images
images listlengths 5
22
| problem
stringlengths 1.75k
26.5k
| train_pair_numbers
int64 2
10
| test_input_numbers
int64 1
4
| ground_truth
sequencelengths 1
4
| problem_id
stringlengths 8
8
|
|---|---|---|---|---|---|
Now you are asked to generate a new image based on the input image.
The <image><image><image><image><image><image><image><image> images are the train input images and output images, each input-output pairs are consecutive in order. You should learn the mapping law from these input to output examples.
The <image> are the test input images for which you need to generate the output images.
You should generate the test output image in text format like a python list. Each grid color is represented by a number.
The color number mapping is as follows:
0: black, 1: blue, 2: red, 3: green, 4: yellow, 5: gray-light, 6: magenta, 7: orange, 8: blue-light, 9: maroon
For example, if the output image should be a 3x3 grid, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]]] </answer>
If there are multiple test input images, you should generate the output for each image in the same format, separated by ','. In fact, you can see it as a answers list.
For example, if there are two test input images, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]], [[1, 1, 1], [2, 2, 2], [3, 3, 3], [4, 4, 4]]] </answer>
Here is this question json in text format:
{"train": [{"input": [[5, 0, 0], [0, 5, 0], [5, 0, 0]], "output": [[2, 2, 2], [4, 4, 4], [2, 2, 2]]}, {"input": [[0, 0, 5], [0, 0, 5], [0, 0, 5]], "output": [[3, 3, 3], [3, 3, 3], [3, 3, 3]]}, {"input": [[0, 5, 0], [0, 0, 5], [0, 5, 0]], "output": [[4, 4, 4], [3, 3, 3], [4, 4, 4]]}, {"input": [[0, 0, 5], [0, 5, 0], [5, 0, 0]], "output": [[3, 3, 3], [4, 4, 4], [2, 2, 2]]}], "test": [{"input": [[0, 0, 5], [5, 0, 0], [0, 5, 0]]}]}
Think carefully step by step, and give the final answer.
| 4
| 1
|
[
[
[
3,
3,
3
],
[
2,
2,
2
],
[
4,
4,
4
]
]
] |
a85d4709
|
|
Now you are asked to generate a new image based on the input image.
The <image><image><image><image><image><image> images are the train input images and output images, each input-output pairs are consecutive in order. You should learn the mapping law from these input to output examples.
The <image> are the test input images for which you need to generate the output images.
You should generate the test output image in text format like a python list. Each grid color is represented by a number.
The color number mapping is as follows:
0: black, 1: blue, 2: red, 3: green, 4: yellow, 5: gray-light, 6: magenta, 7: orange, 8: blue-light, 9: maroon
For example, if the output image should be a 3x3 grid, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]]] </answer>
If there are multiple test input images, you should generate the output for each image in the same format, separated by ','. In fact, you can see it as a answers list.
For example, if there are two test input images, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]], [[1, 1, 1], [2, 2, 2], [3, 3, 3], [4, 4, 4]]] </answer>
Here is this question json in text format:
{"train": [{"input": [[1, 1, 1, 1, 1, 1, 1, 1], [1, 8, 1, 8, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1], [1, 8, 1, 8, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 3, 1, 1, 1], [1, 1, 1, 3, 1, 3, 1, 1], [1, 1, 1, 1, 3, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1]], "output": [[8, 3, 8], [3, 1, 3], [8, 3, 8]]}, {"input": [[3, 3, 3, 3, 3, 3, 3, 4, 3, 4, 3], [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3], [3, 3, 3, 3, 1, 3, 3, 3, 3, 3, 3], [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3], [3, 3, 1, 3, 3, 3, 1, 4, 3, 4, 3], [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3], [3, 3, 3, 3, 1, 3, 2, 3, 3, 3, 2], [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3], [8, 3, 3, 3, 8, 3, 3, 3, 3, 3, 3], [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3], [8, 3, 3, 3, 8, 3, 2, 3, 3, 3, 2], [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3]], "output": [[2, 4, 1, 4, 2], [8, 3, 3, 3, 8], [1, 3, 3, 3, 1], [8, 3, 3, 3, 8], [2, 4, 1, 4, 2]]}, {"input": [[4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4], [4, 4, 1, 4, 4, 4, 1, 4, 4, 4, 4, 4, 4, 4], [4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4], [4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4], [4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4], [4, 4, 1, 4, 4, 4, 1, 4, 4, 7, 4, 4, 4, 4], [4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4], [4, 4, 4, 4, 4, 4, 4, 7, 4, 4, 4, 7, 4, 4], [4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4], [4, 4, 4, 4, 4, 4, 4, 4, 4, 7, 4, 4, 4, 4], [4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4], [4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4]], "output": [[1, 4, 7, 4, 1], [4, 4, 4, 4, 4], [7, 4, 4, 4, 7], [4, 4, 4, 4, 4], [1, 4, 7, 4, 1]]}], "test": [{"input": [[8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 1, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 1, 8, 8, 8, 8, 8, 1, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 2, 8, 8, 8, 8, 8, 2, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 1, 8, 8, 8, 8, 2, 8, 8, 8, 8, 8, 2, 8], [8, 8, 8, 3, 8, 8, 8, 8, 8, 3, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 6, 8, 6, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 3, 8, 8, 8, 8, 8, 3, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 6, 8, 6, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8]]}]}
Think carefully step by step, and give the final answer.
| 3
| 1
|
[
[
[
3,
8,
6,
1,
6,
8,
3
],
[
8,
8,
8,
8,
8,
8,
8
],
[
2,
8,
8,
8,
8,
8,
2
],
[
1,
8,
8,
8,
8,
8,
1
],
[
2,
8,
8,
8,
8,
8,
2
],
[
8,
8,
8,
8,
8,
8,
8
],
[
3,
8,
6,
1,
6,
8,
3
]
]
] |
c8cbb738
|
|
Now you are asked to generate a new image based on the input image.
The <image><image><image><image><image><image> images are the train input images and output images, each input-output pairs are consecutive in order. You should learn the mapping law from these input to output examples.
The <image> are the test input images for which you need to generate the output images.
You should generate the test output image in text format like a python list. Each grid color is represented by a number.
The color number mapping is as follows:
0: black, 1: blue, 2: red, 3: green, 4: yellow, 5: gray-light, 6: magenta, 7: orange, 8: blue-light, 9: maroon
For example, if the output image should be a 3x3 grid, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]]] </answer>
If there are multiple test input images, you should generate the output for each image in the same format, separated by ','. In fact, you can see it as a answers list.
For example, if there are two test input images, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]], [[1, 1, 1], [2, 2, 2], [3, 3, 3], [4, 4, 4]]] </answer>
Here is this question json in text format:
{"train": [{"input": [[0, 0, 0, 0, 0, 2, 0, 0, 4, 0], [0, 5, 5, 5, 0, 2, 0, 0, 4, 0], [0, 5, 5, 5, 0, 2, 0, 0, 4, 0], [0, 5, 5, 5, 0, 2, 0, 0, 4, 0], [0, 0, 0, 0, 0, 2, 0, 0, 4, 0], [0, 0, 1, 0, 0, 2, 0, 0, 4, 0], [0, 0, 1, 0, 0, 2, 0, 0, 4, 0], [0, 0, 1, 0, 0, 2, 0, 0, 4, 0], [0, 0, 1, 0, 0, 2, 0, 0, 4, 0], [0, 0, 1, 0, 0, 2, 0, 0, 4, 0], [0, 0, 1, 0, 0, 2, 0, 0, 4, 0], [0, 0, 1, 0, 0, 2, 0, 0, 4, 0]], "output": [[1, 2, 4], [1, 2, 4], [1, 2, 4]]}, {"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], [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2], [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], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [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], [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 5, 5, 5, 5, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0], [0, 5, 5, 5, 5, 5, 5, 0, 4, 4, 4, 4, 4, 4, 4], [0, 5, 5, 5, 5, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0], [0, 5, 5, 5, 5, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0], [0, 5, 5, 5, 5, 5, 5, 0, 8, 8, 8, 8, 8, 8, 8], [0, 5, 5, 5, 5, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6]], "output": [[2, 2, 2, 2, 2, 2], [1, 1, 1, 1, 1, 1], [3, 3, 3, 3, 3, 3], [4, 4, 4, 4, 4, 4], [8, 8, 8, 8, 8, 8], [6, 6, 6, 6, 6, 6]]}, {"input": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2, 2, 2, 2, 2, 0, 5, 5, 5, 5, 0, 2], [0, 0, 0, 0, 0, 0, 5, 5, 5, 5, 0, 0], [0, 0, 0, 0, 0, 0, 5, 5, 5, 5, 0, 0], [8, 8, 8, 8, 8, 0, 5, 5, 5, 5, 0, 8], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], "output": [[2, 2, 2, 2], [8, 8, 8, 8], [4, 4, 4, 4], [1, 1, 1, 1]]}], "test": [{"input": [[2, 2, 2, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 2, 2], [0, 0, 0, 0, 0, 0, 0, 0, 5, 5, 5, 5, 5, 5, 5, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 5, 5, 5, 5, 5, 5, 5, 0, 0, 0, 0], [3, 3, 3, 3, 3, 3, 3, 0, 5, 5, 5, 5, 5, 5, 5, 0, 3, 3, 3], [0, 0, 0, 0, 0, 0, 0, 0, 5, 5, 5, 5, 5, 5, 5, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 5, 5, 5, 5, 5, 5, 5, 0, 0, 0, 0], [8, 8, 8, 8, 8, 8, 8, 0, 5, 5, 5, 5, 5, 5, 5, 0, 8, 8, 8], [0, 0, 0, 0, 0, 0, 0, 0, 5, 5, 5, 5, 5, 5, 5, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4], [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], [6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 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, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [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], [7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7]]}]}
Think carefully step by step, and give the final answer.
| 3
| 1
|
[
[
[
2,
2,
2,
2,
2,
2,
2
],
[
3,
3,
3,
3,
3,
3,
3
],
[
8,
8,
8,
8,
8,
8,
8
],
[
4,
4,
4,
4,
4,
4,
4
],
[
6,
6,
6,
6,
6,
6,
6
],
[
1,
1,
1,
1,
1,
1,
1
],
[
7,
7,
7,
7,
7,
7,
7
]
]
] |
8e1813be
|
|
Now you are asked to generate a new image based on the input image.
The <image><image><image><image><image><image> images are the train input images and output images, each input-output pairs are consecutive in order. You should learn the mapping law from these input to output examples.
The <image> are the test input images for which you need to generate the output images.
You should generate the test output image in text format like a python list. Each grid color is represented by a number.
The color number mapping is as follows:
0: black, 1: blue, 2: red, 3: green, 4: yellow, 5: gray-light, 6: magenta, 7: orange, 8: blue-light, 9: maroon
For example, if the output image should be a 3x3 grid, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]]] </answer>
If there are multiple test input images, you should generate the output for each image in the same format, separated by ','. In fact, you can see it as a answers list.
For example, if there are two test input images, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]], [[1, 1, 1], [2, 2, 2], [3, 3, 3], [4, 4, 4]]] </answer>
Here is this question json in text format:
{"train": [{"input": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 1, 0, 1, 0, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 1, 0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 1, 0, 1, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], "output": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 2, 1, 2, 1, 2, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 1, 2, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 1, 2, 1, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 2, 1, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}, {"input": [[1, 0, 1, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 1, 0], [0, 0, 0, 0, 0]], "output": [[1, 2, 1, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 0], [0, 1, 2, 1, 0], [0, 0, 0, 0, 0]]}, {"input": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 1, 0, 1, 0], [0, 1, 0, 1, 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, 1, 0, 1, 0, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 1, 0, 0, 0, 0, 0, 0]], "output": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 1, 2, 1, 0], [0, 1, 2, 1, 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, 1, 2, 1, 2, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 1, 2, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 2, 1, 0, 0, 0, 0, 0, 0]]}], "test": [{"input": [[0, 1, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 1, 0, 1, 0, 1, 0, 1, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 1, 0, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}]}
Think carefully step by step, and give the final answer.
| 3
| 1
|
[
[
[
0,
1,
2,
1,
0,
0,
0,
0,
0,
0
],
[
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
[
0,
0,
1,
2,
1,
2,
1,
2,
1,
0
],
[
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
[
0,
1,
2,
1,
0,
0,
0,
0,
0,
0
],
[
0,
0,
0,
0,
0,
1,
2,
1,
0,
0
],
[
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
[
0,
0,
0,
1,
2,
1,
0,
0,
0,
0
],
[
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
[
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
]
]
] |
a699fb00
|
|
Now you are asked to generate a new image based on the input image.
The <image><image><image><image> images are the train input images and output images, each input-output pairs are consecutive in order. You should learn the mapping law from these input to output examples.
The <image> are the test input images for which you need to generate the output images.
You should generate the test output image in text format like a python list. Each grid color is represented by a number.
The color number mapping is as follows:
0: black, 1: blue, 2: red, 3: green, 4: yellow, 5: gray-light, 6: magenta, 7: orange, 8: blue-light, 9: maroon
For example, if the output image should be a 3x3 grid, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]]] </answer>
If there are multiple test input images, you should generate the output for each image in the same format, separated by ','. In fact, you can see it as a answers list.
For example, if there are two test input images, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]], [[1, 1, 1], [2, 2, 2], [3, 3, 3], [4, 4, 4]]] </answer>
Here is this question json in text format:
{"train": [{"input": [[9, 9, 9, 7, 2, 2, 2, 7, 3, 3, 3], [9, 9, 9, 7, 2, 2, 2, 7, 3, 3, 3], [9, 9, 9, 7, 2, 2, 2, 7, 3, 3, 3], [7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7], [7, 5, 7, 7, 7, 0, 7, 7, 7, 8, 7], [7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7], [6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6], [7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7], [7, 0, 7, 7, 7, 7, 7, 7, 7, 7, 7], [7, 7, 7, 7, 7, 5, 7, 7, 8, 7, 7], [7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7], [7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7], [7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7], [7, 8, 7, 7, 7, 0, 7, 7, 7, 5, 7], [7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7], [7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7], [7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7], [7, 7, 7, 7, 7, 7, 7, 7, 7, 8, 7], [7, 7, 7, 8, 7, 7, 7, 7, 7, 7, 7], [7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7]], "output": [[2, 2, 2, 7, 7, 7, 7, 7, 7, 7, 7], [2, 2, 2, 7, 9, 9, 9, 3, 3, 3, 7], [2, 2, 2, 7, 9, 9, 9, 3, 3, 3, 7], [7, 7, 7, 7, 9, 9, 9, 3, 3, 3, 7], [7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7], [3, 3, 3, 7, 2, 2, 2, 7, 9, 9, 9], [3, 3, 3, 7, 2, 2, 2, 7, 9, 9, 9], [3, 3, 3, 7, 2, 2, 2, 7, 9, 9, 9], [7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7], [7, 7, 7, 7, 7, 7, 7, 7, 3, 3, 3], [7, 7, 3, 3, 3, 7, 7, 7, 3, 3, 3], [7, 7, 3, 3, 3, 7, 7, 7, 3, 3, 3], [7, 7, 3, 3, 3, 7, 7, 7, 7, 7, 7]]}, {"input": [[5, 5, 5, 7, 4, 4, 4, 7, 6, 6, 6], [5, 5, 5, 7, 4, 4, 4, 7, 6, 6, 6], [5, 5, 5, 7, 4, 4, 4, 7, 6, 6, 6], [7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7], [7, 2, 7, 7, 7, 8, 7, 7, 7, 1, 7], [7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7], [6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6], [7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7], [7, 1, 7, 7, 7, 7, 7, 7, 7, 7, 7], [7, 7, 7, 7, 8, 7, 7, 7, 7, 8, 7], [7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7], [7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7], [7, 2, 7, 7, 7, 7, 7, 7, 7, 2, 7], [7, 7, 7, 7, 7, 1, 7, 7, 7, 7, 7], [7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7], [7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7], [7, 8, 7, 7, 7, 7, 7, 8, 7, 7, 7], [7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7], [7, 7, 7, 7, 1, 7, 7, 7, 7, 7, 7], [7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7]], "output": [[6, 6, 6, 7, 7, 7, 7, 7, 7, 7, 7], [6, 6, 6, 4, 4, 4, 7, 7, 4, 4, 4], [6, 6, 6, 4, 4, 4, 7, 7, 4, 4, 4], [7, 7, 7, 4, 4, 4, 7, 7, 4, 4, 4], [5, 5, 5, 7, 7, 7, 7, 7, 5, 5, 5], [5, 5, 5, 7, 6, 6, 6, 7, 5, 5, 5], [5, 5, 5, 7, 6, 6, 6, 7, 5, 5, 5], [7, 7, 7, 7, 6, 6, 6, 7, 7, 7, 7], [4, 4, 4, 7, 7, 7, 4, 4, 4, 7, 7], [4, 4, 4, 7, 7, 7, 4, 4, 4, 7, 7], [4, 4, 4, 6, 6, 6, 4, 4, 4, 7, 7], [7, 7, 7, 6, 6, 6, 7, 7, 7, 7, 7], [7, 7, 7, 6, 6, 6, 7, 7, 7, 7, 7]]}], "test": [{"input": [[2, 2, 2, 7, 1, 1, 1, 7, 5, 5, 5], [2, 2, 2, 7, 1, 1, 1, 7, 5, 5, 5], [2, 2, 2, 7, 1, 1, 1, 7, 5, 5, 5], [7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7], [7, 8, 7, 7, 7, 6, 7, 7, 7, 9, 7], [7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7], [6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6], [7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7], [7, 7, 7, 7, 7, 6, 7, 7, 7, 9, 7], [7, 7, 9, 7, 7, 7, 7, 7, 7, 7, 7], [7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7], [7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7], [7, 7, 8, 7, 7, 7, 7, 8, 7, 7, 7], [7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7], [7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7], [7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7], [7, 7, 9, 7, 7, 8, 7, 7, 7, 7, 7], [7, 7, 7, 7, 7, 7, 7, 7, 7, 9, 7], [7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7], [7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7]]}]}
Think carefully step by step, and give the final answer.
| 2
| 1
|
[
[
[
7,
7,
7,
7,
1,
1,
1,
7,
5,
5,
5
],
[
7,
5,
5,
5,
1,
1,
1,
7,
5,
5,
5
],
[
7,
5,
5,
5,
1,
1,
1,
7,
5,
5,
5
],
[
7,
5,
5,
5,
7,
7,
7,
7,
7,
7,
7
],
[
7,
2,
2,
2,
7,
7,
2,
2,
2,
7,
7
],
[
7,
2,
2,
2,
7,
7,
2,
2,
2,
7,
7
],
[
7,
2,
2,
2,
7,
7,
2,
2,
2,
7,
7
],
[
7,
7,
7,
7,
7,
7,
7,
7,
7,
7,
7
],
[
7,
5,
5,
5,
2,
2,
2,
7,
7,
7,
7
],
[
7,
5,
5,
5,
2,
2,
2,
7,
5,
5,
5
],
[
7,
5,
5,
5,
2,
2,
2,
7,
5,
5,
5
],
[
7,
7,
7,
7,
7,
7,
7,
7,
5,
5,
5
],
[
7,
7,
7,
7,
7,
7,
7,
7,
7,
7,
7
]
]
] |
20fb2937
|
|
Now you are asked to generate a new image based on the input image.
