init
Browse files- main_s2s.sh +53 -215
- tokenize_dataset_s2s.py +1 -2
main_s2s.sh
CHANGED
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@@ -1,3 +1,42 @@
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| 1 |
######################
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| 2 |
# enA-frA: 3_054_258 #
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| 3 |
######################
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@@ -8,36 +47,6 @@ export LINE_NO_START=0
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export LINE_NO_END=10
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python fetch_dataset_s2s.py
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# main
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-
for i in $(seq 181 200);
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do
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export N_POOL=15
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-
export DATASET_ID=${i}
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-
export DIRECTION="enA-frA"
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export LINE_NO_START=$(((DATASET_ID-1) * 2500))
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export LINE_NO_END=$((DATASET_ID * 2500))
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echo ${LINE_NO_START}
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python fetch_dataset_s2s.py
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-
done
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for i in $(seq 256 280);
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do
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export N_POOL=15
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export DATASET_ID=${i}
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-
export DIRECTION="enA-frA"
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export LINE_NO_START=$(((DATASET_ID-1) * 2500))
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export LINE_NO_END=$((DATASET_ID * 2500))
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echo ${LINE_NO_START}
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python fetch_dataset_s2s.py
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-
done
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for i in $(seq 281 299);
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do
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export N_POOL=15
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export DATASET_ID=${i}
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export DIRECTION="enA-frA"
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| 36 |
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export LINE_NO_START=$(((DATASET_ID-1) * 2500))
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export LINE_NO_END=$((DATASET_ID * 2500))
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| 38 |
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echo ${LINE_NO_START}
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python fetch_dataset_s2s.py
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-
done
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for i in $(seq 1 600);
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do
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export N_POOL=15
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@@ -82,48 +91,7 @@ export LINE_NO_START=0
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export LINE_NO_END=10
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python fetch_dataset_s2s.py
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# main
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for i in $(seq
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do
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export N_POOL=15
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export DATASET_ID=${i}
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export DIRECTION="enA-esA"
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export LINE_NO_START=$(((DATASET_ID-1) * 2500))
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export LINE_NO_END=$((DATASET_ID * 2500))
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echo ${LINE_NO_START}
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python fetch_dataset_s2s.py
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-
done
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for i in $(seq 390 420);
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do
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export N_POOL=15
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export DATASET_ID=${i}
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export DIRECTION="enA-esA"
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export LINE_NO_START=$(((DATASET_ID-1) * 2500))
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export LINE_NO_END=$((DATASET_ID * 2500))
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echo ${LINE_NO_START}
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python fetch_dataset_s2s.py
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-
done
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for i in $(seq 451 500);
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do
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export N_POOL=15
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export DATASET_ID=${i}
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export DIRECTION="enA-esA"
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export LINE_NO_START=$(((DATASET_ID-1) * 2500))
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export LINE_NO_END=$((DATASET_ID * 2500))
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echo ${LINE_NO_START}
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python fetch_dataset_s2s.py
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-
done
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for i in $(seq 500 514);
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do
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export N_POOL=15
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export DATASET_ID=${i}
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export DIRECTION="enA-esA"
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export LINE_NO_START=$(((DATASET_ID-1) * 2500))
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export LINE_NO_END=$((DATASET_ID * 2500))
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echo ${LINE_NO_START}
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python fetch_dataset_s2s.py
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-
done
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-
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for i in $(seq 515 532);
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do
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export N_POOL=15
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export DATASET_ID=${i}
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@@ -134,7 +102,7 @@ do
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python fetch_dataset_s2s.py
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done
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# tokenize
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for i in $(seq
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do
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export N_POOL=15
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export DATASET_ID=${i}
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@@ -145,27 +113,17 @@ do
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python tokenize_dataset_s2s.py
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done
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# speaker embedding
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for i in $(seq 251 280);
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do
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export DATASET_ID=${i}
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export DIRECTION="enA-esA"
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python attach_speaker_embedding_s2s.py
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done
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-
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export SE_MODEL="w2vbert-600m" # running
