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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 19 |
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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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# Version 1 |
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Measure the mass of objects for `pixel connectivity 4` and `pixel connectivity 8`. |
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image size: 1-10. |
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max_mass: 4. |
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# Version 2 |
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image size: 1-20. |
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max_mass: 5. |
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This converged too slowly. I was too optimistic. I will have to proceed slower. |
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# Version 3 |
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image size: 1-12. |
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max_mass: 5. |
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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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# Version 4 |
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image size: 1-15. |
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max_mass: 2. |
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The validation loss for this is fine. I'm increasing the `max_mass`. |
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# Version 5 |
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image size: 1-20. |
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max_mass: 3. |
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# Version 6 |
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image size: 1-25. |
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max_mass: 4. |
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# Version 7 |
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image size: 1-30. |
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max_mass: 2. |
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# Version 8 |
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image size: 1-30. |
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max_mass: 7. |
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# Version 9 |
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image size: 1-30. |
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max_mass: 8. |
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# Version 10 |
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image size: 1-30. |
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max_mass: 9. |
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# Version 11 |
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image size: 1-30. |
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max_mass: 10. |
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# Version 12 |
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image size: 1-30. |
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max_mass: 11. |
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# Version 13 |
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image size: 1-30. |
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max_mass: 15. |
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# Version 14 |
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image size: 1-30. |
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max_mass: 20. |
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# Version 15 |
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image size: 1-30. |
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max_mass: 25. |
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# Version 16 |
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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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# Version 17 |
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image size: 1-15. |
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max_mass: 10. |
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# Version 18 |
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Added mulple new `PixelConnectivity` modes: `LR2`, `TB2`, `TLBR2`, `TRBL2`, so it can identify line structures. |
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image size: 1-10. |
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max_mass: 5. |
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# Version 19 |
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image size: 1-15. |
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max_mass: 10. |
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