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import json
import os
import shutil
from map_to_hear import LABEL_MAPPING
SAMPLE_RATE=32000
AUDIOS=f"audios_sr={SAMPLE_RATE}"
HEAR_PATH="/projects/0/prjs1338/tasks/starss2023-v1.0.0-full"
META="""{
"task_name": "starss2023",
"version": "hear2021",
"embedding_type": "event",
"prediction_type": "multilabel",
"split_mode": "trainvaltest",
"sample_duration": null,
"evaluation": [
"event_onset_200ms_fms",
"segment_1s_er"
],
"download_urls": [
{
"split": "train",
"name": "dev",
"url": "https://archive.org/download/dcase2016_task2_train_dev/dcase2016_task2_train_dev.zip",
"md5": "4e1b5e8887159193e8624dec801eb9e7"
},
{
"split": "train",
"name": "eval",
"url": "https://archive.org/download/dcase2016_task2_test_public/dcase2016_task2_test_public.zip",
"md5": "ac98768b39a08fc0c6c2ddd15a981dd7"
}
],
"default_mode": "full",
"max_task_duration_by_split": {
"train": null,
"valid": null,
"test": null
},
"tmp_dir": "_workdir",
"mode": "full",
"splits": [
"train",
"valid",
"test"
]
}"""
def map_labels_to_csv(label_mapping):
"""
Converts a label mapping dictionary to a list of (index, label) tuples
and prints them in 'idx,label' CSV format.
"""
sorted_keys = sorted(label_mapping.keys(), key=lambda x: int(x))
string = "idx,label\n"
for key in sorted_keys:
idx = int(key)
label = label_mapping[key]
string = string + f"{idx},{label}\n"
return string
def get_splits():
json_names = set()
for dirs in os.listdir("./labels"):
json_names.add(dirs + ".json")
return json_names
def move_files(json_names):
for json_name in json_names:
with open(json_name, "r") as f:
data = json.load(f)
split = json_name.replace(".json", "")
file_names = data.keys()
print(len(file_names))
for file_name in file_names:
if os.path.exists(os.path.join(AUDIOS, file_name)):
os.makedirs(os.path.join(HEAR_PATH, str(SAMPLE_RATE), split), exist_ok=True)
if not os.path.exists(os.path.join(HEAR_PATH, str(SAMPLE_RATE), split, file_name)):
destination = os.path.join(HEAR_PATH, str(SAMPLE_RATE), split, file_name)
shutil.copy(os.path.join(AUDIOS, file_name), destination)
if __name__ == "__main__":
json_names = get_splits()
move_files(json_names)
csv_file = map_labels_to_csv(LABEL_MAPPING)
with open(os.path.join(HEAR_PATH,"labelvocabulary.csv"), "w") as f:
f.write(csv_file)
meta = json.loads(META)
with open(os.path.join(HEAR_PATH, "task_metadata.json"), "w") as f:
json.dump(meta, f, indent=4)
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