Datasets:
Tasks:
Text2Text Generation
Languages:
English
Multilinguality:
monolingual
Size Categories:
n<1K
Source Datasets:
original
ArXiv:
License:
| import json | |
| import datasets | |
| _DESCRIPTION = """\ | |
| The MBPP (Mostly Basic Python Problems) dataset consists of around 1,000 crowd-sourced Python | |
| programming problems, designed to be solvable by entry level programmers, covering programming | |
| fundamentals, standard library functionality, and so on. Each problem consists of a task | |
| description, code solution and 3 automated test cases. | |
| """ | |
| _URLs = { | |
| "full": "https://raw.githubusercontent.com/google-research/google-research/master/mbpp/mbpp.jsonl", | |
| "sanitized": "https://raw.githubusercontent.com/google-research/google-research/master/mbpp/sanitized-mbpp.json", | |
| } | |
| _SPLITS = ["full", "sanitized"] | |
| _CITATION = """\ | |
| @article{austin2021program, | |
| title={Program Synthesis with Large Language Models}, | |
| author={Austin, Jacob and Odena, Augustus and Nye, Maxwell and Bosma, Maarten and Michalewski, Henryk and Dohan, David and Jiang, Ellen and Cai, Carrie and Terry, Michael and Le, Quoc and others}, | |
| journal={arXiv preprint arXiv:2108.07732}, | |
| year={2021} | |
| }""" | |
| _HOMEPAGE = "https://github.com/google-research/google-research/tree/master/mbpp" | |
| _LICENSE = "CC-BY-4.0" | |
| class MBPP(datasets.GeneratorBasedBuilder): | |
| """MBPP: Mostly Basic Python Problems Dataset""" | |
| VERSION = datasets.Version("1.0.0") | |
| BUILDER_CONFIGS = [ | |
| datasets.BuilderConfig( | |
| name=f"{split}", | |
| version=datasets.Version("1.0.0"), | |
| description=_DESCRIPTION, | |
| ) | |
| for split in _SPLITS | |
| ] | |
| DEFAULT_CONFIG_NAME = "full" | |
| def _info(self): | |
| if self.config.name == "full": | |
| features = datasets.Features( | |
| { | |
| "task_id": datasets.Value("int32"), | |
| "text": datasets.Value("string"), | |
| "code": datasets.Value("string"), | |
| "test_list": datasets.Sequence(datasets.Value("string")), | |
| "test_setup_code": datasets.Value("string"), | |
| "challenge_test_list": datasets.Sequence(datasets.Value("string")), | |
| } | |
| ) | |
| else: | |
| features = datasets.Features( | |
| { | |
| "source_file": datasets.Value("string"), | |
| "task_id": datasets.Value("int32"), | |
| "prompt": datasets.Value("string"), | |
| "code": datasets.Value("string"), | |
| "test_imports": datasets.Sequence(datasets.Value("string")), | |
| "test_list": datasets.Sequence(datasets.Value("string")), | |
| } | |
| ) | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=features, | |
| supervised_keys=None, | |
| homepage=_HOMEPAGE, | |
| license=_LICENSE, | |
| citation=_CITATION, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| """Returns SplitGenerators.""" | |
| config_urls = _URLs[self.config.name] | |
| data_dir = dl_manager.download_and_extract(config_urls) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TEST, | |
| gen_kwargs={ | |
| "filepath": data_dir, | |
| }, | |
| ) | |
| ] | |
| def _generate_examples(self, filepath): | |
| """Yields examples.""" | |
| with open(filepath, encoding="utf-8") as file: | |
| if self.config.name == "full": | |
| data = [json.loads(line) for line in file] | |
| else: | |
| data = json.load(file) | |
| id_ = 0 | |
| for sample in data: | |
| yield id_, sample | |
| id_ += 1 | |