Update bc-mbpp.py

bc-mbpp.py

@@ -2,7 +2,6 @@ import json
 
 import datasets
 
-
 _DESCRIPTION = """The MBPP dataset in BabelCode format."""
 
 _URL = "https://raw.githubusercontent.com/google-research/babelcode/main/data/hf_datasets/mbpp.jsonl"
@@ -46,108 +45,131 @@ _LICENSE = "CC-BY-4.0"
 
 _VERSION = "1.0.0"
 
+_QUESTION_INFO_KEYS = {
+    "entry_fn_name",
+    "entry_cls_name",
+    "test_code",
+    "test_list",
+    "test_case_ids",
+}
 
 class BCMBPP(datasets.GeneratorBasedBuilder):
-    """BC-MBPP"""
-
-    VERSION = datasets.Version(_VERSION)
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(
-            name="all",
-            version=datasets.Version(_VERSION),
-            description=_DESCRIPTION,
+  """BC-MBPP"""
+
+  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")),
+        "solution": 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.TRAIN,
+            gen_kwargs={
+                "filepath": data_dir,
+                "split": "train"
+            },
+        ),
+        datasets.SplitGenerator(
+            name=datasets.Split.TEST,
+            gen_kwargs={
+                "filepath": data_dir,
+                "split": "test"
+            },
+        ),
+        datasets.SplitGenerator(
+            name=datasets.Split.VALIDATION,
+            gen_kwargs={
+                "filepath": data_dir,
+                "split": "validation"
+            },
+        ),
+        datasets.SplitGenerator(
+            name=datasets.Split("prompt"),
+            gen_kwargs={
+                "filepath": data_dir,
+                "split": "prompt"
+            },
         ),
-    ] + [
-        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"),
-                "solution":datasets.Value("string"),
-                "test_list": datasets.Value("string"),
-                "test_case_ids":datasets.Sequence(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.TRAIN,
-                gen_kwargs={"filepath": data_dir, "split": "train"},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={"filepath": data_dir, "split": "test"},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={"filepath": data_dir, "split": "validation"},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split("prompt"),
-                gen_kwargs={"filepath": data_dir, "split": "prompt"},
-            ),
-        ]
-
-    def _generate_examples(self, filepath, split):
-        """ Yields the examples from the dataset"""
-        with open(filepath, encoding='utf-8') as file:
-            id_ = 0
-            idx_range = None
-            if split == 'test':
-                idx_range=(11,510)
-            elif split == "train":
-                idx_range=(601,974)
-            elif split == "validation":
-                idx_range=(511, 600)
-            else:
-                idx_range=(1,10)
-            
-            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
-                
-                idx = int(d['title'].split('/')[-1])
-                if not (idx_range[0] <= idx <= idx_range[1]):
-                    continue
-                d['test_list'] = json.dumps(d['test_list'])
-                d['solution'] = d.pop('solution_python')
-                yield id_, d
-                id_+=1
-                
+  def _generate_examples(self, filepath, split):
+    """ Yields the examples from the dataset"""
+    with open(filepath, encoding='utf-8') as file:
+      id_ = 0
+      idx_range = None
+      if split == 'test':
+        idx_range = (11, 510)
+      elif split == "train":
+        idx_range = (601, 974)
+      elif split == "validation":
+        idx_range = (511, 600)
+      else:
+        idx_range = (1, 10)
+
+      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
+
+        idx = int(d['title'].split('/')[-1])
+        if not (idx_range[0] <= idx <= idx_range[1]):
+          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['solution'] = d.pop('solution_python')
+        yield id_, d
+        id_ += 1