Datasets:
File size: 3,912 Bytes
d73f58b 855893f d73f58b 3618cd0 d73f58b 855893f 3618cd0 855893f d73f58b 855893f 3618cd0 855893f 3618cd0 855893f 3618cd0 855893f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 |
import json
import datasets
_DESCRIPTION = """The Transcoder dataset in BabelCode format. Currently supports translation from C++ and Python."""
_URL = "https://raw.githubusercontent.com/google-research/babelcode/main/data/hf_datasets/transcoder.jsonl"
_LANGUAGES = {
"C++",
"CSharp",
"Dart",
"Go",
"Haskell",
"Java",
"Javascript",
"Julia",
"Kotlin",
"Lua",
"PHP",
"Python",
"R",
"Rust",
"Scala",
"TypeScript",
}
_CITATION = """\
@article{orlanski2023measuring,
title={Measuring The Impact Of Programming Language Distribution},
author={Orlanski, Gabriel and Xiao, Kefan and Garcia, Xavier and Hui, Jeffrey and Howland, Joshua and Malmaud, Jonathan and Austin, Jacob and Singh, Rishah and Catasta, Michele},
journal={arXiv preprint arXiv:2302.01973},
year={2023}
}
@article{roziere2020unsupervised,
title={Unsupervised translation of programming languages},
author={Roziere, Baptiste and Lachaux, Marie-Anne and Chanussot, Lowik and Lample, Guillaume},
journal={Advances in Neural Information Processing Systems},
volume={33},
year={2020}
}"""
_HOMEPAGE = "https://github.com/google-research/babelcode"
_LICENSE = "CC-BY-4.0"
_VERSION = "1.0.0"
_KEYS_REMOVE = {"text", "signature_with_docstring"}
_QUESTION_INFO_KEYS = {
"entry_fn_name",
"entry_cls_name",
"test_code",
"test_list",
"test_case_ids",
}
class BCTranscoder(datasets.GeneratorBasedBuilder):
"""BC-Transcoder"""
VERSION = datasets.Version(_VERSION)
BUILDER_CONFIGS = [
datasets.BuilderConfig(
name="all",
version=datasets.Version(_VERSION),
description=_DESCRIPTION,
),
] + [
datasets.BuilderConfig(
name=lang,
version=datasets.Version(_VERSION),
description=_DESCRIPTION + f" Examples are only in {lang}.",
) for lang in _LANGUAGES
]
DEFAULT_CONFIG_NAME = "all"
def _info(self):
features = datasets.Features({
"qid": datasets.Value("string"),
"title": datasets.Value("string"),
"language": datasets.Value("string"),
"signature": datasets.Value("string"),
"arguments": datasets.Sequence(datasets.Value("string")),
"source_py": datasets.Value("string"),
"source_cpp": datasets.Value("string"),
"question_info":
datasets.Features({
k:datasets.Value(dtype="string")
for k in _QUESTION_INFO_KEYS
})
})
description = _DESCRIPTION
if self.config.name != 'all':
description = _DESCRIPTION + f" Examples are only in {self.config.name}."
return datasets.DatasetInfo(
description=description,
features=features,
supervised_keys=None,
homepage=_HOMEPAGE,
license=_LICENSE,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
"""Returns SplitGenerators."""
data_dir = dl_manager.download_and_extract(_URL)
return [
datasets.SplitGenerator(
name=datasets.Split.TEST,
gen_kwargs={"filepath": data_dir},
),
]
def _generate_examples(self, filepath):
""" Yields the examples from the dataset"""
with open(filepath, encoding='utf-8') as file:
id_ = 0
for l in file:
if not l.strip():
continue
d = json.loads(l)
if self.config.name != 'all' and d['language'] != self.config.name:
continue
question_info = {}
for k in _QUESTION_INFO_KEYS:
question_info[k] = d.pop(k)
question_info['test_list'] = json.dumps(question_info['test_list'])
d['question_info'] = question_info
d['source_py'] = d.pop('solution_python')
d['source_cpp'] = d.pop('solution_cpp')
for k in _KEYS_REMOVE:
d.pop(k)
yield id_, d
id_ += 1
|