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| import json |
| import datasets |
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| _DESCRIPTION = """\ |
| CodeGauntlt is a multi-source dataset designed for evaluating and enhancing the robustness of AI code repair and generation agents. It introduces adversarially-constructed, obfuscated, or deceptive bugs across several programming languages, based on real-world and synthetic sources. |
| """ |
|
|
| _HOMEPAGE = "https://huggingface.co/datasets/HackerHardware/CodeGauntlt" |
|
|
| _CITATION = """\ |
| @misc{codegauntlt2025, |
| title={CodeGauntlt: A Dataset for Adversarial Evaluation of Code Repair Models}, |
| author={Esteban and Collaborators}, |
| year={2025}, |
| howpublished={\\url{https://huggingface.co/datasets/HackerHardware/CodeGauntlt}}, |
| } |
| """ |
|
|
| class CodeGauntlt(datasets.GeneratorBasedBuilder): |
| VERSION = datasets.Version("1.0.0") |
|
|
| def _info(self): |
| features = datasets.Features( |
| { |
| "id": datasets.Value("string"), |
| "source": datasets.Value("string"), |
| "description": datasets.Value("string"), |
| "code_buggy": datasets.Value("string"), |
| "code_fixed": datasets.Value("string"), |
| "bug_type": datasets.Value("string"), |
| "tags": datasets.Value("string"), |
| "metadata": datasets.Value("string") |
| } |
| ) |
| return datasets.DatasetInfo( |
| description=_DESCRIPTION, |
| features=features, |
| homepage=_HOMEPAGE, |
| citation=_CITATION, |
| license="apache-2.0" |
| ) |
|
|
| def _split_generators(self, dl_manager): |
| data_dir = dl_manager.download_and_extract("./data") |
| return [ |
| datasets.SplitGenerator( |
| name=datasets.Split.TRAIN, |
| gen_kwargs={"filepath": f"{data_dir}/train.jsonl"} |
| ), |
| datasets.SplitGenerator( |
| name=datasets.Split.VALIDATION, |
| gen_kwargs={"filepath": f"{data_dir}/validation.jsonl"} |
| ), |
| datasets.SplitGenerator( |
| name=datasets.Split.TEST, |
| gen_kwargs={"filepath": f"{data_dir}/test.jsonl"} |
| ), |
| ] |
|
|
| def _generate_examples(self, filepath): |
| with open(filepath, encoding="utf-8") as f: |
| for i, line in enumerate(f): |
| record = json.loads(line) |
| yield i, record |
|
|
