init
Browse files- fetch_dataset_s2t.py +1 -2
- main_s2t.sh +13 -1
fetch_dataset_s2t.py
CHANGED
@@ -81,8 +81,7 @@ def get_metadata():
|
|
81 |
df = pd.read_csv(meta_data_path.replace(".gz", ""), sep=r'[\t\s]', header=None)
|
82 |
df = df[[0, 2, 3, 4, 9, 10, 11, 12]]
|
83 |
df.columns = ["id", "url", "duration_start", "duration_end", "laser_score", "direction", "side", "line_no"]
|
84 |
-
|
85 |
-
df = df[df["side"] == "enA"]
|
86 |
assert len(df["direction"].unique()) == 1
|
87 |
df.pop("direction")
|
88 |
return df.sort_values(by=["line_no", "side"])
|
|
|
81 |
df = pd.read_csv(meta_data_path.replace(".gz", ""), sep=r'[\t\s]', header=None)
|
82 |
df = df[[0, 2, 3, 4, 9, 10, 11, 12]]
|
83 |
df.columns = ["id", "url", "duration_start", "duration_end", "laser_score", "direction", "side", "line_no"]
|
84 |
+
df = df[df["side"] == "enA"]
|
|
|
85 |
assert len(df["direction"].unique()) == 1
|
86 |
df.pop("direction")
|
87 |
return df.sort_values(by=["line_no", "side"])
|
main_s2t.sh
CHANGED
@@ -35,6 +35,18 @@ do
|
|
35 |
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 &
|
36 |
done
|
37 |
python format_text.py
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
38 |
|
39 |
|
40 |
######################
|
@@ -51,7 +63,7 @@ do
|
|
51 |
done
|
52 |
python format_text.py
|
53 |
# audio
|
54 |
-
for i in $(seq
|
55 |
do
|
56 |
export N_POOL=15
|
57 |
export DATASET_ID=${i}
|
|
|
35 |
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 &
|
36 |
done
|
37 |
python format_text.py
|
38 |
+
# audio
|
39 |
+
for i in $(seq 1 300);
|
40 |
+
do
|
41 |
+
export N_POOL=15
|
42 |
+
export DATASET_ID=${i}
|
43 |
+
export DIRECTION_SPEECH="enA"
|
44 |
+
export DIRECTION_TEXT="est"
|
45 |
+
export LINE_NO_START=$(((DATASET_ID-1) * 2500))
|
46 |
+
export LINE_NO_END=$((DATASET_ID * 2500))
|
47 |
+
echo ${LINE_NO_START}
|
48 |
+
python fetch_dataset_s2t.py
|
49 |
+
done
|
50 |
|
51 |
|
52 |
######################
|
|
|
63 |
done
|
64 |
python format_text.py
|
65 |
# audio
|
66 |
+
for i in $(seq 1 294);
|
67 |
do
|
68 |
export N_POOL=15
|
69 |
export DATASET_ID=${i}
|