init

fetch_dataset_s2t.py

@@ -81,8 +81,7 @@ def get_metadata():
     df = pd.read_csv(meta_data_path.replace(".gz", ""), sep=r'[\t\s]', header=None)
     df = df[[0, 2, 3, 4, 9, 10, 11, 12]]
     df.columns = ["id", "url", "duration_start", "duration_end", "laser_score", "direction", "side", "line_no"]
-    if direction == "enA-jpn":
-        df = df[df["side"] == "enA"]
+    df = df[df["side"] == "enA"]
     assert len(df["direction"].unique()) == 1
     df.pop("direction")
     return df.sort_values(by=["line_no", "side"])

main_s2t.sh

@@ -35,6 +35,18 @@ do
   cat seamless.dataset.metadata.public.${DIRECTION_SPEECH}-${DIRECTION_TEXT}.withduration.reordered.batch_${i}.tsv | egrep ^crawl-data | tr '\t' ' ' | wet_lines | tee metadata.${DIRECTION_SPEECH}-${DIRECTION_TEXT}.batch_${i}.tsv &
 done
 python format_text.py
+# audio
+for i in $(seq 1 300);
+do
+  export N_POOL=15
+  export DATASET_ID=${i}
+  export DIRECTION_SPEECH="enA"
+  export DIRECTION_TEXT="est"
+  export LINE_NO_START=$(((DATASET_ID-1) * 2500))
+  export LINE_NO_END=$((DATASET_ID * 2500))
+  echo ${LINE_NO_START}
+  python fetch_dataset_s2t.py
+done
 
 
 ######################
@@ -51,7 +63,7 @@ do
 done
 python format_text.py
 # audio
-for i in $(seq 140 294);
+for i in $(seq 1 294);
 do
   export N_POOL=15
   export DATASET_ID=${i}