Show body Body This is the variant of
GPT-5.1 that you get on the web UI. It is unknown exactly how it correlates with the API.
Output constraints:
Input and output have the same size Supposing background is black, input and output contain the same number of objects of each color the lower right part of each object (non-diagonal ) does not movethe rest of each object outside the lower right part moves by 1 square to the right TODO : this one is quite challenging.
Hard input constraints:
inputs have two colors : green and black Hard output constraints:
output has three colors : black, green and yellow output has same size as input green is copied from input to outputoutput differs from input by making some black pixels yellow. Which pixels are becoming yellow? Hard input constraints:
inputs are 3x3 inputs contain only 2 colors monocolored: black and another Hard output constraints:
output is 3x input width and height . Suggests that the output is a 3x3 grid based on the input.stronger: if output is split as a 3x3 grid, then each 3x3 block is either black or a copy as input. Which is which?stronger: each pixel of the input determines if block is black or copy (final solution) output contains only two colors : black and another Input output comparison:
input appears pasted on output multiple times : suggests it is being copy pasted README says:
This repository presents code to procedurally generate examples for the ARC training tasks. For each of the 400 tasks, an example generator is provided. arxiv.org/html/2404.07353v1 says:
Each generator is a standalone Python function merely making use of the DSL and functions from the random module from the standard library . The median generator consists of 40 lines of code and uses 22 DSL primitive calls and 10 calls to the random module. Cool!
Original:
Generated:
These are interesting from both
a :
practical point of view, as they provide more training data for potential solvers. If you believe that they are representative that is of course. theoretical point of view, as they might help to highlight missing or excessive presumptions of the official datasets
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