split data

data_preparation.py

@@ -0,0 +1,43 @@
+import json
+from sklearn.model_selection import train_test_split
+
+
+def split_data(file_name: str, data_type: str):
+    if data_type == "json":
+        with open(file_name, 'r') as json_file:
+            data = json.load(json_file)["data"]
+            json_file.close()
+
+    train, test = train_test_split(data, train_size=0.9, random_state=42)
+    return(train, test)
+
+
+def save_json(data: dict, file_name: str):
+    """
+    Method to save the json file.
+    Parameters:
+    ----------
+    data: dict,
+        data to be saved in file.
+    file_name: str,
+        name of the file.
+    Returns:
+    --------
+    None
+    """
+
+    # save the split
+    with open(file_name, "w") as data_file:
+        json.dump(data, data_file, indent=2)
+        data_file.close()
+
+
+if __name__ == "__main__":
+    # split the train data
+    train, test = split_data("policies-qa-training.json", "json")
+
+    # save the train split
+    save_json(train, "train.json")
+
+    # save the test split
+    save_json(test, "test.json")

policies.py

@@ -6,13 +6,16 @@ from datasets.tasks import QuestionAnsweringExtractive
 
 logger = datasets.logging.get_logger(__name__)
 
+_CITATION = """"""
+
 _DESCRIPTION = """\
 Manually generated dataset for policies qa
 """
 
 _URLS = {
-    "train": "./policies-qa-training.json"
-}
+                "train": "./data/train.json",
+                "test": "./data/test.json"
+        }
 
 
 class PoliciesQAConfig(datasets.BuilderConfig):
@@ -63,6 +66,7 @@ class PoliciesQA(datasets.GeneratorBasedBuilder):
                     question_column="question", context_column="context", answers_column="answers"
                 )
             ],
+            citation=_CITATION,
         )
 
     def _split_generators(self, dl_manager):