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- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/3-music_captions/audioid2path-Jingju_Audio_Recordings_Collection.scp +0 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/3-music_captions/generate_sft.py +189 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/audioid2path-Arab_Andalusian_Dataset_with_prompt.scp +0 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/audioid2path-Carnatic_Music_Rhythm_Dataset.scp +0 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/audioid2path-Carnatic_Music_Rhythm_Dataset_with_prompt.scp +0 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/audioid2path-Carnatic_Varnam_Dataset.scp +195 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/audioid2path-Carnatic_Varnam_Dataset_with_prompt.scp +0 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/audioid2path-Hindustani_Music_Rhythm_Dataset_with_prompt.scp +0 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/audioid2path-Jingju_A_Cappella_Singing_Audio_Extended_Dataset_part3.scp +133 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/audioid2path-Jingju_A_Cappella_Singing_Audio_Extended_Dataset_part3_with_prompt.scp +266 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/audioid2path-Jingju_Audio_Recordings_Collection.scp +0 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/audioid2path-Jingju_Audio_Recordings_Collection_with_prompt.scp +0 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/audioid2path-Mridangam_Stroke_Dataset.scp +0 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/audioid2path-Mridangam_Tani-avarthanam_Dataset.scp +258 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/audioid2path-Saraga_Carnatic_and_Hindustani_collections.scp +0 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/audioid2path-Saraga_Carnatic_and_Hindustani_collections_with_prompt.scp +0 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/audioid2path-Tabla_Solo_Dataset.scp +38 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/generate_sft.py +1570 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/preprocess.sh +2 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/readme +11 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/sft_data-128_Compmusic-Arab_Andalusian_Dataset-text2music_generation.jsonl +0 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/sft_data-128_Compmusic-Arab_Andalusian_Dataset_with_prompt-text2music_generation.jsonl +0 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/sft_data-128_Compmusic-Carnatic_Music_Rhythm_Dataset_with_prompt-text2music_generation.jsonl +0 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/sft_data-128_Compmusic-Hindustani_Music_Rhythm_Dataset-text2music_generation.jsonl +0 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/sft_data-128_Compmusic-Jingju_A_Cappella_Singing_Audio_Extended_Dataset_part3_with_prompt-text2music_generation.jsonl +133 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/sft_data-128_Compmusic-Jingju_Audio_Recordings_Collection-text2music_generation.jsonl +0 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/sft_data-128_Compmusic-Jingju_Audio_Recordings_Collection_with_prompt-text2music_generation.jsonl +0 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/sft_data-128_Compmusic-Mridangam_Stroke_Dataset-text2music_generation.jsonl +0 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/sft_data-128_Compmusic-Mridangam_Tani-avarthanam_Dataset-text2music_generation.jsonl +0 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/sft_data-128_Compmusic-Saraga_Carnatic_and_Hindustani_collections-text2music_generation.jsonl +0 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/sft_data-128_Compmusic-Saraga_Carnatic_and_Hindustani_collections_with_prompt-text2music_generation.jsonl +0 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/sft_data-128_Compmusic-Tabla_Solo_Dataset-text2music_generation.jsonl +38 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/Arab-Andalusian_Music_Corpus_cut_prompt/audio/2c44caec-ea8c-474b-9dda-c55c660df969_41_prompt.mp3 +3 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/Arab-Andalusian_Music_Corpus_cut_prompt/audio/e4e3fc3c-8d57-4123-b14c-236110dde3c0_17_prompt.mp3 +3 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/Arab-Andalusian_Music_Corpus_cut_prompt/audio/e79c1615-7172-43a4-acdf-e9475c224edf_5_prompt.mp3 +3 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/Arab-Andalusian_Music_Corpus_cut_prompt/audio/eefa9d7d-6172-4c90-ba0c-ef9a41faa95d_47_prompt.mp3 +3 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/audioid2path-Jingju_Audio_Recordings_Collection.scp +0 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/download_and_cut_audio.py +635 -0
- 128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/readme +15 -0
- Harmonix/harmonixset/dataset/segments/0036_breakingthegirl.txt +12 -0
- Harmonix/harmonixset/dataset/segments/0075_dontcha.txt +8 -0
- Harmonix/harmonixset/dataset/segments/0159_letthemusicplay.txt +11 -0
- Harmonix/harmonixset/dataset/segments/0164_low.txt +8 -0
- Harmonix/harmonixset/dataset/segments/0182_mycurse.txt +17 -0
- Harmonix/harmonixset/dataset/segments/0262_stash.txt +18 -0
- Harmonix/harmonixset/dataset/segments/0347_bitch.txt +13 -0
- Harmonix/harmonixset/dataset/segments/0349_blow.txt +8 -0
- Harmonix/harmonixset/dataset/segments/0364_deuces.txt +9 -0
- Harmonix/harmonixset/dataset/segments/0404_holditagainstme.txt +9 -0
- Harmonix/harmonixset/dataset/segments/0419_itgirl.txt +12 -0
128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/3-music_captions/audioid2path-Jingju_Audio_Recordings_Collection.scp
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128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/3-music_captions/generate_sft.py
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import os
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import re
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import json
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import random
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import hashlib
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import argparse
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existed_uuid_list = set()
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INSTRUCTION = "Please select the most suitable captions for the given music."
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TASK_NAME = "music_captions"
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datasetname = "128_Compmusic"
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data_sample = {
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"instruction": INSTRUCTION,
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"input": "audio: <|SOA|>【1.input.mp3】<|EOA|> \n options: A:",
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"output": "A",
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"uuid": "",
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"split": None,
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"task_type": {"major": ["Subjective"], "minor": [TASK_NAME]},
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"domain": "music",
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"source": ["studio"],
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"other": {"tag": ""}
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}
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def assign_random_splits(file_path):
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with open(file_path, 'r') as file:
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lines = file.readlines()
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total_count = len(lines)
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train_count = int(total_count * 0.8)
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dev_count = int(total_count * 0.1)
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test_count = total_count - train_count - dev_count
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split_assignments = ['train'] * train_count + ['dev'] * dev_count + ['test'] * test_count
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random.shuffle(split_assignments)
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updated_lines = []
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for line, split_value in zip(lines, split_assignments):
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data_item = json.loads(line)
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data_item["split"] = [split_value]
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updated_lines.append(json.dumps(data_item, ensure_ascii=False))
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+
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with open(file_path, 'w') as file:
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file.write('\n'.join(updated_lines) + '\n')
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+
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+
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| 50 |
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def generate_uuid(pdata,datasetname):
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'''
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generat uuid for a certain piece of data sample
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'''
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uuid_string = f"{pdata['instruction']}#{pdata['input']}#{pdata['output']}"
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unique_id = hashlib.md5(uuid_string.encode()).hexdigest()[:16]
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+
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if unique_id in existed_uuid_list:
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sha1_hash = hashlib.sha1(uuid_string.encode()).hexdigest()[:16]
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+
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unique_id = hashlib.md5((unique_id + sha1_hash).encode()).hexdigest()[:16]
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+
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existed_uuid_list.add(unique_id)
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uuid = f"{datasetname}_{unique_id}"
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return uuid
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| 70 |
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def collect_unique_values(download_metadata_path):
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| 72 |
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unique_values = set()
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json_dir = os.path.join(download_metadata_path, 'Jingju_Audio_Recordings_Collection_metadata')
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| 75 |
+
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| 76 |
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for file_name in os.listdir(json_dir):
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if file_name.endswith('.json'):
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file_path = os.path.join(json_dir, file_name)
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| 79 |
+
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| 80 |
+
with open(file_path, 'r') as json_file:
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| 81 |
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data_dict = json.load(json_file)
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| 82 |
+
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| 83 |
+
for value_list in data_dict.values():
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| 84 |
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unique_values.update(value_list)
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| 85 |
+
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| 86 |
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unique_values_list = list(unique_values)
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| 87 |
+
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| 88 |
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chinese_values = []
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| 89 |
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english_values = []
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| 90 |
+
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| 91 |
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for value in unique_values_list:
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| 92 |
+
if re.search(r'[\u4e00-\u9fff]', value):
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| 93 |
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chinese_values.append(value)
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| 94 |
+
else:
|
| 95 |
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english_values.append(value)
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| 96 |
+
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| 97 |
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return chinese_values, english_values
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| 98 |
+
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| 99 |
+
def generate_Jingju_Audio_Recordings_Collection_sft_data(SAVE_PATH, DOWNLOAD_METADATA_PATH, values):
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| 100 |
+
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| 101 |
+
if any('\u4e00' <= char <= '\u9fff' for char in values):
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datatype = 'chinese_version'
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| 103 |
+
else:
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| 104 |
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datatype = 'english_version'
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+
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| 106 |
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output_file_path = SAVE_PATH + '/sft_data-128_Compmusic-Jingju_Audio_Recordings_Collection_'+ datatype +'-music_captions.jsonl'
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| 107 |
+
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| 108 |
+
with open(output_file_path, 'w') as output_file:
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| 109 |
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json_dir = os.path.join(DOWNLOAD_METADATA_PATH, 'Jingju_Audio_Recordings_Collection_metadata')
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| 110 |
+
for folder_name in os.listdir(json_dir):
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| 111 |
+
if folder_name.endswith('.json'):
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| 112 |
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json_file_path = os.path.join(json_dir, folder_name)
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| 113 |
+
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| 114 |
+
with open(json_file_path, 'r') as json_file:
|
| 115 |
+
data_dict = json.load(json_file)
|
| 116 |
+
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| 117 |
+
for file_name, tag_list in data_dict.items():
|
| 118 |
+
if tag_list:
|
| 119 |
+
folder_path = os.path.join(DOWNLOAD_METADATA_PATH, 'Jingju_Audio_Recordings_Collection_cut', folder_name.replace('.json', ''))
|
| 120 |
+
|
| 121 |
+
if os.path.exists(folder_path):
|
| 122 |
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for flac_file in os.listdir(folder_path):
|
| 123 |
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if file_name in flac_file and flac_file.endswith('.flac'):
|
| 124 |
+
file_name_part = flac_file
|
| 125 |
+
|
| 126 |
+
for correct_tag in tag_list:
|
| 127 |
+
|
| 128 |
+
if correct_tag in values:
|
| 129 |
+
choices = random.sample([tag for tag in values if tag not in tag_list], 3)
|
| 130 |
+
|
| 131 |
+
choices.append(correct_tag)
|
| 132 |
+
random.shuffle(choices)
|
| 133 |
+
|
| 134 |
+
correct_choice = 'ABCD'[choices.index(correct_tag)]
|
| 135 |
+
if datatype == 'english_version':
|
| 136 |
+
choiselist = [' and '.join(tags.split()) for tags in choices]
|
| 137 |
+
else:
|
| 138 |
+
choiselist = [tags.replace("【", "").replace("】", "") for tags in choices]
|
| 139 |
+
data_item = data_sample.copy()
|
| 140 |
+
data_item["input"] = (
|
| 141 |
+
f'audio: <|SOA|>{datasetname}_{file_name_part[:-5]}<|EOA|> \n options: '
|
| 142 |
+
f'A: This is a recording of a Jingju aria, featuring the Shengqiang and Banshi pattern of {choiselist[0]}. \n '
|
| 143 |
+
f'B: This is a recording of a Jingju aria, featuring the Shengqiang and Banshi pattern of {choiselist[1]}. \n '
|
| 144 |
+
f'C: This is a recording of a Jingju aria, featuring the Shengqiang and Banshi pattern of {choiselist[2]}. \n '
|
| 145 |
+
f'D: This is a recording of a Jingju aria, featuring the Shengqiang and Banshi pattern of {choiselist[3]}. \n '
|
| 146 |
+
)
|
| 147 |
+
data_item["output"] = f"{correct_choice}"
|
| 148 |
+
data_uuid = generate_uuid(data_item, datasetname)
|
| 149 |
+
data_item['uuid'] = data_uuid
|
| 150 |
+
|
| 151 |
+
output_file.write(json.dumps(data_item, ensure_ascii=False) + '\n')
|
| 152 |
+
print(f'Processed file: {folder_name}')
|
| 153 |
+
|
| 154 |
+
assign_random_splits(output_file_path)
|
| 155 |
+
|
| 156 |
+
def generate_Jingju_Audio_Recordings_Collection_scp(DOWNLOAD_METADATA_PATH, SAVE_PATH, TRAIN_PATH):
|
| 157 |
+
|
| 158 |
+
scp_file_path = os.path.join(SAVE_PATH, 'audioid2path-Jingju_Audio_Recordings_Collection.scp')
|
| 159 |
+
|
| 160 |
+
base_dir = os.path.join(DOWNLOAD_METADATA_PATH, 'Jingju_Audio_Recordings_Collection_cut')
|
| 161 |
+
|
| 162 |
+
scp_data = []
|
| 163 |
+
|
| 164 |
+
for root, _, files in os.walk(base_dir):
|
| 165 |
+
for file_name in files:
|
| 166 |
+
if file_name.endswith('.flac'):
|
| 167 |
+
full_path = os.path.join(root, file_name)
|
| 168 |
+
relative_path = full_path.split('Jingju_Audio_Recordings_Collection_cut/')[-1]
|
| 169 |
+
|
| 170 |
+
element1 = f"{datasetname}_{file_name[:-5]}"
|
| 171 |
+
element2 = f"{TRAIN_PATH}{datasetname}/Jingju_Audio_Recordings_Collection_cut/{relative_path}"
|
| 172 |
+
scp_data.append(f"{element1} {element2}")
|
| 173 |
+
|
| 174 |
+
with open(scp_file_path, 'w', encoding='utf-8') as scp_file:
|
| 175 |
+
for line in scp_data:
|
| 176 |
+
scp_file.write(line + '\n')
|
| 177 |
+
|
| 178 |
+
|
| 179 |
+
if __name__ == "__main__":
|
| 180 |
+
|
| 181 |
+
SAVE_PATH = '/data/ziyaz/audio_flan/Audio-Flan-Engine/datasets/music/128_Compmusic/3-music_captions'
|
| 182 |
+
TRAIN_PATH = "/scratch/buildlam/rawdata/codeclm/music/"
|
| 183 |
+
DOWNLOAD_METADATA_PATH = '/data/ziyaz/audio_flan/Audio-Flan-Engine/datasets/music/128_Compmusic/'
|
| 184 |
+
|
| 185 |
+
chinese_values, english_values = collect_unique_values(DOWNLOAD_METADATA_PATH)
|
| 186 |
+
generate_Jingju_Audio_Recordings_Collection_sft_data(SAVE_PATH, DOWNLOAD_METADATA_PATH, chinese_values)
|
| 187 |
+
generate_Jingju_Audio_Recordings_Collection_sft_data(SAVE_PATH, DOWNLOAD_METADATA_PATH, english_values)
|
| 188 |
+
|
| 189 |
+
generate_Jingju_Audio_Recordings_Collection_scp(DOWNLOAD_METADATA_PATH, SAVE_PATH, TRAIN_PATH)
|
128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/audioid2path-Arab_Andalusian_Dataset_with_prompt.scp
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/audioid2path-Carnatic_Music_Rhythm_Dataset.scp
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/audioid2path-Carnatic_Music_Rhythm_Dataset_with_prompt.scp
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/audioid2path-Carnatic_Varnam_Dataset.scp
ADDED
|
@@ -0,0 +1,195 @@
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|
|
| 1 |
+
128_Compmusic_223604__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-sri-raaga_1 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223604__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-sri-raaga_1.mp3
|
| 2 |
+
128_Compmusic_223604__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-sri-raaga_2 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223604__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-sri-raaga_2.mp3
|
| 3 |
+
128_Compmusic_223601__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-saveri-raaga_1 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223601__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-saveri-raaga_1.mp3
|
| 4 |
+
128_Compmusic_223604__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-sri-raaga_3 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223604__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-sri-raaga_3.mp3
|
| 5 |
+
128_Compmusic_223601__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-saveri-raaga_2 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223601__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-saveri-raaga_2.mp3
|
| 6 |
+
128_Compmusic_223604__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-sri-raaga_4 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223604__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-sri-raaga_4.mp3
|
| 7 |
+
128_Compmusic_223601__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-saveri-raaga_3 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223601__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-saveri-raaga_3.mp3
|
| 8 |
+
128_Compmusic_223604__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-sri-raaga_5 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223604__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-sri-raaga_5.mp3
|
| 9 |
+
128_Compmusic_223601__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-saveri-raaga_4 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223601__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-saveri-raaga_4.mp3
|
| 10 |
+
128_Compmusic_223602__gopalkoduri__carnatic-varnam-by-sreevidya-in-saveri-raaga_1 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223602__gopalkoduri__carnatic-varnam-by-sreevidya-in-saveri-raaga_1.mp3
|
| 11 |
+
128_Compmusic_223604__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-sri-raaga_6 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223604__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-sri-raaga_6.mp3
|
| 12 |
+
128_Compmusic_223600__gopalkoduri__carnatic-varnam-by-prasanna-in-saveri-raaga_1 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223600__gopalkoduri__carnatic-varnam-by-prasanna-in-saveri-raaga_1.mp3
|
| 13 |
+
128_Compmusic_223601__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-saveri-raaga_5 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223601__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-saveri-raaga_5.mp3
|
| 14 |
+
