init

fetch_dataset_s2t.py

@@ -109,9 +109,9 @@ def cleanup(features, feature_file):
 
 def get_audio(dataframe: pd.DataFrame):
     features = {"line_no": int(dataframe.pop('line_no').values[0])}
-    if features["line_no"] not in text_corpus:
+    if str(features["line_no"]) not in line_no_to_text:
         return None
-    features[f"{direction_text}.text"] = text_corpus[features["line_no"]]
+    features[f"{direction_text}.text"] = line_no_to_text[str(features["line_no"])]
     feature_file = p_join(cache_dir_feature, f'{features["line_no"]}.json')
     features.update({f"{direction_speech}.{k}": to_json_serializable(v) for k, v in dataframe.iloc[0].to_dict().items()})
     identifier = os.path.basename(features[f"{direction_speech}.url"]).split(".")[-1]

main_s2t.sh

@@ -26,12 +26,11 @@ cd ../../
 ######################
 # test
 export DATASET_ID=test
-export DIRECTION="enA-jaA"
+export DIRECTION_SPEECH="enA"
+export DIRECTION_TEXT="jpn"
 export LINE_NO_START=0
 export LINE_NO_END=10
-python download_audio.py
-
-
+python fetch_dataset_s2t.py
 # DOWNLOAD AUDIO
 for i in $(seq 91 100);
 do
@@ -41,7 +40,7 @@ do
   export LINE_NO_START=$(((DATASET_ID-1) * 2500))
   export LINE_NO_END=$((DATASET_ID * 2500))
   echo ${LINE_NO_START}
-  python download_audio.py
+  python fetch_dataset_s2t.py
 done
 
 # text