update main script

SciGraph.py

@@ -111,6 +111,16 @@ class SciGraph(datasets.GeneratorBasedBuilder):
                     "function": data_dir['function'],
                     "topic": data_dir['topic']
                 },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "split": "valid",
+                    "classes": data_dir['classes'],
+                    "function": data_dir['function'],
+                    "topic": data_dir['topic']
+                },
             )
         ]
 
@@ -125,7 +135,10 @@ class SciGraph(datasets.GeneratorBasedBuilder):
             data = data[['_id', 'abstract', 'label']]
             
             
-            train_data, test_data = train_test_split(data, test_size=0.1, random_state=42)
+            train_data, valid_data = train_test_split(data, test_size=0.1, random_state=42)
+            
+            test_data = pd.read_json(function)
+            test_data = test_data.loc[test_data[functions].sum(axis=1) == 0]
             if split == 'train':
                 for idx, row in train_data.iterrows():
                     yield idx, {
@@ -133,19 +146,29 @@ class SciGraph(datasets.GeneratorBasedBuilder):
                         "abstract": row.abstract,
                         "label": row.label
                     }
+            elif split == 'valid':
+                for idx, row in valid_data.iterrows():
+                    yield idx, {
+                        "id": row._id,
+                        "abstract": row.abstract,
+                        "label": row.label
+                    }
             elif split == 'test':
                 for idx, row in test_data.iterrows():
                     yield idx, {
                         "id": row._id,
                         "abstract": row.abstract,
-                        "label": row.label
+                        "label": -1
                     }
+                
+
 
         if self.config.name == 'topic':
             data = pd.read_json(topic)
             data = data.replace(to_replace=r'^\s*$', value=np.nan, regex=True).dropna(subset=['keywords'], axis=0)
 
             train_data, test_data = train_test_split(data, test_size=0.1, random_state=42)
+
             if split == 'train':
                 for idx, row in train_data.iterrows():
                     yield idx, {
@@ -153,10 +176,17 @@ class SciGraph(datasets.GeneratorBasedBuilder):
                         "abstract": row.abstract,
                         "keywords": row.keywords.split('#%#')
                     }
-            elif split == 'test':
+            elif split == 'valid':
                 for idx, row in test_data.iterrows():
                     yield idx, {
                         "id": row._id,
                         "abstract": row.abstract,
                         "keywords": row.keywords.split('#%#')
                     }
+            elif split == 'test':
+                for idx, row in data.iterrows():
+                    yield idx, {
+                        "id": row._id,
+                        "abstract": row.abstract,
+                        "keywords": row.keywords.split('#%#')
+                    }