128_Compmusic_223602__gopalkoduri__carnatic-varnam-by-sreevidya-in-saveri-raaga_2 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223602__gopalkoduri__carnatic-varnam-by-sreevidya-in-saveri-raaga_2.mp3
|
| 15 |
+
128_Compmusic_223604__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-sri-raaga_7 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223604__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-sri-raaga_7.mp3
|
| 16 |
+
128_Compmusic_223600__gopalkoduri__carnatic-varnam-by-prasanna-in-saveri-raaga_2 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223600__gopalkoduri__carnatic-varnam-by-prasanna-in-saveri-raaga_2.mp3
|
| 17 |
+
128_Compmusic_223601__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-saveri-raaga_6 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223601__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-saveri-raaga_6.mp3
|
| 18 |
+
128_Compmusic_223602__gopalkoduri__carnatic-varnam-by-sreevidya-in-saveri-raaga_3 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223602__gopalkoduri__carnatic-varnam-by-sreevidya-in-saveri-raaga_3.mp3
|
| 19 |
+
128_Compmusic_223604__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-sri-raaga_8 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223604__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-sri-raaga_8.mp3
|
| 20 |
+
128_Compmusic_223600__gopalkoduri__carnatic-varnam-by-prasanna-in-saveri-raaga_3 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223600__gopalkoduri__carnatic-varnam-by-prasanna-in-saveri-raaga_3.mp3
|
| 21 |
+
128_Compmusic_223601__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-saveri-raaga_7 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223601__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-saveri-raaga_7.mp3
|
| 22 |
+
128_Compmusic_223605__gopalkoduri__carnatic-varnam-by-vignesh-in-sri-raaga_1 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223605__gopalkoduri__carnatic-varnam-by-vignesh-in-sri-raaga_1.mp3
|
| 23 |
+
128_Compmusic_223602__gopalkoduri__carnatic-varnam-by-sreevidya-in-saveri-raaga_4 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223602__gopalkoduri__carnatic-varnam-by-sreevidya-in-saveri-raaga_4.mp3
|
| 24 |
+
128_Compmusic_223603__gopalkoduri__carnatic-varnam-by-badrinarayanan-in-sri-raaga_1 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223603__gopalkoduri__carnatic-varnam-by-badrinarayanan-in-sri-raaga_1.mp3
|
| 25 |
+
128_Compmusic_223600__gopalkoduri__carnatic-varnam-by-prasanna-in-saveri-raaga_4 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223600__gopalkoduri__carnatic-varnam-by-prasanna-in-saveri-raaga_4.mp3
|
| 26 |
+
128_Compmusic_223601__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-saveri-raaga_8 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223601__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-saveri-raaga_8.mp3
|
| 27 |
+
128_Compmusic_223603__gopalkoduri__carnatic-varnam-by-badrinarayanan-in-sri-raaga_2 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223603__gopalkoduri__carnatic-varnam-by-badrinarayanan-in-sri-raaga_2.mp3
|
| 28 |
+
128_Compmusic_223602__gopalkoduri__carnatic-varnam-by-sreevidya-in-saveri-raaga_5 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223602__gopalkoduri__carnatic-varnam-by-sreevidya-in-saveri-raaga_5.mp3
|
| 29 |
+
128_Compmusic_223605__gopalkoduri__carnatic-varnam-by-vignesh-in-sri-raaga_2 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223605__gopalkoduri__carnatic-varnam-by-vignesh-in-sri-raaga_2.mp3
|
| 30 |
+
128_Compmusic_223599__gopalkoduri__carnatic-varnam-by-dharini-in-saveri-raaga_1 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223599__gopalkoduri__carnatic-varnam-by-dharini-in-saveri-raaga_1.mp3
|
| 31 |
+
128_Compmusic_223600__gopalkoduri__carnatic-varnam-by-prasanna-in-saveri-raaga_5 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223600__gopalkoduri__carnatic-varnam-by-prasanna-in-saveri-raaga_5.mp3
|
| 32 |
+
128_Compmusic_223599__gopalkoduri__carnatic-varnam-by-dharini-in-saveri-raaga_2 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223599__gopalkoduri__carnatic-varnam-by-dharini-in-saveri-raaga_2.mp3
|
| 33 |
+
128_Compmusic_223602__gopalkoduri__carnatic-varnam-by-sreevidya-in-saveri-raaga_6 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223602__gopalkoduri__carnatic-varnam-by-sreevidya-in-saveri-raaga_6.mp3
|
| 34 |
+
128_Compmusic_223603__gopalkoduri__carnatic-varnam-by-badrinarayanan-in-sri-raaga_3 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223603__gopalkoduri__carnatic-varnam-by-badrinarayanan-in-sri-raaga_3.mp3
|
| 35 |
+
128_Compmusic_223605__gopalkoduri__carnatic-varnam-by-vignesh-in-sri-raaga_3 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223605__gopalkoduri__carnatic-varnam-by-vignesh-in-sri-raaga_3.mp3
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128_Compmusic_223583__gopalkoduri__carnatic-varnam-by-prasanna-in-begada-raaga_2 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223583__gopalkoduri__carnatic-varnam-by-prasanna-in-begada-raaga_2.mp3
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| 153 |
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128_Compmusic_223581__gopalkoduri__carnatic-varnam-by-sreevidya-in-abhogi-raaga_2 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223581__gopalkoduri__carnatic-varnam-by-sreevidya-in-abhogi-raaga_2.mp3
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| 154 |
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128_Compmusic_223585__gopalkoduri__carnatic-varnam-by-vignesh-in-begada-raaga_4 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223585__gopalkoduri__carnatic-varnam-by-vignesh-in-begada-raaga_4.mp3
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128_Compmusic_223580__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-abhogi-raaga_2 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223580__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-abhogi-raaga_2.mp3
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128_Compmusic_223584__gopalkoduri__carnatic-varnam-by-sreevidya-in-begada-raaga_4 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223584__gopalkoduri__carnatic-varnam-by-sreevidya-in-begada-raaga_4.mp3
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128_Compmusic_223582__gopalkoduri__carnatic-varnam-by-vignesh-in-abhogi-raaga_3 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223582__gopalkoduri__carnatic-varnam-by-vignesh-in-abhogi-raaga_3.mp3
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128_Compmusic_223581__gopalkoduri__carnatic-varnam-by-sreevidya-in-abhogi-raaga_3 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223581__gopalkoduri__carnatic-varnam-by-sreevidya-in-abhogi-raaga_3.mp3
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128_Compmusic_223583__gopalkoduri__carnatic-varnam-by-prasanna-in-begada-raaga_3 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223583__gopalkoduri__carnatic-varnam-by-prasanna-in-begada-raaga_3.mp3
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| 160 |
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128_Compmusic_223585__gopalkoduri__carnatic-varnam-by-vignesh-in-begada-raaga_5 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223585__gopalkoduri__carnatic-varnam-by-vignesh-in-begada-raaga_5.mp3
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128_Compmusic_223580__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-abhogi-raaga_3 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223580__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-abhogi-raaga_3.mp3
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| 162 |
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128_Compmusic_223584__gopalkoduri__carnatic-varnam-by-sreevidya-in-begada-raaga_5 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223584__gopalkoduri__carnatic-varnam-by-sreevidya-in-begada-raaga_5.mp3
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128_Compmusic_223582__gopalkoduri__carnatic-varnam-by-vignesh-in-abhogi-raaga_4 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223582__gopalkoduri__carnatic-varnam-by-vignesh-in-abhogi-raaga_4.mp3
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| 164 |
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128_Compmusic_223581__gopalkoduri__carnatic-varnam-by-sreevidya-in-abhogi-raaga_4 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223581__gopalkoduri__carnatic-varnam-by-sreevidya-in-abhogi-raaga_4.mp3
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| 165 |
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128_Compmusic_223583__gopalkoduri__carnatic-varnam-by-prasanna-in-begada-raaga_4 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223583__gopalkoduri__carnatic-varnam-by-prasanna-in-begada-raaga_4.mp3
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| 166 |
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128_Compmusic_223585__gopalkoduri__carnatic-varnam-by-vignesh-in-begada-raaga_6 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223585__gopalkoduri__carnatic-varnam-by-vignesh-in-begada-raaga_6.mp3
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| 167 |
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128_Compmusic_223580__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-abhogi-raaga_4 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223580__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-abhogi-raaga_4.mp3
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| 168 |
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128_Compmusic_223584__gopalkoduri__carnatic-varnam-by-sreevidya-in-begada-raaga_6 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223584__gopalkoduri__carnatic-varnam-by-sreevidya-in-begada-raaga_6.mp3
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| 169 |
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128_Compmusic_223582__gopalkoduri__carnatic-varnam-by-vignesh-in-abhogi-raaga_5 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223582__gopalkoduri__carnatic-varnam-by-vignesh-in-abhogi-raaga_5.mp3
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| 170 |
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128_Compmusic_223583__gopalkoduri__carnatic-varnam-by-prasanna-in-begada-raaga_5 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223583__gopalkoduri__carnatic-varnam-by-prasanna-in-begada-raaga_5.mp3
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| 171 |
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128_Compmusic_223581__gopalkoduri__carnatic-varnam-by-sreevidya-in-abhogi-raaga_5 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223581__gopalkoduri__carnatic-varnam-by-sreevidya-in-abhogi-raaga_5.mp3
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128_Compmusic_223585__gopalkoduri__carnatic-varnam-by-vignesh-in-begada-raaga_7 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223585__gopalkoduri__carnatic-varnam-by-vignesh-in-begada-raaga_7.mp3
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128_Compmusic_223580__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-abhogi-raaga_5 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223580__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-abhogi-raaga_5.mp3
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128_Compmusic_223582__gopalkoduri__carnatic-varnam-by-vignesh-in-abhogi-raaga_6 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223582__gopalkoduri__carnatic-varnam-by-vignesh-in-abhogi-raaga_6.mp3
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128_Compmusic_223584__gopalkoduri__carnatic-varnam-by-sreevidya-in-begada-raaga_7 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223584__gopalkoduri__carnatic-varnam-by-sreevidya-in-begada-raaga_7.mp3
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| 176 |
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128_Compmusic_223585__gopalkoduri__carnatic-varnam-by-vignesh-in-begada-raaga_8 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223585__gopalkoduri__carnatic-varnam-by-vignesh-in-begada-raaga_8.mp3
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128_Compmusic_223583__gopalkoduri__carnatic-varnam-by-prasanna-in-begada-raaga_6 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223583__gopalkoduri__carnatic-varnam-by-prasanna-in-begada-raaga_6.mp3
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128_Compmusic_223580__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-abhogi-raaga_6 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223580__gopalkoduri__carnatic-varnam-by-ramakrishnamurthy-in-abhogi-raaga_6.mp3
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128_Compmusic_223578__gopalkoduri__carnatic-varnam-by-dharini-in-abhogi-raaga_1 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223578__gopalkoduri__carnatic-varnam-by-dharini-in-abhogi-raaga_1.mp3
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128_Compmusic_223579__gopalkoduri__carnatic-varnam-by-prasanna-in-abhogi-raaga_1 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223579__gopalkoduri__carnatic-varnam-by-prasanna-in-abhogi-raaga_1.mp3
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128_Compmusic_223585__gopalkoduri__carnatic-varnam-by-vignesh-in-begada-raaga_9 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223585__gopalkoduri__carnatic-varnam-by-vignesh-in-begada-raaga_9.mp3
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| 182 |
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128_Compmusic_223578__gopalkoduri__carnatic-varnam-by-dharini-in-abhogi-raaga_2 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223578__gopalkoduri__carnatic-varnam-by-dharini-in-abhogi-raaga_2.mp3
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128_Compmusic_223579__gopalkoduri__carnatic-varnam-by-prasanna-in-abhogi-raaga_2 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223579__gopalkoduri__carnatic-varnam-by-prasanna-in-abhogi-raaga_2.mp3
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128_Compmusic_223585__gopalkoduri__carnatic-varnam-by-vignesh-in-begada-raaga_10 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223585__gopalkoduri__carnatic-varnam-by-vignesh-in-begada-raaga_10.mp3
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128_Compmusic_223578__gopalkoduri__carnatic-varnam-by-dharini-in-abhogi-raaga_4 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223578__gopalkoduri__carnatic-varnam-by-dharini-in-abhogi-raaga_4.mp3
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| 188 |
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128_Compmusic_223583__gopalkoduri__carnatic-varnam-by-prasanna-in-begada-raaga_8 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223583__gopalkoduri__carnatic-varnam-by-prasanna-in-begada-raaga_8.mp3
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| 189 |
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128_Compmusic_223579__gopalkoduri__carnatic-varnam-by-prasanna-in-abhogi-raaga_3 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223579__gopalkoduri__carnatic-varnam-by-prasanna-in-abhogi-raaga_3.mp3
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| 190 |
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128_Compmusic_223578__gopalkoduri__carnatic-varnam-by-dharini-in-abhogi-raaga_5 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223578__gopalkoduri__carnatic-varnam-by-dharini-in-abhogi-raaga_5.mp3
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| 191 |
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128_Compmusic_223585__gopalkoduri__carnatic-varnam-by-vignesh-in-begada-raaga_11 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223585__gopalkoduri__carnatic-varnam-by-vignesh-in-begada-raaga_11.mp3
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| 192 |
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128_Compmusic_223578__gopalkoduri__carnatic-varnam-by-dharini-in-abhogi-raaga_6 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223578__gopalkoduri__carnatic-varnam-by-dharini-in-abhogi-raaga_6.mp3
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| 193 |
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128_Compmusic_223579__gopalkoduri__carnatic-varnam-by-prasanna-in-abhogi-raaga_4 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223579__gopalkoduri__carnatic-varnam-by-prasanna-in-abhogi-raaga_4.mp3
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| 194 |
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128_Compmusic_223579__gopalkoduri__carnatic-varnam-by-prasanna-in-abhogi-raaga_5 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223579__gopalkoduri__carnatic-varnam-by-prasanna-in-abhogi-raaga_5.mp3
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| 195 |
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128_Compmusic_223579__gopalkoduri__carnatic-varnam-by-prasanna-in-abhogi-raaga_6 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/223579__gopalkoduri__carnatic-varnam-by-prasanna-in-abhogi-raaga_6.mp3
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128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/audioid2path-Carnatic_Varnam_Dataset_with_prompt.scp
ADDED
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128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/audioid2path-Hindustani_Music_Rhythm_Dataset_with_prompt.scp
ADDED
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128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/audioid2path-Jingju_A_Cappella_Singing_Audio_Extended_Dataset_part3.scp
ADDED
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128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_student_04_1 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171214SongRuoXuan/daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo/student_04_1.wav
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128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_student_05_1 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171214SongRuoXuan/daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo/student_05_1.wav
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128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_student_01_1 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171214SongRuoXuan/daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo/student_01_1.wav
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128_Compmusic_20171217TianHao_lsxp-Ti_lan_xiao_mai-Hong_deng_ji-sizhu_mentougou_student_02_mentougou_1 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171217TianHao/lsxp-Ti_lan_xiao_mai-Hong_deng_ji-sizhu_mentougou/student_02_mentougou_1.wav
|
| 110 |
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128_Compmusic_20171217TianHao_lsxp-Ti_lan_xiao_mai-Hong_deng_ji-sizhu_mentougou_student_01_sizhu_1 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171217TianHao/lsxp-Ti_lan_xiao_mai-Hong_deng_ji-sizhu_mentougou/student_01_sizhu_1.wav
|
| 111 |
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128_Compmusic_20171217TianHao_lsxp-Wei_guo_jia-Hong_yang_dong-sizhu_student_04_1 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171217TianHao/lsxp-Wei_guo_jia-Hong_yang_dong-sizhu/student_04_1.wav
|
| 112 |
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128_Compmusic_20171217TianHao_lsxp-Wei_guo_jia-Hong_yang_dong-sizhu_student_01_1 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171217TianHao/lsxp-Wei_guo_jia-Hong_yang_dong-sizhu/student_01_1.wav
|
| 113 |
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128_Compmusic_20171217TianHao_lsxp-Wei_guo_jia-Hong_yang_dong-sizhu_student_05_1 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171217TianHao/lsxp-Wei_guo_jia-Hong_yang_dong-sizhu/student_05_1.wav
|
| 114 |
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128_Compmusic_20171217TianHao_lsxp-Wei_guo_jia-Hong_yang_dong-sizhu_student_02_1 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171217TianHao/lsxp-Wei_guo_jia-Hong_yang_dong-sizhu/student_02_1.wav
|
| 115 |
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128_Compmusic_20171217TianHao_lsxp-Wei_guo_jia-Hong_yang_dong-sizhu_student_04_2 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171217TianHao/lsxp-Wei_guo_jia-Hong_yang_dong-sizhu/student_04_2.wav
|
| 116 |
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128_Compmusic_20171217TianHao_lsxp-Wei_guo_jia-Hong_yang_dong-sizhu_student_03_1 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171217TianHao/lsxp-Wei_guo_jia-Hong_yang_dong-sizhu/student_03_1.wav
|
| 117 |
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128_Compmusic_20171217TianHao_lsxp-Wei_guo_jia-Hong_yang_dong-sizhu_student_05_2 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171217TianHao/lsxp-Wei_guo_jia-Hong_yang_dong-sizhu/student_05_2.wav
|
| 118 |
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128_Compmusic_20171217TianHao_lsxp-Wei_guo_jia-Hong_yang_dong-sizhu_student_01_2 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171217TianHao/lsxp-Wei_guo_jia-Hong_yang_dong-sizhu/student_01_2.wav
|
| 119 |
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128_Compmusic_20171217TianHao_lsxp-Wei_guo_jia-Hong_yang_dong-sizhu_teacher_1 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171217TianHao/lsxp-Wei_guo_jia-Hong_yang_dong-sizhu/teacher_1.wav
|
| 120 |
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128_Compmusic_20171217TianHao_lsxp-Wei_guo_jia-Hong_yang_dong-sizhu_student_02_2 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171217TianHao/lsxp-Wei_guo_jia-Hong_yang_dong-sizhu/student_02_2.wav
|
| 121 |
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128_Compmusic_20171217TianHao_lsxp-Wei_guo_jia-Hong_yang_dong-sizhu_student_03_2 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171217TianHao/lsxp-Wei_guo_jia-Hong_yang_dong-sizhu/student_03_2.wav
|
| 122 |
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128_Compmusic_20171217TianHao_lsxp-Wei_guo_jia-Hong_yang_dong-sizhu_teacher_2 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171217TianHao/lsxp-Wei_guo_jia-Hong_yang_dong-sizhu/teacher_2.wav
|
| 123 |
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128_Compmusic_20171217TianHao_lsxp-Lin_xing_he_ma-Hong_deng_ji-sizhu_student_01_1 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171217TianHao/lsxp-Lin_xing_he_ma-Hong_deng_ji-sizhu/student_01_1.wav
|
| 124 |
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128_Compmusic_20171217TianHao_lsxp-Lin_xing_he_ma-Hong_deng_ji-sizhu_student_02_1 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171217TianHao/lsxp-Lin_xing_he_ma-Hong_deng_ji-sizhu/student_02_1.wav
|
| 125 |
