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README.md
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- split: test
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path: data/test-*
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---
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- split: test
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path: data/test-*
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---
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## HumanEval/MRI/C++
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This is a multi-region infilling version of the [C++ translation of HumanEval](https://huggingface.co/datasets/zai-org/humaneval-x). It was generated by randomly removing between 1 and 3 spans from the canonical solution in the dataset.
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This dataset was used for evaluation in the paper [Constrained Decoding of Diffusion LLMs for Context-Free Grammars](https://github.com/eth-sri/constrained-diffusion).
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### Example Usage
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```python
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from datasets import load_dataset
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import json
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dataset = load_dataset('nmuendler/HumanEval-MRI-Cpp')
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for instance in dataset['test']:
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print(json.dumps(instance, indent=2))
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break
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```
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### Example Instance
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```json
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{
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"instance_id": "CPP/0_spans_1",
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"number_spans": 1,
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"prompt": "/*\nCheck if in given vector of numbers, are any two numbers closer to each other than\ngiven threshold.\n>>> has_close_elements({1.0, 2.0, 3.0}, 0.5)\nfalse\n>>> has_close_elements({1.0, 2.8, 3.0, 4.0, 5.0, 2.0}, 0.3)\ntrue\n*/\n#include<stdio.h>\n#include<vector>\n#include<math.h>\nusing namespace std;\nbool has_close_elements(vector<float> numbers, float threshold){\n",
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"declaration": "#include<stdio.h>\n#include<vector>\n#include<math.h>\nusing namespace std;\n#include<algorithm>\n#include<stdlib.h>\nbool has_close_elements(vector<float> numbers, float threshold){\n",
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"splits": [
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" int i,j;\n \n for (i=0;i<numbers.size();i++)\n for (j=i+1;j<numbers.size();j++)\n if ",
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";\n\n return false;\n}\n\n"
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],
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"removed_spans": [
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"(abs(numbers[i]-numbers[j])<threshold)\n return true"
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],
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"canonical_solution": " int i,j;\n \n for (i=0;i<numbers.size();i++)\n for (j=i+1;j<numbers.size();j++)\n if (abs(numbers[i]-numbers[j])<threshold)\n return true;\n\n return false;\n}\n\n"
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}
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```
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