loading script for locally hosted data

TGIF.py

@@ -27,12 +27,7 @@ and three sentences per GIF for the test split. The dataset shall be used to eva
 
 _URL_BASE = "http://raingo.github.io/TGIF-Release/"
 
-_DL_URL = "https://github.com/raingo/TGIF-Release/archive/master.zip"
-_DL_URLS = {
-        "dev": _DL_URL,
-        "test": _DL_URL,
-        "train": _DL_URL,
-    }
+_DL_PATH = "data.tar.gz"
 
 class TGIFConfig(datasets.BuilderConfig):
     """BuilderConfig for TGIF."""
@@ -62,15 +57,16 @@ class TGIF(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        archive_path = dl_manager.download(_DL_URLS)
+        archive_path = dl_manager.download(_DL_PATH)
         # (Optional) In non-streaming mode, we can extract the archive locally to have actual local audio files:
         local_extracted_archive = dl_manager.extract(archive_path) if not dl_manager.is_streaming else {}
         train_splits = [
                 datasets.SplitGenerator(
                     name="train",
                     gen_kwargs={
-                        "local_extracted_archive": local_extracted_archive.get("train"),
-                        "files": dl_manager.iter_archive(archive_path["train"]),
+                        "local_extracted_archive": local_extracted_archive,
+                        "files": dl_manager.iter_archive(_DL_PATH),
+                        "split": "train"
                     },
                 )
             ]
@@ -78,8 +74,9 @@ class TGIF(datasets.GeneratorBasedBuilder):
                 datasets.SplitGenerator(
                     name=datasets.Split.VALIDATION,
                     gen_kwargs={
-                        "local_extracted_archive": local_extracted_archive.get("dev"),
-                        "files": dl_manager.iter_archive(archive_path["dev"]),
+                        "local_extracted_archive": local_extracted_archive,
+                        "files": dl_manager.iter_archive(_DL_PATH),
+                        "split": "dev"
                     },
                 )
             ]
@@ -87,21 +84,42 @@ class TGIF(datasets.GeneratorBasedBuilder):
                 datasets.SplitGenerator(
                     name=datasets.Split.TEST,
                     gen_kwargs={
-                        "local_extracted_archive": local_extracted_archive.get("test"),
-                        "files": dl_manager.iter_archive(archive_path["test"]),
+                        "local_extracted_archive": local_extracted_archive,
+                        "files": dl_manager.iter_archive(_DL_PATH),
+                        "split": "test"
                     },
                 )
             ]
         return train_splits + dev_splits + test_splits
 
-    def _generate_examples(self, files, local_extracted_archive):
+    def _generate_examples(self, files, local_extracted_archive, split):
         """This function returns the examples."""
 
+        dict = {}
         for path, f in files:
-         if path.endswith("tgif-v1.0.tsv"):
-            tsv_reader = csv.reader(f, delimiter="\t", quotechar='"' )
-            for idx, (video_link, text) in enumerate(tsv_reader):
-                yield idx, {
-                    "video_id": video_link,
-                    "caption": text,
-                }
+            if path.endswith(split + ".txt"):
+                print(path)
+                with open(path,'r') as txt_file:
+                    for line in txt_file:
+                        line = line[0:-1]
+                        dict[line] = []
+        for path, f in files:
+            if path.endswith("tgif-v1.0.tsv"):
+                print(path)
+                with open(path, encoding="utf-8") as tsv_file:
+                    tsv_reader = csv.reader(tsv_file, delimiter="\t", quotechar='"' )
+
+                    for idx, (video_link, text) in enumerate(tsv_reader):
+                        try:        
+                            dict[video_link].append(text)
+                        except Exception:
+                            pass
+                        
+        for idx, video_link in enumerate(dict):
+            yield idx, {
+                "video_id": video_link,
+                "captions": dict[video_link],
+            }
+                
+        
+            

data.tar.gz

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f9cf466b482b180125a62838dfcaf1882738ef9a354b4886bf9f5dd3065526e3
-size 10681716
+oid sha256:f6048ad1377410b5df8c4c20229ddaa176dc7a8d12438fb5eca4f97625232f0d
+size 10681675