init

download_audio.py

@@ -36,7 +36,7 @@ line_no_end = int(os.getenv("LINE_NO_END", 10000))
 dataset_id = os.getenv("DATASET_ID", 0)
 hf_org = os.getenv("HF_ORG", "asahi417")
 hf_dataset = f"seamless-align-{direction}"
-skip_wget = bool(int(os.getenv("SKIP_WGET", 1)))
+skip_wget = bool(int(os.getenv("SKIP_WGET", 0)))
 
 
 def wget(url: str, output_file: Optional[str] = None):
@@ -129,13 +129,13 @@ if __name__ == '__main__':
     if not skip_wget:
         df_metadata = get_metadata()
         print(f"metadata: {len(df_metadata)}, {line_no_start} --> {line_no_end}")
-        # inputs = [
-        #     g for line_no, g in df_metadata.groupby("line_no")
-        #     if line_no_start <= line_no < line_no_end and not os.path.exists(
-        #         p_join(cache_dir_feature, f'{int(line_no)}.json')
-        #     )
-        # ]
-        inputs = [g for line_no, g in df_metadata.groupby("line_no") if line_no_start <= line_no < line_no_end]
+        inputs = [
+            g for line_no, g in df_metadata.groupby("line_no")
+            if line_no_start <= line_no < line_no_end and not os.path.exists(
+                p_join(cache_dir_feature, f'{int(line_no)}.json')
+            )
+        ]
+        # inputs = [g for line_no, g in df_metadata.groupby("line_no") if line_no_start <= line_no < line_no_end]
         print(f"filtered unique lines: {len(inputs)}")
         if direction == "enA-jaA":
             inputs = [g for g in inputs if len(g["side"].unique()) == 2 and set(g["side"].unique()) == sides]