upload data

data/{train/medium/c-00000-of-00001.parquet → test/java-00000-of-00001.parquet}

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data/{train/small/c-00000-of-00001.parquet → test/javascript-00000-of-00001.parquet}

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data/test/php-00000-of-00001.parquet

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data/{train/medium → test}/python-00000-of-00001.parquet

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data/train/full/php-00000-of-00013.parquet

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data/train/small/java-00000-of-00002.parquet

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data/train/small/javascript-00000-of-00001.parquet

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data/train/small/python-00000-of-00002.parquet

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data/train/small/python-00001-of-00002.parquet

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data/validation/java-00000-of-00001.parquet

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data/validation/php-00000-of-00001.parquet

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data/{train/small → validation}/python-00000-of-00001.parquet

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the-vault-function.py

@@ -9,14 +9,14 @@ _REPO_NAME = 'Fsoft-AIC/the-vault-function'
 _LANG_TO_TEXT = {
     "python": "python",
     "c": "c",
-    # "c#": "c_sharp",
-    # "c++": "cpp",
-    # "go": "go",
-    # "Java": "java",
-    # "javascript": "javascript",
-    # "php": "php",
-    # "ruby": "ruby",
-    # "rust": "rust",
+    "c#": "c_sharp",
+    "c++": "cpp",
+    "go": "go",
+    "Java": "java",
+    "javascript": "javascript",
+    "php": "php",
+    "ruby": "ruby",
+    "rust": "rust",
 }
 
 
@@ -35,7 +35,7 @@ for lang in _LANG_TO_TEXT:
 
 
         
-_LANG_CONFIGS = ["all"] + list(_TEXT_TO_LANG.keys())
+_LANG_CONFIGS = ["all"] + list(_LANG_TO_TEXT.keys())
 
 num_shard_split = {
     'train/small/python': 1,
@@ -43,7 +43,7 @@ num_shard_split = {
     'train/small/c': 1,
     'train/medium/c': 1
 }  
-_SPLIT_CONFIGS = ["all", "train", "train/small", "train/medium"]
+_SPLIT_CONFIGS = ["all", "train", "train/small", "train/medium", "train/full", "validation", "test"]
 
 class TheVaultFunctionConfig(datasets.BuilderConfig):
     """BuilderConfig for The Vault dataset."""
@@ -57,7 +57,7 @@ class TheVaultFunctionConfig(datasets.BuilderConfig):
         """
         super().__init__(
             *args,
-            name= "+".join([split.replace("/", "_") for split in split_set]) + "-" + "+".join(languages),
+            name= "+".join([split.replace("/", "_") for split in split_set]) + "-" + "+".join([_LANG_TO_TEXT[lang] for lang in languages]),
             **kwargs,
         )
         
@@ -66,28 +66,27 @@ class TheVaultFunctionConfig(datasets.BuilderConfig):
         
         assert all([language in _LANG_CONFIGS for language in languages]), f"languages {languages} contains language not in {_LANG_CONFIGS}."
         assert all([split in _SPLIT_CONFIGS for split in split_set]), f"split_set {split_set} contains element not in {_SPLIT_CONFIGS}."
-        
+
         if "all" in split_set:
             assert len(split_set)==1, f"Passed 'all' together with other split sets. {split_set}"
-        elif "train" in split_set:
+        elif "train" in split_set or "train/full" in split_set:
             for split in split_set:
-                if "train" in split and split != "train":
-                    raise ValueError(f"Split set 'train' already contains '{split}'. Please only include one.")
+                if ("train" in split and split != "train") or ("train" in split and split != "train/full"):
+                    raise ValueError(f"Split set 'train' (or 'train/full) already contains '{split}'. Please only include one.")
 
         if "all" in languages:
             assert len(languages)==1, f"Passed 'all' together with other languages. {languages}"
-        #     self.filter_languages = False
-        # else:
-        #     self.filter_languages = True
+        else:
+            languages = [_LANG_TO_TEXT[lang] for lang in languages] # Convert to text name
         
-        self.languages = set(languages)
-        self.split_set= split_set
+        self.languages = list(languages)
+        self.split_set= list(split_set)
 
 
 class TheVaultFunction(datasets.GeneratorBasedBuilder):
     """The Vault dataset."""
 