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export SE_MODEL="xlsr-2b" # running
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export SE_MODEL="hubert-xl"
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export SE_MODEL="metavoice"
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-
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do
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export DATASET_ID=${i}
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export DIRECTION="enA-esA"
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python attach_speaker_embedding_s2s.py
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done
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-
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-
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-
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######################
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# enA-deA: 1_965_186 #
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######################
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@@ -187,7 +145,7 @@ do
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python fetch_dataset_s2s.py
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done
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# tokenize
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for i in $(seq
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do
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export N_POOL=15
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export DATASET_ID=${i}
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@@ -197,122 +155,12 @@ do
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echo ${LINE_NO_START}
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python tokenize_dataset_s2s.py
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done
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-
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# speaker embedding
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for i in $(seq 28 104);
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do
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export DATASET_ID=${i}
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export DIRECTION="deA-enA"
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python attach_speaker_embedding_s2s.py
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done
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# speaker embedding
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-
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-
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# running on kotoba_2
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#TODO1
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export SE_MODEL="xlsr-2b"
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for i in 1 2 4 5 6 10 41 50 55 340 377 379;
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do
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export DATASET_ID=${i}
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export DIRECTION="enA-frA"
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python attach_speaker_embedding_s2s.py
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done
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for i in $(seq 73 299);
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do
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export DATASET_ID=${i}
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export DIRECTION="enA-frA"
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python attach_speaker_embedding_s2s.py
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-
done
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for i in $(seq 381 600);
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do
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export DATASET_ID=${i}
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export DIRECTION="enA-frA"
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python attach_speaker_embedding_s2s.py
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-
done
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#TODO2
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export SE_MODEL="hubert-xl"
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for i in 318 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361;
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do
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export DATASET_ID=${i}
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export DIRECTION="enA-esA"
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python attach_speaker_embedding_s2s.py
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-
done
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#TODO3
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export SE_MODEL="w2vbert-600m"
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for i in $(seq 40 600);
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do
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export DATASET_ID=${i}
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export DIRECTION="enA-frA"
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| 246 |
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python attach_speaker_embedding_s2s.py
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-
done
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#TODO4
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export SE_MODEL="w2vbert-600m"
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for i in $(seq 467 470);
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do
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export DATASET_ID=${i}
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export DIRECTION="enA-esA"
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python attach_speaker_embedding_s2s.py
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-
done
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| 256 |
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export SE_MODEL="xlsr-2b"
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for i in $(seq 453 470);
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do
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export DATASET_ID=${i}
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export DIRECTION="enA-esA"
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python attach_speaker_embedding_s2s.py
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-
done
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export SE_MODEL="metavoice"
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for i in $(seq 453 459);
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do
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export DATASET_ID=${i}
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export DIRECTION="enA-esA"
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python attach_speaker_embedding_s2s.py
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done
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-
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-
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# running on kotoba_1
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#TODO1
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export SE_MODEL="hubert-xl"
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for i in $(seq 1 394);
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do
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export DATASET_ID=${i}
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export DIRECTION="deA-enA"
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python attach_speaker_embedding_s2s.py
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done
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#TODO2
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export SE_MODEL="hubert-xl"
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for i in $(seq 38 600);
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do
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export DATASET_ID=${i}
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export DIRECTION="enA-frA"
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python attach_speaker_embedding_s2s.py
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done
