.

Controlled-Text-Reduction-dataset.py

@@ -300,25 +300,25 @@ SOFTWARE."""
 
 
 
-# _URLs = {
-#     "DUC-2001-2002": {
-#         "dev": "https://github.com/lovodkin93/Controlled_Text_Reduction/tree/main/data/dev_DUC-2001-2002.csv",
-#         "test": "https://github.com/lovodkin93/Controlled_Text_Reduction/tree/main/data/test_DUC-2001-2002.csv",
-#         "train": "https://github.com/lovodkin93/Controlled_Text_Reduction/tree/main/data/train_DUC-2001-2002.csv"
-#     },  
-#     "CNN-DM": {
-#         "train": "https://github.com/lovodkin93/Controlled_Text_Reduction/tree/main/data/train_CNNDM.csv",
-#         "dev": "https://github.com/lovodkin93/Controlled_Text_Reduction/tree/main/data/dev_DUC-2001-2002.csv",
-#         "test": "https://github.com/lovodkin93/Controlled_Text_Reduction/tree/main/data/test_DUC-2001-2002.csv",
-#     },    
-# }
-
 _URLs = {
-        "dev_DUC-2001-2002": "https://media.githubusercontent.com/media/lovodkin93/Controlled_Text_Reduction/main/data/dev_DUC-2001-2002.csv",
-        "test_DUC-2001-2002": "https://media.githubusercontent.com/media/lovodkin93/Controlled_Text_Reduction/main/data/test_DUC-2001-2002.csv",
-        "train_DUC-2001-2002": "https://media.githubusercontent.com/media/lovodkin93/Controlled_Text_Reduction/main/data/train_DUC-2001-2002.csv"   
+    "DUC-2001-2002": {
+        "train": "https://media.githubusercontent.com/media/lovodkin93/Controlled_Text_Reduction/main/data/train_DUC-2001-2002.csv",
+        "dev": "https://media.githubusercontent.com/media/lovodkin93/Controlled_Text_Reduction/main/data/dev_DUC-2001-2002.csv",
+        "test": "https://media.githubusercontent.com/media/lovodkin93/Controlled_Text_Reduction/main/data/test_DUC-2001-2002.csv",
+    },  
+    "CNN-DM": {
+        "train": "https://media.githubusercontent.com/media/lovodkin93/Controlled_Text_Reduction/main/data/train_CNNDM.csv",
+        "dev": "https://media.githubusercontent.com/media/lovodkin93/Controlled_Text_Reduction/main/data/dev_DUC-2001-2002.csv",
+        "test": "https://media.githubusercontent.com/media/lovodkin93/Controlled_Text_Reduction/main/data/test_DUC-2001-2002.csv",
+    },    
 }
 
+# _URLs = {
+#         "dev_DUC-2001-2002": "https://media.githubusercontent.com/media/lovodkin93/Controlled_Text_Reduction/main/data/dev_DUC-2001-2002.csv",
+#         "test_DUC-2001-2002": "https://media.githubusercontent.com/media/lovodkin93/Controlled_Text_Reduction/main/data/test_DUC-2001-2002.csv",
+#         "train_DUC-2001-2002": "https://media.githubusercontent.com/media/lovodkin93/Controlled_Text_Reduction/main/data/train_DUC-2001-2002.csv"   
+# }
+
 
 COLUMNS = ["doc_text", "summary_text", "highlight_spans"]
 
@@ -398,37 +398,82 @@ class ControlledTectReduction(datasets.GeneratorBasedBuilder):
             # Citation for the dataset
             citation=_CITATION,
         )
+
             
     def _split_generators(self, dl_manager: datasets.utils.download_manager.DownloadManager):
         """Returns SplitGenerators."""            
         
-        # Download and prepare all files - keep same structure as _URLs 
-        corpora = {section:  Path(dl_manager.download_and_extract(_URLs[section])) 
-                   for section in _URLs} 
-            
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "filepath": corpora["train_DUC-2001-2002"],
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "filepath": corpora["dev_DUC-2001-2002"],
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "filepath": corpora["test_DUC-2001-2002"],
-                },
-            ),
-        ]
+        URLs = _URLs[self.config.data_source]
+        # Download and prepare all files - keep same structure as URLs 
+        corpora = {section:  Path(dl_manager.download_and_extract(URLs[section])) 
+                   for section in URLs} 
+        
+        if self.config.data_source=="CNN-DM":
+            return [
+                datasets.SplitGenerator(
+                    name=datasets.Split.TRAIN,
+                    # These kwargs will be passed to _generate_examples
+                    gen_kwargs={
+                        "filepath": corpora["train"]
+                    },
+                ),
+                datasets.SplitGenerator(
+                    name=datasets.Split.VALIDATION,
+                    # These kwargs will be passed to _generate_examples
+                    gen_kwargs={
+                        "filepath": corpora["dev"]
+                    },
+                ),
+                datasets.SplitGenerator(
+                    name=datasets.Split.TEST,
+                    # These kwargs will be passed to _generate_examples
+                    gen_kwargs={
+                        "filepath": corpora["test"]
+                    },
+                ),
+            ]
+
+        else:
+            return [
+                datasets.SplitGenerator(
+                    name=datasets.Split.TRAIN,
+                    # These kwargs will be passed to _generate_examples
+                    gen_kwargs={
+                        "filepath": corpora["train"]
+                    },
+                ),
+                datasets.SplitGenerator(
+                    name=datasets.Split.VALIDATION,
+                    # These kwargs will be passed to _generate_examples
+                    gen_kwargs={
+                        "filepath": corpora["dev"]
+                    },
+                ),
+                datasets.SplitGenerator(
+                    name=datasets.Split.TEST,
+                    # These kwargs will be passed to _generate_examples
+                    gen_kwargs={
+                        "filepath": corpora["test"]
+                    },
+                ),
+            ]
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
     
     def _generate_examples(self, filepath: List[str]):