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128_Compmusic_20171217TianHao_lsxp-Lin_xing_he_ma-Hong_deng_ji-sizhu_teacher_1 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171217TianHao/lsxp-Lin_xing_he_ma-Hong_deng_ji-sizhu/teacher_1.wav
|
| 126 |
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128_Compmusic_20171217TianHao_lsxp-Jiang_shen_er-San_jia_dian-sizhu_student_01_1 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171217TianHao/lsxp-Jiang_shen_er-San_jia_dian-sizhu/student_01_1.wav
|
| 127 |
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128_Compmusic_20171217TianHao_lsxp-Jiang_shen_er-San_jia_dian-sizhu_student_04_mentougou_1 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171217TianHao/lsxp-Jiang_shen_er-San_jia_dian-sizhu/student_04_mentougou_1.wav
|
| 128 |
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128_Compmusic_20171217TianHao_lsxp-Jiang_shen_er-San_jia_dian-sizhu_teacher_1 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171217TianHao/lsxp-Jiang_shen_er-San_jia_dian-sizhu/teacher_1.wav
|
| 129 |
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128_Compmusic_20171217TianHao_lsxp-Jiang_shen_er-San_jia_dian-sizhu_student_02_1 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171217TianHao/lsxp-Jiang_shen_er-San_jia_dian-sizhu/student_02_1.wav
|
| 130 |
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128_Compmusic_20171217TianHao_lsxp-Jiang_shen_er-San_jia_dian-sizhu_student_03_2_1 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171217TianHao/lsxp-Jiang_shen_er-San_jia_dian-sizhu/student_03_2_1.wav
|
| 131 |
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128_Compmusic_20171217TianHao_lsxp-Jiang_shen_er-San_jia_dian-sizhu_student_03_1_1 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171217TianHao/lsxp-Jiang_shen_er-San_jia_dian-sizhu/student_03_1_1.wav
|
| 132 |
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128_Compmusic_20171217TianHao_lsxp-Jiang_shen_er-San_jia_dian-sizhu_teacher_2 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171217TianHao/lsxp-Jiang_shen_er-San_jia_dian-sizhu/teacher_2.wav
|
| 133 |
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128_Compmusic_20171217TianHao_lsxp-Jiang_shen_er-San_jia_dian-sizhu_student_02_2 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171217TianHao/lsxp-Jiang_shen_er-San_jia_dian-sizhu/student_02_2.wav
|
128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/audioid2path-Jingju_A_Cappella_Singing_Audio_Extended_Dataset_part3_with_prompt.scp
ADDED
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| 1 |
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128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_student_04_1 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171214SongRuoXuan/daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo/student_04_1.wav
|
| 2 |
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|
| 3 |
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128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_student_01_1 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171214SongRuoXuan/daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo/student_01_1.wav
|
| 4 |
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128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_student_05_2 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171214SongRuoXuan/daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo/student_05_2.wav
|
| 5 |
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128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_student_04_2 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171214SongRuoXuan/daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo/student_04_2.wav
|
| 6 |
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128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_student_01_2 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171214SongRuoXuan/daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo/student_01_2.wav
|
| 7 |
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128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_teacher_1 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171214SongRuoXuan/daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo/teacher_1.wav
|
| 8 |
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128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_teacher_2 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171214SongRuoXuan/daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo/teacher_2.wav
|
| 9 |
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128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_student_03_1 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171214SongRuoXuan/daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo/student_03_1.wav
|
| 10 |
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128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_student_02_1 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171214SongRuoXuan/daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo/student_02_1.wav
|
| 11 |
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128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_student_03_2 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171214SongRuoXuan/daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo/student_03_2.wav
|
| 12 |
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128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_student_02_2 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left/20171214SongRuoXuan/daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo/student_02_2.wav
|
| 13 |
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128_Compmusic_20171217TianHao_lsxp-Jiang_shen_er-San_jia_dian-sizhu_student_04_mentougou_1_prompt /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut_prompt/part3/wav_left/20171217TianHao/lsxp-Jiang_shen_er-San_jia_dian-sizhu/student_04_mentougou_1_prompt.wav
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128_Compmusic_20171217TianHao_lsxp-Jiang_shen_er-San_jia_dian-sizhu_teacher_1_prompt /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut_prompt/part3/wav_left/20171217TianHao/lsxp-Jiang_shen_er-San_jia_dian-sizhu/teacher_1_prompt.wav
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128_Compmusic_20171217TianHao_lsxp-Jiang_shen_er-San_jia_dian-sizhu_teacher_2_prompt /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut_prompt/part3/wav_left/20171217TianHao/lsxp-Jiang_shen_er-San_jia_dian-sizhu/teacher_2_prompt.wav
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128_Compmusic_20171217TianHao_lsxp-Jiang_shen_er-San_jia_dian-sizhu_student_02_2_prompt /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut_prompt/part3/wav_left/20171217TianHao/lsxp-Jiang_shen_er-San_jia_dian-sizhu/student_02_2_prompt.wav
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128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/audioid2path-Jingju_Audio_Recordings_Collection.scp
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| 1 |
+
128_Compmusic_uks_tani1_file_32 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_32.wav
|
| 2 |
+
128_Compmusic_uks_tani1_file_46 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_46.wav
|
| 3 |
+
128_Compmusic_uks_tani1_file_48 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_48.wav
|
| 4 |
+
128_Compmusic_uks_tani1_file_24 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_24.wav
|
| 5 |
+
128_Compmusic_uks_tani1_file_86 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_86.wav
|
| 6 |
+
128_Compmusic_uks_tani1_file_67 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_67.wav
|
| 7 |
+
128_Compmusic_uks_tani1_file_60 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_60.wav
|
| 8 |
+
128_Compmusic_uks_tani1_file_98 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_98.wav
|
| 9 |
+
128_Compmusic_uks_tani1_file_38 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_38.wav
|
| 10 |
+
128_Compmusic_uks_tani1_file_74 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_74.wav
|
| 11 |
+
128_Compmusic_uks_tani1_file_83 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_83.wav
|
| 12 |
+
128_Compmusic_uks_tani1_file_53 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_53.wav
|
| 13 |
+
128_Compmusic_uks_tani1_file_112 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_112.wav
|
| 14 |
+
128_Compmusic_uks_tani1_file_45 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_45.wav
|
| 15 |
+
128_Compmusic_uks_tani1_file_12 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_12.wav
|
| 16 |
+
128_Compmusic_uks_tani1_file_66 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_66.wav
|
| 17 |
+
128_Compmusic_uks_tani1_file_5 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_5.wav
|
| 18 |
+
128_Compmusic_uks_tani1_file_13 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_13.wav
|
| 19 |
+
128_Compmusic_uks_tani1_file_17 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_17.wav
|
| 20 |
+
128_Compmusic_uks_tani1_file_1 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_1.wav
|
| 21 |
+
128_Compmusic_uks_tani1_file_99 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_99.wav
|
| 22 |
+
128_Compmusic_uks_tani1_file_102 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_102.wav
|
| 23 |
+
128_Compmusic_uks_tani1_file_42 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_42.wav
|
| 24 |
+
128_Compmusic_uks_tani1_file_93 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_93.wav
|
| 25 |
+
128_Compmusic_uks_tani1_file_56 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_56.wav
|
| 26 |
+
128_Compmusic_uks_tani1_file_111 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_111.wav
|
| 27 |
+
128_Compmusic_uks_tani1_file_103 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_103.wav
|
| 28 |
+
128_Compmusic_uks_tani1_file_79 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_79.wav
|
| 29 |
+
128_Compmusic_uks_tani1_file_62 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_62.wav
|
| 30 |
+
128_Compmusic_uks_tani1_file_81 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_81.wav
|
| 31 |
+
128_Compmusic_uks_tani1_file_108 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_108.wav
|
| 32 |
+
128_Compmusic_uks_tani1_file_34 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_34.wav
|
| 33 |
+
128_Compmusic_uks_tani1_file_25 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_25.wav
|
| 34 |
+
128_Compmusic_uks_tani1_file_119 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_119.wav
|
| 35 |
+
128_Compmusic_uks_tani1_file_44 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_44.wav
|
| 36 |
+
128_Compmusic_uks_tani1_file_90 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_90.wav
|
| 37 |
+
128_Compmusic_uks_tani1_file_94 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_94.wav
|
| 38 |
+
128_Compmusic_uks_tani1_file_20 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_20.wav
|
| 39 |
+
128_Compmusic_uks_tani1_file_125 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_125.wav
|
| 40 |
+
128_Compmusic_uks_tani1_file_124 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_124.wav
|
| 41 |
+
128_Compmusic_uks_tani1_file_92 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_92.wav
|
| 42 |
+
128_Compmusic_uks_tani1_file_77 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_77.wav
|
| 43 |
+
128_Compmusic_uks_tani1_file_7 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_7.wav
|
| 44 |
+
128_Compmusic_uks_tani1_file_117 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_117.wav
|
| 45 |
+
128_Compmusic_uks_tani1_file_114 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_114.wav
|
| 46 |
+
128_Compmusic_uks_tani1_file_50 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_50.wav
|
| 47 |
+
128_Compmusic_uks_tani1_file_89 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_89.wav
|
| 48 |
+
128_Compmusic_uks_tani1_file_97 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_97.wav
|
| 49 |
+
128_Compmusic_uks_tani1_file_2 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_2.wav
|
| 50 |
+
128_Compmusic_uks_tani1_file_69 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_69.wav
|
| 51 |
+
128_Compmusic_uks_tani1_file_58 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_58.wav
|
| 52 |
+
128_Compmusic_uks_tani1_file_39 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_39.wav
|
| 53 |
+
128_Compmusic_uks_tani1_file_76 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_76.wav
|
| 54 |
+
128_Compmusic_uks_tani1_file_16 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_16.wav
|
| 55 |
+
128_Compmusic_uks_tani1_file_118 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_118.wav
|
| 56 |
+
128_Compmusic_uks_tani1_file_59 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_59.wav
|
| 57 |
+
128_Compmusic_uks_tani1_file_70 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_70.wav
|
| 58 |
+
128_Compmusic_uks_tani1_file_106 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_106.wav
|
| 59 |
+
128_Compmusic_uks_tani1_file_41 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_41.wav
|
| 60 |
+
128_Compmusic_uks_tani1_file_104 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_104.wav
|
| 61 |
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128_Compmusic_uks_tani1_file_115 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_115.wav
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128_Compmusic_uks_tani1_file_22 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_22.wav
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128_Compmusic_uks_tani1_file_3 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_3.wav
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128_Compmusic_uks_tani1_file_116 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_116.wav
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128_Compmusic_uks_tani1_file_9 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_9.wav
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128_Compmusic_uks_tani1_file_21 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_21.wav
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128_Compmusic_uks_tani1_file_57 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_57.wav
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128_Compmusic_uks_tani1_file_110 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_110.wav
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128_Compmusic_uks_tani1_file_84 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_84.wav
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128_Compmusic_uks_tani1_file_122 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_122.wav
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128_Compmusic_uks_tani1_file_68 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_68.wav
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128_Compmusic_uks_tani1_file_65 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_65.wav
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128_Compmusic_uks_tani1_file_64 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_64.wav
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128_Compmusic_uks_tani1_file_85 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_85.wav
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128_Compmusic_uks_tani1_file_109 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_109.wav
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128_Compmusic_uks_tani1_file_51 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_51.wav
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128_Compmusic_uks_tani1_file_55 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_55.wav
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128_Compmusic_uks_tani1_file_54 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_54.wav
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128_Compmusic_uks_tani1_file_14 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_14.wav
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128_Compmusic_uks_tani1_file_27 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_27.wav
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128_Compmusic_uks_tani1_file_91 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_91.wav
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128_Compmusic_uks_tani1_file_80 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_80.wav
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128_Compmusic_uks_tani1_file_36 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_36.wav
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128_Compmusic_uks_tani1_file_15 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_15.wav
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128_Compmusic_uks_tani1_file_11 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_11.wav
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128_Compmusic_uks_tani1_file_100 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_100.wav
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128_Compmusic_uks_tani1_file_71 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_71.wav
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128_Compmusic_uks_tani1_file_107 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_107.wav
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128_Compmusic_uks_tani1_file_96 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_96.wav
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128_Compmusic_uks_tani1_file_123 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_123.wav
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128_Compmusic_uks_tani1_file_126 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_126.wav
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128_Compmusic_uks_tani1_file_95 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_95.wav
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128_Compmusic_uks_tani1_file_29 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_29.wav
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128_Compmusic_uks_tani1_file_73 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_73.wav
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128_Compmusic_uks_tani1_file_82 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_82.wav
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128_Compmusic_uks_tani1_file_6 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_6.wav
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128_Compmusic_uks_tani1_file_87 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_87.wav
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128_Compmusic_uks_tani1_file_35 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_35.wav
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128_Compmusic_uks_tani1_file_121 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_121.wav
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128_Compmusic_uks_tani1_file_105 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_105.wav
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128_Compmusic_uks_tani1_file_78 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_78.wav
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128_Compmusic_uks_tani1_file_43 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_43.wav
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128_Compmusic_uks_tani1_file_72 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_72.wav
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128_Compmusic_uks_tani1_file_30 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_30.wav
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128_Compmusic_uks_tani1_file_26 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_26.wav
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128_Compmusic_uks_tani1_file_31 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_31.wav
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128_Compmusic_uks_tani1_file_19 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_19.wav
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128_Compmusic_uks_tani1_file_63 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_63.wav
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128_Compmusic_uks_tani1_file_37 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_37.wav
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128_Compmusic_uks_tani1_file_88 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_88.wav
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128_Compmusic_uks_tani1_file_4 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_4.wav
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128_Compmusic_uks_tani1_file_61 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_61.wav
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128_Compmusic_uks_tani1_file_40 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_40.wav
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128_Compmusic_uks_tani1_file_47 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_47.wav
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128_Compmusic_uks_tani1_file_28 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_28.wav
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128_Compmusic_uks_tani1_file_10 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_10.wav
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128_Compmusic_uks_tani1_file_33 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_33.wav
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128_Compmusic_uks_tani1_file_113 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_113.wav
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128_Compmusic_uks_tani1_file_8 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_8.wav
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128_Compmusic_uks_tani1_file_49 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_49.wav
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128_Compmusic_uks_tani1_file_101 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_101.wav
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128_Compmusic_uks_tani1_file_120 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_120.wav
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128_Compmusic_uks_tani1_file_75 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_75.wav
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128_Compmusic_uks_tani1_file_52 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_52.wav
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128_Compmusic_uks_tani1_file_18 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_18.wav
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128_Compmusic_uks_tani1_file_23 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/uks_tani1_file_23.wav
