import os import datasets import json # Meta infomation ################################################################################################ ################################################################################################ class RepoCodeGenConfig(datasets.BuilderConfig): def __init__(self, *args, **kwargs): super().__init__( *args, name= "repo_codegen", **kwargs, ) class RepoCodeGen(datasets.GeneratorBasedBuilder): VERSION = datasets.Version("1.0.0") BUILDER_CONFIG_CLASS = RepoCodeGenConfig BUILDER_CONFIGS = [RepoCodeGenConfig()] DEFAULT_CONFIG_NAME = "repo_codegen" def _info(self): return datasets.DatasetInfo( features=datasets.Features({ "id": datasets.Value("int64"), "project": datasets.Value("string"), "module": datasets.Value("string"), "entry_point": datasets.Value("string"), "solution": datasets.Value("string"), "prompt": datasets.Value("string"), "target_function_prompt": datasets.Value("string"), "function_signature": datasets.Value("string"), "test": datasets.Value("string"), "test_list": datasets.Sequence(datasets.Value("string")), "docstring": datasets.Value("string"), "original_docstring": datasets.Value("string"), "docstring_tokens": datasets.Sequence(datasets.Value("string")), "check": datasets.Value("string"), "cross_context": datasets.Value("bool"), "isContained": datasets.Value("bool"), "line_coverage": datasets.Value("float"), }), supervised_keys=None, ) def _split_generators(self, dl_manager): generators = [] for _files in [ "./short_context_False_shorten_contain_doc_False.json", "./short_context_True_shorten_contain_doc_False.json", "./short_context_True_shorten_contain_doc_True.json" ]: if "short_context_True" in _files: name = "short_context" else: name = "long_context" if "shorten_contain_doc_False" in _files: name += "_nodoc" else: name += "_doc" files = dl_manager.download([_files]) generators.append( datasets.SplitGenerator( name=name, gen_kwargs={ "files": files, }, ), ) return generators def _generate_examples(self, files): key = 0 for file_idx, file in enumerate(files): with open(file, "r") as f: for dp in f: row = json.loads(dp) yield key, { "id": row["id"], "project": row["project"], "module": row["module"], "entry_point": row["entry_point"], "solution": row["solution"], "prompt": row["prompt"], "target_function_prompt": row["target_function_prompt"], "function_signature": row["function_signature"], "test": row["test"], "test_list": row["test_list"], "docstring": row["docstring"], "original_docstring": row["original_docstring"], "docstring_tokens": row["docstring_tokens"], "check": row["check"], "cross_context": row["cross_context"], "isContained": row["isContained"], "line_coverage": row["line_coverage"], } key += 1