Datasets:
Update README.md
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README.md
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license: mit
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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) combined datasets version 13
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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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A combination of multiple datasets.
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Datasets: `dataset_solve_color.jsonl`, `dataset_solve_rotate.jsonl`, `dataset_solve_translate.jsonl`.
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# Version 2
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Datasets: `dataset_solve_color.jsonl`, `dataset_solve_rotate.jsonl`, `dataset_solve_translate.jsonl`.
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# Version 3
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Datasets: `dataset_solve_color.jsonl`, `dataset_solve_rotate.jsonl`, `dataset_solve_translate.jsonl`.
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# Version 4
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Added a shared dataset name for all these datasets: `SIMON-SOLVE-V1`. There may be higher version numbers in the future.
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My hypothesis: Having a version number in the dataset name, it may be easier to unlearn incorrect training data.
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Datasets: `dataset_solve_color.jsonl`, `dataset_solve_rotate.jsonl`, `dataset_solve_translate.jsonl`.
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# Version 5
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Different random seed.
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# Version 6
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Using `SIMON-SOLVE-V1` everywhere. Remove the `SIMON-SOLVE-COLOR`, `SIMON-SOLVE-ROTATE`, `SIMON-SOLVE-TRANSLATE`.
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# Version 7
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Using `SIMON-SOLVE-V1` everywhere.
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# Version 8
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Same settings. Different seed as usual.
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# Version 9
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Switching from context length 256 to context length 512.
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Increasing the image sizes so the prompt length stays below 512.
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`dataset_solve_color`, image size: 1-13.
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`dataset_solve_rotate`, image size: 1-9.
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`dataset_solve_translate`, image size: 3-9.
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# Version 10
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Same settings. Different seed as usual.
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# Version 11
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Same settings. Different seed as usual.
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# Version 12
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Added 1 more pair to the examples. Now it's 2-4 examples. Previously it was 2-3 examples.
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# Version 13
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Same settings. Different seed as usual.
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