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128_Compmusic_uks_tani2_file_110.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_110.wav
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128_Compmusic_uks_tani2_file_33.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_33.wav
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128_Compmusic_uks_tani2_file_105.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_105.wav
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128_Compmusic_uks_tani2_file_88.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_88.wav
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128_Compmusic_uks_tani2_file_119.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_119.wav
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128_Compmusic_uks_tani2_file_89.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_89.wav
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128_Compmusic_uks_tani2_file_16.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_16.wav
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128_Compmusic_uks_tani2_file_17.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_17.wav
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128_Compmusic_uks_tani2_file_100.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_100.wav
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128_Compmusic_uks_tani2_file_1.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_1.wav
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128_Compmusic_uks_tani2_file_50.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_50.wav
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128_Compmusic_uks_tani2_file_34.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_34.wav
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128_Compmusic_uks_tani2_file_102.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_102.wav
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128_Compmusic_uks_tani2_file_6.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_6.wav
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128_Compmusic_uks_tani2_file_99.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_99.wav
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128_Compmusic_uks_tani2_file_111.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_111.wav
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128_Compmusic_uks_tani2_file_44.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_44.wav
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128_Compmusic_uks_tani2_file_51.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_51.wav
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128_Compmusic_uks_tani2_file_21.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_21.wav
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128_Compmusic_uks_tani2_file_66.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_66.wav
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128_Compmusic_uks_tani2_file_3.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_3.wav
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128_Compmusic_uks_tani2_file_26.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_26.wav
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128_Compmusic_uks_tani2_file_129.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_129.wav
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128_Compmusic_uks_tani2_file_24.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_24.wav
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128_Compmusic_uks_tani2_file_124.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_124.wav
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128_Compmusic_uks_tani2_file_19.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_19.wav
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128_Compmusic_uks_tani2_file_127.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_127.wav
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128_Compmusic_uks_tani2_file_63.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_63.wav
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128_Compmusic_uks_tani2_file_116.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_116.wav
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128_Compmusic_uks_tani2_file_126.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_126.wav
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128_Compmusic_uks_tani2_file_81.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_81.wav
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128_Compmusic_uks_tani2_file_80.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_80.wav
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128_Compmusic_uks_tani2_file_120.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_120.wav
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128_Compmusic_uks_tani2_file_40.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_40.wav
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128_Compmusic_uks_tani2_file_58.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_58.wav
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128_Compmusic_uks_tani2_file_9.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_9.wav
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128_Compmusic_uks_tani2_file_92.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_92.wav
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128_Compmusic_uks_tani2_file_93.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_93.wav
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128_Compmusic_uks_tani2_file_86.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_86.wav
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128_Compmusic_uks_tani2_file_113.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_113.wav
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128_Compmusic_uks_tani2_file_95.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_95.wav
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128_Compmusic_uks_tani2_file_101.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_101.wav
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128_Compmusic_uks_tani2_file_108.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_108.wav
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128_Compmusic_uks_tani2_file_104.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_104.wav
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128_Compmusic_uks_tani2_file_47.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_47.wav
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128_Compmusic_uks_tani2_file_55.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_55.wav
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128_Compmusic_uks_tani2_file_28.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_28.wav
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128_Compmusic_uks_tani2_file_10.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_10.wav
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128_Compmusic_uks_tani2_file_22.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_22.wav
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128_Compmusic_uks_tani2_file_91.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_91.wav
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128_Compmusic_uks_tani2_file_12.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_12.wav
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128_Compmusic_uks_tani2_file_35.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_35.wav
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128_Compmusic_uks_tani2_file_115.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_115.wav
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128_Compmusic_uks_tani2_file_84.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_84.wav
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128_Compmusic_uks_tani2_file_49.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_49.wav
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128_Compmusic_uks_tani2_file_38.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_38.wav
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128_Compmusic_uks_tani2_file_18.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_18.wav
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128_Compmusic_uks_tani2_file_25.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_25.wav
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128_Compmusic_uks_tani2_file_61.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_61.wav
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128_Compmusic_uks_tani2_file_117.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_117.wav
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128_Compmusic_uks_tani2_file_5.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_5.wav
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128_Compmusic_uks_tani2_file_79.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_79.wav
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128_Compmusic_uks_tani2_file_118.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_118.wav
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128_Compmusic_uks_tani2_file_96.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_96.wav
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128_Compmusic_uks_tani2_file_2.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_2.wav
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128_Compmusic_uks_tani2_file_77.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_77.wav
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128_Compmusic_uks_tani2_file_11.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_11.wav
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128_Compmusic_uks_tani2_file_98.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_98.wav
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128_Compmusic_uks_tani2_file_85.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_85.wav
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128_Compmusic_uks_tani2_file_52.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_52.wav
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128_Compmusic_uks_tani2_file_70.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_70.wav
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128_Compmusic_uks_tani2_file_7.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_7.wav
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128_Compmusic_uks_tani2_file_103.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_103.wav
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128_Compmusic_uks_tani2_file_130.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_130.wav
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128_Compmusic_uks_tani2_file_114.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_114.wav
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128_Compmusic_uks_tani2_file_4.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_4.wav
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128_Compmusic_uks_tani2_file_37.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_37.wav
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128_Compmusic_uks_tani2_file_60.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_60.wav
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128_Compmusic_uks_tani2_file_23.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_23.wav
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128_Compmusic_uks_tani2_file_68.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_68.wav
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128_Compmusic_uks_tani2_file_15.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_15.wav
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128_Compmusic_uks_tani2_file_82.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_82.wav
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128_Compmusic_uks_tani2_file_97.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_97.wav
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128_Compmusic_uks_tani2_file_30.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_30.wav
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128_Compmusic_uks_tani2_file_62.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_62.wav
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128_Compmusic_uks_tani2_file_54.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_54.wav
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128_Compmusic_uks_tani2_file_125.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_125.wav
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128_Compmusic_uks_tani2_file_46.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_46.wav
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128_Compmusic_uks_tani2_file_64.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_64.wav
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128_Compmusic_uks_tani2_file_90.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_90.wav
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| 217 |
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128_Compmusic_uks_tani2_file_123.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_123.wav
|
| 218 |
+
128_Compmusic_uks_tani2_file_56.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_56.wav
|
| 219 |
+
128_Compmusic_uks_tani2_file_8.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_8.wav
|
| 220 |
+
128_Compmusic_uks_tani2_file_87.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_87.wav
|
| 221 |
+
128_Compmusic_uks_tani2_file_36.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_36.wav
|
| 222 |
+
128_Compmusic_uks_tani2_file_132.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_132.wav
|
| 223 |
+
128_Compmusic_uks_tani2_file_83.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_83.wav
|
| 224 |
+
128_Compmusic_uks_tani2_file_43.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_43.wav
|
| 225 |
+
128_Compmusic_uks_tani2_file_45.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_45.wav
|
| 226 |
+
128_Compmusic_uks_tani2_file_31.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_31.wav
|
| 227 |
+
128_Compmusic_uks_tani2_file_107.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_107.wav
|
| 228 |
+
128_Compmusic_uks_tani2_file_74.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_74.wav
|
| 229 |
+
128_Compmusic_uks_tani2_file_72.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_72.wav
|
| 230 |
+
128_Compmusic_uks_tani2_file_27.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_27.wav
|
| 231 |
+
128_Compmusic_uks_tani2_file_42.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_42.wav
|
| 232 |
+
128_Compmusic_uks_tani2_file_78.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_78.wav
|
| 233 |
+
128_Compmusic_uks_tani2_file_76.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_76.wav
|
| 234 |
+
128_Compmusic_uks_tani2_file_20.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_20.wav
|
| 235 |
+
128_Compmusic_uks_tani2_file_32.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_32.wav
|
| 236 |
+
128_Compmusic_uks_tani2_file_122.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_122.wav
|
| 237 |
+
128_Compmusic_uks_tani2_file_69.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_69.wav
|
| 238 |
+
128_Compmusic_uks_tani2_file_29.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_29.wav
|
| 239 |
+
128_Compmusic_uks_tani2_file_53.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_53.wav
|
| 240 |
+
128_Compmusic_uks_tani2_file_121.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_121.wav
|
| 241 |
+
128_Compmusic_uks_tani2_file_128.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_128.wav
|
| 242 |
+
128_Compmusic_uks_tani2_file_59.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_59.wav
|
| 243 |
+
128_Compmusic_uks_tani2_file_75.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_75.wav
|
| 244 |
+
128_Compmusic_uks_tani2_file_109.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_109.wav
|
| 245 |
+
128_Compmusic_uks_tani2_file_39.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_39.wav
|
| 246 |
+
128_Compmusic_uks_tani2_file_57.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_57.wav
|
| 247 |
+
128_Compmusic_uks_tani2_file_112.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_112.wav
|
| 248 |
+
128_Compmusic_uks_tani2_file_94.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_94.wav
|
| 249 |
+
128_Compmusic_uks_tani2_file_106.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_106.wav
|
| 250 |
+
128_Compmusic_uks_tani2_file_65.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_65.wav
|
| 251 |
+
128_Compmusic_uks_tani2_file_41.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_41.wav
|
| 252 |
+
128_Compmusic_uks_tani2_file_13.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_13.wav
|
| 253 |
+
128_Compmusic_uks_tani2_file_73.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_73.wav
|
| 254 |
+
128_Compmusic_uks_tani2_file_48.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_48.wav
|
| 255 |
+
128_Compmusic_uks_tani2_file_67.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_67.wav
|
| 256 |
+
128_Compmusic_uks_tani2_file_131.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_131.wav
|
| 257 |
+
128_Compmusic_uks_tani2_file_71.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_71.wav
|
| 258 |
+
128_Compmusic_uks_tani2_file_14.wav /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/uks_tani2_file_14.wav
|
128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/audioid2path-Saraga_Carnatic_and_Hindustani_collections.scp
ADDED
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The diff for this file is too large to render.
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128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/audioid2path-Saraga_Carnatic_and_Hindustani_collections_with_prompt.scp
ADDED
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The diff for this file is too large to render.
See raw diff
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|
|
128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/audioid2path-Tabla_Solo_Dataset.scp
ADDED
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@@ -0,0 +1,38 @@
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| 1 |
+
128_Compmusic_pjb_77 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/pjb_77.wav
|
| 2 |
+
128_Compmusic_dli_4 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/dli_4.wav
|
| 3 |
+
128_Compmusic_pjb_85 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/pjb_85.wav
|
| 4 |
+
128_Compmusic_ajr_9 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/ajr_9.wav
|
| 5 |
+
128_Compmusic_ajr_12 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/ajr_12.wav
|
| 6 |
+
128_Compmusic_dli_2 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/dli_2.wav
|
| 7 |
+
128_Compmusic_ben_19 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/ben_19.wav
|
| 8 |
+
128_Compmusic_ben_24 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/ben_24.wav
|
| 9 |
+
128_Compmusic_luc_18 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/luc_18.wav
|
| 10 |
+
128_Compmusic_frk_28 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/frk_28.wav
|
| 11 |
+
128_Compmusic_pjb_86 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/pjb_86.wav
|
| 12 |
+
128_Compmusic_pjb_80 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/pjb_80.wav
|
| 13 |
+
128_Compmusic_luc_16 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/luc_16.wav
|
| 14 |
+
128_Compmusic_pjb_82 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/pjb_82.wav
|
| 15 |
+
128_Compmusic_ajr_11 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/ajr_11.wav
|
| 16 |
+
128_Compmusic_frk_30 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/frk_30.wav
|
| 17 |
+
128_Compmusic_ajr_10_dli /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/ajr_10_dli.wav
|
| 18 |
+
128_Compmusic_dli_3 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/dli_3.wav
|
| 19 |
+
128_Compmusic_dli_6 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/dli_6.wav
|
| 20 |
+
128_Compmusic_luc_17 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/luc_17.wav
|
| 21 |
+
128_Compmusic_ben_20 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/ben_20.wav
|
| 22 |
+
128_Compmusic_ben_25 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/ben_25.wav
|
| 23 |
+
128_Compmusic_ben_27 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/ben_27.wav
|
| 24 |
+
128_Compmusic_pjb_75 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/pjb_75.wav
|
| 25 |
+
128_Compmusic_ben_22 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/ben_22.wav
|
| 26 |
+
128_Compmusic_ajr_10_ajr /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/ajr_10_ajr.wav
|
| 27 |
+
128_Compmusic_pjb_79 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/pjb_79.wav
|
| 28 |
+
128_Compmusic_pjb_83 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/pjb_83.wav
|
| 29 |
+
128_Compmusic_ben_21 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/ben_21.wav
|
| 30 |
+
128_Compmusic_ben_26 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/ben_26.wav
|
| 31 |
+
128_Compmusic_pjb_76 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/pjb_76.wav
|
| 32 |
+
128_Compmusic_luc_14 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/luc_14.wav
|
| 33 |
+
128_Compmusic_ben_23 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/ben_23.wav
|
| 34 |
+
128_Compmusic_pjb_84 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/pjb_84.wav
|
| 35 |
+
128_Compmusic_pjb_81 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/pjb_81.wav
|
| 36 |
+
128_Compmusic_dli_1 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/dli_1.wav
|
| 37 |
+
128_Compmusic_frk_31 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/frk_31.wav
|
| 38 |
+
128_Compmusic_dli_5 /scratch/buildlam/rawdata/codeclm/music/128_Compmusic/Tabla_Solo_Dataset/tabla_solo_1.0/wav/dli_5.wav
|
128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/generate_sft.py
ADDED
|
@@ -0,0 +1,1570 @@
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|
| 1 |
+
import os
|
| 2 |
+
import re
|
| 3 |
+
import csv
|
| 4 |
+
import json
|
| 5 |
+
import ezodf
|
| 6 |
+
import random
|
| 7 |
+
import hashlib
|
| 8 |
+
import requests
|
| 9 |
+
import argparse
|
| 10 |
+
import pandas as pd
|
| 11 |
+
from bs4 import BeautifulSoup
|
| 12 |
+
|
| 13 |
+
existed_uuid_list = set()
|
| 14 |
+
|
| 15 |
+
INSTRUCTION = "Please generate a piece of music by the following decription."