The <image><image><image><image><image><image> images are the train input images and output images, each input-output pairs are consecutive in order. You should learn the mapping law from these input to output examples.
The <image> are the test input images for which you need to generate the output images.
You should generate the test output image in text format like a python list. Each grid color is represented by a number.
The color number mapping is as follows:
0: black, 1: blue, 2: red, 3: green, 4: yellow, 5: gray-light, 6: magenta, 7: orange, 8: blue-light, 9: maroon
For example, if the output image should be a 3x3 grid, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]]] </answer>
If there are multiple test input images, you should generate the output for each image in the same format, separated by ','. In fact, you can see it as a answers list.
For example, if there are two test input images, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]], [[1, 1, 1], [2, 2, 2], [3, 3, 3], [4, 4, 4]]] </answer>
Here is this question json in text format:
{"train": [{"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, 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, 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, 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, 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, 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, 0, 0, 0, 0, 0, 0, 0, 0, 2, 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, 2, 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, 2, 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, 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, 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, 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, 0, 0]], "output": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 0], [0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0], [0, 2, 0, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 0, 2, 0], [0, 2, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 2, 0], [0, 2, 0, 2, 0, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 0, 2, 0, 2, 0], [0, 2, 0, 2, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 2, 0, 2, 0], [0, 2, 0, 2, 0, 2, 0, 2, 2, 2, 2, 2, 2, 2, 2, 2, 0, 2, 0, 2, 0, 2, 0], [0, 2, 0, 2, 0, 2, 0, 2, 0, 0, 0, 0, 0, 0, 0, 2, 0, 2, 0, 2, 0, 2, 0], [0, 2, 0, 2, 0, 2, 0, 2, 0, 2, 2, 2, 2, 2, 0, 2, 0, 2, 0, 2, 0, 2, 0], [0, 2, 0, 2, 0, 2, 0, 2, 0, 2, 0, 0, 0, 2, 0, 2, 0, 2, 0, 2, 0, 2, 0], [0, 2, 0, 2, 0, 2, 0, 2, 0, 2, 0, 2, 0, 2, 0, 2, 0, 2, 0, 2, 0, 2, 0], [0, 2, 0, 2, 0, 2, 0, 2, 0, 2, 0, 0, 0, 2, 0, 2, 0, 2, 0, 2, 0, 2, 0], [0, 2, 0, 2, 0, 2, 0, 2, 0, 2, 2, 2, 2, 2, 0, 2, 0, 2, 0, 2, 0, 2, 0], [0, 2, 0, 2, 0, 2, 0, 2, 0, 0, 0, 0, 0, 0, 0, 2, 0, 2, 0, 2, 0, 2, 0], [0, 2, 0, 2, 0, 2, 0, 2, 2, 2, 2, 2, 2, 2, 2, 2, 0, 2, 0, 2, 0, 2, 0], [0, 2, 0, 2, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 2, 0, 2, 0], [0, 2, 0, 2, 0, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 0, 2, 0, 2, 0], [0, 2, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 2, 0], [0, 2, 0, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 0, 2, 0], [0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0]]}, {"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, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 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, 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, 8, 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, 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, 8, 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, 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, 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, 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, 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, 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], [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, 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]], "output": [[0, 0, 8, 0, 0, 8, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0], [0, 0, 8, 0, 0, 8, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0], [0, 0, 8, 0, 0, 8, 0, 0, 8, 0, 0, 8, 8, 8, 8, 8, 8, 8, 0, 0, 8, 0, 0], [0, 0, 8, 0, 0, 8, 0, 0, 8, 0, 0, 8, 0, 0, 0, 0, 0, 8, 0, 0, 8, 0, 0], [0, 0, 8, 0, 0, 8, 0, 0, 8, 0, 0, 8, 0, 0, 0, 0, 0, 8, 0, 0, 8, 0, 0], [0, 0, 8, 0, 0, 8, 0, 0, 8, 0, 0, 8, 0, 0, 8, 0, 0, 8, 0, 0, 8, 0, 0], [0, 0, 8, 0, 0, 8, 0, 0, 8, 0, 0, 8, 0, 0, 0, 0, 0, 8, 0, 0, 8, 0, 0], [0, 0, 8, 0, 0, 8, 0, 0, 8, 0, 0, 8, 0, 0, 0, 0, 0, 8, 0, 0, 8, 0, 0], [0, 0, 8, 0, 0, 8, 0, 0, 8, 0, 0, 8, 8, 8, 8, 8, 8, 8, 0, 0, 8, 0, 0], [0, 0, 8, 0, 0, 8, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0], [0, 0, 8, 0, 0, 8, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0], [0, 0, 8, 0, 0, 8, 0, 0, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 0, 0], [0, 0, 8, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 8, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 8, 0, 0, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [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, 0, 0, 0], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [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, 0, 0, 0]]}, {"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, 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, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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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, 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]], "output": [[3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 0, 0, 0, 3, 0, 0], [3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 3, 0, 0], [3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 3, 0, 0], [3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 3, 0, 0], [3, 0, 0, 0, 3, 3, 3, 3, 3, 3, 3, 3, 3, 0, 0, 0, 3, 0, 0, 0, 3, 0, 0], [3, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 3, 0, 0, 0, 3, 0, 0], [3, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 3, 0, 0, 0, 3, 0, 0], [3, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 3, 0, 0, 0, 3, 0, 0], [3, 0, 0, 0, 3, 0, 0, 0, 3, 0, 0, 0, 3, 0, 0, 0, 3, 0, 0, 0, 3, 0, 0], [3, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 3, 0, 0, 0, 3, 0, 0], [3, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 3, 0, 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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, 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, 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, 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, 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, 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, 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, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 4, 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, 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, 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, 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, 0, 4, 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, 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, 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, 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, 0, 4, 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, 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, 0, 0, 0, 0, 0, 0]]}]}
Think carefully step by step, and give the final answer.
| 3
| 1
|
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] |
5c2c9af4
|
|
Now you are asked to generate a new image based on the input image.
The <image><image><image><image><image><image> images are the train input images and output images, each input-output pairs are consecutive in order. You should learn the mapping law from these input to output examples.
The <image> are the test input images for which you need to generate the output images.
You should generate the test output image in text format like a python list. Each grid color is represented by a number.
The color number mapping is as follows:
0: black, 1: blue, 2: red, 3: green, 4: yellow, 5: gray-light, 6: magenta, 7: orange, 8: blue-light, 9: maroon
For example, if the output image should be a 3x3 grid, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]]] </answer>
If there are multiple test input images, you should generate the output for each image in the same format, separated by ','. In fact, you can see it as a answers list.
For example, if there are two test input images, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]], [[1, 1, 1], [2, 2, 2], [3, 3, 3], [4, 4, 4]]] </answer>
Here is this question json in text format:
{"train": [{"input": [[2, 0], [0, 0]], "output": [[2, 2, 0, 0], [2, 2, 0, 0], [0, 0, 1, 0], [0, 0, 0, 1]]}, {"input": [[0, 0, 0, 5, 0], [0, 5, 0, 0, 0], [0, 0, 0, 0, 0], [0, 5, 0, 0, 0], [0, 0, 0, 0, 0]], "output": [[1, 0, 0, 0, 0, 0, 5, 5, 0, 0], [0, 1, 0, 0, 0, 0, 5, 5, 0, 0], [0, 0, 5, 5, 0, 0, 0, 0, 1, 0], [0, 0, 5, 5, 0, 0, 0, 0, 0, 1], [1, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 5, 5, 0, 0, 1, 0, 0, 0], [0, 0, 5, 5, 0, 0, 0, 1, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 1, 0, 0, 0, 1]]}, {"input": [[0, 0, 0, 0, 0, 3], [0, 0, 0, 0, 0, 0], [0, 3, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0]], "output": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 3], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 3], [1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0]]}], "test": [{"input": [[0, 4, 0], [0, 0, 0], [4, 0, 0]]}]}
Think carefully step by step, and give the final answer.
| 3
| 1
|
[
[
[
0,
0,
4,
4,
0,
0
],
[
0,
0,
4,
4,
0,
0
],
[
0,
0,
0,
0,
1,
0
],
[
0,
0,
0,
0,
0,
1
],
[
4,
4,
0,
0,
0,
0
],
[
4,
4,
0,
0,
0,
0
]
]
] |
f0afb749
|
|
Now you are asked to generate a new image based on the input image.
The <image><image><image><image><image><image><image><image><image><image><image><image> images are the train input images and output images, each input-output pairs are consecutive in order. You should learn the mapping law from these input to output examples.
The <image><image> are the test input images for which you need to generate the output images.
You should generate the test output image in text format like a python list. Each grid color is represented by a number.
The color number mapping is as follows:
0: black, 1: blue, 2: red, 3: green, 4: yellow, 5: gray-light, 6: magenta, 7: orange, 8: blue-light, 9: maroon
For example, if the output image should be a 3x3 grid, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]]] </answer>
If there are multiple test input images, you should generate the output for each image in the same format, separated by ','. In fact, you can see it as a answers list.
For example, if there are two test input images, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]], [[1, 1, 1], [2, 2, 2], [3, 3, 3], [4, 4, 4]]] </answer>
Here is this question json in text format:
{"train": [{"input": [[0, 0, 0], [2, 0, 2], [0, 0, 0]], "output": [[1]]}, {"input": [[2, 2, 0], [0, 2, 2], [0, 0, 0]], "output": [[7]]}, {"input": [[2, 2, 0], [0, 2, 0], [0, 0, 0]], "output": [[7]]}, {"input": [[2, 0, 0], [2, 0, 0], [0, 2, 0]], "output": [[7]]}, {"input": [[2, 0, 2], [2, 0, 2], [2, 0, 2]], "output": [[1]]}, {"input": [[2, 0, 2], [0, 2, 0], [2, 0, 2]], "output": [[1]]}], "test": [{"input": [[0, 0, 0], [2, 0, 0], [2, 0, 0]]}, {"input": [[2, 0, 2], [2, 2, 2], [2, 0, 2]]}]}
Think carefully step by step, and give the final answer.
| 6
| 2
|
[
[
[
7
]
],
[
[
1
]
]
] |
44f52bb0
|
|
Now you are asked to generate a new image based on the input image.
The <image><image><image><image><image><image> images are the train input images and output images, each input-output pairs are consecutive in order. You should learn the mapping law from these input to output examples.
The <image> are the test input images for which you need to generate the output images.
You should generate the test output image in text format like a python list. Each grid color is represented by a number.
The color number mapping is as follows:
0: black, 1: blue, 2: red, 3: green, 4: yellow, 5: gray-light, 6: magenta, 7: orange, 8: blue-light, 9: maroon
For example, if the output image should be a 3x3 grid, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]]] </answer>
If there are multiple test input images, you should generate the output for each image in the same format, separated by ','. In fact, you can see it as a answers list.
For example, if there are two test input images, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]], [[1, 1, 1], [2, 2, 2], [3, 3, 3], [4, 4, 4]]] </answer>
Here is this question json in text format:
{"train": [{"input": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 6, 0], [0, 0, 5, 5, 5, 5, 5, 5, 0, 0], [0, 0, 5, 0, 0, 0, 0, 5, 0, 0], [0, 0, 5, 0, 0, 0, 0, 5, 0, 0], [0, 0, 5, 0, 0, 0, 0, 5, 0, 0], [0, 0, 5, 0, 0, 0, 0, 5, 0, 0], [0, 0, 5, 5, 5, 5, 5, 5, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 7, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], "output": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 6, 0], [0, 0, 5, 5, 5, 5, 5, 5, 0, 0], [0, 0, 5, 7, 7, 6, 6, 5, 0, 0], [0, 0, 5, 7, 7, 6, 6, 5, 0, 0], [0, 0, 5, 6, 6, 7, 7, 5, 0, 0], [0, 0, 5, 6, 6, 7, 7, 5, 0, 0], [0, 0, 5, 5, 5, 5, 5, 5, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 7, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}, {"input": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 4, 0, 0, 0, 0, 0, 0, 8, 0], [0, 0, 5, 5, 5, 5, 5, 5, 0, 0], [0, 0, 5, 0, 0, 0, 0, 5, 0, 0], [0, 0, 5, 0, 0, 0, 0, 5, 0, 0], [0, 0, 5, 0, 0, 0, 0, 5, 0, 0], [0, 0, 5, 0, 0, 0, 0, 5, 0, 0], [0, 0, 5, 5, 5, 5, 5, 5, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], "output": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 4, 0, 0, 0, 0, 0, 0, 8, 0], [0, 0, 5, 5, 5, 5, 5, 5, 0, 0], [0, 0, 5, 4, 4, 8, 8, 5, 0, 0], [0, 0, 5, 4, 4, 8, 8, 5, 0, 0], [0, 0, 5, 8, 8, 4, 4, 5, 0, 0], [0, 0, 5, 8, 8, 4, 4, 5, 0, 0], [0, 0, 5, 5, 5, 5, 5, 5, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}, {"input": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 3, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 5, 5, 5, 5, 5, 5, 0, 0], [0, 0, 5, 0, 0, 0, 0, 5, 0, 0], [0, 0, 5, 0, 0, 0, 0, 5, 0, 0], [0, 0, 5, 0, 0, 0, 0, 5, 0, 0], [0, 0, 5, 0, 0, 0, 0, 5, 0, 0], [0, 0, 5, 5, 5, 5, 5, 5, 0, 0], [0, 2, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], "output": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 3, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 5, 5, 5, 5, 5, 5, 0, 0], [0, 0, 5, 3, 3, 2, 2, 5, 0, 0], [0, 0, 5, 3, 3, 2, 2, 5, 0, 0], [0, 0, 5, 2, 2, 3, 3, 5, 0, 0], [0, 0, 5, 2, 2, 3, 3, 5, 0, 0], [0, 0, 5, 5, 5, 5, 5, 5, 0, 0], [0, 2, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}], "test": [{"input": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 5, 5, 5, 5, 5, 5, 0, 0], [0, 0, 5, 0, 0, 0, 0, 5, 0, 0], [0, 0, 5, 0, 0, 0, 0, 5, 0, 0], [0, 0, 5, 0, 0, 0, 0, 5, 0, 0], [0, 0, 5, 0, 0, 0, 0, 5, 0, 0], [0, 0, 5, 5, 5, 5, 5, 5, 0, 0], [0, 9, 0, 0, 0, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}]}
Think carefully step by step, and give the final answer.
| 3
| 1
|
[
[
[
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
[
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
[
0,
0,
5,
5,
5,
5,
5,
5,
0,
0
],
[
0,
0,
5,
1,
1,
9,
9,
5,
0,
0
],
[
0,
0,
5,
1,
1,
9,
9,
5,
0,
0
],
[
0,
0,
5,
9,
9,
1,
1,
5,
0,
0
],
[
0,
0,
5,
9,
9,
1,
1,
5,
0,
0
],
[
0,
0,
5,
5,
5,
5,
5,
5,
0,
0
],
[
0,
9,
0,
0,
0,
0,
0,
0,
1,
0
],
[
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
]
]
] |
94414823
|
|
Now you are asked to generate a new image based on the input image.
The <image><image><image><image> images are the train input images and output images, each input-output pairs are consecutive in order. You should learn the mapping law from these input to output examples.
The <image> are the test input images for which you need to generate the output images.
You should generate the test output image in text format like a python list. Each grid color is represented by a number.
The color number mapping is as follows:
0: black, 1: blue, 2: red, 3: green, 4: yellow, 5: gray-light, 6: magenta, 7: orange, 8: blue-light, 9: maroon
For example, if the output image should be a 3x3 grid, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]]] </answer>
If there are multiple test input images, you should generate the output for each image in the same format, separated by ','. In fact, you can see it as a answers list.
For example, if there are two test input images, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]], [[1, 1, 1], [2, 2, 2], [3, 3, 3], [4, 4, 4]]] </answer>
Here is this question json in text format:
{"train": [{"input": [[0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 8, 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, 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]], "output": [[0, 0, 0, 8, 0, 0, 7, 0, 0], [8, 8, 8, 8, 8, 8, 2, 8, 8], [0, 0, 0, 8, 0, 0, 7, 0, 0], [0, 0, 0, 8, 0, 0, 7, 0, 0], [0, 0, 0, 8, 0, 0, 7, 0, 0], [0, 0, 0, 8, 0, 0, 7, 0, 0], [0, 0, 0, 8, 0, 0, 7, 0, 0], [7, 7, 7, 2, 7, 7, 7, 7, 7], [0, 0, 0, 8, 0, 0, 7, 0, 0]]}, {"input": [[0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 8, 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, 7, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0]], "output": [[0, 0, 8, 0, 0, 0, 7, 0, 0], [0, 0, 8, 0, 0, 0, 7, 0, 0], [8, 8, 8, 8, 8, 8, 2, 8, 8], [0, 0, 8, 0, 0, 0, 7, 0, 0], [0, 0, 8, 0, 0, 0, 7, 0, 0], [0, 0, 8, 0, 0, 0, 7, 0, 0], [7, 7, 2, 7, 7, 7, 7, 7, 7], [0, 0, 8, 0, 0, 0, 7, 0, 0], [0, 0, 8, 0, 0, 0, 7, 0, 0]]}], "test": [{"input": [[0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 8, 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, 7, 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]]}]}
Think carefully step by step, and give the final answer.
| 2
| 1
|
[
[
[
0,
7,
0,
0,
8,
0,
0,
0,
0
],
[
8,
2,
8,
8,
8,
8,
8,
8,
8
],
[
0,
7,
0,
0,
8,
0,
0,
0,
0
],
[
0,
7,
0,
0,
8,
0,
0,
0,
0
],
[
0,
7,
0,
0,
8,
0,
0,
0,
0
],
[
0,
7,
0,
0,
8,
0,
0,
0,
0
],
[
7,
7,
7,
7,
2,
7,
7,
7,
7
],
[
0,
7,
0,
0,
8,
0,
0,
0,
0
],
[
0,
7,
0,
0,
8,
0,
0,
0,
0
]
]
] |
23581191
|
|
Now you are asked to generate a new image based on the input image.
