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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) object mass version 17
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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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+ Measure the mass of objects for `pixel connectivity 4` and `pixel connectivity 8`.
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+
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+ image size: 1-10.
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+
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+ max_mass: 4.
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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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+
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+ max_mass: 5.
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+
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+ This converged too slowly. I was too optimistic. I will have to proceed slower.
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+
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+ # Version 3
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+
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+ image size: 1-12.
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+
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+ max_mass: 5.
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+
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+ Too big spikes in the training loss. I will have to lower the `max_mass`, and gradually increase it.
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+
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+ # Version 4
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+
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+ image size: 1-15.
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+
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+ max_mass: 2.
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+
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+ The validation loss for this is fine. I'm increasing the `max_mass`.
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+
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+ # Version 5
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+
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+ image size: 1-20.
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+
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+ max_mass: 3.
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+
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+ # Version 6
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+
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+ image size: 1-25.
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+
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+ max_mass: 4.
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+
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+ # Version 7
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+
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+ image size: 1-30.
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+
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+ max_mass: 2.
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+
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+ # Version 8
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+
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+ image size: 1-30.
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+
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+ max_mass: 7.
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+
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+ # Version 9
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+
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+ image size: 1-30.
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+
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+ max_mass: 8.
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+
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+ # Version 10
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+
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+ image size: 1-30.
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+
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+ max_mass: 9.
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+
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+ # Version 11
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+
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+ image size: 1-30.
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+ max_mass: 10.
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+
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+ # Version 12
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+
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+ image size: 1-30.
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+
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+ max_mass: 11.
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+
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+ # Version 13
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+
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+ image size: 1-30.
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+
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+ max_mass: 15.
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+
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+ # Version 14
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+
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+ image size: 1-30.
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+
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+ max_mass: 20.
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+
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+ # Version 15
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+
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+ image size: 1-30.
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+
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+ max_mass: 25.
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+
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+ # Version 16
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+
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+ Added `PixelConnectivity.CORNER4`, so it can identify diagonal structures.
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+ image size: 1-10.
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+ max_mass: 5.
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+
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+ # Version 17
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+
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+ image size: 1-15.
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+
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+ max_mass: 10.
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+