Version 42 |
|
|
|
Focus only on `rotate cw` and `rotate ccw`. All other operations have been disabled. |
|
image size 1-19. |
|
|
|
Jumping to image size 19 was a bit too optimistic, causing a terrible validation loss. So I have to go with a lower image size. |
|
|
|
# Version 43 |
|
|
|
Focus only on `rotate cw` and `rotate ccw`. All other operations have been disabled. |
|
image size 1-17. |
|
|
|
# Version 44 |
|
|
|
Focus only on `rotate cw` and `rotate ccw`. All other operations have been disabled. |
|
image size 1-18. |
|
|
|
# Version 45 |
|
|
|
Focus only on `rotate cw` and `rotate ccw`. All other operations have been disabled. |
|
image size 1-19. |
|
|
|
# Version 46 |
|
|
|
Focus only on `rotate cw` and `rotate ccw`. All other operations have been disabled. |
|
image size 1-20. |
|
This is something that the LLM struggles with. I'm going to make a dataset with another random seed, with the same size 1-20, to see if it improves or worsens. |
|
|
|
# Version 47 |
|
|
|
Focus only on `rotate cw` and `rotate ccw`. All other operations have been disabled. |
|
image size 1-20. Same size as in previous version. |
|
|
|
# Version 48 |
|
|
|
Focus only on `rotate cw` and `rotate ccw`. All other operations have been disabled. |
|
image size 1-21. |
|
This is something that the LLM struggles with. I'm going to make a dataset with another random seed, with the same size 1-21, to see if it improves or worsens. |
|
|
|
# Version 49 |
|
|
|
Focus only on `rotate cw` and `rotate ccw`. All other operations have been disabled. |
|
image size 1-21. Same size as in previous version. |
|
This is something that the LLM struggles with. Not improving. |
|
|
|
# Version 50 |
|
|
|
Focus only on `get_row_as_list` and `get_column_as_list`. All other operations have been disabled. |
|
The `get_column_as_list` is related to rotating the image. |
|
image size 1-21. |
|
This was first time the LLM tried this, so terrible validation loss. I'm going to try smaller images. |
|
|
|
# Version 51 |
|
|
|
Focus only on `get_row_as_list` and `get_column_as_list`. All other operations have been disabled. |
|
The `get_column_as_list` is related to rotating the image. |
|
image size 1-5. |
|
Excellent validation loss. |
|
|
|
# Version 52 |
|
|
|
Focus only on `get_row_as_list` and `get_column_as_list` and `rotate cw` and `rotate ccw`. All other operations have been disabled. |
|
image size 1-10. |
|
No problems for the LLM to learn that. I'm not going to train it to the end. |
|
|
|
# Version 53 |
|
|
|
Focus only on `get_row_as_list` and `get_column_as_list` and `rotate cw` and `rotate ccw`. All other operations have been disabled. |
|
image size 1-15. |
|
|
|
# Version 54 |
|
|
|
Focus only on `get_row_as_list` and `get_column_as_list` and `rotate cw` and `rotate ccw`. All other operations have been disabled. |
|
image size 1-20. |
|
|
|
# Version 55 |
|
|
|
Focus only on `rotate cw` and `rotate ccw` and `get_column_as_list`. All other operations have been disabled. |
|
The `get_column_as_list` is related to rotating the image. |
|
image size 1-22. |
|
|
|
# Version 56 |
|
|
|
Focus only on `rotate cw` and `rotate ccw` and `get_column_as_list`. All other operations have been disabled. |
|
The `get_column_as_list` is related to rotating the image. |
|
image size 1-23. |
|
This is something that the LLM struggles with. Not improving. |
|
|
|
# Version 57 |
|
|
|
Focus only on `rotate cw` and `rotate ccw` and `get_column_as_list`. All other operations have been disabled. |
|
The `get_column_as_list` is related to rotating the image. |
|
image size 1-24. |
|
This is something that the LLM struggles with. Not improving. |
|
|
|
# Version 58 |
|
|
|
Focus only on `rotate cw` and `rotate ccw` and `get_column_as_list`. All other operations have been disabled. |
|
The `get_column_as_list` is related to rotating the image. |
|
image size 1-30. |
|
This is something that the LLM struggles with. Not improving. |
|
|
|
# Version 59 |
|
|
|
Focus only on `rotate cw` and `rotate ccw` and `get_column_as_list`. All other operations have been disabled. |
|
The `get_column_as_list` is related to rotating the image. |
|
image size 1-25. |
|
|
|
# Version 60 |
|
|
|
Focus only on `rotate cw` and `rotate ccw` and `get_column_as_list`. All other operations have been disabled. |
|
The `get_column_as_list` is related to rotating the image. |
|
image size 1-20. |
|
The model is good at this. I'm going to try with a bigger size. |
|
|
|
# Version 61 |
|
|
|
Focus only on `rotate cw` and `rotate ccw` and `get_column_as_list`. All other operations have been disabled. |
|
The `get_column_as_list` is related to rotating the image. |
|
image size 1-22. |
|
|
|
# Version 62 |
|
|
|
Focus only on `rotate cw` and `rotate ccw` and `get_column_as_list`. All other operations have been disabled. |
|
The `get_column_as_list` is related to rotating the image. |
|
image size 1-22. Training on same size again. |
|
|
|
# Version 63 |
|
|
|
Focus only on `rotate cw` and `rotate ccw` and `get_column_as_list`. All other operations have been disabled. |
|
The `get_column_as_list` is related to rotating the image. |
|
image size 1-22. Training on same size again. |
|
Slowly improving the validation loss. |
|
|
|
# Version 64 |
|
|
|
Focus only on `rotate cw` and `rotate ccw` and `get_column_as_list`. All other operations have been disabled. |
|
The `get_column_as_list` is related to rotating the image. |
|
image size 1-21. |
|
|
|
# Version 65 |
|
|
|
Focus only on `rotate cw` and `rotate ccw` and `get_column_as_list`. All other operations have been disabled. |
|
The `get_column_as_list` is related to rotating the image. |
|
image size 1-21. |
|
Using different images. |
|
|
|
# Version 66 |
|
|
|
Same weight to all the transformations. |
|
image size 1-21. |
|
|
|
# Version 67 |
|
|
|
Focus only on `rotate cw` and `rotate ccw` and `get_column_as_list`. All other operations have been disabled. |
|
The `get_column_as_list` is related to rotating the image. |
|
image size 1-21. |
|
Using different images. |
|
|