The <image><image><image><image><image><image> images are the train input images and output images, each input-output pairs are consecutive in order. You should learn the mapping law from these input to output examples.
The <image> are the test input images for which you need to generate the output images.
You should generate the test output image in text format like a python list. Each grid color is represented by a number.
The color number mapping is as follows:
0: black, 1: blue, 2: red, 3: green, 4: yellow, 5: gray-light, 6: magenta, 7: orange, 8: blue-light, 9: maroon
For example, if the output image should be a 3x3 grid, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]]] </answer>
If there are multiple test input images, you should generate the output for each image in the same format, separated by ','. In fact, you can see it as a answers list.
For example, if there are two test input images, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]], [[1, 1, 1], [2, 2, 2], [3, 3, 3], [4, 4, 4]]] </answer>
Here is this question json in text format:
{"train": [{"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, 0, 0, 0, 0, 0, 0, 0, 3, 3, 3, 0, 0, 0, 0], [0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 3, 3, 0, 3, 0, 0, 0, 0], [0, 0, 0, 3, 3, 3, 3, 3, 0, 0, 0, 0, 3, 3, 3, 0, 0, 0, 0], [0, 0, 0, 3, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 3, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 3, 3, 3, 3, 3, 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, 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, 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, 0, 0, 0, 0, 0, 0, 3, 3, 3, 3, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 3, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 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Think carefully step by step, and give the final answer.
| 3
| 1
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]
] |
dc2e9a9d
|
|
Now you are asked to generate a new image based on the input image.
The <image><image><image><image> images are the train input images and output images, each input-output pairs are consecutive in order. You should learn the mapping law from these input to output examples.
The <image> are the test input images for which you need to generate the output images.
You should generate the test output image in text format like a python list. Each grid color is represented by a number.
The color number mapping is as follows:
0: black, 1: blue, 2: red, 3: green, 4: yellow, 5: gray-light, 6: magenta, 7: orange, 8: blue-light, 9: maroon
For example, if the output image should be a 3x3 grid, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]]] </answer>
If there are multiple test input images, you should generate the output for each image in the same format, separated by ','. In fact, you can see it as a answers list.
For example, if there are two test input images, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]], [[1, 1, 1], [2, 2, 2], [3, 3, 3], [4, 4, 4]]] </answer>
Here is this question json in text format:
{"train": [{"input": [[3, 3, 3, 1, 3, 3, 3, 1, 3, 3, 3, 1, 3, 3, 3, 1, 3, 3, 3, 1, 3], [3, 3, 3, 1, 2, 3, 3, 1, 3, 3, 3, 1, 3, 3, 2, 1, 3, 3, 3, 1, 3], [3, 3, 3, 1, 3, 3, 2, 1, 3, 3, 3, 1, 3, 3, 3, 1, 2, 3, 2, 1, 2], [1, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1], [3, 3, 3, 1, 3, 3, 3, 1, 3, 3, 3, 1, 3, 3, 3, 1, 3, 3, 3, 1, 3], [3, 2, 3, 1, 3, 2, 3, 1, 3, 3, 3, 1, 2, 3, 3, 1, 3, 3, 3, 1, 3], [2, 3, 3, 1, 3, 3, 3, 1, 3, 3, 2, 1, 3, 2, 3, 1, 3, 3, 3, 1, 3], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [3, 3, 3, 1, 3, 3, 3, 1, 3, 3, 3, 1, 3, 3, 3, 1, 3, 3, 3, 1, 3], [3, 3, 2, 1, 3, 3, 3, 1, 3, 3, 3, 1, 3, 3, 3, 1, 3, 3, 2, 1, 3], [3, 3, 3, 1, 3, 3, 3, 1, 2, 3, 3, 1, 3, 3, 3, 1, 3, 3, 3, 1, 3], [1, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1], [3, 3, 3, 1, 3, 3, 3, 1, 3, 3, 3, 1, 3, 3, 3, 1, 3, 2, 3, 1, 3], [3, 3, 3, 1, 3, 3, 2, 1, 2, 3, 2, 1, 3, 2, 3, 1, 3, 3, 3, 1, 3], [3, 3, 3, 1, 3, 3, 3, 1, 3, 3, 3, 1, 3, 2, 3, 1, 3, 3, 3, 1, 2], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [3, 3, 3, 1, 3, 3, 2, 1, 3, 2, 2, 1, 2, 3, 3, 1, 3, 3, 3, 1, 3]], "output": [[3, 1, 1, 1, 1, 1, 1, 1, 3], [1, 3, 3, 3, 1, 3, 3, 3, 1], [1, 3, 2, 3, 1, 3, 3, 3, 1], [1, 3, 3, 3, 1, 3, 3, 2, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 3, 3, 3, 1, 3, 3, 3, 1], [1, 3, 3, 3, 1, 3, 3, 3, 1], [1, 3, 3, 3, 1, 2, 3, 3, 1], [3, 1, 1, 1, 1, 1, 1, 1, 3]]}, {"input": [[8, 1, 8, 8, 2, 8, 8, 1, 8, 2, 8, 8, 8, 1, 2, 8, 8, 8, 8, 2, 8, 1], [8, 8, 8, 8, 2, 8, 8, 1, 8, 2, 8, 8, 8, 1, 2, 8, 8, 8, 8, 2, 1, 8], [8, 1, 1, 8, 2, 8, 1, 8, 8, 2, 8, 8, 8, 8, 2, 8, 8, 8, 8, 2, 8, 8], [8, 8, 8, 8, 2, 8, 8, 8, 8, 2, 8, 8, 8, 8, 2, 8, 8, 8, 8, 2, 8, 8], [2, 2, 2, 2, 8, 2, 2, 2, 2, 2, 2, 2, 2, 2, 8, 2, 2, 2, 2, 2, 2, 2], [8, 8, 8, 8, 2, 8, 8, 1, 1, 2, 8, 8, 8, 8, 2, 1, 8, 8, 8, 2, 8, 8], [1, 1, 8, 1, 2, 8, 8, 8, 1, 2, 8, 8, 8, 8, 2, 8, 8, 8, 8, 2, 8, 8], [8, 8, 1, 8, 2, 8, 8, 8, 8, 2, 8, 8, 1, 8, 2, 8, 8, 1, 8, 2, 8, 8], [8, 8, 8, 8, 2, 8, 1, 8, 1, 2, 8, 8, 8, 8, 2, 8, 1, 8, 8, 2, 8, 8], [2, 2, 2, 2, 8, 2, 2, 2, 2, 2, 2, 2, 2, 2, 8, 2, 2, 2, 2, 2, 2, 2], [1, 1, 8, 8, 2, 8, 8, 8, 8, 2, 1, 8, 8, 8, 2, 8, 8, 8, 8, 2, 8, 8], [8, 8, 8, 8, 2, 8, 8, 8, 8, 2, 8, 8, 8, 8, 2, 8, 8, 8, 8, 2, 8, 8], [8, 8, 8, 8, 2, 8, 8, 8, 8, 2, 8, 8, 8, 8, 2, 8, 1, 8, 8, 2, 1, 8], [8, 8, 8, 8, 2, 8, 8, 8, 8, 2, 8, 8, 8, 8, 2, 8, 8, 8, 8, 2, 8, 1], [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2], [8, 8, 8, 8, 2, 8, 8, 8, 8, 2, 8, 8, 8, 1, 2, 1, 8, 8, 1, 2, 1, 8], [1, 8, 8, 8, 2, 8, 8, 8, 8, 2, 8, 8, 8, 8, 2, 8, 8, 8, 8, 2, 8, 8], [1, 8, 1, 8, 2, 8, 8, 8, 8, 2, 8, 8, 8, 8, 2, 8, 8, 8, 8, 2, 8, 8]], "output": [[8, 2, 2, 2, 2, 2, 2, 2, 2, 2, 8], [2, 8, 8, 1, 1, 2, 8, 8, 8, 8, 2], [2, 8, 8, 8, 1, 2, 8, 8, 8, 8, 2], [2, 8, 8, 8, 8, 2, 8, 8, 1, 8, 2], [2, 8, 1, 8, 1, 2, 8, 8, 8, 8, 2], [8, 2, 2, 2, 2, 2, 2, 2, 2, 2, 8]]}], "test": [{"input": [[4, 4, 4, 7, 2, 4, 4, 4, 4, 2, 7, 4, 4, 4, 2, 4, 4, 4, 4, 2], [4, 4, 4, 4, 2, 4, 4, 4, 4, 2, 7, 4, 7, 4, 2, 4, 4, 4, 4, 2], [4, 4, 4, 4, 2, 4, 4, 7, 4, 2, 4, 4, 7, 4, 2, 4, 4, 7, 4, 2], [4, 4, 4, 7, 2, 4, 4, 4, 4, 2, 7, 4, 7, 4, 2, 7, 4, 4, 7, 2], [2, 2, 2, 2, 4, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2], [4, 7, 4, 4, 2, 4, 4, 4, 4, 2, 4, 4, 4, 7, 2, 4, 4, 4, 4, 2], [4, 4, 4, 4, 2, 7, 7, 4, 4, 2, 4, 4, 4, 4, 2, 4, 7, 4, 7, 2], [4, 4, 7, 4, 2, 4, 7, 4, 4, 2, 4, 7, 4, 4, 2, 7, 4, 4, 4, 2], [4, 4, 7, 4, 2, 4, 4, 4, 7, 2, 4, 4, 4, 4, 2, 4, 7, 4, 4, 2], [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2], [4, 4, 4, 4, 2, 7, 4, 4, 4, 2, 4, 7, 4, 4, 2, 7, 4, 7, 7, 2], [4, 4, 4, 4, 2, 4, 4, 4, 4, 2, 4, 4, 4, 4, 2, 4, 7, 4, 4, 2], [4, 4, 7, 4, 2, 4, 4, 4, 4, 2, 4, 4, 4, 7, 2, 4, 4, 7, 4, 2], [4, 4, 7, 4, 2, 4, 4, 4, 4, 2, 4, 7, 7, 4, 2, 4, 7, 4, 4, 2], [2, 2, 2, 2, 4, 2, 2, 2, 2, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2], [4, 4, 4, 4, 2, 4, 4, 4, 4, 2, 7, 4, 4, 4, 2, 4, 4, 4, 7, 2], [4, 4, 4, 4, 2, 4, 4, 4, 4, 2, 7, 4, 4, 4, 2, 7, 4, 4, 7, 2], [4, 4, 4, 7, 2, 7, 4, 7, 4, 2, 7, 4, 4, 4, 2, 4, 4, 4, 7, 2], [4, 4, 4, 4, 2, 7, 4, 4, 4, 2, 4, 4, 7, 4, 2, 4, 7, 4, 4, 2]]}]}
Think carefully step by step, and give the final answer.
| 2
| 1
|
[
[
[
4,
2,
2,
2,
2,
4
],
[
2,
4,
4,
4,
4,
2
],
[
2,
7,
7,
4,
4,
2
],
[
2,
4,
7,
4,
4,
2
],
[
2,
4,
4,
4,
7,
2
],
[
2,
2,
2,
2,
2,
2
],
[
2,
7,
4,
4,
4,
2
],
[
2,
4,
4,
4,
4,
2
],
[
2,
4,
4,
4,
4,
2
],
[
2,
4,
4,
4,
4,
2
],
[
4,
2,
2,
2,
2,
4
]
]
] |
a644e277
|
|
Now you are asked to generate a new image based on the input image.
The <image><image><image><image><image><image> images are the train input images and output images, each input-output pairs are consecutive in order. You should learn the mapping law from these input to output examples.
The <image> are the test input images for which you need to generate the output images.
You should generate the test output image in text format like a python list. Each grid color is represented by a number.
The color number mapping is as follows:
0: black, 1: blue, 2: red, 3: green, 4: yellow, 5: gray-light, 6: magenta, 7: orange, 8: blue-light, 9: maroon
For example, if the output image should be a 3x3 grid, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]]] </answer>
If there are multiple test input images, you should generate the output for each image in the same format, separated by ','. In fact, you can see it as a answers list.
For example, if there are two test input images, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]], [[1, 1, 1], [2, 2, 2], [3, 3, 3], [4, 4, 4]]] </answer>
Here is this question json in text format:
{"train": [{"input": [[0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 1], [1, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 8, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 8, 0, 0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 8, 0, 1, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 1, 0, 0, 0], [0, 0, 1, 0, 0, 8, 0, 0, 1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0]], "output": [[0, 0, 0, 0, 0, 8, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 1, 8, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 8, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 8, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 8, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 8, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 1, 8, 1, 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, 0, 0, 0, 0, 0, 0]]}, {"input": [[0, 0, 5, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 5, 0, 0, 0, 0, 5, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 5], [0, 0, 0, 0, 0, 5, 0, 0, 0, 0], [5, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 5], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 5, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 5, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 5, 0, 0, 0], [5, 0, 0, 0, 0, 0, 0, 5, 0, 0], [0, 5, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], "output": [[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, 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], [5, 5, 5, 0, 0, 5, 5, 0, 0, 5], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [5, 5, 5, 5, 0, 0, 5, 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, 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, 0, 0, 0, 0]]}, {"input": [[0, 0, 2, 0, 0, 2, 0, 0, 0, 0], [2, 0, 0, 0, 2, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2, 0, 0, 0, 0, 0, 0, 0, 0, 2], [0, 0, 2, 0, 0, 0, 0, 0, 0, 0], [2, 0, 0, 0, 2, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [8, 8, 8, 0, 0, 8, 8, 8, 8, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 2], [2, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 2, 0, 2, 0], [0, 0, 0, 2, 0, 0, 0, 0, 0, 2], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], "output": [[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, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2, 0, 2, 0, 0, 2, 0, 0, 0, 0], [8, 8, 8, 0, 0, 8, 8, 8, 8, 0], [2, 0, 0, 0, 0, 0, 2, 0, 2, 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, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}], "test": [{"input": [[0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 3, 0, 0], [0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 3, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 3], [3, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 3, 0, 8, 0, 0, 0, 0, 3, 0, 0], [0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 3, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0], [3, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 3, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 8, 0, 3, 0, 0, 0, 0, 3]]}]}
Think carefully step by step, and give the final answer.
| 3
| 1
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f83cb3f6
|
|
Now you are asked to generate a new image based on the input image.
The <image><image><image><image><image><image> images are the train input images and output images, each input-output pairs are consecutive in order. You should learn the mapping law from these input to output examples.
The <image> are the test input images for which you need to generate the output images.
You should generate the test output image in text format like a python list. Each grid color is represented by a number.
The color number mapping is as follows:
0: black, 1: blue, 2: red, 3: green, 4: yellow, 5: gray-light, 6: magenta, 7: orange, 8: blue-light, 9: maroon
For example, if the output image should be a 3x3 grid, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]]] </answer>
If there are multiple test input images, you should generate the output for each image in the same format, separated by ','. In fact, you can see it as a answers list.
For example, if there are two test input images, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]], [[1, 1, 1], [2, 2, 2], [3, 3, 3], [4, 4, 4]]] </answer>
Here is this question json in text format:
{"train": [{"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, 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0], [0, 6, 0, 0, 3, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 3, 3, 3, 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, 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, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], "output": [[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, 3, 3, 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0], [0, 6, 3, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 3, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 3, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 3, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 3, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 3, 3, 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0], [0, 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]]}, {"input": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 3, 3, 3, 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 3, 0, 3, 0, 0, 3, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0], [0, 3, 0, 3, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 3, 3, 3, 3, 3, 3, 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, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], "output": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 0, 0, 0, 0, 0, 0], [0, 3, 0, 3, 0, 0, 0, 0, 0, 0, 3, 6, 0, 0, 0, 0, 0], [0, 3, 0, 3, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0], [0, 3, 0, 3, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0], [0, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 0, 0, 0, 0, 0, 0], [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]]}, {"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, 0, 0], [0, 0, 0, 0, 3, 3, 3, 3, 3, 3, 0, 0, 0, 0, 0], [0, 0, 0, 0, 3, 0, 0, 3, 0, 3, 0, 0, 6, 0, 0], [0, 0, 0, 0, 3, 3, 3, 3, 3, 3, 0, 0, 0, 0, 0], [0, 6, 0, 0, 3, 0, 0, 3, 0, 3, 0, 0, 0, 0, 0], [0, 0, 0, 0, 3, 3, 3, 3, 3, 3, 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, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0]], "output": [[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, 0, 0], [0, 0, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 0, 0, 0], [0, 0, 3, 0, 0, 0, 0, 3, 0, 0, 0, 3, 6, 0, 0], [0, 0, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 0, 0, 0], [0, 6, 3, 0, 0, 0, 0, 3, 0, 0, 0, 3, 0, 0, 0], [0, 0, 3, 0, 0, 0, 0, 3, 0, 0, 0, 3, 0, 0, 0], [0, 0, 3, 0, 0, 0, 0, 3, 0, 0, 0, 3, 0, 0, 0], [0, 0, 3, 0, 0, 0, 0, 3, 0, 0, 0, 3, 0, 0, 0], [0, 0, 3, 0, 0, 0, 0, 3, 0, 0, 0, 3, 0, 0, 0], [0, 0, 3, 0, 0, 0, 0, 3, 0, 0, 0, 3, 0, 0, 0], [0, 0, 3, 0, 0, 0, 0, 3, 0, 0, 0, 3, 0, 0, 0], [0, 0, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0]]}], "test": [{"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, 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 3, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 6, 0, 0, 0, 3, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 3, 3, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 3, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 3, 3, 3, 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], [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, 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, 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]]}]}
Think carefully step by step, and give the final answer.
| 3
| 1
|
[
[
[
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]
] |
baf41dbf
|
|
Now you are asked to generate a new image based on the input image.
The <image><image><image><image><image><image> images are the train input images and output images, each input-output pairs are consecutive in order. You should learn the mapping law from these input to output examples.
