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import json |
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import tqdm |
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import re |
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import os |
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from pydub import AudioSegment |
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ann_path = "/work/fast_data_yinghao/116_FreesoundLoopDataset/sft_data-116_FreesoundLoopDataset-genre-classification.jsonl" |
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with open(ann_path, "r") as file: |
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tmp1 = file.read() |
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tmp1 = [ eval(tmp) for tmp in tmp1.split("\n")[:-1]] |
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tmp1 = [i for i in tmp1 if i["output"] != "[]" and i["input"] != "[] \n"] |
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for data in tmp1: |
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data["output"] = ",".join(eval(data["output"])) |
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data["input"] = re.sub("\n","",data["input"]) |
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data["audioid"] = data["input"].split("<|SOA|>")[1].split("<|EOA|>")[0][25:] + ".wav" |
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data["split"] = [data["split"]] |
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ann_path = "/work/fast_data_yinghao/116_FreesoundLoopDataset/sft_data-116_FreesoundLoopDataset-key_detection.jsonl" |
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with open(ann_path, "r") as file: |
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tmp2 = file.read() |
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tmp2 = [ eval(tmp) for tmp in tmp2.split("\n")[:-1]] |
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for data in tmp2: |
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if data["output"] == "A": |
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data["output"] = data["input"].split("A:")[1].split("\n")[0][9:] |
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elif data["output"] == "B": |
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data["output"] = data["input"].split("B:")[1].split("\n")[0][9:] |
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data["output"] = re.sub("#","\u266f",data["output"]) |
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data["audioid"] = data["input"].split("<|SOA|>")[1].split("<|EOA|>")[0][25:] + ".wav.wav" |
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file_path = os.path.join(f"/work/fast_data_yinghao/116_FreesoundLoopDataset/audio/wav", data["audioid"]) |
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if not os.path.exists(file_path): |
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data["audioid"] = data["audioid"][:-8] + ".aiff.wav" |
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data["input"] = data["input"].split("option")[0].split("dio:")[1] |
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data["split"] = [data["split"]] |
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data_samples = tmp1 + tmp2 |
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new_data_samples = [] |
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train, valid, test = [], [], [] |
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for data in tqdm.tqdm(data_samples): |
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file_path = os.path.join(f"/work/fast_data_yinghao/116_FreesoundLoopDataset/audio/wav", data["audioid"]) |
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audio = AudioSegment.from_file(file_path) |
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if len(audio) < 5000: |
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continue |
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if data["split"][0] == "train": |
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train.append(data) |
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elif data["split"][0] == "dev": |
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valid.append(data) |
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else: |
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test.append(data) |
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for split in ["train", "valid", "test"]: |
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with open(f"FSLD_{split}.jsonl", 'w') as outfile: |
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for sample in eval(split): |
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json.dump(sample, outfile) |
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outfile.write('\n') |
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outfile.close() |
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