Update Scifi_TV_Shows.py

Scifi_TV_Shows.py

@@ -33,13 +33,7 @@ url={https://ojs.aaai.org//index.php/AAAI/article/view/6232}
 
 _DESCRIPTION = 'Loading script for the science fiction TV show plot dataset.'
 
-URL = 'https://huggingface.co/datasets/lara-martin/Scifi_TV_Shows/blob/main/'
-_URLS = {
-'test':URL+'Test-Train-Val/all-sci-fi-data-test.txt',
-'train':URL+'Test-Train-Val/all-sci-fi-data-train.txt',
-'val':URL+'Test-Train-Val/all-sci-fi-data-val.txt',
-'all':URL+'all-sci-fi-data.txt',
-}
+_URLS = {'Scifi_TV_Shows': "https://huggingface.co/datasets/lara-martin/Scifi_TV_Shows/resolve/main/scifiTVshows.zip"}
 
 _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"]
 
@@ -78,62 +72,69 @@ class Scifi_TV_Shows(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        downloaded_files = dl_manager.download(_URLS)
+        my_urls = _URLS[self.config.name]
+        archive = dl_manager.download(my_urls)
         return[
                 datasets.SplitGenerator(
                     name=datasets.Split.TRAIN,
                     gen_kwargs={
-                        'filepath': downloaded_files['train'],
+                        'filepath': "all-sci-fi-data-train.txt",
                         "split": "train",
+                        "files": dl_manager.iter_archive(archive),
                     },
                 ),
                 datasets.SplitGenerator(
                     name=datasets.Split.TEST,
                     gen_kwargs={
-                        'filepath': downloaded_files['test'],
+                        'filepath': "all-sci-fi-data-test.txt"
                         "split": "test",
+                        "files": dl_manager.iter_archive(archive),
                     },
                 ),
                 datasets.SplitGenerator(
                     name=datasets.Split.VALIDATION,
                     gen_kwargs={
-                        'filepath': downloaded_files['val'],
+                        'filepath': "all-sci-fi-data-val.txt",
                         "split": "val",
+                        "files": dl_manager.iter_archive(archive),
                     },
                 ),
                 datasets.SplitGenerator(
                     name="all",
                     gen_kwargs={
-                        'filepath': downloaded_files['all'],
+                        'filepath': "all-sci-fi-data.txt",
                         "split": "all",
+                        "files": dl_manager.iter_archive(archive),
                     },
                 ),     
          ]                                                                             
 
-    def _generate_examples(self, filepath):
-        story_count = 0
-        with open(filepath, encoding="utf-8") as f:
-            story = []                 
-            for id_, line in enumerate(f.readlines()):
-                line = line.strip()
-                if "%%%%%%" in line:
-                    for l in story:
-                        event, gen_event, sent, gen_sent = l.split("|||")
-                        line = line.replace("%%%%%%%%%%%%%%%%%", "")
-                        entities = line.replace("defaultdict(<type 'list'>, ", "")[:-1]
-                        yield id_, {
-                        'story_num': story_count,
-                        'event': eval(event),
-                        'gen_event': eval(gen_event),
-                        'sent': sent,
-                        'gen_sent': gen_sent,                       
-                        'entities': entities,
-                        }
-                    story = []
-                    story_count+=1
-                elif "<EOS>" in line:
-                    continue
-                else:
-                    story.append(line)
+    def _generate_examples(self, filepath, files):
+        for path, f in files:
+            if path == filepath:
+                story_count = 0
+                with open(filepath, encoding="utf-8") as f:
+                    story = []                 
+                    for id_, line in enumerate(f.readlines()):
+                        line = line.strip()
+                        if "%%%%%%" in line:
+                            for l in story:
+                                event, gen_event, sent, gen_sent = l.split("|||")
+                                line = line.replace("%%%%%%%%%%%%%%%%%", "")
+                                entities = line.replace("defaultdict(<type 'list'>, ", "")[:-1]
+                                yield id_, {
+                                'story_num': story_count,
+                                'event': eval(event),
+                                'gen_event': eval(gen_event),
+                                'sent': sent,
+                                'gen_sent': gen_sent,                       
+                                'entities': entities,
+                                }
+                            story = []
+                            story_count+=1
+                        elif "<EOS>" in line:
+                            continue
+                        else:
+                            story.append(line)