Convert the dataset to streaming mode.

MASSIVE.py

@@ -322,13 +322,13 @@ class MASSIVE(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
 
-        path = dl_manager.download_and_extract(_URL)
+        archive = dl_manager.download(_URL)
 
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
-                    "filepath": path,
+                    "files": dl_manager.iter_archive(archive),
                     "split": "train",
                     "lang": self.config.name,
                 }
@@ -336,7 +336,7 @@ class MASSIVE(datasets.GeneratorBasedBuilder):
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
                 gen_kwargs={
-                    "filepath": path,
+                    "files": dl_manager.iter_archive(archive),
                     "split": "dev",
                     "lang": self.config.name,
                 }
@@ -344,7 +344,7 @@ class MASSIVE(datasets.GeneratorBasedBuilder):
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 gen_kwargs={
-                    "filepath": path,
+                    "files": dl_manager.iter_archive(archive),
                     "split": "test",
                     "lang": self.config.name,
                 }
@@ -400,25 +400,30 @@ class MASSIVE(datasets.GeneratorBasedBuilder):
 
         return tokens, tags
 
-    def _generate_examples(self, filepath, split, lang):
+    def _generate_examples(self, files, split, lang):
 
         key_ = 0
 
         if lang == "all":
-            lang = _LANGUAGE_PAIRS
+            lang = _LANGUAGE_PAIRS.copy()
         else:
             lang = [lang]
         
         logger.info("⏳ Generating examples from = %s", ", ".join(lang))
 
-        for l in lang:
+        for path, f in files:
 
-            path = filepath + "/1.0/data/" + l + ".jsonl"
+            l = path.split("1.0/data/")[-1].split(".jsonl")[0]
+            
+            if not lang:
+                break
+            elif l in lang:
+                lang.remove(l)
+            else:
+                continue
 
             # Read the file
-            f = open(path ,"r")
-            lines = f.read().split("\n")
-            f.close()
+            lines = f.read().decode(encoding="utf-8").split("\n")
 
             for line in lines:
 

test_MASSIVE.py

@@ -19,7 +19,7 @@ dataset = load_dataset(source, "all")
 print(dataset)
 
 # print(dataset[0])
-f = dataset["train"][0]
+f = dataset["validation"][0]
 print(f)
 
 # tags = []