Update SciGraph.py

SciGraph.py

@@ -33,6 +33,12 @@ _HOMEPAGE = ""
 # The license information was obtained from https://github.com/boudinfl/ake-datasets as the dataset shared over here is taken from here
 _LICENSE = ""
 
+_URLS = {
+    'classes': 'class.json',
+    'function': 'assign.jsonl',
+    'topic': 'paper_new.jsonl'
+}
+
 # TODO: Add link to the official dataset URLs here
 
 
@@ -84,6 +90,7 @@ class SciGraph(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
+        data_dir = dl_manager.download_and_extract(_URLS)
 
         return [
             datasets.SplitGenerator(
@@ -91,23 +98,29 @@ class SciGraph(datasets.GeneratorBasedBuilder):
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
                     "split": "train",
+                    "classes": data_dir['classes'],
+                    "function": data_dir['function'],
+                    "topic": data_dir['topic']
                 },
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 # These kwargs will be passed to _generate_examples
                 gen_kwargs={
-                    "split": "test"
+                    "split": "test",
+                    "classes": data_dir['classes'],
+                    "function": data_dir['function'],
+                    "topic": data_dir['topic']
                 },
             )
         ]
 
     # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
-    def _generate_examples(self, split):
+    def _generate_examples(self, split, classes, function, topic):
         if self.config.name == 'function':
-            with open('class.json', 'r') as f:
+            with open(classes, 'r') as f:
                 functions = list(json.load(f).keys())
-            data = pd.read_json('assign.json')
+            data = pd.read_json(function)
 
             if split == 'train':
                 data = data.loc[data[functions].sum(axis=1) == 1]
@@ -130,7 +143,7 @@ class SciGraph(datasets.GeneratorBasedBuilder):
                     }
 
         if self.config.name == 'topic':
-            data = pd.read_json('paper_new.json')
+            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)