[Eval] Mapping arrays to matricies

[daniel-um]

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Eval details 📑

Eval name

mapping_to_matricies

Eval description

Given an array of binary values (0 or 1), a request is made for the array to be mapped to a two-dimensional array. The length of the original array must be evenly divisible by the dimensions of the two-dimensional array (i.e. an array of length 12 is evenly mappable onto a 3x4 two-dimensional array). An evaluation is made by comparing the final row of the mapped 2D array with the corresponding values of the original array. To further demonstrate that the failure cases are not due to poor prompting, I've included instructions in the prompt to present some rationale in the response -- it is evident therein that the LLM indeed understands the task, but fails to accomplish it. In fact, when asked to verify the answer, the LLM appears to double down and effectively "re-write" its own memory of the original input array so that it can claim that its answer was valid.

A small python script that was used for generating the samples has been included at /evals/registry/data/mapping_to_matricies/data_generator.py

What makes this a useful eval?

This eval demonstrates a task that a human can easily do, but LLMs have trouble accomplishing. Further, it also demonstrates that the LLM understands the task accurately, but confidently and consistently provides the wrong answer; and when asked to check its answer, it alters its own understanding of the original user input so that it can claim to be correct.

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Eval JSON data

Since we are using Git LFS, we are asking eval submitters to add in as many Eval Samples (at least 5) from their contribution here:

View evals in JSON

Eval

{"input": [{"role": "system", "content": "Given the user-provided binary array, map the binary array onto a grid, wherein the dimensions of the grid are as provided by the user ([num rows]x[num elements per row]), and the mapping to the grid is done from left to right, top to bottom (provide a visualization of the mapped result). Then explain in a second visualization how the final row of the grid was mapped from the corresponding final binary numbers of the array. Lastly, provide the final row of the grid, in minified JSON format, like this: {\"Final Row\":[...]}"}, {"role": "user", "content": "Array: [0,1,1,0,0,0,1,0,1,1,1,0,1,1,0,0,0,1,1,0,1,1,0,1,0,0,1,0,1,0,1,0,1,0,0,0,0,0,0,1]\nGrid Dimensions: 2x20"}], "ideal": "{\"Final Row\":[1,1,0,1,0,0,1,0,1,0,1,0,1,0,0,0,0,0,0,1]}"}
{"input": [{"role": "system", "content": "Given the user-provided binary array, map the binary array onto a grid, wherein the dimensions of the grid are as provided by the user ([num rows]x[num elements per row]), and the mapping to the grid is done from left to right, top to bottom (provide a visualization of the mapped result). Then explain in a second visualization how the final row of the grid was mapped from the corresponding final binary numbers of the array. Lastly, provide the final row of the grid, in minified JSON format, like this: {\"Final Row\":[...]}"}, {"role": "user", "content": "Array: [0,1,1,0,0,0,1,0,1,1,1,0,1,1,0,0,0,1,1,0,1,1,0,1,0,0,1,0,1,0,1,0,1,0,0,0,0,0,0,1]\nGrid Dimensions: 4x10"}], "ideal": "{\"Final Row\":[1,0,1,0,0,0,0,0,0,1]}"}
{"input": [{"role": "system", "content": "Given the user-provided binary array, map the binary array onto a grid, wherein the dimensions of the grid are as provided by the user ([num rows]x[num elements per row]), and the mapping to the grid is done from left to right, top to bottom (provide a visualization of the mapped result). Then explain in a second visualization how the final row of the grid was mapped from the corresponding final binary numbers of the array. Lastly, provide the final row of the grid, in minified JSON format, like this: {\"Final Row\":[...]}"}, {"role": "user", "content": "Array: [0,1,1,0,0,0,1,0,1,1,1,0,1,1,0,0,0,1,1,0,1,1,0,1,0,0,1,0,1,0,1,0,1,0,0,0,0,0,0,1]\nGrid Dimensions: 5x8"}], "ideal": "{\"Final Row\":[1,0,0,0,0,0,0,1]}"}
{"input": [{"role": "system", "content": "Given the user-provided binary array, map the binary array onto a grid, wherein the dimensions of the grid are as provided by the user ([num rows]x[num elements per row]), and the mapping to the grid is done from left to right, top to bottom (provide a visualization of the mapped result). Then explain in a second visualization how the final row of the grid was mapped from the corresponding final binary numbers of the array. Lastly, provide the final row of the grid, in minified JSON format, like this: {\"Final Row\":[...]}"}, {"role": "user", "content": "Array: [1,0,1,0,0,0,0,0,0,0,1,1,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,1,1,0,1,1,1,1,0,0,0,1,1,0]\nGrid Dimensions: 2x21"}], "ideal": "{\"Final Row\":[1,1,1,1,1,1,0,0,1,1,0,1,1,1,1,0,0,0,1,1,0]}"}
{"input": [{"role": "system", "content": "Given the user-provided binary array, map the binary array onto a grid, wherein the dimensions of the grid are as provided by the user ([num rows]x[num elements per row]), and the mapping to the grid is done from left to right, top to bottom (provide a visualization of the mapped result). Then explain in a second visualization how the final row of the grid was mapped from the corresponding final binary numbers of the array. Lastly, provide the final row of the grid, in minified JSON format, like this: {\"Final Row\":[...]}"}, {"role": "user", "content": "Array: [1,0,1,0,0,0,0,0,0,0,1,1,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,1,1,0,1,1,1,1,0,0,0,1,1,0]\nGrid Dimensions: 3x14"}], "ideal": "{\"Final Row\":[0,1,1,0,1,1,1,1,0,0,0,1,1,0]}"}
{"input": [{"role": "system", "content": "Given the user-provided binary array, map the binary array onto a grid, wherein the dimensions of the grid are as provided by the user ([num rows]x[num elements per row]), and the mapping to the grid is done from left to right, top to bottom (provide a visualization of the mapped result). Then explain in a second visualization how the final row of the grid was mapped from the corresponding final binary numbers of the array. Lastly, provide the final row of the grid, in minified JSON format, like this: {\"Final Row\":[...]}"}, {"role": "user", "content": "Array: [1,0,1,0,0,0,0,0,0,0,1,1,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,1,1,0,1,1,1,1,0,0,0,1,1,0]\nGrid Dimensions: 6x7"}], "ideal": "{\"Final Row\":[1,0,0,0,1,1,0]}"}
{"input": [{"role": "system", "content": "Given the user-provided binary array, map the binary array onto a grid, wherein the dimensions of the grid are as provided by the user ([num rows]x[num elements per row]), and the mapping to the grid is done from left to right, top to bottom (provide a visualization of the mapped result). Then explain in a second visualization how the final row of the grid was mapped from the corresponding final binary numbers of the array. Lastly, provide the final row of the grid, in minified JSON format, like this: {\"Final Row\":[...]}"}, {"role": "user", "content": "Array: [1,0,0,1,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,1,1,1,1,1,0,0,0,1,0,1,1,0,1,1,0,1,0,0,1,1]\nGrid Dimensions: 2x22"}], "ideal": "{\"Final Row\":[0,1,1,1,1,1,0,0,0,1,0,1,1,0,1,1,0,1,0,0,1,1]}"}
{"input": [{"role": "system", "content": "Given the user-provided binary array, map the binary array onto a grid, wherein the dimensions of the grid are as provided by the user ([num rows]x[num elements per row]), and the mapping to the grid is done from left to right, top to bottom (provide a visualization of the mapped result). Then explain in a second visualization how the final row of the grid was mapped from the corresponding final binary numbers of the array. Lastly, provide the final row of the grid, in minified JSON format, like this: {\"Final Row\":[...]}"}, {"role": "user", "content": "Array: [1,0,0,1,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,1,1,1,1,1,0,0,0,1,0,1,1,0,1,1,0,1,0,0,1,1]\nGrid Dimensions: 4x11"}], "ideal": "{\"Final Row\":[1,1,0,1,1,0,1,0,0,1,1]}"}
{"input": [{"role": "system", "content": "Given the user-provided binary array, map the binary array onto a grid, wherein the dimensions of the grid are as provided by the user ([num rows]x[num elements per row]), and the mapping to the grid is done from left to right, top to bottom (provide a visualization of the mapped result). Then explain in a second visualization how the final row of the grid was mapped from the corresponding final binary numbers of the array. Lastly, provide the final row of the grid, in minified JSON format, like this: {\"Final Row\":[...]}"}, {"role": "user", "content": "Array: [0,0,1,1,0,1,1,1,1,0,1,0,0,0,1,1,0,0,1,0,0,0,0,1,1,1,1,1,1,1,0,1,0,1,0,0,1,1,0,0,0,1,0,1,0]\nGrid Dimensions: 3x15"}], "ideal": "{\"Final Row\":[0,1,0,1,0,0,1,1,0,0,0,1,0,1,0]}"}
{"input": [{"role": "system", "content": "Given the user-provided binary array, map the binary array onto a grid, wherein the dimensions of the grid are as provided by the user ([num rows]x[num elements per row]), and the mapping to the grid is done from left to right, top to bottom (provide a visualization of the mapped result). Then explain in a second visualization how the final row of the grid was mapped from the corresponding final binary numbers of the array. Lastly, provide the final row of the grid, in minified JSON format, like this: {\"Final Row\":[...]}"}, {"role": "user", "content": "Array: [0,0,1,1,0,1,1,1,1,0,1,0,0,0,1,1,0,0,1,0,0,0,0,1,1,1,1,1,1,1,0,1,0,1,0,0,1,1,0,0,0,1,0,1,0]\nGrid Dimensions: 5x9"}], "ideal": "{\"Final Row\":[1,1,0,0,0,1,0,1,0]}"}

[usama-openai]

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