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#TODO3
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export SE_MODEL="metavoice"
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for i in $(seq 50 299);
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do
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export DATASET_ID=${i}
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export DIRECTION="enA-frA"
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python attach_speaker_embedding_s2s.py
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done
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for i in $(seq 331 398);
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do
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export DATASET_ID=${i}
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export DIRECTION="enA-frA"
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python attach_speaker_embedding_s2s.py
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done
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for i in $(seq 426 600);
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do
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export DATASET_ID=${i}
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export DIRECTION="enA-frA"
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python attach_speaker_embedding_s2s.py
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-
done
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#TODO4
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export SE_MODEL="xlsr-2b"
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export
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-
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python attach_speaker_embedding_s2s.py
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export SE_MODEL="hubert-xl"
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for i in 117 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284;
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do
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export DATASET_ID=${i}
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export DIRECTION="deA-enA"
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@@ -320,16 +168,6 @@ do
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done
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-
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-
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-
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-
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-
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-
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-
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-
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####################
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# enA-koA: 511_358 #
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####################
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@@ -363,9 +201,9 @@ do
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| 363 |
done
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# speaker embedding
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| 365 |
export SE_MODEL="metavoice"
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| 366 |
-
export SE_MODEL="w2vbert-600m"
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| 367 |
export SE_MODEL="hubert-xl"
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export SE_MODEL="xlsr-2b"
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for i in $(seq 1 100);
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do
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| 371 |
export DATASET_ID=${i}
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@@ -406,9 +244,9 @@ do
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done
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# speaker embedding
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| 408 |
export SE_MODEL="metavoice"
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-
export SE_MODEL="w2vbert-600m"
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| 410 |
export SE_MODEL="hubert-xl"
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| 411 |
export SE_MODEL="xlsr-2b"
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| 412 |
for i in $(seq 1 258);
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| 413 |
do
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| 414 |
export DATASET_ID=${i}
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@@ -445,9 +283,9 @@ do
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| 445 |
done
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| 446 |
# speaker embedding
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| 447 |
export SE_MODEL="metavoice"
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| 448 |
-
export SE_MODEL="w2vbert-600m"
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| 449 |
export SE_MODEL="hubert-xl"
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| 450 |
export SE_MODEL="xlsr-2b"
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for i in $(seq 1 144);
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do
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export DATASET_ID=${i}
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@@ -484,9 +322,9 @@ do
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| 484 |
done
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| 485 |
# speaker embedding
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| 486 |
export SE_MODEL="metavoice"
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| 487 |
-
export SE_MODEL="w2vbert-600m"
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| 488 |
export SE_MODEL="hubert-xl"
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| 489 |
export SE_MODEL="xlsr-2b"
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for i in $(seq 1 149);
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do
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export DATASET_ID=${i}
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@@ -523,9 +361,9 @@ do
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| 523 |
done
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| 524 |
# speaker embedding
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| 525 |
export SE_MODEL="metavoice"
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| 526 |
-
export SE_MODEL="w2vbert-600m"
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| 527 |
export SE_MODEL="hubert-xl"
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| 528 |
export SE_MODEL="xlsr-2b"
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for i in $(seq 1 91);
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do
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export DATASET_ID=${i}
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export SE_MODEL="xlsr-2b"
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for i in 517 518 519 520;
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do
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export DATASET_ID=${i}
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export DIRECTION="enA-esA"
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python attach_speaker_embedding_s2s.py
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done
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export SE_MODEL="xlsr-2b"
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+
for i in 507 508 515 516;
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do
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export DATASET_ID=${i}
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export DIRECTION="enA-esA"
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python attach_speaker_embedding_s2s.py
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done
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export SE_MODEL="xlsr-2b"
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for i in 505 506 507;
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do
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export DATASET_ID=${i}
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export DIRECTION="enA-esA"
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python attach_speaker_embedding_s2s.py
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done