|
| 16 |
+
TASK_NAME = "text2music_generation"
|
| 17 |
+
datasetname = "128_Compmusic"
|
| 18 |
+
|
| 19 |
+
data_sample = {
|
| 20 |
+
"instruction": INSTRUCTION,
|
| 21 |
+
"input": "",
|
| 22 |
+
"output": "",
|
| 23 |
+
"uuid": "",
|
| 24 |
+
"split": None,
|
| 25 |
+
"task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": [TASK_NAME]},
|
| 26 |
+
"domain": "music",
|
| 27 |
+
"source": ["meeting"],
|
| 28 |
+
"other": {"tag": ""}
|
| 29 |
+
}
|
| 30 |
+
|
| 31 |
+
Carnatic_instrument_dic = {
|
| 32 |
+
"F" : "flute",
|
| 33 |
+
"L" : "violin",
|
| 34 |
+
"M" : "mridangam",
|
| 35 |
+
"N" : "veena",
|
| 36 |
+
"S" : "saxophone",
|
| 37 |
+
"V" : "vocal"
|
| 38 |
+
}
|
| 39 |
+
|
| 40 |
+
Hindustani_instrument_dic = {
|
| 41 |
+
"B" : "dilruba",
|
| 42 |
+
"D" : "sarod",
|
| 43 |
+
"F" : "flute (bansuri)",
|
| 44 |
+
"L" : "violin",
|
| 45 |
+
"R" : "sarangi",
|
| 46 |
+
"S" : "sitar",
|
| 47 |
+
"V" : "vocals"
|
| 48 |
+
}
|
| 49 |
+
|
| 50 |
+
def generate_random_splits(result_list):
|
| 51 |
+
total_lines = len(result_list)
|
| 52 |
+
train_count = int(total_lines * 0.8)
|
| 53 |
+
dev_count = int(total_lines * 0.1)
|
| 54 |
+
test_count = total_lines - train_count - dev_count
|
| 55 |
+
|
| 56 |
+
splits = ["train"] * train_count + ["dev"] * dev_count + ["test"] * test_count
|
| 57 |
+
random.shuffle(splits)
|
| 58 |
+
|
| 59 |
+
return splits
|
| 60 |
+
|
| 61 |
+
def generate_uuid(pdata,datasetname):
|
| 62 |
+
|
| 63 |
+
'''
|
| 64 |
+
generat uuid for a certain piece of data sample
|
| 65 |
+
'''
|
| 66 |
+
|
| 67 |
+
uuid_string = f"{pdata['instruction']}#{pdata['input']}#{pdata['output']}"
|
| 68 |
+
unique_id = hashlib.md5(uuid_string.encode()).hexdigest()[:16]
|
| 69 |
+
|
| 70 |
+
if unique_id in existed_uuid_list:
|
| 71 |
+
sha1_hash = hashlib.sha1(uuid_string.encode()).hexdigest()[:16]
|
| 72 |
+
|
| 73 |
+
unique_id = hashlib.md5((unique_id + sha1_hash).encode()).hexdigest()[:16]
|
| 74 |
+
|
| 75 |
+
existed_uuid_list.add(unique_id)
|
| 76 |
+
|
| 77 |
+
uuid = f"{datasetname}_{unique_id}"
|
| 78 |
+
|
| 79 |
+
return uuid
|
| 80 |
+
|
| 81 |
+
def generate_Mridangam_Tani_avarthanam_Dataset_sft_data(DATABASE_PATH, SAVE_PATH):
|
| 82 |
+
|
| 83 |
+
tani1_path = os.path.join(DATABASE_PATH, 'Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave')
|
| 84 |
+
tani2_path = os.path.join(DATABASE_PATH, 'Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave')
|
| 85 |
+
|
| 86 |
+
jsonl_file_path = os.path.join(SAVE_PATH, 'sft_data-128_Compmusic-Mridangam_Tani-avarthanam_Dataset-text2music_generation.jsonl')
|
| 87 |
+
|
| 88 |
+
tani1_description = 'text description: Tani avarthanams played on a Mridangam tuned to tonic C#. It is played in vilambita Adi taala (a cycle of 16 beats).\n'
|
| 89 |
+
tani2_description = 'text description: Tani avarthanams played on a Mridangam tuned to tonic C#. It is played in Rupaka tala (a cycle of 3 beats).\n'
|
| 90 |
+
|
| 91 |
+
with open(jsonl_file_path, 'w', encoding='utf-8') as jsonl_file:
|
| 92 |
+
|
| 93 |
+
# tani1/wave
|
| 94 |
+
for file_name in os.listdir(tani1_path):
|
| 95 |
+
if file_name.endswith('.wav'):
|
| 96 |
+
data_item = data_sample
|
| 97 |
+
data_item["input"] = tani1_description,
|
| 98 |
+
data_item["output"] = f'audio: <|SOA|>{datasetname}_{file_name[:-4]}<|EOA|>\n'
|
| 99 |
+
data_item["split"] = ["test"]
|
| 100 |
+
data_uuid = generate_uuid(data_item,datasetname)
|
| 101 |
+
data_item['uuid'] = data_uuid
|
| 102 |
+
jsonl_file.write(json.dumps(data_item, ensure_ascii=False) + '\n')
|
| 103 |
+
|
| 104 |
+
# tani2/wave
|
| 105 |
+
for file_name in os.listdir(tani2_path):
|
| 106 |
+
if file_name.endswith('.wav'):
|
| 107 |
+
data_item = data_sample
|
| 108 |
+
data_item["input"] = tani2_description,
|
| 109 |
+
data_item["output"] = f'audio: <|SOA|>{datasetname}_{file_name}<|EOA|>\n'
|
| 110 |
+
data_item["split"] = ["test"]
|
| 111 |
+
data_uuid = generate_uuid(data_item,datasetname)
|
| 112 |
+
data_item['uuid'] = data_uuid
|
| 113 |
+
jsonl_file.write(json.dumps(data_item, ensure_ascii=False) + '\n')
|
| 114 |
+
|
| 115 |
+
def generate_Mridangam_Tani_avarthanam_Dataset_audioid2path_scp(DATABASE_PATH, SAVE_PATH, TRAIN_PATH):
|
| 116 |
+
|
| 117 |
+
tani1_path = os.path.join(DATABASE_PATH, 'Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave')
|
| 118 |
+
tani2_path = os.path.join(DATABASE_PATH, 'Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave')
|
| 119 |
+
|
| 120 |
+
scp_file_path = os.path.join(SAVE_PATH, 'audioid2path-Mridangam_Tani-avarthanam_Dataset.scp')
|
| 121 |
+
|
| 122 |
+
scp_data = []
|
| 123 |
+
|
| 124 |
+
# tani1/wave
|
| 125 |
+
for file_name in os.listdir(tani1_path):
|
| 126 |
+
if file_name.endswith('.wav'):
|
| 127 |
+
element1 = f"{datasetname}_{file_name[:-4]}"
|
| 128 |
+
element2 = f"{TRAIN_PATH}{datasetname}/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani1/wave/{file_name}"
|
| 129 |
+
scp_data.append(f"{element1} {element2}")
|
| 130 |
+
|
| 131 |
+
# tani2/wave
|
| 132 |
+
for file_name in os.listdir(tani2_path):
|
| 133 |
+
if file_name.endswith('.wav'):
|
| 134 |
+
element1 = f"{datasetname}_{file_name}"
|
| 135 |
+
element2 = f"{TRAIN_PATH}{datasetname}/Mridangam_Tani-avarthanam_Dataset/mridangam_tani-avarthanam_1.0/tani2/wave/{file_name}"
|
| 136 |
+
scp_data.append(f"{element1} {element2}")
|
| 137 |
+
|
| 138 |
+
with open(scp_file_path, 'w', encoding='utf-8') as scp_file:
|
| 139 |
+
for line in scp_data:
|
| 140 |
+
scp_file.write(line + '\n')
|
| 141 |
+
|
| 142 |
+
def generate_Mridangam_Stroke_Dataset_sft_data(DATABASE_PATH, SAVE_PATH):
|
| 143 |
+
|
| 144 |
+
base_dir = os.path.join(DATABASE_PATH, 'Mridangam_Stroke_Dataset/mridangam_stroke_1.0')
|
| 145 |
+
output_jsonl_path = os.path.join(SAVE_PATH, 'sft_data-128_Compmusic-Mridangam_Stroke_Dataset-text2music_generation.jsonl')
|
| 146 |
+
|
| 147 |
+
with open(output_jsonl_path, 'w', encoding='utf-8') as jsonl_file:
|
| 148 |
+
|
| 149 |
+
for folder_name in os.listdir(base_dir):
|
| 150 |
+
folder_path = os.path.join(base_dir, folder_name)
|
| 151 |
+
if os.path.isdir(folder_path):
|
| 152 |
+
wav_files = [f for f in os.listdir(folder_path) if f.endswith('.wav')]
|
| 153 |
+
splits = generate_random_splits(wav_files)
|
| 154 |
+
ci = 0
|
| 155 |
+
for wav_file in wav_files:
|
| 156 |
+
parts = wav_file.split('__')
|
| 157 |
+
if len(parts) >= 3:
|
| 158 |
+
stroke_type = parts[2].split('-')[0]
|
| 159 |
+
data_item = data_sample
|
| 160 |
+
data_item["output"] = f'audio: <|SOA|>{datasetname}_{wav_file[:-4]}<|EOA|>\n'
|
| 161 |
+
data_item["input"] = f"text description: Recording of a single stroke '{stroke_type}' played on a Mridangam of tonic '{folder_name}'.\n"
|
| 162 |
+
data_item["split"] = [splits[ci]]
|
| 163 |
+
ci += 1
|
| 164 |
+
data_uuid = generate_uuid(data_item,datasetname)
|
| 165 |
+
data_item['uuid'] = data_uuid
|
| 166 |
+
jsonl_file.write(json.dumps(data_item, ensure_ascii=False) + '\n')
|
| 167 |
+
|
| 168 |
+
def generate_Mridangam_Stroke_Dataset_audioid2path_scp(DATABASE_PATH, SAVE_PATH, TRAIN_PATH):
|
| 169 |
+
|
| 170 |
+
base_dir = os.path.join(DATABASE_PATH, 'Mridangam_Stroke_Dataset/mridangam_stroke_1.0')
|
| 171 |
+
|
| 172 |
+
scp_file_path = os.path.join(SAVE_PATH, 'audioid2path-Mridangam_Stroke_Dataset.scp')
|
| 173 |
+
|
| 174 |
+
scp_data = []
|
| 175 |
+
|
| 176 |
+
for folder_name in os.listdir(base_dir):
|
| 177 |
+
folder_path = os.path.join(base_dir, folder_name)
|
| 178 |
+
if os.path.isdir(folder_path):
|
| 179 |
+
wav_files = [f for f in os.listdir(folder_path) if f.endswith('.wav')]
|
| 180 |
+
for wav_file in wav_files:
|
| 181 |
+
element1 = f"{datasetname}_{wav_file[:-4]}"
|
| 182 |
+
element2 = f"{TRAIN_PATH}{datasetname}/Mridangam_Stroke_Dataset/mridangam_stroke_1.0/{folder_name}/{wav_file}"
|
| 183 |
+
scp_data.append(f"{element1} {element2}")
|
| 184 |
+
|
| 185 |
+
with open(scp_file_path, 'w', encoding='utf-8') as scp_file:
|
| 186 |
+
for line in scp_data:
|
| 187 |
+
scp_file.write(line + '\n')
|
| 188 |
+
|
| 189 |
+
def generate_Saraga_Carnatic_and_Hindustani_collections_sft_data(DATABASE_PATH, SAVE_PATH, DOWNLOAD_METADATA_PATH):
|
| 190 |
+
|
| 191 |
+
output_file_path = os.path.join(SAVE_PATH, 'sft_data-128_Compmusic-Saraga_Carnatic_and_Hindustani_collections-text2music_generation.jsonl')
|
| 192 |
+
|
| 193 |
+
with open(output_file_path, 'w', encoding='utf-8') as jsonl_file:
|
| 194 |
+
for tradition in ['carnatic', 'hindustani']:
|
| 195 |
+
tradition_dir_path = os.path.join(DATABASE_PATH, 'Saraga_Carnatic_and_Hindustani_collections/saraga1.0', tradition)
|
| 196 |
+
|
| 197 |
+
for subdir in os.listdir(tradition_dir_path):
|
| 198 |
+
subdir_path = os.path.join(tradition_dir_path, subdir)
|
| 199 |
+
|
| 200 |
+
for file_name in os.listdir(subdir_path):
|
| 201 |
+
if file_name.endswith('.json'):
|
| 202 |
+
json_file_path = os.path.join(subdir_path, file_name)
|
| 203 |
+
|
| 204 |
+
with open(json_file_path, 'r', encoding='utf-8') as json_file:
|
| 205 |
+
data = json.load(json_file)
|
| 206 |
+
|
| 207 |
+
data_item = data_sample.copy()
|
| 208 |
+
data_item["input"] = ""
|
| 209 |
+
|
| 210 |
+
if tradition == 'carnatic':
|
| 211 |
+
data_item["input"] += 'This piece is a part of the Carnatic tradition of Indian Art Music. '
|
| 212 |
+
else:
|
| 213 |
+
data_item["input"] += 'This piece is a part of the Hindustani tradition of Indian Art Music. '
|
| 214 |
+
|
| 215 |
+
raga_value = set()
|
| 216 |
+
tala_value = set()
|
| 217 |
+
form_value = set()
|
| 218 |
+
instrument_value = set()
|
| 219 |
+
laya_value = set()
|
| 220 |
+
|
| 221 |
+
if tradition == 'carnatic':
|
| 222 |
+
if "raaga" in data and data["raaga"]:
|
| 223 |
+
raga_value.update([raaga["name"] for raaga in data["raaga"] if "name" in raaga])
|
| 224 |
+
if "taala" in data and data["taala"]:
|
| 225 |
+
tala_value.update([taala["name"] for taala in data["taala"] if "name" in taala])
|
| 226 |
+
if "form" in data and data["form"]:
|
| 227 |
+
form_value.update([form["name"] for form in data["form"] if "name" in form])
|
| 228 |
+
|
| 229 |
+
if tradition == 'hindustani':
|
| 230 |
+
if "raags" in data and data["raags"]:
|
| 231 |
+
raga_value.update([raags["name"] for raags in data["raags"] if "name" in raags])
|
| 232 |
+
if "taals" in data and data["taals"]:
|
| 233 |
+
tala_value.update([taals["name"] for taals in data["taals"] if "name" in taals])
|
| 234 |
+
if "forms" in data and data["forms"]:
|
| 235 |
+
form_value.update([forms["name"] for forms in data["forms"] if "name" in forms])
|
| 236 |
+
if "layas" in data and data["layas"]:
|
| 237 |
+
laya_value.update([layas["name"] for layas in data["layas"] if "name" in layas])
|
| 238 |
+
|
| 239 |
+
if "artists" in data and data["artists"]:
|
| 240 |
+
instrument_value.update([artist["instrument"]["name"] for artist in data["artists"] if "instrument" in artist and "name" in artist["instrument"]])
|
| 241 |
+
|
| 242 |
+
raga_value = list(raga_value)
|
| 243 |
+
tala_value = list(tala_value)
|
| 244 |
+
form_value = list(form_value)
|
| 245 |
+
instrument_value = list(instrument_value)
|
| 246 |
+
laya_value = list(laya_value)
|
| 247 |
+
|
| 248 |
+
if raga_value:
|
| 249 |
+
raga_str = ', '.join(raga_value[:-1]) + ' and ' + raga_value[-1] if len(raga_value) > 1 else raga_value[0]
|
| 250 |
+
data_item["input"] += f'It is set in {raga_str} Rāga. '
|
| 251 |
+
|
| 252 |
+
if tala_value:
|
| 253 |
+
tala_str = ', '.join(tala_value[:-1]) + ' and ' + tala_value[-1] if len(tala_value) > 1 else tala_value[0]
|
| 254 |
+
data_item["input"] += f'The rhythm is governed by {tala_str} Tāla. '
|
| 255 |
+
|
| 256 |
+
if tradition == 'hindustani' and laya_value:
|
| 257 |
+
laya_str = ', '.join(laya_value[:-1]) + ' and ' + laya_value[-1] if len(laya_value) > 1 else laya_value[0]
|
| 258 |
+
laya_plural = "are" if len(laya_value) > 1 else "is"
|
| 259 |
+
data_item["input"] += f'The Laya of the piece {laya_plural} {laya_str}. '
|
| 260 |
+
|
| 261 |
+
if form_value:
|
| 262 |
+
form_str = ', '.join(form_value[:-1]) + ' and ' + form_value[-1] if len(form_value) > 1 else form_value[0]
|
| 263 |
+
form_plural = "forms" if len(form_value) > 1 else "form"
|
| 264 |
+
data_item["input"] += f'The composition takes the {form_plural} of {form_str}. '
|
| 265 |
+
|
| 266 |
+
if instrument_value:
|
| 267 |
+
instrument_str = ', '.join(instrument_value[:-1]) + ' and ' + instrument_value[-1] if len(instrument_value) > 1 else instrument_value[0]
|
| 268 |
+
data_item["input"] += f'The instruments featured in this performance include {instrument_str}. '
|
| 269 |
+
|
| 270 |
+
data_item["input"] += '\n'
|
| 271 |
+
|
| 272 |
+
cut_path = os.path.join(DOWNLOAD_METADATA_PATH, 'Saraga_Carnatic_and_Hindustani_collections_cut/saraga1.0', tradition, subdir)
|
| 273 |
+
for file in os.listdir(cut_path):
|
| 274 |
+
if file.endswith('.mp3'):
|
| 275 |
+
|
| 276 |
+
data_item["output"] = f'audio: <|SOA|>{datasetname}_{tradition}_{subdir}_{file[:-4]}<|EOA|>\n'
|
| 277 |
+
|
| 278 |
+
data_item["split"] = ["train"] if (r := random.uniform(0, 1)) <= 0.8 else ["test"] if r <= 0.9 else ["dev"]
|
| 279 |
+
|
| 280 |
+
data_uuid = generate_uuid(data_item, datasetname)
|
| 281 |
+
data_item['uuid'] = data_uuid