The <image> are the test input images for which you need to generate the output images.
You should generate the test output image in text format like a python list. Each grid color is represented by a number.
The color number mapping is as follows:
0: black, 1: blue, 2: red, 3: green, 4: yellow, 5: gray-light, 6: magenta, 7: orange, 8: blue-light, 9: maroon
For example, if the output image should be a 3x3 grid, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]]] </answer>
If there are multiple test input images, you should generate the output for each image in the same format, separated by ','. In fact, you can see it as a answers list.
For example, if there are two test input images, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]], [[1, 1, 1], [2, 2, 2], [3, 3, 3], [4, 4, 4]]] </answer>
Here is this question json in text format:
{"train": [{"input": [[0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1], [1, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2], [0, 8, 2, 3, 0, 1, 2, 3, 0, 1, 2, 8, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1], [1, 8, 3, 0, 1, 2, 3, 0, 4, 4, 4, 4, 4, 4, 4, 0, 1, 2, 3, 0, 1, 2], [0, 8, 2, 3, 0, 1, 2, 3, 4, 5, 5, 5, 5, 5, 4, 3, 0, 1, 2, 3, 0, 1], [1, 8, 3, 0, 1, 2, 3, 0, 4, 5, 5, 5, 5, 5, 4, 0, 1, 2, 3, 0, 1, 2], [0, 8, 2, 3, 0, 1, 2, 3, 4, 5, 5, 5, 5, 5, 4, 3, 0, 1, 2, 3, 0, 1], [1, 8, 3, 0, 1, 2, 3, 0, 4, 5, 5, 5, 5, 5, 4, 0, 1, 2, 3, 0, 1, 2], [0, 8, 2, 3, 0, 1, 2, 3, 4, 4, 4, 4, 4, 4, 4, 3, 0, 6, 6, 3, 0, 1], [1, 8, 3, 0, 1, 2, 3, 0, 1, 2, 3, 8, 1, 2, 3, 0, 1, 6, 6, 0, 1, 2], [0, 8, 2, 3, 0, 1, 2, 3, 0, 1, 2, 8, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1], [1, 8, 3, 0, 1, 2, 3, 0, 1, 2, 3, 8, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2], [0, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1], [1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2, 3, 0, 1, 2]], "output": [[8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8], [8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8], [8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8], [8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8], [8, 4, 4, 4, 4, 4, 4, 4, 0, 0, 8], [8, 4, 5, 5, 5, 5, 5, 4, 0, 0, 8], [8, 4, 5, 5, 5, 5, 5, 4, 0, 0, 8], [8, 4, 6, 6, 5, 5, 5, 4, 0, 0, 8], [8, 4, 6, 6, 5, 5, 5, 4, 0, 0, 8], [8, 4, 4, 4, 4, 4, 4, 4, 0, 0, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8]]}, {"input": [[0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 4, 4, 1, 2, 0, 1], [1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 8, 8, 8, 4, 4, 2, 0, 1, 2], [1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 8, 6, 6, 6, 8, 2, 0, 1, 2], [0, 1, 2, 0, 1, 3, 3, 3, 3, 3, 3, 3, 3, 3, 8, 6, 6, 6, 8, 1, 2, 0, 1], [1, 2, 0, 1, 2, 3, 1, 2, 0, 1, 2, 0, 1, 2, 8, 6, 6, 6, 8, 2, 0, 1, 2], [1, 2, 0, 1, 2, 3, 1, 2, 0, 1, 2, 0, 1, 2, 8, 8, 8, 8, 8, 2, 0, 1, 2], [0, 1, 2, 0, 1, 3, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 3, 2, 0, 1, 2, 0, 1], [1, 2, 0, 1, 2, 3, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 3, 0, 1, 2, 0, 1, 2], [1, 2, 0, 1, 2, 3, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 3, 0, 1, 2, 0, 1, 2], [0, 1, 2, 0, 1, 3, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 3, 2, 0, 1, 2, 0, 1], [1, 2, 0, 1, 2, 3, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 3, 0, 1, 2, 0, 1, 2], [1, 2, 0, 1, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 0, 1, 2, 0, 1, 2], [0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1, 2, 0, 1]], "output": [[3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3], [3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3], [3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3], [3, 8, 8, 8, 8, 8, 0, 0, 0, 0, 0, 3], [3, 8, 6, 6, 6, 8, 0, 0, 0, 0, 0, 3], [3, 8, 4, 4, 6, 8, 0, 0, 0, 0, 0, 3], [3, 8, 4, 4, 6, 8, 0, 0, 0, 0, 0, 3], [3, 8, 8, 8, 8, 8, 0, 0, 0, 0, 0, 3], [3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3]]}, {"input": [[0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0], [1, 0, 3, 3, 3, 3, 3, 3, 3, 3, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1], [0, 1, 3, 8, 8, 8, 8, 8, 8, 3, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0], [1, 0, 3, 8, 8, 8, 8, 8, 8, 3, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1], [0, 1, 3, 8, 8, 8, 8, 8, 8, 3, 0, 1, 4, 4, 4, 1, 0, 1, 0, 1, 0, 1, 0], [1, 0, 3, 8, 8, 8, 8, 8, 8, 3, 1, 0, 4, 4, 4, 0, 1, 0, 1, 0, 1, 0, 1], [0, 1, 3, 8, 8, 8, 8, 8, 8, 3, 0, 1, 4, 4, 4, 1, 0, 1, 0, 1, 0, 1, 0], [1, 0, 3, 8, 8, 8, 8, 8, 8, 3, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1], [0, 1, 3, 3, 3, 3, 3, 3, 3, 3, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0], [1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1], [0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0], [1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1], [0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0], [1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1], [0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0], [1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1]], "output": [[3, 3, 3, 3, 3, 3, 3, 3], [3, 8, 8, 8, 8, 8, 8, 3], [3, 8, 8, 8, 8, 8, 8, 3], [3, 8, 8, 8, 8, 8, 8, 3], [3, 4, 4, 4, 8, 8, 8, 3], [3, 4, 4, 4, 8, 8, 8, 3], [3, 4, 4, 4, 8, 8, 8, 3], [3, 3, 3, 3, 3, 3, 3, 3]]}], "test": [{"input": [[2, 3, 3, 2, 3, 3, 2, 3, 3, 2, 3, 3, 2, 3, 3, 2, 3, 3, 2, 3, 3, 2, 3, 3, 2, 3, 3], [1, 2, 2, 1, 2, 2, 1, 2, 2, 1, 2, 2, 1, 2, 2, 1, 2, 2, 1, 2, 2, 1, 2, 2, 1, 2, 2], [3, 1, 1, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 1, 1, 3, 1, 1, 9, 9, 1, 3, 1, 1], [2, 3, 3, 8, 3, 3, 2, 3, 3, 2, 3, 3, 2, 3, 3, 8, 3, 3, 2, 3, 3, 9, 9, 3, 2, 3, 3], [1, 2, 2, 8, 2, 2, 1, 2, 2, 1, 2, 2, 1, 2, 2, 8, 2, 2, 1, 2, 2, 1, 2, 2, 1, 2, 2], [3, 1, 1, 8, 1, 1, 3, 1, 1, 3, 1, 1, 3, 1, 1, 8, 1, 1, 3, 1, 1, 3, 1, 1, 3, 1, 1], [2, 3, 3, 8, 3, 3, 2, 3, 3, 2, 6, 6, 6, 6, 6, 6, 6, 6, 6, 3, 3, 2, 3, 3, 2, 3, 3], [1, 2, 2, 8, 2, 2, 1, 2, 2, 1, 6, 2, 1, 2, 2, 8, 2, 2, 6, 2, 2, 1, 2, 2, 1, 2, 2], [3, 1, 1, 8, 1, 1, 3, 1, 1, 3, 6, 1, 3, 4, 4, 4, 4, 1, 6, 1, 1, 3, 1, 1, 3, 1, 1], [2, 3, 3, 8, 3, 3, 2, 3, 3, 2, 6, 3, 2, 4, 4, 4, 4, 3, 6, 3, 3, 2, 3, 3, 2, 3, 3], [1, 2, 2, 8, 2, 2, 1, 2, 2, 1, 6, 2, 1, 4, 4, 4, 4, 2, 6, 2, 2, 1, 2, 2, 1, 2, 2], [3, 1, 1, 8, 1, 1, 3, 1, 1, 3, 6, 1, 3, 1, 1, 8, 1, 1, 6, 1, 1, 3, 1, 1, 3, 1, 1], [2, 3, 3, 8, 3, 3, 2, 3, 3, 2, 6, 6, 6, 6, 6, 6, 6, 6, 6, 3, 3, 2, 3, 3, 2, 3, 3], [1, 2, 2, 8, 2, 2, 1, 2, 2, 1, 2, 2, 1, 2, 2, 8, 2, 2, 1, 2, 2, 1, 2, 2, 1, 2, 2], [3, 1, 1, 8, 1, 1, 3, 1, 1, 3, 1, 1, 3, 1, 1, 8, 1, 1, 3, 1, 1, 3, 1, 1, 3, 1, 1], [2, 3, 3, 8, 3, 3, 2, 3, 3, 2, 3, 3, 2, 3, 3, 8, 3, 3, 2, 3, 3, 2, 3, 3, 2, 3, 3], [1, 2, 2, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 2, 2, 1, 2, 2, 1, 2, 2, 1, 2, 2], [3, 1, 1, 3, 1, 1, 3, 1, 1, 3, 1, 1, 3, 1, 1, 3, 1, 1, 3, 1, 1, 3, 1, 1, 3, 1, 1], [2, 3, 3, 2, 3, 3, 2, 3, 3, 2, 3, 3, 2, 3, 3, 2, 3, 3, 2, 3, 3, 2, 3, 3, 2, 3, 3]]}]}
Think carefully step by step, and give the final answer.
| 3
| 1
|
[
[
[
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8
],
[
8,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
8
],
[
8,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
8
],
[
8,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
8
],
[
8,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
8
],
[
8,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
8
],
[
8,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
8
],
[
8,
6,
6,
6,
6,
6,
6,
6,
6,
6,
0,
0,
8
],
[
8,
6,
0,
0,
0,
0,
0,
0,
0,
6,
0,
0,
8
],
[
8,
6,
0,
0,
0,
0,
0,
0,
0,
6,
0,
0,
8
],
[
8,
6,
4,
4,
4,
4,
0,
0,
0,
6,
0,
0,
8
],
[
8,
6,
9,
9,
4,
4,
0,
0,
0,
6,
0,
0,
8
],
[
8,
6,
9,
9,
4,
4,
0,
0,
0,
6,
0,
0,
8
],
[
8,
6,
6,
6,
6,
6,
6,
6,
6,
6,
0,
0,
8
],
[
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8
]
]
] |
6cbe9eb8
|
|
Now you are asked to generate a new image based on the input image.
The <image><image><image><image> images are the train input images and output images, each input-output pairs are consecutive in order. You should learn the mapping law from these input to output examples.
The <image> are the test input images for which you need to generate the output images.
You should generate the test output image in text format like a python list. Each grid color is represented by a number.
The color number mapping is as follows:
0: black, 1: blue, 2: red, 3: green, 4: yellow, 5: gray-light, 6: magenta, 7: orange, 8: blue-light, 9: maroon
For example, if the output image should be a 3x3 grid, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]]] </answer>
If there are multiple test input images, you should generate the output for each image in the same format, separated by ','. In fact, you can see it as a answers list.
For example, if there are two test input images, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]], [[1, 1, 1], [2, 2, 2], [3, 3, 3], [4, 4, 4]]] </answer>
Here is this question json in text format:
{"train": [{"input": [[4, 7, 7, 7, 4, 7, 7, 7, 7, 6], [4, 7, 7, 4, 4, 4, 7, 7, 7, 6], [4, 7, 7, 7, 7, 7, 7, 7, 7, 6], [4, 7, 7, 7, 7, 6, 7, 7, 7, 6], [4, 7, 7, 7, 4, 6, 6, 6, 7, 6], [4, 7, 7, 7, 4, 7, 7, 7, 7, 6], [4, 7, 7, 6, 6, 7, 7, 7, 7, 6], [4, 7, 4, 6, 7, 7, 7, 6, 7, 6], [4, 7, 4, 4, 7, 7, 6, 6, 7, 6], [4, 7, 4, 4, 4, 7, 7, 7, 7, 6]], "output": [[4, 7, 4, 7, 7, 7, 7, 7, 7, 6], [4, 4, 4, 4, 7, 7, 7, 7, 7, 6], [4, 7, 7, 7, 7, 7, 7, 7, 7, 6], [4, 7, 7, 7, 7, 7, 6, 7, 7, 6], [4, 4, 7, 7, 7, 7, 6, 6, 6, 6], [4, 4, 7, 7, 7, 7, 7, 7, 7, 6], [4, 7, 7, 7, 7, 7, 7, 6, 6, 6], [4, 4, 7, 7, 7, 7, 7, 6, 6, 6], [4, 4, 4, 7, 7, 7, 7, 6, 6, 6], [4, 4, 4, 4, 7, 7, 7, 7, 7, 6]]}, {"input": [[9, 7, 7, 7, 7, 8, 8, 7, 8], [9, 7, 9, 9, 7, 7, 8, 7, 8], [9, 7, 9, 7, 9, 7, 7, 7, 8], [9, 7, 7, 7, 7, 7, 9, 9, 8], [9, 7, 7, 7, 7, 7, 9, 7, 8], [9, 7, 7, 7, 7, 8, 7, 7, 8], [9, 7, 7, 7, 8, 8, 8, 7, 8], [9, 7, 8, 7, 7, 8, 7, 7, 8], [9, 7, 7, 7, 7, 7, 7, 7, 8]], "output": [[9, 7, 7, 7, 7, 7, 8, 8, 8], [9, 9, 9, 7, 7, 7, 7, 8, 8], [9, 9, 7, 9, 7, 7, 7, 7, 8], [9, 9, 9, 7, 7, 7, 7, 7, 8], [9, 9, 7, 7, 7, 7, 7, 7, 8], [9, 7, 7, 7, 7, 7, 8, 7, 8], [9, 7, 7, 7, 7, 8, 8, 8, 8], [9, 7, 7, 7, 7, 8, 8, 7, 8], [9, 7, 7, 7, 7, 7, 7, 7, 8]]}], "test": [{"input": [[8, 7, 7, 7, 7, 7, 7, 7, 1], [8, 7, 1, 1, 7, 7, 7, 7, 1], [8, 7, 1, 7, 7, 7, 7, 7, 1], [8, 7, 7, 7, 7, 1, 1, 7, 1], [8, 7, 8, 7, 1, 1, 1, 7, 1], [8, 7, 8, 8, 7, 7, 7, 8, 1], [8, 7, 8, 8, 7, 1, 1, 7, 1], [8, 7, 8, 7, 1, 1, 1, 7, 1], [8, 7, 8, 7, 7, 1, 1, 7, 1]]}]}
Think carefully step by step, and give the final answer.
| 2
| 1
|
[
[
[
8,
7,
7,
7,
7,
7,
7,
7,
1
],
[
8,
7,
7,
7,
7,
7,
1,
1,
1
],
[
8,
7,
7,
7,
7,
7,
1,
7,
1
],
[
8,
7,
7,
7,
7,
7,
1,
1,
1
],
[
8,
8,
7,
7,
7,
1,
1,
1,
1
],
[
8,
8,
8,
8,
7,
7,
7,
7,
1
],
[
8,
8,
8,
7,
7,
7,
1,
1,
1
],
[
8,
8,
7,
7,
7,
1,
1,
1,
1
],
[
8,
8,
7,
7,
7,
7,
1,
1,
1
]
]
] |
f0100645
|
|
Now you are asked to generate a new image based on the input image.
The <image><image><image><image><image><image><image><image> images are the train input images and output images, each input-output pairs are consecutive in order. You should learn the mapping law from these input to output examples.
The <image> are the test input images for which you need to generate the output images.
You should generate the test output image in text format like a python list. Each grid color is represented by a number.
The color number mapping is as follows:
0: black, 1: blue, 2: red, 3: green, 4: yellow, 5: gray-light, 6: magenta, 7: orange, 8: blue-light, 9: maroon
For example, if the output image should be a 3x3 grid, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]]] </answer>
If there are multiple test input images, you should generate the output for each image in the same format, separated by ','. In fact, you can see it as a answers list.
For example, if there are two test input images, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]], [[1, 1, 1], [2, 2, 2], [3, 3, 3], [4, 4, 4]]] </answer>
Here is this question json in text format:
{"train": [{"input": [[0, 3, 3, 0], [0, 3, 0, 3], [0, 0, 3, 0], [3, 3, 3, 3], [1, 1, 1, 1], [1, 1, 0, 0], [1, 1, 0, 0], [0, 1, 1, 0]], "output": [[0, 0, 0, 0], [0, 0, 2, 0], [0, 0, 0, 2], [0, 0, 0, 0]]}, {"input": [[3, 3, 3, 3], [0, 3, 3, 0], [0, 0, 3, 3], [3, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 1], [0, 1, 0, 0], [1, 0, 0, 1]], "output": [[0, 0, 0, 0], [2, 0, 0, 0], [2, 0, 0, 0], [0, 2, 2, 0]]}, {"input": [[3, 3, 3, 3], [3, 0, 0, 0], [3, 0, 3, 3], [3, 3, 0, 3], [1, 1, 1, 0], [0, 1, 1, 1], [1, 0, 1, 1], [0, 1, 1, 1]], "output": [[0, 0, 0, 0], [0, 0, 0, 0], [0, 2, 0, 0], [0, 0, 0, 0]]}, {"input": [[0, 0, 0, 0], [0, 3, 3, 0], [0, 0, 0, 0], [3, 0, 0, 3], [0, 0, 0, 1], [1, 0, 1, 1], [1, 1, 1, 1], [0, 1, 0, 1]], "output": [[2, 2, 2, 0], [0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 2, 0]]}], "test": [{"input": [[0, 3, 0, 3], [3, 3, 3, 0], [0, 0, 0, 3], [3, 3, 3, 0], [0, 0, 1, 1], [0, 0, 1, 1], [0, 1, 0, 0], [1, 1, 0, 0]]}]}
Think carefully step by step, and give the final answer.
| 4
| 1
|
[
[
[
2,
0,
0,
0
],
[
0,
0,
0,
0
],
[
2,
0,
2,
0
],
[
0,
0,
0,
2
]
]
] |
94f9d214
|
|
Now you are asked to generate a new image based on the input image.
