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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: mit
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+ task_categories:
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+ - image-to-text
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+ - text-to-image
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+ language:
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+ - en
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+ pretty_name: simons ARC (abstraction & reasoning corpus) lab imagepair version 14
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+ size_categories:
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+ - 10K<n<100K
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: data.jsonl
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+ ---
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+
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+ # Version 1
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+
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+ Image-size 1-10.
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+ Compare histograms between 2 images.
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+
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+ # Version 2
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+
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+ Image-size 1-20.
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+ Histogram.remove_other_colors() exclude colors between two histograms.
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+ These bigger images are causing problems for the model to learn.
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+
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+ # Version 3
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+
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+ Smaller image sizes: width 1-20. height 1-5.
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+ This is training much better.
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+
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+ # Version 4
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+
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+ Smaller image sizes: width 1-5. height 1-20.
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+
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+ # Version 5
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+
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+ Slightly bigger image sizes: width 1-10. height 1-20.
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+
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+ # Version 6
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+
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+ Slightly bigger image sizes: width 1-15. height 10-30.
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+ This was too hard for the LLM to learn.
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+
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+ # Version 7
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+
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+ Slightly smaller image sizes: width 1-15. height 10-20.
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+
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+ # Version 8
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+
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+ image size 10-20.
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+ This was too hard for the LLM to learn.
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+
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+ # Version 9
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+
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+ image width 1-20.
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+ image height 1-5.
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+ This was easy for the LLM to learn.
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+
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+ # Version 10
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+
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+ I want to try just adding 1 more row to the height, and see how that impacts the training loss.
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+
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+ image width 1-20.
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+ image height 1-6.
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+
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+ Training with that extra row, it was easy for the LLM to learn.
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+
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+ # Version 11
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+
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+ I want to try just adding 1 more row to the height, and see how that impacts the training loss.
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+
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+ image width 1-20.
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+ image height 1-7.
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+
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+ Training with that extra row, it was easy for the LLM to learn.
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+
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+ # Version 12
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+
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+ I want to try just adding 1 more row to the height, and see how that impacts the training loss.
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+
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+ image width 1-20.
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+ image height 1-8.
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+
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+ Training with that extra row, it was easy for the LLM to learn.
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+
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+ # Version 13
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+
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+ I want to try just adding 1 more row to the height, and see how that impacts the training loss.
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+
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+ image width 1-20.
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+ image height 1-9.
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+
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+ Training with that extra row, it was took quite some time for the LLM to learn.
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+
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+ # Version 14
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+
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+ I want to try just adding 1 more row to the height, and see how that impacts the training loss.
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+
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+ image width 1-20.
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+ image height 1-10.
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+
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+ Added a `benchmark` column to the dataset.