|
| 282 |
+
|
| 283 |
+
jsonl_file.write(json.dumps(data_item, ensure_ascii=False) + '\n')
|
| 284 |
+
|
| 285 |
+
def generate_Saraga_Carnatic_and_Hindustani_collections_scp(SAVE_PATH, DOWNLOAD_METADATA_PATH, TRAIN_PATH):
|
| 286 |
+
|
| 287 |
+
scp_file_path = os.path.join(SAVE_PATH, 'audioid2path-Saraga_Carnatic_and_Hindustani_collections.scp')
|
| 288 |
+
|
| 289 |
+
scp_data = []
|
| 290 |
+
|
| 291 |
+
for tradition in ['carnatic', 'hindustani']:
|
| 292 |
+
tradition_dir_path = os.path.join(DOWNLOAD_METADATA_PATH, 'Saraga_Carnatic_and_Hindustani_collections_cut/saraga1.0', tradition)
|
| 293 |
+
|
| 294 |
+
for subdir in os.listdir(tradition_dir_path):
|
| 295 |
+
subdir_path = os.path.join(tradition_dir_path, subdir)
|
| 296 |
+
|
| 297 |
+
for file_name in os.listdir(subdir_path):
|
| 298 |
+
if file_name.endswith('.mp3'):
|
| 299 |
+
element1 = f"{datasetname}_{tradition}_{subdir}_{file_name[:-4]}"
|
| 300 |
+
element2 = f"{TRAIN_PATH}{datasetname}/Saraga_Carnatic_and_Hindustani_collections_cut/saraga1.0/{tradition}/{subdir}/{file_name}"
|
| 301 |
+
scp_data.append(f"{element1} {element2}")
|
| 302 |
+
|
| 303 |
+
with open(scp_file_path, 'w', encoding='utf-8') as scp_file:
|
| 304 |
+
for line in scp_data:
|
| 305 |
+
scp_file.write(line + '\n')
|
| 306 |
+
|
| 307 |
+
def generate_Saraga_Carnatic_and_Hindustani_collections_with_prompt_sft_data(DATABASE_PATH, SAVE_PATH, DOWNLOAD_METADATA_PATH):
|
| 308 |
+
|
| 309 |
+
output_file_path = os.path.join(SAVE_PATH, 'sft_data-128_Compmusic-Saraga_Carnatic_and_Hindustani_collections_with_prompt-text2music_generation.jsonl')
|
| 310 |
+
|
| 311 |
+
with open(output_file_path, 'w', encoding='utf-8') as jsonl_file:
|
| 312 |
+
for tradition in ['carnatic', 'hindustani']:
|
| 313 |
+
tradition_dir_path = os.path.join(DATABASE_PATH, 'Saraga_Carnatic_and_Hindustani_collections/saraga1.0', tradition)
|
| 314 |
+
|
| 315 |
+
for subdir in os.listdir(tradition_dir_path):
|
| 316 |
+
subdir_path = os.path.join(tradition_dir_path, subdir)
|
| 317 |
+
|
| 318 |
+
for file_name in os.listdir(subdir_path):
|
| 319 |
+
if file_name.endswith('.json'):
|
| 320 |
+
json_file_path = os.path.join(subdir_path, file_name)
|
| 321 |
+
|
| 322 |
+
with open(json_file_path, 'r', encoding='utf-8') as json_file:
|
| 323 |
+
data = json.load(json_file)
|
| 324 |
+
|
| 325 |
+
data_item = data_sample.copy()
|
| 326 |
+
data_item["input"] = ""
|
| 327 |
+
|
| 328 |
+
if tradition == 'carnatic':
|
| 329 |
+
data_item["input"] += 'This piece is a part of the Carnatic tradition of Indian Art Music. '
|
| 330 |
+
else:
|
| 331 |
+
data_item["input"] += 'This piece is a part of the Hindustani tradition of Indian Art Music. '
|
| 332 |
+
|
| 333 |
+
raga_value = set()
|
| 334 |
+
tala_value = set()
|
| 335 |
+
form_value = set()
|
| 336 |
+
instrument_value = set()
|
| 337 |
+
laya_value = set()
|
| 338 |
+
|
| 339 |
+
if tradition == 'carnatic':
|
| 340 |
+
if "raaga" in data and data["raaga"]:
|
| 341 |
+
raga_value.update([raaga["name"] for raaga in data["raaga"] if "name" in raaga])
|
| 342 |
+
if "taala" in data and data["taala"]:
|
| 343 |
+
tala_value.update([taala["name"] for taala in data["taala"] if "name" in taala])
|
| 344 |
+
if "form" in data and data["form"]:
|
| 345 |
+
form_value.update([form["name"] for form in data["form"] if "name" in form])
|
| 346 |
+
|
| 347 |
+
if tradition == 'hindustani':
|
| 348 |
+
if "raags" in data and data["raags"]:
|
| 349 |
+
raga_value.update([raags["name"] for raags in data["raags"] if "name" in raags])
|
| 350 |
+
if "taals" in data and data["taals"]:
|
| 351 |
+
tala_value.update([taals["name"] for taals in data["taals"] if "name" in taals])
|
| 352 |
+
if "forms" in data and data["forms"]:
|
| 353 |
+
form_value.update([forms["name"] for forms in data["forms"] if "name" in forms])
|
| 354 |
+
if "layas" in data and data["layas"]:
|
| 355 |
+
laya_value.update([layas["name"] for layas in data["layas"] if "name" in layas])
|
| 356 |
+
|
| 357 |
+
if "artists" in data and data["artists"]:
|
| 358 |
+
instrument_value.update([artist["instrument"]["name"] for artist in data["artists"] if "instrument" in artist and "name" in artist["instrument"]])
|
| 359 |
+
|
| 360 |
+
raga_value = list(raga_value)
|
| 361 |
+
tala_value = list(tala_value)
|
| 362 |
+
form_value = list(form_value)
|
| 363 |
+
instrument_value = list(instrument_value)
|
| 364 |
+
laya_value = list(laya_value)
|
| 365 |
+
|
| 366 |
+
if raga_value:
|
| 367 |
+
raga_str = ', '.join(raga_value[:-1]) + ' and ' + raga_value[-1] if len(raga_value) > 1 else raga_value[0]
|
| 368 |
+
data_item["input"] += f'It is set in {raga_str} Rāga. '
|
| 369 |
+
|
| 370 |
+
if tala_value:
|
| 371 |
+
tala_str = ', '.join(tala_value[:-1]) + ' and ' + tala_value[-1] if len(tala_value) > 1 else tala_value[0]
|
| 372 |
+
data_item["input"] += f'The rhythm is governed by {tala_str} Tāla. '
|
| 373 |
+
|
| 374 |
+
if tradition == 'hindustani' and laya_value:
|
| 375 |
+
laya_str = ', '.join(laya_value[:-1]) + ' and ' + laya_value[-1] if len(laya_value) > 1 else laya_value[0]
|
| 376 |
+
laya_plural = "are" if len(laya_value) > 1 else "is"
|
| 377 |
+
data_item["input"] += f'The Laya of the piece {laya_plural} {laya_str}. '
|
| 378 |
+
|
| 379 |
+
if form_value:
|
| 380 |
+
form_str = ', '.join(form_value[:-1]) + ' and ' + form_value[-1] if len(form_value) > 1 else form_value[0]
|
| 381 |
+
form_plural = "forms" if len(form_value) > 1 else "form"
|
| 382 |
+
data_item["input"] += f'The composition takes the {form_plural} of {form_str}. '
|
| 383 |
+
|
| 384 |
+
if instrument_value:
|
| 385 |
+
instrument_str = ', '.join(instrument_value[:-1]) + ' and ' + instrument_value[-1] if len(instrument_value) > 1 else instrument_value[0]
|
| 386 |
+
data_item["input"] += f'The instruments featured in this performance include {instrument_str}. '
|
| 387 |
+
|
| 388 |
+
data_item["input"] += '\n '
|
| 389 |
+
|
| 390 |
+
cut_path = os.path.join(DOWNLOAD_METADATA_PATH, 'Saraga_Carnatic_and_Hindustani_collections_cut/saraga1.0', tradition, subdir)
|
| 391 |
+
for file in os.listdir(cut_path):
|
| 392 |
+
if file.endswith('.mp3'):
|
| 393 |
+
data_spe = data_item.copy()
|
| 394 |
+
|
| 395 |
+
data_spe["input"] += f'audio prompt: <|SOA|>{datasetname}_{tradition}_{subdir}_{file[:-4]}_prompt<|EOA|> \n'
|
| 396 |
+
|
| 397 |
+
data_spe["output"] = f'audio: <|SOA|>{datasetname}_{tradition}_{subdir}_{file[:-4]}<|EOA|>\n'
|
| 398 |
+
|
| 399 |
+
data_spe["split"] = ["train"] if (r := random.uniform(0, 1)) <= 0.8 else ["test"] if r <= 0.9 else ["dev"]
|
| 400 |
+
|
| 401 |
+
data_uuid = generate_uuid(data_item, datasetname)
|
| 402 |
+
data_spe['uuid'] = data_uuid
|
| 403 |
+
|
| 404 |
+
jsonl_file.write(json.dumps(data_spe, ensure_ascii=False) + '\n')
|
| 405 |
+
|
| 406 |
+
def generate_Saraga_Carnatic_and_Hindustani_collections_with_prompt_scp(SAVE_PATH, DOWNLOAD_METADATA_PATH, TRAIN_PATH):
|
| 407 |
+
|
| 408 |
+
scp_file_path = os.path.join(SAVE_PATH, 'audioid2path-Saraga_Carnatic_and_Hindustani_collections_with_prompt.scp')
|
| 409 |
+
|
| 410 |
+
scp_data = []
|
| 411 |
+
|
| 412 |
+
for tradition in ['carnatic', 'hindustani']:
|
| 413 |
+
tradition_dir_path = os.path.join(DOWNLOAD_METADATA_PATH, 'Saraga_Carnatic_and_Hindustani_collections_cut/saraga1.0', tradition)
|
| 414 |
+
prompt_tradition_dir_path = os.path.join(DOWNLOAD_METADATA_PATH, 'Saraga_Carnatic_and_Hindustani_collections_cut_prompt/saraga1.0', tradition)
|
| 415 |
+
|
| 416 |
+
for subdir in os.listdir(tradition_dir_path):
|
| 417 |
+
subdir_path = os.path.join(tradition_dir_path, subdir)
|
| 418 |
+
|
| 419 |
+
for file_name in os.listdir(subdir_path):
|
| 420 |
+
if file_name.endswith('.mp3'):
|
| 421 |
+
element1 = f"{datasetname}_{tradition}_{subdir}_{file_name[:-4]}"
|
| 422 |
+
element2 = f"{TRAIN_PATH}{datasetname}/Saraga_Carnatic_and_Hindustani_collections_cut/saraga1.0/{tradition}/{subdir}/{file_name}"
|
| 423 |
+
scp_data.append(f"{element1} {element2}")
|
| 424 |
+
|
| 425 |
+
for subdir in os.listdir(prompt_tradition_dir_path):
|
| 426 |
+
subdir_path = os.path.join(prompt_tradition_dir_path, subdir)
|
| 427 |
+
|
| 428 |
+
for file_name in os.listdir(subdir_path):
|
| 429 |
+
if file_name.endswith('.mp3'):
|
| 430 |
+
element1 = f"{datasetname}_{tradition}_{subdir}_{file_name[:-4]}"
|
| 431 |
+
element2 = f"{TRAIN_PATH}{datasetname}/Saraga_Carnatic_and_Hindustani_collections_cut_prompt/saraga1.0/{tradition}/{subdir}/{file_name}"
|
| 432 |
+
scp_data.append(f"{element1} {element2}")
|
| 433 |
+
|
| 434 |
+
with open(scp_file_path, 'w', encoding='utf-8') as scp_file:
|
| 435 |
+
for line in scp_data:
|
| 436 |
+
scp_file.write(line + '\n')
|
| 437 |
+
|
| 438 |
+
def generate_Tabla_Solo_Dataset_sft_data(DATABASE_PATH, SAVE_PATH):
|
| 439 |
+
|
| 440 |
+
output_file_path = os.path.join(SAVE_PATH, 'sft_data-128_Compmusic-Tabla_Solo_Dataset-text2music_generation.jsonl')
|
| 441 |
+
score_dir_path = os.path.join(DATABASE_PATH, 'Tabla_Solo_Dataset/tabla_solo_1.0/score')
|
| 442 |
+
|
| 443 |
+
with open(output_file_path, 'w', encoding='utf-8') as jsonl_file:
|
| 444 |
+
for file_name in os.listdir(score_dir_path):
|
| 445 |
+
if file_name.endswith('.txt'):
|
| 446 |
+
txt_file_path = os.path.join(score_dir_path, file_name)
|
| 447 |
+
|
| 448 |
+
gharana_value = ""
|
| 449 |
+
jati_value = ""
|
| 450 |
+
type_value = ""
|
| 451 |
+
tala_value = ""
|
| 452 |
+
|
| 453 |
+
with open(txt_file_path, 'r', encoding='utf-8') as txt_file:
|
| 454 |
+
lines = txt_file.readlines()
|
| 455 |
+
for line in lines:
|
| 456 |
+
if line.startswith('GHARANA:'):
|
| 457 |
+
gharana_value = line.replace('GHARANA:', '').strip().lower()
|
| 458 |
+
if gharana_value == '??':
|
| 459 |
+
gharana_value = ""
|
| 460 |
+
elif line.startswith('JATI:'):
|
| 461 |
+
jati_value = line.replace('JATI:', '').strip().lower()
|
| 462 |
+
if jati_value == '??':
|
| 463 |
+
jati_value = ""
|
| 464 |
+
elif line.startswith('TYPE:'):
|
| 465 |
+
type_value = line.replace('TYPE:', '').strip().lower()
|
| 466 |
+
if type_value == '??':
|
| 467 |
+
type_value = ""
|
| 468 |
+
elif line.startswith('TALA:'):
|
| 469 |
+
tala_value = line.replace('TALA:', '').strip().lower()
|
| 470 |
+
if tala_value == '??':
|
| 471 |
+
tala_value = ""
|
| 472 |
+
|
| 473 |
+
data_item = data_sample
|
| 474 |
+
data_item["input"] = ""
|
| 475 |
+
if gharana_value:
|
| 476 |
+
data_item["input"] += f'This tabla solo belongs to the {gharana_value} gharana. '
|
| 477 |
+
if type_value:
|
| 478 |
+
data_item["input"] += f'It is a {type_value} type of composition. '
|
| 479 |
+
if tala_value:
|
| 480 |
+
data_item["input"] += f'It is set to the {tala_value} tala. '
|
| 481 |
+
if jati_value:
|
| 482 |
+
data_item["input"] += f'It features a {jati_value} rhythmic structure. '
|
| 483 |
+
|
| 484 |
+
data_item["input"] += '\n'
|
| 485 |
+
data_item["output"] = f'audio: <|SOA|>{datasetname}_{file_name[:-4]}<|EOA|>\n'
|
| 486 |
+
data_item["split"] = ["test"]
|
| 487 |
+
data_uuid = generate_uuid(data_item, datasetname)
|
| 488 |
+
data_item['uuid'] = data_uuid
|
| 489 |
+
|
| 490 |
+
jsonl_file.write(json.dumps(data_item, ensure_ascii=False) + '\n')
|
| 491 |
+
|
| 492 |
+
def generate_Tabla_Solo_Dataset_scp(DATABASE_PATH, SAVE_PATH, TRAIN_PATH):
|
| 493 |
+
|
| 494 |
+
scp_file_path = os.path.join(SAVE_PATH, 'audioid2path-Tabla_Solo_Dataset.scp')
|
| 495 |
+
|
| 496 |
+
base_dir = os.path.join(DATABASE_PATH, 'Tabla_Solo_Dataset/tabla_solo_1.0/wav')
|
| 497 |
+
|
| 498 |
+
scp_data = []
|
| 499 |
+
|
| 500 |
+
for file_name in os.listdir(base_dir):
|
| 501 |
+
if file_name.endswith('.wav'):
|
| 502 |
+
element1 = f"{datasetname}_{file_name[:-4]}"
|
| 503 |
+
element2 = f"{TRAIN_PATH}{datasetname}/Tabla_Solo_Dataset/tabla_solo_1.0/wav/{file_name}"
|
| 504 |
+
scp_data.append(f"{element1} {element2}")
|
| 505 |
+
|
| 506 |
+
with open(scp_file_path, 'w', encoding='utf-8') as scp_file:
|
| 507 |
+
for line in scp_data:
|
| 508 |
+
scp_file.write(line + '\n')
|
| 509 |
+
|
| 510 |
+
def generate_Carnatic_Varnam_Dataset_sft_data(DATABASE_PATH, SAVE_PATH, DOWNLOAD_METADATA_PATH):
|
| 511 |
+
|
| 512 |
+
output_file_path = os.path.join(SAVE_PATH, 'sft_data-128_Compmusic-Carnatic_Varnam_Dataset-text2music_generation.jsonl')
|
| 513 |
+
audio_dir_path = os.path.join(DATABASE_PATH, 'Carnatic_Varnam_Dataset/carnatic_varnam_1.0/Audio/')
|
| 514 |
+
|
| 515 |
+
with open(output_file_path, 'w', encoding='utf-8') as jsonl_file:
|
| 516 |
+
for file_name in os.listdir(audio_dir_path):
|
| 517 |
+
if file_name.endswith('.mp3'):
|
| 518 |
+
raga_value = file_name.split('-in-')[-1].split('-raaga')[0]
|
| 519 |
+
data_item = data_sample.copy()
|
| 520 |
+
data_item["input"] = f'This recording features a Carnatic Varnam in the {raga_value} rāga, set to the Adi taala. The performance is recorded without any accompanying instruments except for a drone. \n'
|
| 521 |
+
|
| 522 |
+
cut_path = os.path.join(DOWNLOAD_METADATA_PATH, 'Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio')
|
| 523 |
+
for file in os.listdir(cut_path):
|
| 524 |
+
if file_name[:-4] in file:
|
| 525 |
+
data_item["output"] = f'audio: <|SOA|>{datasetname}_{file[:-4]}<|EOA|>\n'
|
| 526 |
+