The <image><image><image><image> images are the train input images and output images, each input-output pairs are consecutive in order. You should learn the mapping law from these input to output examples.
The <image> are the test input images for which you need to generate the output images.
You should generate the test output image in text format like a python list. Each grid color is represented by a number.
The color number mapping is as follows:
0: black, 1: blue, 2: red, 3: green, 4: yellow, 5: gray-light, 6: magenta, 7: orange, 8: blue-light, 9: maroon
For example, if the output image should be a 3x3 grid, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]]] </answer>
If there are multiple test input images, you should generate the output for each image in the same format, separated by ','. In fact, you can see it as a answers list.
For example, if there are two test input images, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]], [[1, 1, 1], [2, 2, 2], [3, 3, 3], [4, 4, 4]]] </answer>
Here is this question json in text format:
{"train": [{"input": [[5, 5, 5, 5, 5, 5, 0, 0, 0, 0, 0, 0], [5, 5, 0, 0, 0, 5, 0, 3, 0, 0, 3, 0], [5, 5, 5, 0, 0, 5, 0, 3, 0, 0, 3, 0], [5, 5, 5, 5, 0, 5, 0, 3, 3, 3, 3, 0], [5, 5, 5, 5, 5, 5, 0, 0, 0, 0, 0, 0], [5, 0, 0, 0, 5, 5, 0, 2, 2, 2, 0, 0], [5, 0, 0, 5, 5, 5, 0, 2, 2, 0, 0, 0], [5, 0, 5, 5, 5, 5, 0, 2, 0, 0, 0, 0], [5, 5, 5, 5, 5, 5, 0, 0, 0, 0, 0, 0], [5, 0, 5, 5, 0, 5, 0, 0, 1, 1, 1, 0], [5, 0, 5, 5, 0, 5, 0, 0, 0, 1, 1, 0], [5, 0, 0, 0, 0, 5, 0, 0, 0, 0, 1, 0], [5, 5, 5, 5, 5, 5, 0, 0, 0, 0, 0, 0]], "output": [[5, 5, 5, 5, 5, 5], [5, 5, 1, 1, 1, 5], [5, 5, 5, 1, 1, 5], [5, 5, 5, 5, 1, 5], [5, 5, 5, 5, 5, 5], [5, 2, 2, 2, 5, 5], [5, 2, 2, 5, 5, 5], [5, 2, 5, 5, 5, 5], [5, 5, 5, 5, 5, 5], [5, 3, 5, 5, 3, 5], [5, 3, 5, 5, 3, 5], [5, 3, 3, 3, 3, 5], [5, 5, 5, 5, 5, 5]]}, {"input": [[1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1, 1, 0, 0, 1, 1, 0, 0, 2, 2, 0, 0], [1, 0, 0, 0, 0, 1, 0, 0, 2, 2, 0, 0], [1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1, 0, 0, 0, 0, 1, 0, 0, 3, 3, 0, 0], [1, 1, 0, 0, 1, 1, 0, 3, 3, 3, 3, 0], [1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0], [1, 1, 0, 0, 1, 1, 0, 6, 6, 6, 6, 0], [1, 1, 0, 0, 1, 1, 0, 0, 6, 6, 0, 0], [1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0]], "output": [[1, 1, 1, 1, 1, 1], [1, 1, 3, 3, 1, 1], [1, 3, 3, 3, 3, 1], [1, 1, 1, 1, 1, 1], [1, 6, 6, 6, 6, 1], [1, 1, 6, 6, 1, 1], [1, 1, 1, 1, 1, 1], [1, 1, 2, 2, 1, 1], [1, 1, 2, 2, 1, 1], [1, 1, 1, 1, 1, 1]]}], "test": [{"input": [[8, 8, 8, 8, 8, 0, 0, 0, 0, 0], [8, 0, 0, 0, 8, 0, 2, 2, 2, 0], [8, 8, 0, 8, 8, 0, 0, 0, 2, 0], [8, 0, 0, 0, 8, 0, 0, 0, 2, 0], [8, 8, 8, 8, 8, 0, 0, 0, 0, 0], [8, 0, 0, 0, 8, 0, 4, 0, 4, 0], [8, 8, 8, 0, 8, 0, 4, 0, 4, 0], [8, 8, 8, 0, 8, 0, 4, 4, 4, 0], [8, 8, 8, 8, 8, 0, 0, 0, 0, 0], [8, 0, 8, 0, 8, 0, 3, 3, 3, 0], [8, 0, 8, 0, 8, 0, 0, 3, 0, 0], [8, 0, 0, 0, 8, 0, 3, 3, 3, 0], [8, 8, 8, 8, 8, 0, 0, 0, 0, 0], [8, 8, 0, 0, 8, 0, 0, 7, 7, 0], [8, 0, 0, 0, 8, 0, 7, 7, 7, 0], [8, 0, 0, 8, 8, 0, 7, 7, 0, 0], [8, 8, 8, 8, 8, 0, 0, 0, 0, 0]]}]}
Think carefully step by step, and give the final answer.
| 2
| 1
|
[
[
[
8,
8,
8,
8,
8
],
[
8,
3,
3,
3,
8
],
[
8,
8,
3,
8,
8
],
[
8,
3,
3,
3,
8
],
[
8,
8,
8,
8,
8
],
[
8,
2,
2,
2,
8
],
[
8,
8,
8,
2,
8
],
[
8,
8,
8,
2,
8
],
[
8,
8,
8,
8,
8
],
[
8,
4,
8,
4,
8
],
[
8,
4,
8,
4,
8
],
[
8,
4,
4,
4,
8
],
[
8,
8,
8,
8,
8
],
[
8,
8,
7,
7,
8
],
[
8,
7,
7,
7,
8
],
[
8,
7,
7,
8,
8
],
[
8,
8,
8,
8,
8
]
]
] |
93b4f4b3
|
|
Now you are asked to generate a new image based on the input image.
The <image><image><image><image><image><image><image><image> images are the train input images and output images, each input-output pairs are consecutive in order. You should learn the mapping law from these input to output examples.
The <image> are the test input images for which you need to generate the output images.
You should generate the test output image in text format like a python list. Each grid color is represented by a number.
The color number mapping is as follows:
0: black, 1: blue, 2: red, 3: green, 4: yellow, 5: gray-light, 6: magenta, 7: orange, 8: blue-light, 9: maroon
For example, if the output image should be a 3x3 grid, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]]] </answer>
If there are multiple test input images, you should generate the output for each image in the same format, separated by ','. In fact, you can see it as a answers list.
For example, if there are two test input images, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]], [[1, 1, 1], [2, 2, 2], [3, 3, 3], [4, 4, 4]]] </answer>
Here is this question json in text format:
{"train": [{"input": [[0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 5, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 4, 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, 0]], "output": [[0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 5, 0, 0, 0, 0, 0], [0, 0, 2, 2, 2, 0, 0, 0], [0, 0, 2, 4, 2, 0, 0, 0], [0, 0, 2, 2, 2, 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]]}, {"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, 5, 0, 0, 4, 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, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], "output": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 2, 2, 2, 2, 2, 0, 0, 0], [0, 0, 2, 2, 2, 2, 2, 0, 0, 0], [0, 5, 2, 2, 4, 2, 2, 0, 0, 0], [0, 0, 2, 2, 2, 2, 2, 0, 0, 0], [0, 0, 2, 2, 2, 2, 2, 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]]}, {"input": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 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, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 4, 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]], "output": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0], [0, 2, 2, 2, 2, 2, 2, 2, 0, 0, 0], [0, 2, 2, 2, 2, 2, 2, 2, 0, 0, 0], [0, 2, 2, 2, 2, 2, 2, 2, 0, 0, 0], [0, 2, 2, 2, 4, 2, 2, 2, 0, 0, 0], [0, 2, 2, 2, 2, 2, 2, 2, 0, 0, 0], [0, 2, 2, 2, 2, 2, 2, 2, 0, 0, 0], [0, 2, 2, 2, 2, 2, 2, 2, 0, 0, 0]]}, {"input": [[0, 0, 0, 0, 0, 0, 5, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 4, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 5, 0], [0, 5, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 5, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [5, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 4, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 5, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 5]], "output": [[0, 0, 0, 0, 0, 0, 5, 0, 0, 0], [0, 0, 2, 2, 2, 0, 0, 0, 0, 0], [0, 0, 2, 4, 2, 0, 0, 0, 0, 0], [0, 0, 2, 2, 2, 0, 0, 0, 5, 0], [0, 5, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 5, 0, 0, 0, 0, 0], [0, 0, 0, 0, 2, 2, 2, 2, 2, 0], [5, 0, 0, 0, 2, 2, 2, 2, 2, 0], [0, 0, 0, 0, 2, 2, 4, 2, 2, 0], [0, 0, 0, 0, 2, 2, 2, 2, 2, 0], [0, 5, 0, 0, 2, 2, 2, 2, 2, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 5]]}], "test": [{"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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 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, 4, 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, 0, 0, 0, 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], [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, 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, 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, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 4, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 5, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 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], [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, 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, 4, 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, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}]}
Think carefully step by step, and give the final answer.
| 4
| 1
|
[
[
[
0,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
0,
0,
0,
0,
0,
0,
0,
0
],
[
0,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
0,
0,
0,
0,
0,
0,
0,
0
],
[
0,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
0,
0,
0,
5,
0,
0,
0,
0
],
[
0,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
0,
0,
0,
0,
0,
0,
0,
0
],
[
0,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
0,
0,
0,
0,
0,
0,
0,
0
],
[
0,
2,
2,
2,
2,
2,
4,
2,
2,
2,
2,
2,
0,
0,
0,
0,
0,
0,
0,
0
],
[
0,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
0,
0,
0,
0,
0,
0,
0,
0
],
[
0,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
0,
0,
5,
0,
0,
0,
0,
0
],
[
0,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
0,
0,
0,
0,
0,
0,
0,
0
],
[
0,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
0,
0,
0,
0,
0,
0,
0,
0
],
[
0,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
2,
0,
0,
0,
0,
0,
0,
0,
0
],
[
0,
0,
0,
5,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
[
0,
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0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
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0,
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[
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
2,
2,
2,
2,
2,
0,
0
],
[
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
2,
2,
2,
2,
2,
0,
0
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[
0,
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0,
0,
0,
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0,
5,
0,
0,
2,
2,
4,
2,
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0
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[
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
2,
2,
2,
2,
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5,
0
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[
0,
0,
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0,
0,
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2,
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2,
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[
0,
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[
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[
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[
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[
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2,
2,
2,
2,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
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],
[
0,
0,
2,
2,
2,
2,
2,
2,
2,
0,
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0,
0,
0,
0,
0,
0,
0,
0
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[
0,
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2,
2,
2,
2,
2,
2,
0,
0,
0,
0,
0,
0,
0,
0,
0,
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[
0,
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2,
2,
2,
4,
2,
2,
2,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
[
0,
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2,
2,
2,
2,
2,
2,
2,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
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[
0,
5,
2,
2,
2,
2,
2,
2,
2,
0,
0,
0,
0,
0,
0,
5,
0,
0,
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[
0,
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2,
2,
2,
2,
2,
2,
2,
0,
0,
0,
0,
0,
0,
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0,
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[
0,
0,
0,
0,
0,
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0,
0,
0,
0,
0,
0,
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0,
0,
0
]
]
] |
ff72ca3e
|
|
Now you are asked to generate a new image based on the input image.
The <image><image><image><image><image><image><image><image> images are the train input images and output images, each input-output pairs are consecutive in order. You should learn the mapping law from these input to output examples.
The <image> are the test input images for which you need to generate the output images.
You should generate the test output image in text format like a python list. Each grid color is represented by a number.
The color number mapping is as follows:
0: black, 1: blue, 2: red, 3: green, 4: yellow, 5: gray-light, 6: magenta, 7: orange, 8: blue-light, 9: maroon
For example, if the output image should be a 3x3 grid, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]]] </answer>
