"""Genericify C++ Dataset for CS7470""" import json import datasets # You can copy an official description _DESCRIPTION = """\ Genericify C++ Dataset """ class DatasetGenericifyCpp(datasets.GeneratorBasedBuilder): """Genericify C++ Dataset for CS7470""" VERSION = datasets.Version("1.1.0") def _info(self): return datasets.DatasetInfo( description=_DESCRIPTION, features=datasets.Features( { "task_id": datasets.Value("string"), "base_prompt": datasets.Value("string"), "sfinae_prompt": datasets.Value("string"), "concepts_prompt": datasets.Value("string"), "starter_code": datasets.Value("string"), "base_canonical_solution": datasets.Value("string"), "sfinae_canonical_solution": datasets.Value("string"), "concepts_canonical_solution": datasets.Value("string"), "tests": datasets.Value("string"), "invalids": datasets.Value("string"), } ), ) def _split_generators(self, dl_manager): downloaded_files = dl_manager.download_and_extract( "data/genericify_cpp.jsonl" ) return [ datasets.SplitGenerator( name=datasets.Split.TEST, gen_kwargs={ "filepath": downloaded_files, }, ), ] def _generate_examples(self, filepath): with open(filepath, encoding="utf-8") as f: for key, line in enumerate(f): row = json.loads(line) yield key, { "task_id": row["task_id"], "base_prompt": row["base_prompt"], "sfinae_prompt": row["sfinae_prompt"], "concepts_prompt": row["concepts_prompt"], "starter_code": row["starter_code"], "base_canonical_solution": row["base_canonical_solution"], "sfinae_canonical_solution": row["sfinae_canonical_solution"], "concepts_canonical_solution": row["concepts_canonical_solution"], "tests": row["tests"], "invalids": row["invalids"], }