Datasets:
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README.md
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license: mit
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pretty_name: ARC bad
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task_categories:
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- image-to-image
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size_categories:
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- en
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# ARC Bad
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Visualization of bad predictions: [ARC-AGI training](https://neoneye.github.io/simon-arc-lab-web/model/2024-oct-17-1318/arcagi_training/), [ARC-AGI evaluation](https://neoneye.github.io/simon-arc-lab-web/model/2024-oct-17-1318/arcagi_evaluation/).
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The color values 0-9 are the same as the ARC-AGI colors. Color values outside this range sometimes occur, when a solver failed to predict that pixel.
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The `dataset` and `task` correspond to a file found in the [arc-dataset-collection](https://github.com/neoneye/arc-dataset-collection) repo.
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A few puzzles have multiple versions, these are suffixed with `_v2` and `_v3`.
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---
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license: mit
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pretty_name: ARC bad prediction
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task_categories:
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- image-to-image
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size_categories:
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- en
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---
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# ARC Bad Prediction
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Visualization of bad predictions: [ARC-AGI training](https://neoneye.github.io/simon-arc-lab-web/model/2024-oct-17-1318/arcagi_training/), [ARC-AGI evaluation](https://neoneye.github.io/simon-arc-lab-web/model/2024-oct-17-1318/arcagi_evaluation/).
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The color values 0-9 are the same as the ARC-AGI colors. Color values outside this range sometimes occur, when a solver failed to predict that pixel.
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The `dataset` and `task` correspond to a file found in the [arc-dataset-collection](https://github.com/neoneye/arc-dataset-collection) repo.
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A few puzzles have multiple versions, these are suffixed with `_v2` and `_v3`.
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## Python loader
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Code for loading of this dataset.
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[arc_bad_prediction.py](https://github.com/neoneye/simon-arc-lab/blob/main/simon_arc_model/arc_bad_prediction.py)
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