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Make agbenchmark a Proxy of the evaluated agent Signed-off-by: Merwane Hamadi <merwanehamadi@gmail.com>
32 lines
1.1 KiB
JSON
32 lines
1.1 KiB
JSON
{
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"name": "FunctionCodeGeneration",
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"category": [
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"code"
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],
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"task": "Create a two_sum function in a file called sample_code.py. Given an array of integers, return indices of the two numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 9, Because nums[0] + nums[1] = 2 + 7 = 9, return [0, 1].",
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"dependencies": [
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"ReturnCodeWrite"
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],
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"cutoff": 90,
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"ground": {
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"answer": "The two_sum function coded properly.",
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"should_contain": [
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"[0, 1]",
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"[2, 5]",
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"[0, 3]"
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],
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"should_not_contain": [],
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"files": [
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"test.py"
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],
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"eval": {
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"type": "python"
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}
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},
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"info": {
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"difficulty": "advanced",
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"description": "s ability for the agent to create the two_sum function.",
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"side_effects": []
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},
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"eval_id": "55a60811-a3a1-4a31-b939-77d52dac1749"
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} |