If there are multiple test input images, you should generate the output for each image in the same format, separated by ','. In fact, you can see it as a answers list.
For example, if there are two test input images, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]], [[1, 1, 1], [2, 2, 2], [3, 3, 3], [4, 4, 4]]] </answer>
Here is this question json in text format:
{"train": [{"input": [[3, 0, 0, 7, 3, 3, 3, 2, 2, 3, 3, 2, 0, 2, 4, 7, 2, 0], [0, 2, 4, 0, 2, 0, 7, 0, 0, 2, 0, 3, 2, 2, 2, 2, 2, 7], [7, 0, 2, 3, 0, 4, 4, 7, 2, 7, 7, 0, 4, 0, 4, 3, 0, 3], [7, 3, 0, 2, 4, 3, 7, 2, 0, 2, 0, 3, 3, 2, 2, 7, 4, 0], [0, 3, 4, 3, 2, 4, 3, 8, 0, 2, 3, 3, 4, 0, 3, 0, 3, 0], [0, 2, 2, 0, 7, 3, 8, 8, 8, 4, 3, 0, 7, 3, 4, 2, 2, 2], [2, 3, 2, 4, 7, 0, 7, 2, 0, 4, 0, 0, 0, 0, 7, 0, 4, 7], [3, 4, 7, 7, 0, 3, 2, 0, 0, 7, 3, 0, 2, 7, 4, 2, 0, 3], [2, 3, 0, 3, 3, 0, 0, 2, 2, 0, 7, 7, 3, 0, 2, 2, 2, 3], [0, 3, 3, 4, 0, 3, 0, 0, 2, 7, 3, 0, 0, 0, 2, 3, 7, 3], [0, 3, 4, 3, 0, 7, 2, 0, 3, 0, 3, 3, 0, 4, 0, 2, 3, 3], [3, 2, 0, 4, 0, 2, 7, 3, 7, 0, 3, 3, 2, 0, 0, 2, 2, 7], [2, 2, 3, 3, 4, 3, 7, 7, 2, 2, 4, 0, 0, 0, 4, 2, 3, 2], [0, 2, 0, 2, 0, 0, 4, 0, 0, 3, 7, 0, 0, 0, 4, 3, 4, 2], [0, 4, 3, 0, 0, 3, 0, 0, 7, 0, 0, 0, 2, 3, 3, 7, 4, 3]], "output": [[3, 0, 0, 7, 3, 3, 3, 2, 2, 3, 3, 2, 0, 2, 4, 7, 2, 0], [0, 2, 4, 0, 2, 0, 7, 0, 0, 2, 0, 3, 2, 2, 2, 2, 2, 7], [7, 0, 2, 3, 0, 4, 4, 7, 2, 7, 7, 0, 4, 0, 4, 3, 0, 3], [7, 3, 0, 2, 4, 3, 7, 2, 0, 2, 0, 3, 3, 2, 2, 7, 4, 0], [0, 3, 4, 3, 2, 4, 3, 8, 0, 2, 3, 3, 4, 0, 3, 0, 3, 0], [0, 2, 2, 0, 7, 3, 8, 8, 8, 4, 3, 0, 7, 3, 4, 2, 2, 2], [2, 3, 2, 4, 7, 0, 7, 2, 0, 4, 0, 0, 0, 0, 7, 0, 4, 7], [3, 4, 7, 7, 0, 3, 2, 0, 0, 7, 3, 0, 2, 7, 4, 2, 0, 3], [2, 8, 0, 3, 3, 0, 0, 2, 2, 0, 7, 7, 3, 0, 2, 2, 2, 3], [0, 8, 8, 4, 0, 3, 0, 0, 2, 7, 8, 0, 0, 0, 2, 3, 7, 3], [0, 8, 4, 3, 0, 7, 2, 0, 3, 0, 8, 8, 0, 4, 0, 2, 3, 3], [3, 2, 0, 4, 0, 2, 7, 3, 7, 0, 8, 3, 2, 0, 0, 2, 2, 7], [2, 2, 3, 3, 4, 3, 7, 7, 2, 2, 4, 0, 0, 0, 4, 2, 3, 2], [0, 2, 0, 2, 0, 0, 4, 0, 0, 3, 7, 0, 0, 0, 4, 3, 4, 2], [0, 4, 3, 0, 0, 3, 0, 0, 7, 0, 0, 0, 2, 3, 3, 7, 4, 3]]}, {"input": [[2, 7, 7, 0, 0, 3, 3, 2, 2, 0, 0, 2, 3, 3, 7, 0, 0], [0, 3, 7, 2, 2, 4, 2, 7, 4, 2, 7, 2, 2, 7, 0, 7, 2], [2, 3, 0, 3, 7, 3, 0, 2, 7, 2, 0, 2, 2, 3, 2, 3, 2], [2, 4, 7, 3, 0, 0, 4, 2, 4, 2, 4, 0, 7, 0, 3, 3, 0], [7, 3, 2, 4, 3, 2, 0, 0, 7, 2, 0, 3, 2, 2, 3, 0, 2], [2, 7, 3, 7, 2, 2, 2, 0, 2, 2, 7, 4, 2, 2, 3, 0, 3], [0, 3, 0, 0, 2, 3, 0, 2, 2, 0, 7, 7, 3, 2, 0, 0, 0], [2, 0, 0, 4, 0, 2, 2, 2, 0, 4, 4, 0, 7, 0, 0, 3, 2], [3, 2, 7, 0, 7, 8, 0, 8, 0, 4, 2, 2, 2, 2, 0, 0, 0], [7, 2, 3, 4, 3, 2, 8, 8, 2, 0, 4, 0, 3, 7, 0, 3, 2], [7, 7, 2, 2, 0, 7, 7, 4, 2, 3, 2, 7, 2, 2, 7, 2, 3], [0, 0, 0, 4, 2, 3, 0, 4, 7, 7, 3, 0, 7, 2, 0, 3, 0], [0, 0, 7, 2, 3, 0, 2, 3, 0, 3, 4, 2, 3, 3, 3, 2, 3], [7, 2, 2, 2, 2, 3, 0, 3, 0, 3, 3, 0, 7, 0, 3, 3, 2]], "output": [[2, 7, 7, 0, 0, 3, 3, 2, 2, 0, 0, 2, 3, 3, 7, 0, 0], [0, 3, 7, 2, 2, 4, 2, 7, 4, 2, 7, 2, 2, 7, 0, 7, 2], [2, 3, 0, 3, 7, 3, 0, 2, 7, 2, 0, 2, 2, 8, 2, 8, 2], [2, 4, 7, 3, 0, 0, 4, 2, 4, 2, 4, 0, 7, 0, 8, 8, 0], [7, 3, 2, 4, 3, 2, 0, 0, 7, 2, 0, 3, 2, 2, 3, 0, 2], [2, 7, 3, 7, 2, 2, 2, 0, 2, 2, 7, 4, 2, 2, 3, 0, 3], [0, 3, 0, 0, 2, 3, 0, 2, 2, 0, 7, 7, 3, 2, 0, 0, 0], [2, 0, 0, 4, 0, 2, 2, 2, 0, 4, 4, 0, 7, 0, 0, 3, 2], [3, 2, 7, 0, 7, 8, 0, 8, 0, 4, 2, 2, 2, 2, 0, 0, 0], [7, 2, 3, 4, 3, 2, 8, 8, 2, 0, 4, 0, 3, 7, 0, 3, 2], [7, 7, 2, 2, 0, 7, 7, 4, 2, 3, 2, 7, 2, 2, 7, 2, 3], [0, 0, 0, 4, 2, 3, 0, 4, 7, 7, 8, 0, 7, 2, 0, 8, 0], [0, 0, 7, 2, 3, 0, 2, 3, 0, 8, 4, 2, 3, 3, 8, 2, 3], [7, 2, 2, 2, 2, 3, 0, 3, 0, 8, 8, 0, 7, 0, 8, 8, 2]]}, {"input": [[2, 3, 2, 8, 4, 4, 0, 2, 3, 0, 2, 4, 7, 7, 3, 7, 3], [3, 4, 8, 8, 8, 0, 0, 2, 0, 2, 0, 2, 7, 7, 7, 3, 7], [7, 3, 0, 8, 0, 2, 2, 0, 2, 2, 0, 7, 3, 0, 3, 3, 3], [2, 0, 2, 0, 2, 0, 3, 2, 0, 7, 0, 7, 0, 0, 2, 3, 0], [7, 7, 4, 3, 7, 2, 0, 2, 3, 0, 3, 4, 7, 2, 0, 3, 7], [2, 4, 0, 7, 0, 0, 3, 4, 4, 0, 3, 4, 4, 3, 3, 4, 0], [3, 2, 7, 3, 7, 3, 7, 2, 0, 2, 3, 2, 3, 3, 3, 4, 4], [3, 7, 4, 0, 2, 0, 2, 0, 3, 7, 2, 3, 3, 3, 3, 0, 2], [3, 2, 3, 2, 0, 2, 0, 2, 0, 7, 2, 0, 2, 4, 4, 7, 3], [4, 3, 4, 2, 0, 7, 0, 0, 7, 0, 0, 0, 0, 3, 0, 0, 3], [2, 3, 0, 0, 4, 0, 2, 0, 3, 3, 2, 0, 4, 0, 0, 2, 2], [3, 3, 4, 3, 2, 7, 2, 4, 3, 0, 7, 3, 3, 4, 2, 0, 3], [2, 0, 7, 7, 0, 3, 7, 4, 3, 7, 0, 2, 0, 3, 7, 0, 2], [2, 3, 0, 0, 2, 3, 0, 7, 0, 7, 3, 7, 0, 4, 0, 3, 7], [2, 0, 2, 2, 7, 2, 0, 0, 2, 2, 3, 0, 0, 3, 7, 0, 3], [7, 2, 4, 0, 3, 0, 0, 2, 2, 7, 4, 0, 0, 2, 2, 0, 4], [0, 0, 3, 0, 4, 4, 7, 7, 4, 2, 0, 0, 3, 7, 0, 2, 0], [2, 3, 4, 0, 3, 0, 3, 3, 2, 3, 4, 7, 7, 0, 2, 0, 3]], "output": [[2, 3, 2, 8, 4, 4, 0, 2, 3, 0, 2, 4, 7, 7, 3, 7, 3], [3, 4, 8, 8, 8, 0, 0, 2, 0, 2, 0, 2, 7, 7, 7, 8, 7], [7, 3, 0, 8, 0, 2, 2, 0, 2, 2, 0, 7, 3, 0, 8, 8, 8], [2, 0, 2, 0, 2, 0, 3, 2, 0, 7, 0, 7, 0, 0, 2, 8, 0], [7, 7, 4, 3, 7, 2, 0, 2, 3, 0, 3, 4, 7, 2, 0, 3, 7], [2, 4, 0, 7, 0, 0, 3, 4, 4, 0, 3, 4, 4, 8, 3, 4, 0], [3, 2, 7, 3, 7, 3, 7, 2, 0, 2, 3, 2, 8, 8, 8, 4, 4], [3, 7, 4, 0, 2, 0, 2, 0, 3, 7, 2, 3, 3, 8, 3, 0, 2], [3, 2, 3, 2, 0, 2, 0, 2, 0, 7, 2, 0, 2, 4, 4, 7, 3], [4, 3, 4, 2, 0, 7, 0, 0, 7, 0, 0, 0, 0, 3, 0, 0, 3], [2, 3, 0, 0, 4, 0, 2, 0, 3, 3, 2, 0, 4, 0, 0, 2, 2], [3, 3, 4, 3, 2, 7, 2, 4, 3, 0, 7, 3, 3, 4, 2, 0, 3], [2, 0, 7, 7, 0, 3, 7, 4, 3, 7, 0, 2, 0, 3, 7, 0, 2], [2, 3, 0, 0, 2, 3, 0, 7, 0, 7, 3, 7, 0, 4, 0, 3, 7], [2, 0, 2, 2, 7, 2, 0, 0, 2, 2, 3, 0, 0, 3, 7, 0, 3], [7, 2, 4, 0, 3, 0, 0, 2, 2, 7, 4, 0, 0, 2, 2, 0, 4], [0, 0, 3, 0, 4, 4, 7, 7, 4, 2, 0, 0, 3, 7, 0, 2, 0], [2, 3, 4, 0, 3, 0, 3, 3, 2, 3, 4, 7, 7, 0, 2, 0, 3]]}, {"input": [[2, 2, 0, 7, 0, 3, 2, 7, 0, 2, 7, 0, 3, 2, 7, 0, 0, 3], [2, 2, 0, 0, 2, 3, 3, 4, 0, 0, 7, 0, 0, 0, 0, 0, 0, 7], [4, 2, 7, 2, 7, 0, 4, 0, 0, 7, 2, 0, 3, 0, 7, 3, 2, 0], [3, 7, 2, 2, 7, 0, 0, 3, 0, 2, 4, 0, 2, 4, 0, 4, 3, 3], [2, 4, 3, 2, 0, 4, 3, 2, 3, 2, 0, 0, 8, 8, 8, 7, 0, 2], [2, 7, 3, 2, 7, 0, 0, 2, 3, 3, 3, 7, 0, 8, 2, 2, 2, 0], [0, 2, 2, 2, 0, 3, 2, 7, 3, 3, 7, 0, 0, 8, 0, 0, 0, 0], [4, 2, 7, 3, 0, 3, 0, 7, 2, 7, 2, 0, 4, 2, 7, 7, 0, 0], [0, 0, 2, 0, 2, 0, 4, 7, 4, 0, 0, 2, 2, 2, 3, 3, 3, 0], [2, 0, 4, 7, 0, 7, 0, 3, 2, 4, 2, 0, 0, 2, 0, 0, 2, 7], [7, 4, 2, 7, 4, 3, 3, 7, 2, 2, 0, 0, 7, 7, 0, 7, 0, 4]], "output": [[2, 2, 0, 7, 0, 3, 2, 7, 0, 2, 7, 0, 3, 2, 7, 0, 0, 3], [2, 2, 0, 0, 2, 3, 3, 4, 0, 0, 7, 0, 0, 0, 0, 0, 0, 7], [4, 2, 7, 2, 7, 0, 4, 0, 0, 7, 2, 0, 3, 0, 7, 3, 2, 0], [3, 7, 2, 2, 7, 0, 0, 3, 0, 2, 4, 0, 2, 4, 0, 4, 3, 3], [2, 4, 3, 2, 0, 4, 3, 2, 8, 2, 0, 0, 8, 8, 8, 7, 0, 2], [2, 7, 3, 2, 7, 0, 0, 2, 8, 8, 8, 7, 0, 8, 2, 2, 2, 0], [0, 2, 2, 2, 0, 3, 2, 7, 8, 3, 7, 0, 0, 8, 0, 0, 0, 0], [4, 2, 7, 3, 0, 3, 0, 7, 2, 7, 2, 0, 4, 2, 7, 7, 0, 0], [0, 0, 2, 0, 2, 0, 4, 7, 4, 0, 0, 2, 2, 2, 3, 3, 3, 0], [2, 0, 4, 7, 0, 7, 0, 3, 2, 4, 2, 0, 0, 2, 0, 0, 2, 7], [7, 4, 2, 7, 4, 3, 3, 7, 2, 2, 0, 0, 7, 7, 0, 7, 0, 4]]}], "test": [{"input": [[7, 3, 2, 2, 4, 3, 7, 2, 7, 0, 7, 3, 4, 0, 3, 2, 4], [0, 2, 2, 2, 2, 3, 0, 3, 3, 0, 3, 2, 0, 0, 3, 0, 7], [3, 2, 0, 3, 7, 0, 2, 2, 2, 3, 7, 0, 3, 3, 0, 2, 2], [4, 2, 7, 7, 0, 0, 2, 0, 0, 0, 7, 4, 3, 2, 3, 7, 2], [7, 0, 8, 3, 0, 7, 3, 3, 0, 2, 3, 0, 4, 0, 0, 7, 0], [3, 4, 8, 8, 3, 2, 0, 0, 3, 4, 2, 4, 0, 3, 3, 2, 4], [2, 3, 0, 8, 0, 0, 2, 4, 0, 4, 4, 0, 0, 7, 2, 3, 0], [2, 4, 0, 3, 0, 0, 2, 2, 3, 2, 7, 3, 3, 7, 0, 4, 0], [2, 7, 7, 4, 0, 3, 0, 2, 7, 7, 0, 4, 7, 0, 7, 3, 3], [0, 0, 7, 3, 4, 0, 2, 3, 0, 7, 4, 3, 2, 3, 0, 7, 3], [2, 7, 0, 3, 4, 7, 3, 4, 0, 4, 0, 0, 0, 3, 3, 7, 2], [4, 3, 0, 2, 3, 0, 4, 0, 4, 3, 3, 2, 2, 3, 3, 0, 3], [4, 7, 0, 7, 3, 3, 2, 3, 3, 0, 7, 0, 0, 0, 0, 4, 7], [3, 3, 3, 3, 0, 4, 3, 4, 4, 7, 3, 7, 0, 0, 0, 3, 0], [0, 2, 2, 3, 3, 3, 0, 7, 3, 2, 7, 3, 4, 3, 3, 3, 3], [3, 3, 3, 4, 7, 4, 3, 3, 3, 0, 0, 4, 0, 7, 0, 4, 3]]}]}
Think carefully step by step, and give the final answer.
| 4
| 1
|
[
[
[
7,
3,
2,
2,
4,
3,
7,
2,
7,
0,
7,
3,
4,
0,
3,
2,
4
],
[
0,
2,
2,
2,
2,
3,
0,
3,
3,
0,
3,
2,
0,
0,
3,
0,
7
],
[
3,
2,
0,
3,
7,
0,
2,
2,
2,
3,
7,
0,
3,
3,
0,
2,
2
],
[
4,
2,
7,
7,
0,
0,
2,
0,
0,
0,
7,
4,
3,
2,
3,
7,
2
],
[
7,
0,
8,
3,
0,
7,
3,
3,
0,
2,
3,
0,
4,
0,
0,
7,
0
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[
3,
4,
8,
8,
3,
2,
0,
0,
3,
4,
2,
4,
0,
3,
3,
2,
4
],
[
2,
3,
0,
8,
0,
0,
2,
4,
0,
4,
4,
0,
0,
7,
2,
3,
0
],
[
2,
4,
0,
3,
0,
0,
2,
2,
3,
2,
7,
3,
3,
7,
0,
4,
0
],
[
2,
7,
7,
4,
0,
3,
0,
2,
7,
7,
0,
4,
7,
0,
7,
3,
3
],
[
0,
0,
7,
3,
4,
0,
2,
3,
0,
7,
4,
3,
2,
8,
0,
7,
3
],
[
2,
7,
0,
3,
4,
7,
3,
4,
0,
4,
0,
0,
0,
8,
8,
7,
2
],
[
4,
3,
0,
2,
3,
0,
4,
0,
4,
3,
3,
2,
2,
3,
8,
0,
3
],
[
4,
7,
0,
7,
3,
3,
2,
3,
3,
0,
7,
0,
0,
0,
0,
4,
7
],
[
3,
3,
8,
8,
0,
4,
3,
4,
4,
7,
3,
7,
0,
0,
0,
8,
0
],
[
0,
2,
2,
8,
8,
3,
0,
7,
3,
2,
7,
3,
4,
3,
3,
8,
8
],
[
3,
3,
3,
4,
7,
4,
3,
3,
3,
0,
0,
4,
0,
7,
0,
4,
8
]
]
] |
50f325b5
|
|
Now you are asked to generate a new image based on the input image.
The <image><image><image><image><image><image> images are the train input images and output images, each input-output pairs are consecutive in order. You should learn the mapping law from these input to output examples.
The <image> are the test input images for which you need to generate the output images.
You should generate the test output image in text format like a python list. Each grid color is represented by a number.
The color number mapping is as follows:
0: black, 1: blue, 2: red, 3: green, 4: yellow, 5: gray-light, 6: magenta, 7: orange, 8: blue-light, 9: maroon
For example, if the output image should be a 3x3 grid, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]]] </answer>
If there are multiple test input images, you should generate the output for each image in the same format, separated by ','. In fact, you can see it as a answers list.
For example, if there are two test input images, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]], [[1, 1, 1], [2, 2, 2], [3, 3, 3], [4, 4, 4]]] </answer>
Here is this question json in text format:
{"train": [{"input": [[9, 6, 5, 7, 7, 7, 7], [8, 7, 1, 7, 7, 7, 7], [0, 8, 9, 7, 7, 7, 7], [7, 7, 7, 7, 7, 7, 7], [7, 7, 7, 1, 8, 4, 7], [7, 7, 7, 4, 7, 6, 7], [7, 7, 7, 6, 2, 4, 7]], "output": [[5, 8, 9, 7, 7, 7, 7], [8, 7, 6, 7, 7, 7, 7], [9, 1, 0, 7, 7, 7, 7], [7, 7, 7, 7, 7, 7, 7], [7, 7, 7, 4, 4, 4, 7], [7, 7, 7, 2, 7, 8, 7], [7, 7, 7, 1, 6, 6, 7]]}, {"input": [[7, 7, 7, 7, 7, 7, 7], [7, 7, 7, 7, 7, 7, 7], [7, 7, 5, 2, 8, 7, 7], [7, 7, 1, 7, 9, 7, 7], [7, 7, 4, 3, 0, 7, 7], [7, 7, 7, 7, 7, 7, 7], [7, 7, 7, 7, 7, 7, 7]], "output": [[7, 7, 7, 7, 7, 7, 7], [7, 7, 7, 7, 7, 7, 7], [7, 7, 8, 1, 0, 7, 7], [7, 7, 3, 7, 2, 7, 7], [7, 7, 5, 9, 4, 7, 7], [7, 7, 7, 7, 7, 7, 7], [7, 7, 7, 7, 7, 7, 7]]}, {"input": [[7, 7, 7, 7, 7, 7, 7], [7, 7, 7, 6, 5, 5, 7], [7, 7, 7, 5, 7, 6, 7], [7, 7, 7, 1, 5, 1, 7], [8, 8, 8, 7, 7, 7, 7], [9, 7, 9, 7, 7, 7, 7], [0, 0, 0, 7, 7, 7, 7]], "output": [[7, 7, 7, 7, 7, 7, 7], [7, 7, 7, 5, 5, 1, 7], [7, 7, 7, 5, 7, 5, 7], [7, 7, 7, 6, 6, 1, 7], [8, 9, 0, 7, 7, 7, 7], [0, 7, 8, 7, 7, 7, 7], [8, 9, 0, 7, 7, 7, 7]]}], "test": [{"input": [[7, 7, 7, 7, 7, 7, 7], [2, 6, 5, 7, 7, 7, 7], [1, 7, 9, 7, 0, 1, 9], [4, 0, 9, 7, 6, 7, 1], [7, 7, 7, 7, 5, 9, 2], [7, 7, 7, 7, 7, 7, 7], [7, 7, 7, 7, 7, 7, 7]]}]}
Think carefully step by step, and give the final answer.
| 3
| 1
|
[
[
[
7,
7,
7,
7,
7,
7,
7
],
[
5,
1,
9,
7,
7,
7,
7
],
[
0,
7,
6,
7,
9,
6,
2
],
[
2,
9,
4,
7,
9,
7,
1
],
[
7,
7,
7,
7,
0,
1,
5
],
[
7,
7,
7,
7,
7,
7,
7
],
[
7,
7,
7,
7,
7,
7,
7
]
]
] |
46c35fc7
|
|
Now you are asked to generate a new image based on the input image.
The <image><image><image><image><image><image> images are the train input images and output images, each input-output pairs are consecutive in order. You should learn the mapping law from these input to output examples.
The <image> are the test input images for which you need to generate the output images.
You should generate the test output image in text format like a python list. Each grid color is represented by a number.
The color number mapping is as follows:
0: black, 1: blue, 2: red, 3: green, 4: yellow, 5: gray-light, 6: magenta, 7: orange, 8: blue-light, 9: maroon
For example, if the output image should be a 3x3 grid, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]]] </answer>
If there are multiple test input images, you should generate the output for each image in the same format, separated by ','. In fact, you can see it as a answers list.
