init
Browse files- filter_audio.py → filter_audio_s2t.py +2 -16
- main.sh +12 -12
filter_audio.py → filter_audio_s2t.py
RENAMED
@@ -23,8 +23,8 @@ line_no_end = int(os.getenv("LINE_NO_END", 100))
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def loader(feature: str) -> Dict:
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with open(feature) as
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return json.load(
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# feature dictionary
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@@ -53,17 +53,3 @@ for i in tqdm(index_list):
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except Exception as e:
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print(e)
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os.remove(audio_file)
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-
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#
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# print(f"features (filtered): {len(features)}")
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# dataset_to_push = DatasetDict({"train": audio_dataset})
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# repo_name = f"{hf_org}/{hf_dataset}"
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# while True:
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# try:
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# dataset_to_push.push_to_hub(repo_name, config_name=f"subset_{dataset_id}")
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# break
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# except Exception:
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# print(f"FAILED: push_to_hub on {repo_name} failed. wait 60 sec and retry soon...")
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# time.sleep(60)
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# json.dump(data_dict["line_no"], f)
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# f_writer.close()
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def loader(feature: str) -> Dict:
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with open(feature) as f_reader:
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return json.load(f_reader)
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# feature dictionary
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except Exception as e:
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print(e)
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os.remove(audio_file)
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main.sh
CHANGED
@@ -144,50 +144,50 @@ export LINE_NO_END=100
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export LINE_NO_START=0
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export LINE_NO_END=25000
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export DATASET_ID="1"
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python
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export LINE_NO_START=25000
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export LINE_NO_END=50000
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export DATASET_ID="2"
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python
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export LINE_NO_START=50000
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export LINE_NO_END=75000
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export DATASET_ID="3"
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python
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export LINE_NO_START=75000
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export LINE_NO_END=100000
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export DATASET_ID="4"
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python
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export LINE_NO_START=100000
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export LINE_NO_END=125000
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export DATASET_ID="5"
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python
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export LINE_NO_START=125000
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export LINE_NO_END=150000
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export DATASET_ID="6"
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python
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export LINE_NO_START=150000
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export LINE_NO_END=175000
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export DATASET_ID="7"
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python
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export LINE_NO_START=175000
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export LINE_NO_END=200000
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export DATASET_ID="8"
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python
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export LINE_NO_START=
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export LINE_NO_END=
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export DATASET_ID="
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python
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export LINE_NO_START=150000
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export LINE_NO_START=0
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export LINE_NO_END=25000
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export DATASET_ID="1"
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python filter_audio_s2t.py
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export LINE_NO_START=25000
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export LINE_NO_END=50000
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export DATASET_ID="2"
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python filter_audio_s2t.py
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export LINE_NO_START=50000
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export LINE_NO_END=75000
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export DATASET_ID="3"
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python filter_audio_s2t.py
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export LINE_NO_START=75000
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export LINE_NO_END=100000
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export DATASET_ID="4"
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python filter_audio_s2t.py
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export LINE_NO_START=100000
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export LINE_NO_END=125000
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export DATASET_ID="5"
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python filter_audio_s2t.py
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export LINE_NO_START=125000
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export LINE_NO_END=150000
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export DATASET_ID="6"
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python filter_audio_s2t.py
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export LINE_NO_START=150000
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export LINE_NO_END=175000
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export DATASET_ID="7"
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python filter_audio_s2t.py
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export LINE_NO_START=175000
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export LINE_NO_END=200000
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export DATASET_ID="8"
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python filter_audio_s2t.py
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export LINE_NO_START=200000
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export LINE_NO_END=225000
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export DATASET_ID="9"
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python filter_audio_s2t.py
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export LINE_NO_START=150000
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