train listlengths 2 10 | test listlengths 1 57 | source stringclasses 1
value | concepts stringlengths 69 2.36k |
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... | barc | concepts:
boundary detection, enclosed area coloring
description:
The input grid consists of black and blue pixels. The blue pixels form a boundary around certain areas.
To produce the output, you need to find the enclosed areas that are surrounded by blue pixels and color them green. |
[
{
"input": [
[
2,
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[
2,
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[
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... | [
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],
[
3,
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... | barc | concepts:
flood fill, connectivity, region coloring
description:
In the input, you will see a grid filled with multiple colored pixels, with some regions being connected by the same color.
To make the output, fill every region of the grid that is connected and color it with a new color based on its original color:
- I... |
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3,
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2,
0
],
... | barc | concepts:
object extraction, alignment, color transformation
description:
In the input, you will see a black grid containing several objects. Each object has a single yellow pixel, while the rest of the object is a different color.
The goal is to create an output grid by taking each object, moving it so that the yello... |
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{
"input": [
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[
1,
0,
1,
1,
1,
0,
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1,
0,
0
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[
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... | barc | concepts:
bounding box, color change, translation
description:
In the input you will see a red object surrounded by blue pixels on a black background.
To make the output grid, you should first find the red object, change its color to yellow,
and then translate it to the center of the bounding box created by the blue p... |
[
{
"input": [
[
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[
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"input": [
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7,
7,
7,
7,
7,
7,
7,
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7
],
[
7,
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7,
7,
... | barc | concepts:
puzzle pieces, reflection, translation
description:
In the input you will see a small multicolored object, and a larger region containing clusters of colored pixels.
The background is NOT black.
To make the output, you need to reflect the small object and then translate it so that it perfectly covers the clu... |
[{"input":[[0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.(...TRUNCATED) | [{"input":[[0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.(...TRUNCATED) | barc | "concepts:\ncrop, pixel manipulation, symmetry\n\ndescription:\nIn the input, you will see a grid wi(...TRUNCATED) |
[{"input":[[6.0,0.0,0.0,0.0],[0.0,0.0,6.0,6.0],[0.0,6.0,0.0,0.0],[6.0,0.0,0.0,0.0],[6.0,0.0,0.0,0.0](...TRUNCATED) | [{"input":[[5.0,5.0,0.0,5.0,5.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,5.0],[5.0,0.0,5.(...TRUNCATED) | barc | "concepts:\ntranslational symmetry, grid expansion, color alteration\n\ndescription:\nIn the input, (...TRUNCATED) |
[{"input":[[0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.(...TRUNCATED) | [{"input":[[0.0,0.0,6.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,6.0,0.0,0.0](...TRUNCATED) | barc | "concepts:\npixel manipulation, color wheel transformation\n\ndescription:\nIn the input, you will s(...TRUNCATED) |
[{"input":[[9.0,0.0,0.0,9.0,7.0,0.0,0.0,0.0,0.0,0.0],[0.0,0.0,0.0,0.0,7.0,0.0,0.0,0.0,0.0,0.0],[0.0,(...TRUNCATED) | [{"input":[[1.0,0.0,0.0,0.0,9.0,0.0,0.0,0.0,0.0,0.0,0.0],[9.0,4.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.(...TRUNCATED) | barc | "concepts:\npixel mirroring, reflection\n\ndescription:\nIn the input you will see a grid with sever(...TRUNCATED) |
[{"input":[[2.0,0.0,2.0],[2.0,0.0,2.0],[2.0,0.0,2.0]],"output":[[4.0,0.0,4.0,0.0,4.0,0.0,4.0,0.0,4.0(...TRUNCATED) | [{"input":[[2.0,2.0,2.0],[0.0,0.0,0.0],[2.0,2.0,2.0]],"output":[[4.0,4.0,4.0,4.0,4.0,4.0,4.0,4.0,4.0(...TRUNCATED) | barc | "concepts:\ntranslational symmetry, symmetry detection, color transformation\n\ndescription:\nIn the(...TRUNCATED) |
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