For example, if there are two test input images, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]], [[1, 1, 1], [2, 2, 2], [3, 3, 3], [4, 4, 4]]] </answer>
Here is this question json in text format:
{"train": [{"input": [[8, 6, 0, 6], [6, 8, 6, 8], [8, 6, 8, 6], [6, 8, 6, 8]], "output": [[8]]}, {"input": [[2, 1, 2, 1, 2], [1, 1, 1, 1, 1], [2, 1, 2, 1, 2], [0, 0, 1, 1, 1], [0, 0, 2, 1, 2]], "output": [[1, 1], [2, 1]]}, {"input": [[2, 2, 5, 2, 2, 5, 2], [2, 2, 5, 2, 2, 5, 2], [5, 5, 5, 5, 5, 5, 5], [2, 2, 5, 2, 2, 5, 2], [2, 2, 5, 2, 2, 5, 2], [5, 5, 5, 5, 5, 0, 0], [2, 2, 5, 2, 2, 0, 0]], "output": [[5, 5], [5, 2]]}], "test": [{"input": [[8, 1, 8, 8, 0, 0, 0], [1, 8, 8, 1, 0, 0, 0], [8, 8, 1, 8, 0, 0, 0], [8, 1, 8, 8, 1, 8, 8], [1, 8, 8, 1, 8, 8, 1], [8, 8, 1, 8, 8, 1, 8], [8, 1, 8, 8, 1, 8, 8]]}]}
Think carefully step by step, and give the final answer.
| 3
| 1
|
[
[
[
1,
8,
8
],
[
8,
8,
1
],
[
8,
1,
8
]
]
] |
f9012d9b
|
|
Now you are asked to generate a new image based on the input image.
The <image><image><image><image> images are the train input images and output images, each input-output pairs are consecutive in order. You should learn the mapping law from these input to output examples.
The <image> are the test input images for which you need to generate the output images.
You should generate the test output image in text format like a python list. Each grid color is represented by a number.
The color number mapping is as follows:
0: black, 1: blue, 2: red, 3: green, 4: yellow, 5: gray-light, 6: magenta, 7: orange, 8: blue-light, 9: maroon
For example, if the output image should be a 3x3 grid, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]]] </answer>
If there are multiple test input images, you should generate the output for each image in the same format, separated by ','. In fact, you can see it as a answers list.
For example, if there are two test input images, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]], [[1, 1, 1], [2, 2, 2], [3, 3, 3], [4, 4, 4]]] </answer>
Here is this question json in text format:
{"train": [{"input": [[0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 5, 0], [0, 0, 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, 0, 0, 0, 0, 0, 5, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 5, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0]], "output": [[0, 0, 0, 0, 0, 0, 1, 1, 1], [0, 0, 1, 1, 1, 0, 1, 5, 1], [0, 0, 1, 5, 1, 0, 1, 1, 1], [0, 0, 1, 1, 1, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 1, 1, 1], [0, 0, 0, 0, 0, 0, 1, 5, 1], [0, 0, 1, 1, 1, 0, 1, 1, 1], [0, 0, 1, 5, 1, 0, 0, 0, 0], [0, 0, 1, 1, 1, 0, 0, 0, 0]]}, {"input": [[0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 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, 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, 5, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0]], "output": [[0, 0, 0, 0, 0, 1, 1, 1, 0], [0, 0, 0, 0, 0, 1, 5, 1, 0], [0, 0, 0, 0, 0, 1, 1, 1, 0], [0, 0, 1, 1, 1, 0, 0, 0, 0], [0, 0, 1, 5, 1, 0, 0, 0, 0], [0, 0, 1, 1, 1, 0, 0, 0, 0], [1, 1, 1, 0, 0, 0, 0, 0, 0], [1, 5, 1, 0, 0, 0, 0, 0, 0], [1, 1, 1, 0, 0, 0, 0, 0, 0]]}], "test": [{"input": [[0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 5, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 5, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 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, 5, 0, 0, 0, 5, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0]]}]}
Think carefully step by step, and give the final answer.
| 2
| 1
|
[
[
[
1,
1,
1,
0,
0,
0,
0,
0,
0
],
[
1,
5,
1,
0,
0,
0,
1,
1,
1
],
[
1,
1,
1,
0,
0,
0,
1,
5,
1
],
[
0,
0,
1,
1,
1,
0,
1,
1,
1
],
[
0,
0,
1,
5,
1,
0,
0,
0,
0
],
[
0,
0,
1,
1,
1,
0,
0,
0,
0
],
[
1,
1,
1,
0,
1,
1,
1,
0,
0
],
[
1,
5,
1,
0,
1,
5,
1,
0,
0
],
[
1,
1,
1,
0,
1,
1,
1,
0,
0
]
]
] |
4258a5f9
|
|
Now you are asked to generate a new image based on the input image.
The <image><image><image><image> images are the train input images and output images, each input-output pairs are consecutive in order. You should learn the mapping law from these input to output examples.
The <image> are the test input images for which you need to generate the output images.
You should generate the test output image in text format like a python list. Each grid color is represented by a number.
The color number mapping is as follows:
0: black, 1: blue, 2: red, 3: green, 4: yellow, 5: gray-light, 6: magenta, 7: orange, 8: blue-light, 9: maroon
For example, if the output image should be a 3x3 grid, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]]] </answer>
If there are multiple test input images, you should generate the output for each image in the same format, separated by ','. In fact, you can see it as a answers list.
For example, if there are two test input images, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]], [[1, 1, 1], [2, 2, 2], [3, 3, 3], [4, 4, 4]]] </answer>
Here is this question json in text format:
{"train": [{"input": [[0, 8, 0, 0, 0, 0], [0, 8, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 2, 2], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0]], "output": [[0, 8, 0, 0, 0, 0], [0, 8, 0, 0, 0, 0], [0, 8, 0, 0, 0, 0], [2, 4, 2, 2, 2, 2], [0, 8, 0, 0, 0, 0], [0, 8, 0, 0, 0, 0]]}, {"input": [[0, 0, 0, 0, 8, 0], [0, 0, 0, 0, 8, 0], [2, 2, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0]], "output": [[0, 0, 0, 0, 8, 0], [0, 0, 0, 0, 8, 0], [2, 2, 2, 2, 4, 2], [0, 0, 0, 0, 8, 0], [0, 0, 0, 0, 8, 0], [0, 0, 0, 0, 8, 0]]}], "test": [{"input": [[0, 0, 0, 8, 0, 0], [0, 0, 0, 8, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [2, 2, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0]]}]}
Think carefully step by step, and give the final answer.
| 2
| 1
|
[
[
[
0,
0,
0,
8,
0,
0
],
[
0,
0,
0,
8,
0,
0
],
[
0,
0,
0,
8,
0,
0
],
[
0,
0,
0,
8,
0,
0
],
[
2,
2,
2,
4,
2,
2
],
[
0,
0,
0,
8,
0,
0
]
]
] |
bdad9b1f
|
|
Now you are asked to generate a new image based on the input image.
The <image><image><image><image><image><image> images are the train input images and output images, each input-output pairs are consecutive in order. You should learn the mapping law from these input to output examples.
The <image> are the test input images for which you need to generate the output images.
You should generate the test output image in text format like a python list. Each grid color is represented by a number.
The color number mapping is as follows:
0: black, 1: blue, 2: red, 3: green, 4: yellow, 5: gray-light, 6: magenta, 7: orange, 8: blue-light, 9: maroon
For example, if the output image should be a 3x3 grid, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]]] </answer>
If there are multiple test input images, you should generate the output for each image in the same format, separated by ','. In fact, you can see it as a answers list.
For example, if there are two test input images, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]], [[1, 1, 1], [2, 2, 2], [3, 3, 3], [4, 4, 4]]] </answer>
Here is this question json in text format:
{"train": [{"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, 2, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 0], [0, 0, 2, 0, 2, 0, 0, 2, 0, 2, 0, 0, 2, 0, 2, 0], [0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 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, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0], [0, 0, 2, 0, 0, 0, 0, 2, 0, 2, 0, 0, 0, 0, 0, 0], [0, 2, 0, 2, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0], [0, 0, 2, 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, 0, 0]], "output": [[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, 2, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 0], [0, 0, 2, 0, 2, 1, 1, 2, 0, 2, 1, 1, 2, 0, 2, 0], [0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0], [0, 0, 2, 0, 0, 0, 0, 2, 0, 2, 0, 0, 0, 0, 0, 0], [0, 2, 0, 2, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0], [0, 0, 2, 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, 0, 0]]}, {"input": [[0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0], [0, 0, 2, 0, 2, 0, 0, 0, 0, 2, 0, 2, 0, 0, 0], [0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 2, 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, 2, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 2, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 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, 0, 0, 0, 0, 0, 0]], "output": [[0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0], [0, 0, 2, 0, 2, 1, 1, 1, 1, 2, 0, 2, 0, 0, 0], [0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 2, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 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, 0, 0, 0, 0, 0, 0]]}, {"input": [[0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 2, 0, 2, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0], [0, 0, 0, 2, 0, 2, 0, 0, 0, 0, 2, 0, 2, 0, 0], [0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 2, 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, 2, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0], [0, 0, 0, 2, 0, 2, 0, 0, 0, 0, 2, 0, 2, 0, 0], [0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], "output": [[0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 2, 0, 2, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0], [0, 0, 0, 2, 0, 2, 1, 1, 1, 1, 2, 0, 2, 0, 0], [0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0], [0, 0, 0, 2, 0, 2, 1, 1, 1, 1, 2, 0, 2, 0, 0], [0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}], "test": [{"input": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 2, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 2, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 2, 0, 2, 0, 0, 0, 0, 0, 0], [0, 0, 2, 0, 0, 0, 0, 2, 0, 0, 2, 0, 0, 0, 0], [0, 2, 0, 2, 0, 0, 0, 0, 0, 2, 0, 2, 0, 0, 0], [0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}]}
Think carefully step by step, and give the final answer.
| 3
| 1
|
[
[
[
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
[
0,
0,
2,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
[
0,
2,
0,
2,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
[
0,
0,
2,
0,
0,
0,
0,
2,
0,
0,
0,
0,
0,
0,
0
],
[
0,
0,
1,
0,
0,
0,
2,
0,
2,
0,
0,
0,
0,
0,
0
],
[
0,
0,
2,
0,
0,
0,
0,
2,
0,
0,
2,
0,
0,
0,
0
],
[
0,
2,
0,
2,
1,
1,
1,
1,
1,
2,
0,
2,
0,
0,
0
],
[
0,
0,
2,
0,
0,
0,
0,
0,
0,
0,
2,
0,
0,
0,
0
],
[
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
]
]
] |
60a26a3e
|
|
Now you are asked to generate a new image based on the input image.
The <image><image><image><image><image><image><image><image> images are the train input images and output images, each input-output pairs are consecutive in order. You should learn the mapping law from these input to output examples.
The <image> are the test input images for which you need to generate the output images.
You should generate the test output image in text format like a python list. Each grid color is represented by a number.
The color number mapping is as follows:
0: black, 1: blue, 2: red, 3: green, 4: yellow, 5: gray-light, 6: magenta, 7: orange, 8: blue-light, 9: maroon
For example, if the output image should be a 3x3 grid, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]]] </answer>
If there are multiple test input images, you should generate the output for each image in the same format, separated by ','. In fact, you can see it as a answers list.
For example, if there are two test input images, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]], [[1, 1, 1], [2, 2, 2], [3, 3, 3], [4, 4, 4]]] </answer>
Here is this question json in text format:
{"train": [{"input": [[0, 5, 5, 4, 0, 0, 0, 0, 0, 0, 0, 5, 5, 5, 5], [0, 0, 4, 0, 0, 5, 5, 4, 5, 0, 0, 5, 0, 5, 5], [5, 0, 5, 0, 0, 0, 4, 4, 5, 0, 5, 5, 5, 0, 5], [5, 0, 0, 5, 0, 5, 5, 4, 0, 0, 0, 5, 5, 0, 5], [5, 5, 0, 5, 0, 5, 0, 0, 0, 5, 5, 0, 0, 5, 0], [0, 5, 0, 0, 5, 0, 5, 5, 0, 0, 5, 5, 5, 0, 0], [5, 5, 0, 5, 5, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0], [5, 5, 4, 0, 5, 0, 5, 0, 0, 5, 0, 5, 0, 5, 5], [5, 4, 5, 4, 0, 5, 5, 0, 4, 5, 4, 5, 0, 5, 0], [5, 5, 5, 0, 0, 5, 5, 0, 0, 4, 0, 5, 0, 5, 5], [0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 5], [0, 5, 0, 0, 5, 0, 5, 0, 0, 5, 5, 0, 5, 0, 0], [0, 0, 0, 0, 0, 5, 0, 5, 5, 0, 0, 0, 0, 0, 5], [0, 5, 0, 0, 5, 5, 5, 5, 0, 5, 0, 5, 0, 0, 0]], "output": [[0, 2, 2, 4, 0, 0, 0, 0, 0, 0, 0, 5, 5, 5, 5], [0, 0, 4, 0, 0, 5, 5, 4, 5, 0, 0, 5, 0, 5, 5], [5, 0, 5, 0, 0, 0, 4, 4, 2, 0, 5, 5, 5, 0, 5], [5, 0, 0, 5, 0, 5, 5, 4, 0, 0, 0, 5, 5, 0, 5], [5, 5, 0, 5, 0, 5, 0, 0, 0, 5, 5, 0, 0, 5, 0], [0, 5, 0, 0, 5, 0, 5, 5, 0, 0, 5, 5, 5, 0, 0], [5, 5, 0, 5, 5, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0], [5, 5, 4, 0, 5, 0, 5, 0, 0, 2, 0, 5, 0, 5, 5], [5, 4, 2, 4, 0, 5, 5, 0, 4, 2, 4, 5, 0, 5, 0], [5, 5, 2, 0, 0, 5, 5, 0, 0, 4, 0, 5, 0, 5, 5], [0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 5], [0, 5, 0, 0, 5, 0, 5, 0, 0, 5, 5, 0, 5, 0, 0], [0, 0, 0, 0, 0, 5, 0, 5, 5, 0, 0, 0, 0, 0, 5], [0, 5, 0, 0, 5, 5, 5, 5, 0, 5, 0, 5, 0, 0, 0]]}, {"input": [[0, 5, 0, 0, 5, 5, 0, 0, 0, 5, 5, 0, 5, 0, 0, 5], [5, 5, 0, 0, 0, 0, 5, 0, 5, 0, 0, 5, 5, 5, 0, 0], [0, 0, 4, 5, 0, 5, 0, 5, 5, 0, 0, 4, 5, 5, 5, 0], [0, 5, 5, 4, 0, 0, 5, 0, 0, 5, 0, 0, 4, 0, 0, 5], [0, 0, 4, 5, 0, 0, 5, 0, 5, 0, 0, 0, 0, 0, 5, 0], [0, 0, 0, 5, 0, 5, 5, 5, 5, 0, 5, 0, 5, 5, 0, 5], [5, 0, 5, 0, 0, 4, 5, 4, 5, 5, 5, 5, 0, 5, 0, 0], [0, 0, 0, 0, 5, 5, 4, 5, 5, 0, 0, 0, 0, 0, 0, 5], [0, 0, 5, 5, 0, 0, 5, 0, 5, 5, 0, 5, 5, 4, 5, 0], [0, 0, 5, 0, 0, 5, 0, 0, 0, 5, 5, 0, 5, 5, 4, 5], [5, 0, 0, 4, 0, 0, 0, 0, 5, 0, 0, 0, 0, 5, 5, 5], [5, 5, 4, 5, 4, 5, 0, 5, 5, 5, 0, 0, 0, 0, 5, 5], [5, 0, 0, 5, 5, 5, 0, 5, 4, 5, 4, 0, 5, 0, 0, 0], [5, 0, 0, 5, 5, 0, 0, 5, 0, 4, 0, 0, 0, 5, 5, 0], [5, 5, 5, 5, 5, 0, 0, 0, 5, 5, 5, 0, 5, 5, 0, 0], [5, 5, 5, 5, 0, 0, 0, 0, 5, 0, 5, 5, 5, 5, 0, 5], [5, 0, 5, 0, 0, 0, 0, 0, 5, 0, 5, 0, 5, 5, 0, 0], [5, 0, 0, 0, 0, 5, 0, 0, 5, 5, 5, 5, 0, 0, 0, 5]], "output": [[0, 5, 0, 0, 5, 5, 0, 0, 0, 5, 5, 0, 5, 0, 0, 5], [5, 5, 0, 0, 0, 0, 5, 0, 5, 0, 0, 5, 2, 5, 0, 0], [0, 0, 4, 5, 0, 5, 0, 5, 5, 0, 0, 4, 2, 2, 5, 0], [0, 2, 2, 4, 0, 0, 5, 0, 0, 5, 0, 0, 4, 0, 0, 5], [0, 0, 4, 5, 0, 0, 5, 0, 5, 0, 0, 0, 0, 0, 5, 0], [0, 0, 0, 5, 0, 5, 2, 5, 5, 0, 5, 0, 5, 5, 0, 5], [5, 0, 5, 0, 0, 4, 2, 4, 5, 5, 5, 5, 0, 5, 0, 0], [0, 0, 0, 0, 5, 5, 4, 5, 5, 0, 0, 0, 0, 0, 0, 5], [0, 0, 5, 5, 0, 0, 5, 0, 5, 5, 0, 5, 5, 4, 5, 0], [0, 0, 5, 0, 0, 5, 0, 0, 0, 5, 5, 0, 2, 2, 4, 5], [5, 0, 0, 4, 0, 0, 0, 0, 5, 0, 0, 0, 0, 2, 5, 5], [5, 5, 4, 2, 4, 5, 0, 5, 5, 2, 0, 0, 0, 0, 5, 5], [5, 0, 0, 2, 5, 5, 0, 5, 4, 2, 4, 0, 5, 0, 0, 0], [5, 0, 0, 5, 5, 0, 0, 5, 0, 4, 0, 0, 0, 5, 5, 0], [5, 5, 5, 5, 5, 0, 0, 0, 5, 5, 5, 0, 5, 5, 0, 0], [5, 5, 5, 5, 0, 0, 0, 0, 5, 0, 5, 5, 5, 5, 0, 5], [5, 0, 5, 0, 0, 0, 0, 0, 5, 0, 5, 0, 5, 5, 0, 0], [5, 0, 0, 0, 0, 5, 0, 0, 5, 5, 5, 5, 0, 0, 0, 5]]}, {"input": [[0, 0, 5, 0, 0, 0, 0, 0, 0, 5, 0, 0, 5, 0, 0], [0, 5, 0, 0, 0, 5, 5, 5, 0, 5, 5, 0, 5, 5, 5], [0, 0, 5, 0, 0, 0, 5, 5, 0, 5, 0, 0, 5, 5, 5], [5, 5, 5, 4, 5, 0, 0, 0, 4, 4, 5, 0, 5, 0, 5], [0, 5, 4, 5, 0, 0, 0, 0, 0, 5, 0, 5, 0, 0, 5], [5, 0, 5, 0, 5, 0, 0, 0, 0, 0, 0, 5, 5, 0, 5], [0, 0, 0, 5, 0, 5, 0, 0, 0, 0, 0, 0, 0, 5, 5], [5, 5, 0, 0, 5, 5, 0, 5, 0, 5, 5, 0, 0, 0, 0], [5, 0, 5, 0, 0, 5, 5, 5, 4, 5, 0, 0, 0, 5, 0], [0, 4, 5, 5, 0, 0, 5, 4, 5, 5, 5, 5, 0, 0, 0], [0, 5, 4, 5, 0, 5, 5, 5, 0, 0, 0, 0, 5, 0, 5], [0, 0, 5, 0, 0, 0, 5, 5, 0, 0, 5, 0, 5, 0, 