Upload mconala.py

mconala.py

@@ -0,0 +1,80 @@
+"""MCoNaLa dataset."""
+
+import json
+import datasets
+
+
+_CITATION = """\
+@article{wang2022mconala,
+  title={MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages},
+  author={Zhiruo Wang, Grace Cuenca, Shuyan Zhou, Frank F. Xu, Graham Neubig},
+  journal={arXiv preprint arXiv:2203.08388},
+  year={2022}
+}
+"""
+
+_DESCRIPTION = """\
+MCoNaLa is a Multilingual Code/Natural Language Challenge dataset with 
+896 NL-Code pairs in three languages: Spanish, Japanese, Russian. 
+"""
+
+_HOMEPAGE = "https://github.com/zorazrw/multilingual-conala"
+_URLs = {
+    "es": "es_test.jsonl",
+    "ja": "ja_test.jsonl",
+    "ru": "ru_test.jsonl",
+}
+
+class MCoNaLa(datasets.GeneratorBasedBuilder):
+    """MCoNaLa NL-to-Code dataset."""
+
+    VERSION = datasets.Version("1.0.0")
+
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name=lang,
+            version=datasets.Version("1.0.0"),
+            description=_DESCRIPTION,
+        ) for lang in _URLs.keys()
+    ]
+
+    DEFAULT_CONFIG_NAME = "en"
+    
+    
+    def _info(self):
+        features = datasets.Features({"task_id": datasets.Value("int64"),
+                                      "prompt": datasets.Value("string"),
+                                      "suffix": datasets.Value("string"),
+                                      "canonical_solution": datasets.Value("string"),
+                                      "test_start": datasets.Value("string"),
+                                      "test": datasets.Sequence(datasets.Value("string")),
+                                      "entry_point": datasets.Value("string"),
+                                      "intent": datasets.Value("string"),
+                                      "library": datasets.Sequence(datasets.Value("string")),
+                                     })
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            supervised_keys=None,
+            citation=_CITATION,
+            homepage=_HOMEPAGE)
+
+    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, "split": "train"},
+            ),
+        ]
+
+
+    def _generate_examples(self, filepath, split):
+        key = 0
+        for line in open(filepath, encoding="utf-8"):
+            line = json.loads(line)
+            yield key, line   
+            key += 1