-    VERSION = datasets.Version("1.0.1")
+    VERSION = datasets.Version("1.0.0")
     
     BUILDER_CONFIG_CLASS = TheVaultFunctionConfig
     BUILDER_CONFIGS = [TheVaultFunctionConfig(languages=[lang], split_set=[spl]) for lang in _LANG_CONFIGS for spl in _SPLIT_CONFIGS]
@@ -98,6 +97,7 @@ class TheVaultFunction(datasets.GeneratorBasedBuilder):
         return datasets.DatasetInfo(
             description=_DESCRIPTION,
             features=datasets.Features({
+                                            "hexsha": datasets.Value("string"),
                                             "repo": datasets.Value("string"),
                                             "path": datasets.Value("string"), 
                                             "license": datasets.Sequence(datasets.Value("string")),
@@ -141,7 +141,7 @@ class TheVaultFunction(datasets.GeneratorBasedBuilder):
                                                             "type": datasets.Value("string"),
                                                             "docstring": datasets.Value("string"),
                                                             "docstring_tokens": datasets.Sequence(datasets.Value("string")),
-                                                            "default": datasets.Value("bool"),
+                                                            "default": datasets.Value("string"),
                                                             "is_optional": datasets.Value("bool")
                                                         }
                                                     ],
@@ -151,7 +151,7 @@ class TheVaultFunction(datasets.GeneratorBasedBuilder):
                                                             "type": datasets.Value("string"),
                                                             "docstring": datasets.Value("string"),
                                                             "docstring_tokens": datasets.Sequence(datasets.Value("string")),
-                                                            "default": datasets.Value("bool"),
+                                                            "default": datasets.Value("string"),
                                                             "is_optional": datasets.Value("bool")
                                                         }
                                                     ],
@@ -172,22 +172,18 @@ class TheVaultFunction(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
         generators = []
-        split_set = list(self.config.split_set)
-        languages = list(self.config.languages)
 
         if "all" in split_set:
-            split_set = _SPLIT_CONFIGS[1:]
+            split_set = ["train/full", "validation", "test"]
 
-        load_full_train = False
         if "train" in split_set:
             split_set.remove('train')
-            split_set.extend(["train/small", "train/medium"])
-            load_full_train = True
+            split_set.extend(["train/full"])
         
         if "all" in languages:
             languages = _LANG_CONFIGS[1:]
 
-        train_split_files = []
+        # train_split_files = []
         for split in split_set:
             split_files = []
             for language in languages:
@@ -199,43 +195,37 @@ class TheVaultFunction(datasets.GeneratorBasedBuilder):
                 files = dl_manager.download(data_files)
                 split_files.extend(files)
 
-            if load_full_train and "train" in split:
-                train_split_files.extend(split_files)
-            else:
+            # if load_full_train and "train" in split:
+            #     train_split_files.extend(split_files)
+            # else:
+
                 generators.append(
                     datasets.SplitGenerator(
-                        name=split.replace("/", "_"),
+                        name="train" if split == "train/full" else split.replace("/", "_"),
                         gen_kwargs={
                             "files": split_files,
                         },
                     ),
                 )
                 
-        if load_full_train and train_split_files:
-            generators = [datasets.SplitGenerator(name="train", gen_kwargs={"files": train_split_files})] + generators
+        # if load_full_train and train_split_files:
+        #     generators = [datasets.SplitGenerator(name="train", gen_kwargs={"files": train_split_files})] + generators
 
 
         return generators
 
     def _generate_examples(self, files):
-        print(files)
         key = 0
         for file_idx, file in enumerate(files):
             with open(file, "rb") as f:
                 parquet_file = pq.ParquetFile(f)
                 for batch_idx, record_batch in enumerate(parquet_file.iter_batches(batch_size=10_000)):
                     pa_table = pa.Table.from_batches([record_batch])
-                    print(pa_table)
                     for row_index in range(pa_table.num_rows):
                         row = pa_table.slice(row_index, 1).to_pydict()
-                        print(row.keys())
-                        print(row['comment'])
-                        # lang = row['language'][0]
-                        
-                        # if self.config.filter_languages and not lang in self.config.languages:
-                        #     continue
                         
                         yield key, {
+                                        "hexsha": row['hexsha'][0],
                                         "repo": row['repo'][0],
                                         "path": row['path'][0], 
                                         "license": row['license'][0],