Update Scifi_TV_Shows.py

Scifi_TV_Shows.py

@@ -33,8 +33,13 @@ url={https://ojs.aaai.org//index.php/AAAI/article/view/6232}
 
 _DESCRIPTION = 'Loading script for the science fiction TV show plot dataset.'
 
-_URLS = {"scifiTVshows":
-    'https://huggingface.co/datasets/lara-martin/Scifi_TV_Shows/tree/main/scifiTVshows.zip'}
+URL = 'https://huggingface.co/datasets/lara-martin/Scifi_TV_Shows/blob/main/'
+_URLS = {
+'test':'Test-Train-Val/all-sci-fi-data-test.txt',
+'train':'Test-Train-Val/all-sci-fi-data-train.txt',
+'val':'Test-Train-Val/all-sci-fi-data-val.txt',
+'all':'all-sci-fi-data.txt',
+}
 
 _INPUT_OUTPUT = ["all-sci-fi-data-test_input.txt", "all-sci-fi-data-test_output.txt", "all-sci-fi-data-train_input.txt", "all-sci-fi-data-train_output.txt", "all-sci-fi-data-val_input.txt", "all-sci-fi-data-val_output.txt"]
 
@@ -43,9 +48,9 @@ class ScifiTV(datasets.GeneratorBasedBuilder):
     BUILDER_CONFIGS = [
         datasets.BuilderConfig(
             version=datasets.Version('1.1.0'),
-            name=lang, 
+            name=k, 
             description=f'Science fiction TV show plot summaries.'
-        ) for lang in languages
+        ) for k in _URLS.keys()
     ]
 
     def _info(self):
@@ -73,72 +78,16 @@ class ScifiTV(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        lang = self.config.name
-        downloaded_files = dl_manager.download_and_extract(_URLS)
+        data = self.config.name
+        downloaded_files = dl_manager.download(_URLS)
 
         splits = [
             datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    'filepath': 'Test-Train-Val/all-sci-fi-data-test.txt',
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    'filepath': 'Test-Train-Val/all-sci-fi-data-val.txt',
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    'filepath': 'Test-Train-Val/all-sci-fi-data-train.txt',
-                },
-            ),
-            datasets.SplitGenerator(
-                name="all",
-                gen_kwargs={
-                    'filepath': 'all-sci-fi-data.txt',
-                },
-            ),
-            """
-            datasets.SplitGenerator(
-                name="test-input",
-                gen_kwargs={
-                    'filepath': 'Input_OutputFiles/all-sci-fi-data-test_input.txt',
-                },
-            ),
-            datasets.SplitGenerator(
-                name="test-output",
-                gen_kwargs={
-                    'filepath': 'Input_OutputFiles/all-sci-fi-data-test_output.txt',
-                },
-            ), 
-            datasets.SplitGenerator(
-                name="val-input",
-                gen_kwargs={
-                    'filepath': 'Input_OutputFiles/all-sci-fi-data-val_input.txt',
-                },
-            ), 
-            datasets.SplitGenerator(
-                name="val-input",
-                gen_kwargs={
-                    'filepath': 'Input_OutputFiles/all-sci-fi-data-val_output.txt',
-                },
-            ), 
-            datasets.SplitGenerator(
-                name="train-input",
-                gen_kwargs={
-                    'filepath': 'Input_OutputFiles/all-sci-fi-data-train_input.txt',
-                },
-            ), 
-            datasets.SplitGenerator(
-                name="train-input",
+                name=data,
                 gen_kwargs={
-                    'filepath': 'Input_OutputFiles/all-sci-fi-data-train_output.txt',
+                    'filepath': downloaded_files[data],
                 },
-            ),  
-            """                                                                                
+            ),                                                                               
         ]
         return splits