Upload bc-transcoder.py

bc-transcoder.py

@@ -0,0 +1,135 @@
+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 = {
+    "header"
+}
+
+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"),
+                "text":datasets.Value("string"),
+                "signature_with_docstring": datasets.Value("string"),
+                "signature": datasets.Value("string"),
+                "arguments": datasets.Sequence(datasets.Value("string")),
+                "entry_fn_name": datasets.Value("string"),
+                "entry_cls_name": datasets.Value("string"),
+                "test_code": datasets.Value("string"),
+                "source_py":datasets.Value("string"),
+                "source_cpp":datasets.Value("string")
+            }
+        )
+        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
+                
+                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
+                
+