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export SE_MODEL="xlsr-2b"
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for i in 500 502 504;
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do
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export DATASET_ID=${i}
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export DIRECTION="enA-esA"
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python attach_speaker_embedding_s2s.py
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| 28 |
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done
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+
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+
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export N_POOL=15
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export DATASET_ID=${i}
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export DIRECTION="enA-jaA"
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export LINE_NO_START=$(((DATASET_ID-1) * 2500))
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| 35 |
+
export LINE_NO_END=$((DATASET_ID * 2500))
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| 36 |
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echo ${LINE_NO_START}
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| 37 |
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python tokenize_dataset_s2s.py
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| 38 |
+
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+
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| 40 |
######################
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# enA-frA: 3_054_258 #
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######################
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export LINE_NO_END=10
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python fetch_dataset_s2s.py
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# main
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for i in $(seq 1 600);
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do
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export N_POOL=15
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export LINE_NO_END=10
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| 92 |
python fetch_dataset_s2s.py
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# main
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+
for i in $(seq 1 532);
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do
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export N_POOL=15
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export DATASET_ID=${i}
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python fetch_dataset_s2s.py
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done
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# tokenize
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+
for i in $(seq 1 532);
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do
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export N_POOL=15
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export DATASET_ID=${i}
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python tokenize_dataset_s2s.py
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done
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| 115 |
# speaker embedding
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export SE_MODEL="metavoice"
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+
export SE_MODEL="hubert-xl"
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+
export SE_MODEL="xlsr-2b"
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+
export SE_MODEL="w2vbert-600m"
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+
for i in $(seq 1 532);
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do
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export DATASET_ID=${i}
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export DIRECTION="enA-esA"
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python attach_speaker_embedding_s2s.py
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done
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| 127 |
######################
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| 128 |
# enA-deA: 1_965_186 #
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######################
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| 145 |
python fetch_dataset_s2s.py
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| 146 |
done
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| 147 |
# tokenize
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| 148 |
+
for i in $(seq 1 394);
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do
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export N_POOL=15
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| 151 |
export DATASET_ID=${i}
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| 155 |
echo ${LINE_NO_START}
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| 156 |
python tokenize_dataset_s2s.py
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| 157 |
done
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| 158 |
# speaker embedding
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| 159 |
export SE_MODEL="metavoice"
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| 160 |
export SE_MODEL="hubert-xl"
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| 161 |
export SE_MODEL="xlsr-2b"
|
| 162 |
+
export SE_MODEL="w2vbert-600m"
|
| 163 |
+
for i in $(seq 1 394);
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|
| 164 |
do
|
| 165 |
export DATASET_ID=${i}
|
| 166 |
export DIRECTION="deA-enA"
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|
| 168 |
done
|
| 169 |
|
| 170 |
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| 171 |
####################
|
| 172 |
# enA-koA: 511_358 #
|
| 173 |
####################
|
|
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|
| 201 |
done
|
| 202 |
# speaker embedding
|
| 203 |
export SE_MODEL="metavoice"
|
|
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|
| 204 |
export SE_MODEL="hubert-xl"
|
| 205 |
export SE_MODEL="xlsr-2b"
|
| 206 |
+
export SE_MODEL="w2vbert-600m"
|
| 207 |
for i in $(seq 1 100);
|
| 208 |
do
|
| 209 |
export DATASET_ID=${i}
|
|
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|
| 244 |
done
|
| 245 |
# speaker embedding
|
| 246 |
export SE_MODEL="metavoice"
|
|
|
|
| 247 |
export SE_MODEL="hubert-xl"
|
| 248 |
export SE_MODEL="xlsr-2b"
|
| 249 |
+
export SE_MODEL="w2vbert-600m"
|
| 250 |
for i in $(seq 1 258);
|
| 251 |
do
|
| 252 |
export DATASET_ID=${i}
|
|
|
|
| 283 |
done
|
| 284 |
# speaker embedding
|
| 285 |
export SE_MODEL="metavoice"
|
|
|
|
| 286 |
export SE_MODEL="hubert-xl"
|
| 287 |
export SE_MODEL="xlsr-2b"
|
| 288 |
+
export SE_MODEL="w2vbert-600m"
|
| 289 |
for i in $(seq 1 144);
|
| 290 |
do
|
| 291 |
export DATASET_ID=${i}
|
|
|
|
| 322 |
done
|
| 323 |
# speaker embedding
|
| 324 |
export SE_MODEL="metavoice"
|
|
|
|
| 325 |
export SE_MODEL="hubert-xl"
|
| 326 |
export SE_MODEL="xlsr-2b"
|
| 327 |
+
export SE_MODEL="w2vbert-600m"
|
| 328 |
for i in $(seq 1 149);
|
| 329 |
do
|
| 330 |
export DATASET_ID=${i}
|
|
|
|
| 361 |
done
|
| 362 |
# speaker embedding
|
| 363 |
export SE_MODEL="metavoice"
|
|
|
|
| 364 |
export SE_MODEL="hubert-xl"
|
| 365 |
export SE_MODEL="xlsr-2b"
|
| 366 |
+
export SE_MODEL="w2vbert-600m"
|
| 367 |
for i in $(seq 1 91);
|
| 368 |
do
|
| 369 |
export DATASET_ID=${i}
|
tokenize_dataset_s2s.py
CHANGED
|
@@ -60,8 +60,7 @@ dataset = dataset.map(
|
|
| 60 |
num_proc=num_proc,
|
| 61 |
desc="tokenize dataset"
|
| 62 |
)
|
| 63 |
-
DatasetDict({"train": dataset}).push_to_hub(f"{hf_org}/{hf_dataset}.tokenized", config_name=f"subset_{dataset_id}")
|
| 64 |
-
# DatasetDict({"train": dataset}).push_to_hub(f"{hf_org}/{hf_dataset}.tokenized.encodec", config_name=f"subset_{dataset_id}")
|
| 65 |
cache_dir = f"{expanduser('~')}/.cache/huggingface/datasets/{hf_org}___{hf_dataset}/subset_{dataset_id}"
|
| 66 |
if os.path.exists(cache_dir):
|
| 67 |
shutil.rmtree(cache_dir)
|
|
|
|
| 60 |
num_proc=num_proc,
|
| 61 |
desc="tokenize dataset"
|
| 62 |
)
|
| 63 |
+
DatasetDict({"train": dataset}).push_to_hub(f"{hf_org}/{hf_dataset}.tokenized.encodec", config_name=f"subset_{dataset_id}")
|
|
|
|
| 64 |
cache_dir = f"{expanduser('~')}/.cache/huggingface/datasets/{hf_org}___{hf_dataset}/subset_{dataset_id}"
|
| 65 |
if os.path.exists(cache_dir):
|
| 66 |
shutil.rmtree(cache_dir)
|