Make script parallelizable (#3)

- Make script parallelizable (b89324d4754d89c8332d8b2999b22353946d5809)

quickdraw.py

@@ -246,6 +246,7 @@ class Quickdraw(datasets.GeneratorBasedBuilder):
             files = dl_manager.download(
                 {name: url for name, url in zip(_NAMES, [base_url.format(name) for name in _NAMES])}
             )
+            files = [(name, file) for name, file in files.items()]
             return [
                 datasets.SplitGenerator(
                     name=datasets.Split.TRAIN,
@@ -259,6 +260,7 @@ class Quickdraw(datasets.GeneratorBasedBuilder):
             files = dl_manager.download_and_extract(
                 {name: url for name, url in zip(_NAMES, [base_url.format(name) for name in _NAMES])}
             )
+            files = [(name, file) for name, file in files.items()]
             return [
                 datasets.SplitGenerator(
                     name=datasets.Split.TRAIN,
@@ -286,7 +288,7 @@ class Quickdraw(datasets.GeneratorBasedBuilder):
     def _generate_examples(self, files, split):
         if self.config.name == "raw":
             idx = 0
-            for _, file in files.items():
+            for _, file in files:
                 with open(file, encoding="utf-8") as f:
                     for line in f:
                         example = json.loads(line)
@@ -296,7 +298,7 @@ class Quickdraw(datasets.GeneratorBasedBuilder):
                         idx += 1
         elif self.config.name == "preprocessed_simplified_drawings":
             idx = 0
-            for label, file in files.items():
+            for label, file in files:
                 with open(file, "rb") as f:
                     while True:
                         try:
@@ -308,7 +310,7 @@ class Quickdraw(datasets.GeneratorBasedBuilder):
                         idx += 1
         elif self.config.name == "preprocessed_bitmaps":
             idx = 0
-            for label, file in files.items():
+            for label, file in files:
                 with open(file, "rb") as f:
                     images = np.load(f)
                     for image in images:
@@ -319,7 +321,7 @@ class Quickdraw(datasets.GeneratorBasedBuilder):
                         idx += 1
         else:  # sketch_rnn, sketch_rnn_full
             idx = 0
-            for label, file in files.items():
+            for label, file in files:
                 with open(os.path.join(file, f"{split}.npy"), "rb") as f:
                     # read entire file since f.seek is not supported in the streaming mode
                     drawings = np.load(io.BytesIO(f.read()), encoding="latin1", allow_pickle=True)