data_item["split"] = ["test"]
|
| 527 |
+
data_uuid = generate_uuid(data_item, datasetname)
|
| 528 |
+
data_item['uuid'] = data_uuid
|
| 529 |
+
|
| 530 |
+
jsonl_file.write(json.dumps(data_item, ensure_ascii=False) + '\n')
|
| 531 |
+
|
| 532 |
+
def generate_Carnatic_Varnam_Dataset_scp(SAVE_PATH, DOWNLOAD_METADATA_PATH, TRAIN_PATH):
|
| 533 |
+
|
| 534 |
+
scp_file_path = os.path.join(SAVE_PATH, 'audioid2path-Carnatic_Varnam_Dataset.scp')
|
| 535 |
+
|
| 536 |
+
base_dir = os.path.join(DOWNLOAD_METADATA_PATH, 'Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/')
|
| 537 |
+
|
| 538 |
+
scp_data = []
|
| 539 |
+
|
| 540 |
+
for file_name in os.listdir(base_dir):
|
| 541 |
+
if file_name.endswith('.mp3'):
|
| 542 |
+
element1 = f"{datasetname}_{file_name[:-4]}"
|
| 543 |
+
element2 = f"{TRAIN_PATH}{datasetname}/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/{file_name}"
|
| 544 |
+
scp_data.append(f"{element1} {element2}")
|
| 545 |
+
|
| 546 |
+
with open(scp_file_path, 'w', encoding='utf-8') as scp_file:
|
| 547 |
+
for line in scp_data:
|
| 548 |
+
scp_file.write(line + '\n')
|
| 549 |
+
|
| 550 |
+
def generate_Carnatic_Varnam_Dataset_with_prompt_sft_data(DATABASE_PATH, SAVE_PATH, DOWNLOAD_METADATA_PATH):
|
| 551 |
+
|
| 552 |
+
output_file_path = os.path.join(SAVE_PATH, 'sft_data-128_Compmusic-Carnatic_Varnam_Dataset_with_prompt-text2music_generation.jsonl')
|
| 553 |
+
audio_dir_path = os.path.join(DATABASE_PATH, 'Carnatic_Varnam_Dataset/carnatic_varnam_1.0/Audio/')
|
| 554 |
+
|
| 555 |
+
with open(output_file_path, 'w', encoding='utf-8') as jsonl_file:
|
| 556 |
+
for file_name in os.listdir(audio_dir_path):
|
| 557 |
+
if file_name.endswith('.mp3'):
|
| 558 |
+
raga_value = file_name.split('-in-')[-1].split('-raaga')[0]
|
| 559 |
+
data_item = data_sample.copy()
|
| 560 |
+
data_item["input"] = (
|
| 561 |
+
f'This recording features a Carnatic Varnam in the {raga_value} rāga, set to the Adi taala. '
|
| 562 |
+
f'The performance is recorded without any accompanying instruments except for a drone. \n '
|
| 563 |
+
)
|
| 564 |
+
cut_path = os.path.join(DOWNLOAD_METADATA_PATH, 'Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio')
|
| 565 |
+
for file in os.listdir(cut_path):
|
| 566 |
+
if file_name[:-4] in file:
|
| 567 |
+
|
| 568 |
+
data_spe = data_item.copy()
|
| 569 |
+
data_spe["input"] += f'audio prompt: <|SOA|>{datasetname}_{file[:-4]}_prompt<|EOA|> \n'
|
| 570 |
+
data_spe["output"] = f'audio: <|SOA|>{datasetname}_{file[:-4]}<|EOA|>\n'
|
| 571 |
+
data_spe["split"] = ["test"]
|
| 572 |
+
data_uuid = generate_uuid(data_spe, datasetname)
|
| 573 |
+
data_spe['uuid'] = data_uuid
|
| 574 |
+
|
| 575 |
+
jsonl_file.write(json.dumps(data_spe, ensure_ascii=False) + '\n')
|
| 576 |
+
|
| 577 |
+
def generate_Carnatic_Varnam_Dataset_with_prompt_scp(SAVE_PATH, DOWNLOAD_METADATA_PATH, TRAIN_PATH):
|
| 578 |
+
|
| 579 |
+
scp_file_path = os.path.join(SAVE_PATH, 'audioid2path-Carnatic_Varnam_Dataset_with_prompt.scp')
|
| 580 |
+
|
| 581 |
+
base_dir = os.path.join(DOWNLOAD_METADATA_PATH, 'Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/')
|
| 582 |
+
|
| 583 |
+
prompt_base_dir = os.path.join(DOWNLOAD_METADATA_PATH, 'Carnatic_Varnam_Dataset_cut_prompt/carnatic_varnam_1.0/Audio/')
|
| 584 |
+
|
| 585 |
+
scp_data = []
|
| 586 |
+
|
| 587 |
+
for file_name in os.listdir(base_dir):
|
| 588 |
+
if file_name.endswith('.mp3'):
|
| 589 |
+
element1 = f"{datasetname}_{file_name[:-4]}"
|
| 590 |
+
element2 = f"{TRAIN_PATH}{datasetname}/Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/{file_name}"
|
| 591 |
+
scp_data.append(f"{element1} {element2}")
|
| 592 |
+
|
| 593 |
+
for file_name in os.listdir(prompt_base_dir):
|
| 594 |
+
if file_name.endswith('.mp3'):
|
| 595 |
+
element1 = f"{datasetname}_{file_name[:-4]}"
|
| 596 |
+
element2 = f"{TRAIN_PATH}{datasetname}/Carnatic_Varnam_Dataset_cut_prompt/carnatic_varnam_1.0/Audio/{file_name}"
|
| 597 |
+
scp_data.append(f"{element1} {element2}")
|
| 598 |
+
|
| 599 |
+
with open(scp_file_path, 'w', encoding='utf-8') as scp_file:
|
| 600 |
+
for line in scp_data:
|
| 601 |
+
scp_file.write(line + '\n')
|
| 602 |
+
|
| 603 |
+
def generate_Carnatic_Music_Rhythm_Dataset_sft_data(DATABASE_PATH, SAVE_PATH, DOWNLOAD_METADATA_PATH):
|
| 604 |
+
|
| 605 |
+
excel_file = os.path.join(DATABASE_PATH, 'Carnatic_Music_Rhythm_Dataset/CMR_full_dataset_1.0/CMRfullDataset.xlsx')
|
| 606 |
+
meter_path = os.path.join(DATABASE_PATH, 'Carnatic_Music_Rhythm_Dataset/CMR_full_dataset_1.0/annotations/meter')
|
| 607 |
+
audio_path = os.path.join(DATABASE_PATH, 'Carnatic_Music_Rhythm_Dataset/CMR_full_dataset_1.0/audio')
|
| 608 |
+
output_file_path = os.path.join(SAVE_PATH, 'sft_data-128_Compmusic-Carnatic_Music_Rhythm_Dataset-text2music_generation.jsonl')
|
| 609 |
+
cut_path = os.path.join(DOWNLOAD_METADATA_PATH, 'Carnatic_Music_Rhythm_Dataset_cut/CMR_full_dataset_1.0/audio')
|
| 610 |
+
|
| 611 |
+
xls = pd.ExcelFile(excel_file)
|
| 612 |
+
carnatic_df = pd.read_excel(xls, 'Carnatic')
|
| 613 |
+
working_df = pd.read_excel(xls, 'Carnatic_working')
|
| 614 |
+
with open(output_file_path, 'w', encoding='utf-8') as jsonl_file:
|
| 615 |
+
for _, row in carnatic_df.iterrows():
|
| 616 |
+
uid = row['UID']
|
| 617 |
+
song_name = row['Name']
|
| 618 |
+
tala_value = row['Taala']
|
| 619 |
+
raga_value = row['Raaga']
|
| 620 |
+
instrument_value = Carnatic_instrument_dic[row['Lead Instrument Code']]
|
| 621 |
+
working_row = working_df[working_df['UID'] == uid]
|
| 622 |
+
if working_row.empty:
|
| 623 |
+
continue
|
| 624 |
+
|
| 625 |
+
kalai_value = ''
|
| 626 |
+
if '1' in str(working_row['KaLai'].values[0]):
|
| 627 |
+
kalai_value = '1'
|
| 628 |
+
if '2' in str(working_row['KaLai'].values[0]):
|
| 629 |
+
if kalai_value:
|
| 630 |
+
kalai_value = '1 or 2'
|
| 631 |
+
else:
|
| 632 |
+
kalai_value = '2'
|
| 633 |
+
|
| 634 |
+
meter_value = ''
|
| 635 |
+
for meter_file in os.listdir(meter_path):
|
| 636 |
+
if song_name in meter_file:
|
| 637 |
+
with open(os.path.join(meter_path, meter_file), 'r') as mf:
|
| 638 |
+
meter_value = mf.read().strip()
|
| 639 |
+
break
|
| 640 |
+
|
| 641 |
+
wav_name = ''
|
| 642 |
+
for wav_file in os.listdir(audio_path):
|
| 643 |
+
if song_name in wav_file:
|
| 644 |
+
wav_name = wav_file
|
| 645 |
+
break
|
| 646 |
+
|
| 647 |
+
data_item = data_sample.copy()
|
| 648 |
+
if raga_value != '-NA-':
|
| 649 |
+
data_item["input"] = f'This is a Carnatic music piece set in the {raga_value} raga. It follows the {meter_value} meter and is composed in the {tala_value} taala. The lead instrument featured in this performance is {instrument_value}, accompanied by Mridangam. The kalai of this composition is {kalai_value}. \n'
|
| 650 |
+
else:
|
| 651 |
+
data_item["input"] = f'This is a Carnatic music piece. It follows the {meter_value} meter and is composed in the {tala_value} taala. The lead instrument featured in this performance is {instrument_value}, accompanied by Mridangam. The kalai of this composition is {kalai_value}. \n'
|
| 652 |
+
for file in os.listdir(cut_path):
|
| 653 |
+
if wav_name != '':
|
| 654 |
+
if wav_name[:-4] in file:
|
| 655 |
+
data_item["output"] = f'audio: <|SOA|>{datasetname}_{file[:-4]}<|EOA|>\n'
|
| 656 |
+
data_item["split"] = ["test"]
|
| 657 |
+
data_uuid = generate_uuid(data_item, datasetname)
|
| 658 |
+
data_item['uuid'] = data_uuid
|
| 659 |
+
jsonl_file.write(json.dumps(data_item, ensure_ascii=False) + '\n')
|
| 660 |
+
|
| 661 |
+
def generate_Carnatic_Music_Rhythm_Dataset_scp(SAVE_PATH, DOWNLOAD_METADATA_PATH, TRAIN_PATH):
|
| 662 |
+
|
| 663 |
+
scp_file_path = os.path.join(SAVE_PATH, 'audioid2path-Carnatic_Music_Rhythm_Dataset.scp')
|
| 664 |
+
|
| 665 |
+
base_dir = os.path.join(DOWNLOAD_METADATA_PATH, 'Carnatic_Music_Rhythm_Dataset_cut/CMR_full_dataset_1.0/audio')
|
| 666 |
+
|
| 667 |
+
scp_data = []
|
| 668 |
+
|
| 669 |
+
for file_name in os.listdir(base_dir):
|
| 670 |
+
if file_name.endswith('.wav'):
|
| 671 |
+
element1 = f"{datasetname}_{file_name[:-4]}"
|
| 672 |
+
element2 = f"{TRAIN_PATH}{datasetname}/Carnatic_Music_Rhythm_Dataset_cut/CMR_full_dataset_1.0/audio/{file_name}"
|
| 673 |
+
scp_data.append(f"{element1} {element2}")
|
| 674 |
+
|
| 675 |
+
with open(scp_file_path, 'w', encoding='utf-8') as scp_file:
|
| 676 |
+
for line in scp_data:
|
| 677 |
+
scp_file.write(line + '\n')
|
| 678 |
+
|
| 679 |
+
def generate_Carnatic_Music_Rhythm_Dataset_with_prompt_sft_data(DATABASE_PATH, SAVE_PATH, DOWNLOAD_METADATA_PATH):
|
| 680 |
+
|
| 681 |
+
excel_file = os.path.join(DATABASE_PATH, 'Carnatic_Music_Rhythm_Dataset/CMR_full_dataset_1.0/CMRfullDataset.xlsx')
|
| 682 |
+
meter_path = os.path.join(DATABASE_PATH, 'Carnatic_Music_Rhythm_Dataset/CMR_full_dataset_1.0/annotations/meter')
|
| 683 |
+
audio_path = os.path.join(DATABASE_PATH, 'Carnatic_Music_Rhythm_Dataset/CMR_full_dataset_1.0/audio')
|
| 684 |
+
output_file_path = os.path.join(SAVE_PATH, 'sft_data-128_Compmusic-Carnatic_Music_Rhythm_Dataset_with_prompt-text2music_generation.jsonl')
|
| 685 |
+
cut_path = os.path.join(DOWNLOAD_METADATA_PATH, 'Carnatic_Music_Rhythm_Dataset_cut/CMR_full_dataset_1.0/audio')
|
| 686 |
+
|
| 687 |
+
xls = pd.ExcelFile(excel_file)
|
| 688 |
+
carnatic_df = pd.read_excel(xls, 'Carnatic')
|
| 689 |
+
working_df = pd.read_excel(xls, 'Carnatic_working')
|
| 690 |
+
with open(output_file_path, 'w', encoding='utf-8') as jsonl_file:
|
| 691 |
+
for _, row in carnatic_df.iterrows():
|
| 692 |
+
uid = row['UID']
|
| 693 |
+
song_name = row['Name']
|
| 694 |
+
tala_value = row['Taala']
|
| 695 |
+
raga_value = row['Raaga']
|
| 696 |
+
instrument_value = Carnatic_instrument_dic[row['Lead Instrument Code']]
|
| 697 |
+
working_row = working_df[working_df['UID'] == uid]
|
| 698 |
+
if working_row.empty:
|
| 699 |
+
continue
|
| 700 |
+
|
| 701 |
+
kalai_value = ''
|
| 702 |
+
if '1' in str(working_row['KaLai'].values[0]):
|
| 703 |
+
kalai_value = '1'
|
| 704 |
+
if '2' in str(working_row['KaLai'].values[0]):
|
| 705 |
+
if kalai_value:
|
| 706 |
+
kalai_value = '1 or 2'
|
| 707 |
+
else:
|
| 708 |
+
kalai_value = '2'
|
| 709 |
+
|
| 710 |
+
meter_value = ''
|
| 711 |
+
for meter_file in os.listdir(meter_path):
|
| 712 |
+
if song_name in meter_file:
|
| 713 |
+
with open(os.path.join(meter_path, meter_file), 'r') as mf:
|
| 714 |
+
meter_value = mf.read().strip()
|
| 715 |
+
break
|
| 716 |
+
|
| 717 |
+
wav_name = ''
|
| 718 |
+
for wav_file in os.listdir(audio_path):
|
| 719 |
+
if song_name in wav_file:
|
| 720 |
+
wav_name = wav_file
|
| 721 |
+
break
|
| 722 |
+
|
| 723 |
+
data_item = data_sample.copy()
|
| 724 |
+
if raga_value != '-NA-':
|
| 725 |
+
data_item["input"] = f'This is a Carnatic music piece set in the {raga_value} raga. It follows the {meter_value} meter and is composed in the {tala_value} taala. The lead instrument featured in this performance is {instrument_value}, accompanied by Mridangam. The kalai of this composition is {kalai_value}. \n '
|
| 726 |
+
else:
|
| 727 |
+
data_item["input"] = f'This is a Carnatic music piece. It follows the {meter_value} meter and is composed in the {tala_value} taala. The lead instrument featured in this performance is {instrument_value}, accompanied by Mridangam. The kalai of this composition is {kalai_value}. \n '
|
| 728 |
+
for file in os.listdir(cut_path):
|
| 729 |
+
if wav_name != '':
|
| 730 |
+
if wav_name[:-4] in file:
|
| 731 |
+
data_spe = data_item.copy()
|
| 732 |
+
data_spe["input"] += f'audio prompt: <|SOA|>{datasetname}_{file[:-4]}_prompt<|EOA|> \n'
|
| 733 |
+
data_spe["output"] = f'audio: <|SOA|>{datasetname}_{file[:-4]}<|EOA|>\n'
|
| 734 |
+
data_spe["split"] = ["test"]
|
| 735 |
+
data_uuid = generate_uuid(data_spe, datasetname)
|
| 736 |
+
data_spe['uuid'] = data_uuid
|
| 737 |
+
jsonl_file.write(json.dumps(data_spe, ensure_ascii=False) + '\n')
|
| 738 |
+
|
| 739 |
+
def generate_Carnatic_Music_Rhythm_Dataset_with_prompt_scp(SAVE_PATH, DOWNLOAD_METADATA_PATH, TRAIN_PATH):
|
| 740 |
+
|
| 741 |
+
scp_file_path = os.path.join(SAVE_PATH, 'audioid2path-Carnatic_Music_Rhythm_Dataset_with_prompt.scp')
|
| 742 |
+
|
| 743 |
+
base_dir = os.path.join(DOWNLOAD_METADATA_PATH, 'Carnatic_Music_Rhythm_Dataset_cut/CMR_full_dataset_1.0/audio')
|
| 744 |
+
prompt_base_dir = os.path.join(DOWNLOAD_METADATA_PATH, 'Carnatic_Music_Rhythm_Dataset_cut_prompt/CMR_full_dataset_1.0/audio')
|
| 745 |
+
|
| 746 |
+
scp_data = []
|
| 747 |
+
|
| 748 |
+
for file_name in os.listdir(base_dir):
|
| 749 |
+
if file_name.endswith('.wav'):
|
| 750 |
+
element1 = f"{datasetname}_{file_name[:-4]}"
|
| 751 |
+
element2 = f"{TRAIN_PATH}{datasetname}/Carnatic_Music_Rhythm_Dataset_cut/CMR_full_dataset_1.0/audio/{file_name}"
|
| 752 |
+
scp_data.append(f"{element1} {element2}")
|
| 753 |
+
|
| 754 |
+
for file_name in os.listdir(prompt_base_dir):
|
| 755 |
+
if file_name.endswith('.wav'):
|
| 756 |
+
element1 = f"{datasetname}_{file_name[:-4]}"
|
| 757 |
+
element2 = f"{TRAIN_PATH}{datasetname}/Carnatic_Music_Rhythm_Dataset_cut_prompt/CMR_full_dataset_1.0/audio/{file_name}"
|
| 758 |
+
scp_data.append(f"{element1} {element2}")
|
| 759 |
+
|
| 760 |
+
with open(scp_file_path, 'w', encoding='utf-8') as scp_file:
|
| 761 |
+
