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Datasets:
zai-org
/
humaneval-x

Tasks:
Text Generation
Sub-tasks:
language-modeling
Languages:
code
License:
Dataset card Files Community
4
Dataset Viewer
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    RuntimeError
Message:      Dataset scripts are no longer supported, but found humaneval-x.py
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
                  config_names = get_dataset_config_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1031, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 989, in dataset_module_factory
                  raise RuntimeError(f"Dataset scripts are no longer supported, but found {filename}")
              RuntimeError: Dataset scripts are no longer supported, but found humaneval-x.py

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HumanEval-X

Dataset Description

HumanEval-X is a benchmark for evaluating the multilingual ability of code generative models. It consists of 820 high-quality human-crafted data samples (each with test cases) in Python, C++, Java, JavaScript, and Go, and can be used for various tasks, such as code generation and translation.

Languages

The dataset contains coding problems in 5 programming languages: Python, C++, Java, JavaScript, and Go.

Dataset Structure

To load the dataset you need to specify a subset among the 5 exiting languages [python, cpp, go, java, js]. By default python is loaded. 

from datasets import load_dataset
load_dataset("THUDM/humaneval-x", "js")

DatasetDict({
    test: Dataset({
        features: ['task_id', 'prompt', 'declaration', 'canonical_solution', 'test', 'example_test'],
        num_rows: 164
    })
})

next(iter(data["test"]))
{'task_id': 'JavaScript/0',
 'prompt': '/* Check if in given list of numbers, are any two numbers closer to each other than\n  given threshold.\n  >>> hasCloseElements([1.0, 2.0, 3.0], 0.5)\n  false\n  >>> hasCloseElements([1.0, 2.8, 3.0, 4.0, 5.0, 2.0], 0.3)\n  true\n  */\nconst hasCloseElements = (numbers, threshold) => {\n',
 'declaration': '\nconst hasCloseElements = (numbers, threshold) => {\n',
 'canonical_solution': '  for (let i = 0; i < numbers.length; i++) {\n    for (let j = 0; j < numbers.length; j++) {\n      if (i != j) {\n        let distance = Math.abs(numbers[i] - numbers[j]);\n        if (distance < threshold) {\n          return true;\n        }\n      }\n    }\n  }\n  return false;\n}\n\n',
 'test': 'const testHasCloseElements = () => {\n  console.assert(hasCloseElements([1.0, 2.0, 3.9, 4.0, 5.0, 2.2], 0.3) === true)\n  console.assert(\n    hasCloseElements([1.0, 2.0, 3.9, 4.0, 5.0, 2.2], 0.05) === false\n  )\n  console.assert(hasCloseElements([1.0, 2.0, 5.9, 4.0, 5.0], 0.95) === true)\n  console.assert(hasCloseElements([1.0, 2.0, 5.9, 4.0, 5.0], 0.8) === false)\n  console.assert(hasCloseElements([1.0, 2.0, 3.0, 4.0, 5.0, 2.0], 0.1) === true)\n  console.assert(hasCloseElements([1.1, 2.2, 3.1, 4.1, 5.1], 1.0) === true)\n  console.assert(hasCloseElements([1.1, 2.2, 3.1, 4.1, 5.1], 0.5) === false)\n}\n\ntestHasCloseElements()\n',
 'example_test': 'const testHasCloseElements = () => {\n  console.assert(hasCloseElements([1.0, 2.0, 3.0], 0.5) === false)\n  console.assert(\n    hasCloseElements([1.0, 2.8, 3.0, 4.0, 5.0, 2.0], 0.3) === true\n  )\n}\ntestHasCloseElements()\n'}

Data Fields

  • task_id: indicates the target language and ID of the problem. Language is one of ["Python", "Java", "JavaScript", "CPP", "Go"].
  • prompt: the function declaration and docstring, used for code generation.
  • declaration: only the function declaration, used for code translation.
  • canonical_solution: human-crafted example solutions.
  • test: hidden test samples, used for evaluation.
  • example_test: public test samples (appeared in prompt), used for evaluation.

Data Splits

Each subset has one split: test.

Citation Information

Refer to https://github.com/THUDM/CodeGeeX.

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