0], [0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 5, 0, 5, 5, 5], [0, 0, 0, 5, 5, 5, 0, 5, 0, 0, 5, 5, 0, 5, 0]], "output": [[0, 0, 5, 0, 0, 0, 0, 0, 0, 5, 0, 0, 5, 0, 0], [0, 5, 0, 0, 0, 5, 5, 5, 0, 5, 5, 0, 5, 5, 5], [0, 0, 2, 0, 0, 0, 5, 5, 0, 2, 0, 0, 5, 5, 5], [5, 2, 2, 4, 5, 0, 0, 0, 4, 4, 2, 0, 5, 0, 5], [0, 5, 4, 5, 0, 0, 0, 0, 0, 2, 0, 5, 0, 0, 5], [5, 0, 5, 0, 5, 0, 0, 0, 0, 0, 0, 5, 5, 0, 5], [0, 0, 0, 5, 0, 5, 0, 0, 0, 0, 0, 0, 0, 5, 5], [5, 5, 0, 0, 5, 5, 0, 2, 0, 5, 5, 0, 0, 0, 0], [5, 0, 2, 0, 0, 5, 2, 2, 4, 5, 0, 0, 0, 5, 0], [0, 4, 2, 2, 0, 0, 5, 4, 5, 5, 5, 5, 0, 0, 0], [0, 5, 4, 5, 0, 5, 5, 5, 0, 0, 0, 0, 5, 0, 5], [0, 0, 5, 0, 0, 0, 5, 5, 0, 0, 5, 0, 5, 0, 0], [0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 5, 0, 5, 5, 5], [0, 0, 0, 5, 5, 5, 0, 5, 0, 0, 5, 5, 0, 5, 0]]}, {"input": [[0, 5, 0, 5, 5, 0, 5, 5, 5, 0, 0, 0, 5, 0, 0, 5, 0, 5, 0], [0, 0, 0, 5, 0, 0, 0, 5, 5, 5, 0, 0, 0, 0, 5, 5, 0, 0, 0], [0, 5, 5, 0, 0, 0, 5, 0, 5, 5, 0, 0, 0, 0, 5, 0, 0, 5, 0], [0, 0, 5, 5, 0, 5, 5, 0, 0, 5, 5, 0, 5, 0, 5, 0, 5, 0, 0], [0, 0, 5, 0, 0, 4, 0, 5, 0, 5, 0, 5, 0, 0, 0, 5, 5, 0, 5], [0, 0, 5, 0, 4, 5, 4, 5, 5, 0, 5, 0, 0, 0, 5, 4, 5, 5, 5], [5, 0, 0, 0, 0, 4, 0, 0, 5, 5, 0, 0, 0, 0, 5, 4, 4, 5, 0], [5, 0, 5, 5, 5, 5, 0, 5, 0, 0, 0, 5, 0, 5, 0, 4, 5, 0, 0], [5, 5, 0, 0, 5, 0, 5, 0, 5, 5, 0, 5, 5, 5, 5, 5, 0, 0, 0], [5, 5, 0, 0, 5, 5, 5, 0, 5, 0, 0, 5, 0, 0, 5, 0, 0, 0, 0], [0, 0, 5, 5, 0, 0, 0, 0, 5, 4, 5, 0, 5, 5, 0, 0, 0, 0, 0], [5, 5, 5, 4, 0, 5, 0, 5, 5, 4, 4, 5, 0, 0, 5, 5, 5, 5, 0], [0, 0, 4, 5, 0, 0, 5, 5, 0, 4, 5, 0, 5, 0, 0, 5, 5, 5, 5], [0, 0, 0, 0, 5, 0, 0, 5, 0, 0, 0, 0, 5, 0, 5, 0, 0, 5, 5], [5, 5, 0, 5, 0, 0, 0, 5, 5, 5, 5, 5, 0, 5, 0, 0, 0, 0, 0], [5, 5, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 5, 0, 5, 0, 0, 5], [5, 0, 5, 0, 5, 5, 0, 5, 5, 0, 0, 0, 0, 5, 5, 0, 0, 0, 0], [0, 5, 5, 0, 0, 0, 0, 0, 0, 5, 5, 5, 5, 5, 0, 0, 0, 0, 0]], "output": [[0, 5, 0, 5, 5, 0, 5, 5, 5, 0, 0, 0, 5, 0, 0, 5, 0, 5, 0], [0, 0, 0, 5, 0, 0, 0, 5, 5, 5, 0, 0, 0, 0, 5, 5, 0, 0, 0], [0, 5, 5, 0, 0, 0, 5, 0, 5, 5, 0, 0, 0, 0, 5, 0, 0, 5, 0], [0, 0, 5, 5, 0, 5, 5, 0, 0, 5, 5, 0, 5, 0, 5, 0, 5, 0, 0], [0, 0, 5, 0, 0, 4, 0, 5, 0, 5, 0, 5, 0, 0, 0, 5, 5, 0, 5], [0, 0, 5, 0, 4, 2, 4, 5, 5, 0, 5, 0, 0, 0, 5, 4, 5, 5, 5], [5, 0, 0, 0, 0, 4, 0, 0, 5, 5, 0, 0, 0, 0, 2, 4, 4, 5, 0], [5, 0, 5, 5, 5, 5, 0, 5, 0, 0, 0, 5, 0, 5, 0, 4, 5, 0, 0], [5, 5, 0, 0, 5, 0, 5, 0, 5, 5, 0, 5, 5, 5, 5, 5, 0, 0, 0], [5, 5, 0, 0, 5, 5, 5, 0, 5, 0, 0, 5, 0, 0, 5, 0, 0, 0, 0], [0, 0, 2, 5, 0, 0, 0, 0, 5, 4, 5, 0, 5, 5, 0, 0, 0, 0, 0], [5, 2, 2, 4, 0, 5, 0, 5, 2, 4, 4, 5, 0, 0, 5, 5, 5, 5, 0], [0, 0, 4, 5, 0, 0, 5, 5, 0, 4, 5, 0, 5, 0, 0, 5, 5, 5, 5], [0, 0, 0, 0, 5, 0, 0, 5, 0, 0, 0, 0, 5, 0, 5, 0, 0, 5, 5], [5, 5, 0, 5, 0, 0, 0, 5, 5, 5, 5, 5, 0, 5, 0, 0, 0, 0, 0], [5, 5, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 5, 0, 5, 0, 0, 5], [5, 0, 5, 0, 5, 5, 0, 5, 5, 0, 0, 0, 0, 5, 5, 0, 0, 0, 0], [0, 5, 5, 0, 0, 0, 0, 0, 0, 5, 5, 5, 5, 5, 0, 0, 0, 0, 0]]}], "test": [{"input": [[0, 0, 5, 0, 0, 5, 5, 0, 5, 0, 5, 0, 5, 5, 4, 5, 0, 0, 5], [0, 5, 5, 0, 5, 4, 5, 5, 5, 0, 5, 5, 0, 4, 5, 0, 5, 5, 0], [5, 5, 5, 0, 5, 5, 4, 0, 5, 5, 0, 5, 5, 5, 5, 0, 5, 0, 5], [5, 5, 4, 0, 0, 0, 0, 5, 0, 0, 0, 5, 0, 5, 0, 0, 0, 5, 5], [5, 4, 5, 5, 5, 5, 0, 5, 0, 0, 5, 5, 0, 5, 5, 0, 5, 0, 0], [5, 5, 0, 5, 0, 0, 0, 5, 5, 0, 5, 4, 5, 0, 0, 5, 0, 5, 5], [0, 5, 5, 5, 5, 0, 5, 5, 5, 5, 4, 4, 5, 0, 5, 5, 0, 0, 0], [5, 0, 0, 5, 5, 5, 5, 0, 0, 0, 0, 5, 0, 5, 5, 0, 0, 5, 0], [0, 5, 0, 0, 0, 0, 0, 5, 0, 0, 5, 0, 0, 0, 5, 0, 5, 0, 5], [0, 0, 0, 0, 5, 0, 0, 5, 0, 0, 5, 0, 0, 5, 0, 0, 5, 5, 0], [0, 0, 0, 0, 5, 5, 0, 5, 0, 5, 0, 5, 0, 4, 0, 0, 0, 5, 0], [5, 5, 4, 5, 5, 5, 5, 5, 0, 0, 5, 0, 4, 5, 4, 0, 5, 0, 5], [5, 5, 5, 4, 0, 0, 0, 5, 5, 5, 0, 5, 5, 4, 0, 5, 5, 5, 5], [0, 0, 4, 5, 0, 0, 0, 0, 0, 5, 0, 5, 0, 5, 5, 5, 5, 5, 5], [5, 0, 5, 0, 0, 5, 0, 4, 5, 0, 0, 5, 5, 5, 5, 5, 0, 0, 5], [5, 5, 0, 5, 5, 0, 5, 5, 4, 0, 0, 5, 5, 5, 0, 5, 0, 5, 5], [5, 5, 5, 0, 5, 5, 5, 4, 0, 5, 5, 0, 5, 5, 0, 0, 5, 5, 0], [5, 5, 5, 5, 0, 0, 0, 5, 0, 0, 5, 0, 5, 0, 5, 0, 5, 0, 0], [0, 5, 0, 5, 5, 5, 0, 0, 5, 5, 5, 0, 0, 5, 5, 5, 5, 5, 5]]}]}
Think carefully step by step, and give the final answer.
| 4
| 1
|
[
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]
] |
14754a24
|
|
Now you are asked to generate a new image based on the input image.
The <image><image><image><image> images are the train input images and output images, each input-output pairs are consecutive in order. You should learn the mapping law from these input to output examples.
The <image> are the test input images for which you need to generate the output images.
You should generate the test output image in text format like a python list. Each grid color is represented by a number.
The color number mapping is as follows:
0: black, 1: blue, 2: red, 3: green, 4: yellow, 5: gray-light, 6: magenta, 7: orange, 8: blue-light, 9: maroon
For example, if the output image should be a 3x3 grid, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]]] </answer>
If there are multiple test input images, you should generate the output for each image in the same format, separated by ','. In fact, you can see it as a answers list.
For example, if there are two test input images, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]], [[1, 1, 1], [2, 2, 2], [3, 3, 3], [4, 4, 4]]] </answer>
Here is this question json in text format:
{"train": [{"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, 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, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 8, 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, 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]], "output": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 5, 5], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 5, 5, 5, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 5, 5, 5, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 5, 5, 5, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 5, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}, {"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, 8, 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, 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], [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]], "output": [[0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 5, 5, 5, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 5, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [5, 5, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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], [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]]}], "test": [{"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, 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, 8, 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, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}]}
Think carefully step by step, and give the final answer.
| 2
| 1
|
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d06dbe63
|
|
Now you are asked to generate a new image based on the input image.
The <image><image><image><image> images are the train input images and output images, each input-output pairs are consecutive in order. You should learn the mapping law from these input to output examples.
The <image> are the test input images for which you need to generate the output images.
You should generate the test output image in text format like a python list. Each grid color is represented by a number.
The color number mapping is as follows:
0: black, 1: blue, 2: red, 3: green, 4: yellow, 5: gray-light, 6: magenta, 7: orange, 8: blue-light, 9: maroon
For example, if the output image should be a 3x3 grid, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]]] </answer>
If there are multiple test input images, you should generate the output for each image in the same format, separated by ','. In fact, you can see it as a answers list.
For example, if there are two test input images, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]], [[1, 1, 1], [2, 2, 2], [3, 3, 3], [4, 4, 4]]] </answer>
Here is this question json in text format:
{"train": [{"input": [[8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 0, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 0, 5, 0, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 0, 5, 5, 5, 0, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 0, 5, 0, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 0, 5, 0, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 0, 5, 5, 5, 0, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 0, 5, 0, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 0, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8]], "output": [[8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 5, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 5, 0, 5, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 5, 0, 0, 0, 5, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 5, 0, 5, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 5, 0, 5, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 5, 0, 0, 0, 5, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 5, 0, 5, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 5, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8]]}, {"input": [[8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 1, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 1, 2, 1, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 1, 2, 1, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 1, 2, 2, 1, 1, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 1, 2, 2, 1, 1, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 1, 2, 1, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 1, 2, 1, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 1, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8]], "output": [[8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 2, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 2, 1, 2, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 2, 1, 2, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 2, 1, 1, 2, 2, 8, 8, 8, 8, 8], [8, 2, 1, 1, 2, 2, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 2, 1, 2, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 2, 1, 2, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 2, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8]]}], "test": [{"input": [[8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 4, 4, 4, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 4, 9, 9, 9, 4, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 4, 9, 9, 9, 9, 9, 4, 8, 8, 8, 8, 8, 8, 8, 8], [8, 4, 9, 9, 9, 9, 9, 4, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 4, 9, 9, 9, 4, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 4, 4, 4, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], [8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8]]}]}
Think carefully step by step, and give the final answer.
| 2
| 1
|
[
[
[
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
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8,
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[
8,
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8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8
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[
8,
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[
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[
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[
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[
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[
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[
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[
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4,
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[
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[
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[
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[
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8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8
]
]
] |
fc4aaf52
|
|
Now you are asked to generate a new image based on the input image.
The <image><image><image><image><image><image> images are the train input images and output images, each input-output pairs are consecutive in order. You should learn the mapping law from these input to output examples.
The <image> are the test input images for which you need to generate the output images.
You should generate the test output image in text format like a python list. Each grid color is represented by a number.
The color number mapping is as follows:
0: black, 1: blue, 2: red, 3: green, 4: yellow, 5: gray-light, 6: magenta, 7: orange, 8: blue-light, 9: maroon
For example, if the output image should be a 3x3 grid, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]]] </answer>
If there are multiple test input images, you should generate the output for each image in the same format, separated by ','. In fact, you can see it as a answers list.
For example, if there are two test input images, your answer output might be like this:
<answer> [[[0, 1, 2], [3, 4, 5], [6, 7, 8]], [[1, 1, 1], [2, 2, 2], [3, 3, 3], [4, 4, 4]]] </answer>
Here is this question json in text format:
{"train": [{"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, 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, 0, 0, 0, 0], [0, 0, 0, 0, 0, 3, 0, 0, 0, 0]], "output": [[0, 0, 0, 0, 0, 3, 5, 3, 0, 3], [0, 0, 0, 0, 0, 3, 0, 3, 0, 3], [0, 0, 0, 0, 0, 3, 0, 3, 0, 3], [0, 0, 0, 0, 0, 3, 0, 3, 0, 3], [0, 0, 0, 0, 0, 3, 0, 3, 0, 3], [0, 0, 0, 0, 0, 3, 0, 3, 0, 3], [0, 0, 0, 0, 0, 3, 0, 3, 0, 3], [0, 0, 0, 0, 0, 3, 0, 3, 0, 3], [0, 0, 0, 0, 0, 3, 0, 3, 0, 3], [0, 0, 0, 0, 0, 3, 0, 3, 5, 3]]}, {"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, 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, 0, 0, 0, 0], [0, 2, 0, 0, 0, 0, 0, 0, 0, 0]], "output": [[0, 2, 5, 2, 0, 2, 5, 2, 0, 2], [0, 2, 0, 2, 0, 2, 0, 2, 0, 2], [0, 2, 0, 2, 0, 2, 0, 2, 0, 2], [0, 2, 0, 2, 0, 2, 0, 2, 0, 2], [0, 2, 0, 2, 0, 2, 0, 2, 0, 2], [0, 2, 0, 2, 0, 2, 0, 2, 0, 2], [0, 2, 0, 2, 0, 2, 0, 2, 0, 2], [0, 2, 0, 2, 0, 2, 0, 2, 0, 2], [0, 2, 0, 2, 0, 2, 0, 2, 0, 2], [0, 2, 0, 2, 5, 2, 0, 2, 5, 2]]}, {"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, 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, 0, 0, 0, 0], [0, 0, 0, 0, 4, 0, 0, 0, 0, 0]], "output": [[0, 0, 0, 0, 4, 5, 4, 0, 4, 5], [0, 0, 0, 0, 4, 0, 4, 0, 4, 0], [0, 0, 0, 0, 4, 0, 4, 0, 4, 0], [0, 0, 0, 0, 4, 0, 4, 0, 4, 0], [0, 0, 0, 0, 4, 0, 4, 0, 4, 0], [0, 0, 0, 0, 4, 0, 4, 0, 4, 0], [0, 0, 0, 0, 4, 0, 4, 0, 4, 0], [0, 0, 0, 0, 4, 0, 4, 0, 4, 0], [0, 0, 0, 0, 4, 0, 4, 0, 4, 0], [0, 0, 0, 0, 4, 0, 4, 5, 4, 0]]}], "test": [{"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, 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, 0, 0, 0, 0], [0, 0, 1, 0, 0, 0, 0, 0, 0, 0]]}]}
Think carefully step by step, and give the final answer.
| 3
| 1
|
[
[
[
0,
0,
1,
5,
1,
0,
1,
5,
1,
0
],
[
0,
0,
1,
0,
1,
0,
1,
0,
1,
0
],
[
0,
0,
1,
0,
1,
0,
1,
0,
1,
0
],
[
0,
0,
1,
0,
1,
0,
1,
0,
1,
0
],
[
0,
0,
1,
0,
1,
0,
1,
0,
1,
0
],
[
0,
0,
1,
0,
1,
0,
1,
0,
1,
0
],
[
0,
0,
1,
0,
1,
0,
1,
0,
1,
0
],
[
0,
0,
1,
0,
1,
0,
1,
0,
1,
0
],
[
0,
0,
1,
0,
1,
0,
1,
0,
1,
0
],
[
0,
0,
1,
0,
1,
5,
1,
0,
1,
5
]
]
] |
8403a5d5
|
End of preview. Expand
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