error fix

snow-mountain.py

@@ -97,92 +97,38 @@ class Test(datasets.GeneratorBasedBuilder):
         downloaded_files = dl_manager.download(_FILES[self.config.name])
         path_to_audios = "/".join(["data/cleaned", self.config.name])
 
-        train_splits = [
-                datasets.SplitGenerator(
-                    name="train_500",
-                    gen_kwargs={
-                        "filepath": downloaded_files["train_500"],
-                        "dl_manager": dl_manager,
-                    },
-                ),
-                datasets.SplitGenerator(
-                    name="train_1000",
-                    gen_kwargs={
-                        "filepath": downloaded_files["train_1000"],
-                        "dl_manager": dl_manager,
-                    },
-                ),
-                datasets.SplitGenerator(
-                    name="train_2500",
-                    gen_kwargs={
-                        "filepath": downloaded_files["train_2500"],
-                        "dl_manager": dl_manager,
-                    },
-                ),
-                datasets.SplitGenerator(
-                    name="train_short",
-                    gen_kwargs={
-                        "filepath": downloaded_files["train_short"],
-                        "dl_manager": dl_manager,
-                    },
-                ),
-                datasets.SplitGenerator(
-                    name="train_full",
-                    gen_kwargs={
-                        "filepath": downloaded_files["train_full"],
-                        "dl_manager": dl_manager,
-                    },
-                ),
-        ]
+        data_size = ['500', '1000', '2500', 'short', 'full']
 
-        dev_splits = [
-                datasets.SplitGenerator(
-                    name="val_500",
-                    gen_kwargs={
-                        "filepath": downloaded_files["val_500"],
-                        "dl_manager": dl_manager,
-                    },
-                ),
-                datasets.SplitGenerator(
-                    name="val_1000",
-                    gen_kwargs={
-                        "filepath": downloaded_files["val_1000"],
-                        "dl_manager": dl_manager,
-                    },
-                ),
-                datasets.SplitGenerator(
-                    name="val_2500",
-                    gen_kwargs={
-                        "filepath": downloaded_files["val_2500"],
-                        "dl_manager": dl_manager,
-                    },
-                ),
+        splits = []
+        for size in data_size:
+            splits.append(
                 datasets.SplitGenerator(
-                    name="val_short",
+                    name=f"train_{size}",
                     gen_kwargs={
-                        "filepath": downloaded_files["val_short"],
+                        "filepath": downloaded_files[f"train_{size}"],
                         "dl_manager": dl_manager,
                     },
-                ),
+                )
+            )
+            splits.append(
                 datasets.SplitGenerator(
-                    name="val_full",
+                    name=f"val_{size}",
                     gen_kwargs={
-                        "filepath": downloaded_files["val_full"],
+                        "filepath": downloaded_files[f"val_{size}"],
                         "dl_manager": dl_manager,
                     },
-                ),
-        ]
-
-        test_splits = [
+                )
+            )
+            splits.append(
                 datasets.SplitGenerator(
                     name="test_common",
                     gen_kwargs={
                         "filepath": downloaded_files["test_common"],
                         "dl_manager": dl_manager,
                     },
-                ),
-        ]
-        return train_splits + dev_splits + test_splits
+                )
+            )
+        return splits
 
         
     def _generate_examples(self, filepath, dl_manager):
@@ -192,12 +138,11 @@ class Test(datasets.GeneratorBasedBuilder):
             transcripts = []
             for index,row in data_df.iterrows():
                 downloaded_audio = dl_manager.download(row["path"])
-                # samplerate, audio_data = wavfile.read(downloaded_audio)
                 with open(downloaded_audio, 'rb') as fd:
-                    contents = fd.read()
+                    content = fd.read()
                 yield key, {
                         "sentence": row["sentence"],
                         "path": row["path"],
-                        "audio":{"path": row["path"], "bytes": contents}
+                        "audio":{"path": row["path"], "bytes": content}
                     }
                 key+=1