Update tp3.py

tp3.py

@@ -2,7 +2,6 @@ import json
 
 import datasets
 
-
 _DESCRIPTION = """Translating Python Programming Puzzles (TP3) is a code translation benchmark created from the verification functions from the questions in the original Python Programming Puzzles dataset (Schuster et al., 2021) to create this dataset. These functions are hand-crafted by the authors and are used to check if an answer satisfies the constraints of the puzzle. These puzzles range in difficulty from basic character checking to competitive programming problems. Thus, each verification function is written by an expert python programmer and requires a significant understanding of programming to translate. In total, there are 370 python functions to translate."""
 
 _URL = "https://raw.githubusercontent.com/google-research/babelcode/main/data/hf_datasets/tp3.jsonl"
@@ -47,87 +46,80 @@ _LICENSE = "CC-BY-4.0"
 
 _VERSION = "1.0.0"
 
-_KEYS_REMOVE = {
-    "header"
-}
 
 class TP3(datasets.GeneratorBasedBuilder):
-    """TP3"""
-
-    VERSION = datasets.Version(_VERSION)
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(
-            name="all",
-            version=datasets.Version(_VERSION),
-            description=_DESCRIPTION,
+  """TP3"""
+
+  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": 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.TEST,
+            gen_kwargs={"filepath": data_dir},
         ),
-    ] + [
-        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":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'] = d.pop('solution_python')
-                
-                for k in _KEYS_REMOVE:
-                    d.pop(k)
-                yield id_, d
-                id_+=1
-                
-                
+  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['test_list'] = json.dumps(d['test_list'])
+        d['source'] = d.pop('solution_python')
+
+        yield id_, d
+        id_ += 1