Update README.md

README.md

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----
-license: mit
----
+---
+license: mit
+task_categories:
+- image-to-text
+- text-to-image
+language:
+- en
+pretty_name: simons ARC (abstraction & reasoning corpus) solve fractal version 8
+size_categories:
+- 1K<n<10K
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data.jsonl
+---
+
+# Version 1
+
+ARC-AGI Tasks where the job is to transform fractal input/output images.
+
+example count: 2-4.
+
+test count: 1-2.
+
+image size: 2-3.
+
+# Version 2
+
+Scale up the input/output images. Scale factor: 1-3.
+
+# Version 3
+
+Scale up the input/output images. Scale factor: 1-3.
+
+Randomly invert the pattern_image.
+
+# Version 4
+
+Random add padding around the input image, that the model has to crop.
+
+max_pad_count = 5.
+
+# Version 5
+
+Bigger images
+
+max_image_size = 5
+
+max_pad_count = 8
+
+# Version 6
+
+Migrating from fitting inside 512 context length to fitting inside 1024 context length. Removing tasks that are too long to fit inside the context length.
+
+Bigger scale factor: 1-5.
+
+# Version 7
+
+Earlier predictions added to some of the rows.
+
+Ignoring fractals that RLE compress too badly. Previous cutoff was 1000 tokens. Now it's 800 tokens, so there is room for the earlier prediction.
+
+# Version 8
+
+Added fields: `arc_task`, `test_index`, `earlier_output`.