for line in scp_data:
|
| 762 |
+
scp_file.write(line + '\n')
|
| 763 |
+
|
| 764 |
+
def generate_Hindustani_Music_Rhythm_Dataset_sft_data(DATABASE_PATH, SAVE_PATH, DOWNLOAD_METADATA_PATH):
|
| 765 |
+
|
| 766 |
+
excel_file = os.path.join(DATABASE_PATH, 'Hindustani_Music_Rhythm_Dataset/HMR_1.0/HMDf.xlsx')
|
| 767 |
+
meter_path = os.path.join(DATABASE_PATH, 'Hindustani_Music_Rhythm_Dataset/HMR_1.0/annotations/meter')
|
| 768 |
+
audio_path = os.path.join(DATABASE_PATH, 'Hindustani_Music_Rhythm_Dataset/HMR_1.0/audio')
|
| 769 |
+
output_file_path = os.path.join(SAVE_PATH, 'sft_data-128_Compmusic-Hindustani_Music_Rhythm_Dataset-text2music_generation.jsonl')
|
| 770 |
+
cut_path = os.path.join(DOWNLOAD_METADATA_PATH, 'Hindustani_Music_Rhythm_Dataset_cut/HMR_1.0/audio')
|
| 771 |
+
|
| 772 |
+
hmdf_df = pd.read_excel(excel_file, sheet_name='HMDf')
|
| 773 |
+
|
| 774 |
+
with open(output_file_path, 'w', encoding='utf-8') as jsonl_file:
|
| 775 |
+
for _, row in hmdf_df.iterrows():
|
| 776 |
+
song_name = row['Name']
|
| 777 |
+
raga_value = row['Raag']
|
| 778 |
+
instrument_value = Hindustani_instrument_dic[row['Instrument Code']]
|
| 779 |
+
taal_value = row['Taal']
|
| 780 |
+
tempo_value = row['Corrected Lay Label']
|
| 781 |
+
|
| 782 |
+
meter_value = ''
|
| 783 |
+
for meter_file in os.listdir(meter_path):
|
| 784 |
+
if song_name in meter_file:
|
| 785 |
+
with open(os.path.join(meter_path, meter_file), 'r') as mf:
|
| 786 |
+
meter_value = mf.read().strip()
|
| 787 |
+
break
|
| 788 |
+
|
| 789 |
+
wav_name = ''
|
| 790 |
+
for wav_file in os.listdir(audio_path):
|
| 791 |
+
if song_name in wav_file:
|
| 792 |
+
wav_name = wav_file
|
| 793 |
+
break
|
| 794 |
+
|
| 795 |
+
data_item = data_sample
|
| 796 |
+
if raga_value != '…':
|
| 797 |
+
data_item["input"] = (f'This Hindustani Music piece is based on the raga {raga_value} and is performed at a {tempo_value} lay. '
|
| 798 |
+
f'It features the {instrument_value} as the main instrument. It has Tabla as the percussion accompaniment. '
|
| 799 |
+
f'The piece follows the Tāl {taal_value}, with a meter of {meter_value}. \n')
|
| 800 |
+
else:
|
| 801 |
+
data_item["input"] = (f'This Hindustani Music piece is performed at a {tempo_value} lay. '
|
| 802 |
+
f'It features the {instrument_value} as the main instrument. It has Tabla as the percussion accompaniment. '
|
| 803 |
+
f'The piece follows the Tāl {taal_value}, with a meter of {meter_value}. \n')
|
| 804 |
+
|
| 805 |
+
for file in os.listdir(cut_path):
|
| 806 |
+
if wav_name != '':
|
| 807 |
+
if wav_name[:-4] in file:
|
| 808 |
+
data_item["output"] = f'audio: <|SOA|>{datasetname}_{file[:-4]}<|EOA|>\n'
|
| 809 |
+
data_item["split"] = ["test"]
|
| 810 |
+
data_uuid = generate_uuid(data_item, datasetname)
|
| 811 |
+
data_item['uuid'] = data_uuid
|
| 812 |
+
|
| 813 |
+
jsonl_file.write(json.dumps(data_item, ensure_ascii=False) + '\n')
|
| 814 |
+
|
| 815 |
+
def generate_Hindustani_Music_Rhythm_Dataset_scp(SAVE_PATH, DOWNLOAD_METADATA_PATH, TRAIN_PATH):
|
| 816 |
+
|
| 817 |
+
scp_file_path = os.path.join(SAVE_PATH, 'audioid2path-Hindustani_Music_Rhythm_Dataset.scp')
|
| 818 |
+
|
| 819 |
+
base_dir = os.path.join(DOWNLOAD_METADATA_PATH, 'Hindustani_Music_Rhythm_Dataset_cut/HMR_1.0/audio')
|
| 820 |
+
|
| 821 |
+
scp_data = []
|
| 822 |
+
|
| 823 |
+
for file_name in os.listdir(base_dir):
|
| 824 |
+
if file_name.endswith('.wav'):
|
| 825 |
+
element1 = f"{datasetname}_{file_name[:-4]}"
|
| 826 |
+
element2 = f"{TRAIN_PATH}{datasetname}/Hindustani_Music_Rhythm_Dataset_cut/HMR_1.0/audio/{file_name}"
|
| 827 |
+
scp_data.append(f"{element1} {element2}")
|
| 828 |
+
|
| 829 |
+
with open(scp_file_path, 'w', encoding='utf-8') as scp_file:
|
| 830 |
+
for line in scp_data:
|
| 831 |
+
scp_file.write(line + '\n')
|
| 832 |
+
|
| 833 |
+
def generate_Hindustani_Music_Rhythm_Dataset_with_prompt_sft_data(DATABASE_PATH, SAVE_PATH, DOWNLOAD_METADATA_PATH):
|
| 834 |
+
|
| 835 |
+
excel_file = os.path.join(DATABASE_PATH, 'Hindustani_Music_Rhythm_Dataset/HMR_1.0/HMDf.xlsx')
|
| 836 |
+
meter_path = os.path.join(DATABASE_PATH, 'Hindustani_Music_Rhythm_Dataset/HMR_1.0/annotations/meter')
|
| 837 |
+
audio_path = os.path.join(DATABASE_PATH, 'Hindustani_Music_Rhythm_Dataset/HMR_1.0/audio')
|
| 838 |
+
output_file_path = os.path.join(SAVE_PATH, 'sft_data-128_Compmusic-Hindustani_Music_Rhythm_Dataset_with_prompt-text2music_generation.jsonl')
|
| 839 |
+
cut_path = os.path.join(DOWNLOAD_METADATA_PATH, 'Hindustani_Music_Rhythm_Dataset_cut/HMR_1.0/audio')
|
| 840 |
+
|
| 841 |
+
hmdf_df = pd.read_excel(excel_file, sheet_name='HMDf')
|
| 842 |
+
|
| 843 |
+
with open(output_file_path, 'w', encoding='utf-8') as jsonl_file:
|
| 844 |
+
for _, row in hmdf_df.iterrows():
|
| 845 |
+
song_name = row['Name']
|
| 846 |
+
raga_value = row['Raag']
|
| 847 |
+
instrument_value = Hindustani_instrument_dic[row['Instrument Code']]
|
| 848 |
+
taal_value = row['Taal']
|
| 849 |
+
tempo_value = row['Corrected Lay Label']
|
| 850 |
+
|
| 851 |
+
meter_value = ''
|
| 852 |
+
for meter_file in os.listdir(meter_path):
|
| 853 |
+
if song_name in meter_file:
|
| 854 |
+
with open(os.path.join(meter_path, meter_file), 'r') as mf:
|
| 855 |
+
meter_value = mf.read().strip()
|
| 856 |
+
break
|
| 857 |
+
|
| 858 |
+
wav_name = ''
|
| 859 |
+
for wav_file in os.listdir(audio_path):
|
| 860 |
+
if song_name in wav_file:
|
| 861 |
+
wav_name = wav_file
|
| 862 |
+
break
|
| 863 |
+
|
| 864 |
+
data_item = data_sample
|
| 865 |
+
if raga_value != '…':
|
| 866 |
+
data_item["input"] = (f'This Hindustani Music piece is based on the raga {raga_value} and is performed at a {tempo_value} lay. '
|
| 867 |
+
f'It features the {instrument_value} as the main instrument. It has Tabla as the percussion accompaniment. '
|
| 868 |
+
f'The piece follows the Tāl {taal_value}, with a meter of {meter_value}. \n ')
|
| 869 |
+
else:
|
| 870 |
+
data_item["input"] = (f'This Hindustani Music piece is performed at a {tempo_value} lay. '
|
| 871 |
+
f'It features the {instrument_value} as the main instrument. It has Tabla as the percussion accompaniment. '
|
| 872 |
+
f'The piece follows the Tāl {taal_value}, with a meter of {meter_value}. \n ')
|
| 873 |
+
|
| 874 |
+
for file in os.listdir(cut_path):
|
| 875 |
+
if wav_name != '':
|
| 876 |
+
if wav_name[:-4] in file:
|
| 877 |
+
data_spe = data_item.copy()
|
| 878 |
+
data_spe["input"] += f'audio prompt: <|SOA|>{datasetname}_{file[:-4]}_prompt<|EOA|> \n'
|
| 879 |
+
data_spe["output"] = f'audio: <|SOA|>{datasetname}_{file[:-4]}<|EOA|>\n'
|
| 880 |
+
data_spe["split"] = ["test"]
|
| 881 |
+
data_uuid = generate_uuid(data_spe, datasetname)
|
| 882 |
+
data_spe['uuid'] = data_uuid
|
| 883 |
+
|
| 884 |
+
jsonl_file.write(json.dumps(data_spe, ensure_ascii=False) + '\n')
|
| 885 |
+
|
| 886 |
+
def generate_Hindustani_Music_Rhythm_Dataset_with_prompt_scp(SAVE_PATH, DOWNLOAD_METADATA_PATH, TRAIN_PATH):
|
| 887 |
+
|
| 888 |
+
scp_file_path = os.path.join(SAVE_PATH, 'audioid2path-Hindustani_Music_Rhythm_Dataset_with_prompt.scp')
|
| 889 |
+
|
| 890 |
+
base_dir = os.path.join(DOWNLOAD_METADATA_PATH, 'Hindustani_Music_Rhythm_Dataset_cut/HMR_1.0/audio')
|
| 891 |
+
prompt_base_dir = os.path.join(DOWNLOAD_METADATA_PATH, 'Hindustani_Music_Rhythm_Dataset_cut_prompt/HMR_1.0/audio')
|
| 892 |
+
|
| 893 |
+
scp_data = []
|
| 894 |
+
|
| 895 |
+
for file_name in os.listdir(base_dir):
|
| 896 |
+
if file_name.endswith('.wav'):
|
| 897 |
+
element1 = f"{datasetname}_{file_name[:-4]}"
|
| 898 |
+
element2 = f"{TRAIN_PATH}{datasetname}/Hindustani_Music_Rhythm_Dataset_cut/HMR_1.0/audio/{file_name}"
|
| 899 |
+
scp_data.append(f"{element1} {element2}")
|
| 900 |
+
|
| 901 |
+
for file_name in os.listdir(prompt_base_dir):
|
| 902 |
+
if file_name.endswith('.wav'):
|
| 903 |
+
element1 = f"{datasetname}_{file_name[:-4]}"
|
| 904 |
+
element2 = f"{TRAIN_PATH}{datasetname}/Hindustani_Music_Rhythm_Dataset_cut_prompt/HMR_1.0/audio/{file_name}"
|
| 905 |
+
scp_data.append(f"{element1} {element2}")
|
| 906 |
+
|
| 907 |
+
with open(scp_file_path, 'w', encoding='utf-8') as scp_file:
|
| 908 |
+
for line in scp_data:
|
| 909 |
+
scp_file.write(line + '\n')
|
| 910 |
+
|
| 911 |
+
def generate_Arab_Andalusian_Dataset_sft_data(DATABASE_PATH, SAVE_PATH, DOWNLOAD_METADATA_PATH):
|
| 912 |
+
|
| 913 |
+
json_path = os.path.join(DATABASE_PATH, 'Arab-Andalusian_Music_Corpus/ArabAndalusianDataset/andalusian_description.json')
|
| 914 |
+
json_folder_path = os.path.join(DATABASE_PATH, 'Arab-Andalusian_Music_Corpus/Sanas_v2/data/transliterated/json')
|
| 915 |
+
output_file_path = os.path.join(SAVE_PATH, 'sft_data-128_Compmusic-Arab_Andalusian_Dataset-text2music_generation.jsonl')
|
| 916 |
+
cut_path = os.path.join(DOWNLOAD_METADATA_PATH, 'Arab-Andalusian_Music_Corpus_cut/audio')
|
| 917 |
+
with open(json_path, 'r', encoding='utf-8') as f:
|
| 918 |
+
data = json.load(f)
|
| 919 |
+
|
| 920 |
+
output_lines = []
|
| 921 |
+
|
| 922 |
+
for item in data:
|
| 923 |
+
if item["archive_url"] != '':
|
| 924 |
+
mbid = item['mbid']
|
| 925 |
+
|
| 926 |
+
tab_value, nawba_value, form_value, mizan_value = [], [], [], []
|
| 927 |
+
|
| 928 |
+
for section in item.get('sections', []):
|
| 929 |
+
tab_value.append(section['tab'].get('transliterated_name', ''))
|
| 930 |
+
nawba_value.append(section['nawba'].get('transliterated_name', ''))
|
| 931 |
+
form_value.append(section['form'].get('transliterated_name', ''))
|
| 932 |
+
mizan_value.append(section['mizan'].get('transliterated_name', ''))
|
| 933 |
+
|
| 934 |
+
type_value, poem_value = [], []
|
| 935 |
+
mbid_json_path = os.path.join(json_folder_path, f'{mbid}.json')
|
| 936 |
+
|
| 937 |
+
if os.path.exists(mbid_json_path):
|
| 938 |
+
with open(mbid_json_path, 'r', encoding='utf-8') as json_file:
|
| 939 |
+
mbid_data = json.load(json_file)
|
| 940 |
+
for entry in mbid_data:
|
| 941 |
+
type_value.append(entry.get('type', ''))
|
| 942 |
+
poem_value.append(entry.get('poem', ''))
|
| 943 |
+
|
| 944 |
+
tab_value = [v for v in tab_value if v and v != 'unidentified']
|
| 945 |
+
nawba_value = [v for v in nawba_value if v and v != 'unidentified']
|
| 946 |
+
form_value = [v for v in form_value if v and v != 'unidentified']
|
| 947 |
+
mizan_value = [v for v in mizan_value if v and v != 'unidentified']
|
| 948 |
+
type_value = [v for v in type_value if v and v != 'unidentified']
|
| 949 |
+
poem_value = [v for v in poem_value if v and v != 'unidentified']
|
| 950 |
+
|
| 951 |
+
tab_value = list(set(tab_value))
|
| 952 |
+
nawba_value = list(set(nawba_value))
|
| 953 |
+
form_value = list(set(form_value))
|
| 954 |
+
mizan_value = list(set(mizan_value))
|
| 955 |
+
type_value = list(set(type_value))
|
| 956 |
+
poem_value = list(set(poem_value))
|
| 957 |
+
|
| 958 |
+
data_item = data_sample
|
| 959 |
+
data_item["input"] = ''
|
| 960 |
+
|
| 961 |
+
if nawba_value:
|
| 962 |
+
nawba_str = ', '.join(nawba_value[:-1]) + ' and ' + nawba_value[-1] if len(nawba_value) > 1 else nawba_value[0]
|
| 963 |
+
data_item["input"] += f'This is a piece of Arab-Andalusian music in {nawba_str} nawba{"s" if len(nawba_value) > 1 else ""}. '
|
| 964 |
+
if tab_value:
|
| 965 |
+
tab_str = ', '.join(tab_value[:-1]) + ' and ' + tab_value[-1] if len(tab_value) > 1 else tab_value[0]
|
| 966 |
+
data_item["input"] += f'It is set in {tab_str} mode{"s" if len(tab_value) > 1 else ""}. '
|
| 967 |
+
if form_value:
|
| 968 |
+
form_str = ', '.join(form_value[:-1]) + ' and ' + form_value[-1] if len(form_value) > 1 else form_value[0]
|
| 969 |
+
data_item["input"] += f'It includes the musical form{"s" if len(form_value) > 1 else ""} {form_str}, '
|
| 970 |
+
if mizan_value:
|
| 971 |
+
mizan_str = ', '.join(mizan_value[:-1]) + ' and ' + mizan_value[-1] if len(mizan_value) > 1 else mizan_value[0]
|
| 972 |
+
data_item["input"] += f'and is performed with the rhythmic pattern{"s" if len(mizan_value) > 1 else ""} {mizan_str}. '
|
| 973 |
+
|
| 974 |
+
if type_value:
|
| 975 |
+
type_str = ', '.join(type_value[:-1]) + ' and ' + type_value[-1] if len(type_value) > 1 else type_value[0]
|
| 976 |
+
poem_str = ', '.join(poem_value[:-1]) + ' and ' + poem_value[-1] if len(poem_value) > 1 else poem_value[0]
|
| 977 |
+
|
| 978 |
+
data_item["input"] += f'The lyrics form{"s are" if len(type_value) > 1 else "is"} {type_str}, '
|
| 979 |
+
data_item["input"] += f'with {"poem types" if len(poem_value) > 1 else "a poem type"} of {poem_str}. '
|
| 980 |
+
|
| 981 |
+
data_item["input"] += '\n'
|
| 982 |
+
|
| 983 |
+
for file in os.listdir(cut_path):
|
| 984 |
+
if mbid in file:
|
| 985 |
+
data_item["output"] = f'audio: <|SOA|>{datasetname}_{file[:-4]}<|EOA|>\n'
|
| 986 |
+
data_item["split"] = ["train"] if (r := random.uniform(0, 1)) <= 0.8 else ["test"] if r <= 0.9 else ["dev"]
|
| 987 |
+
data_uuid = generate_uuid(data_item, datasetname)
|
| 988 |
+
data_item['uuid'] = data_uuid
|
| 989 |
+
|
| 990 |
+
output_lines.append(json.dumps(data_item, ensure_ascii=False)) # not change to unicode
|
| 991 |
+
|
| 992 |
+
with open(output_file_path, 'w', encoding='utf-8') as f:
|
| 993 |
+
f.write('\n'.join(output_lines))
|
| 994 |
+
|
| 995 |
+
def generate_Arab_Andalusian_Dataset_scp(SAVE_PATH, DOWNLOAD_METADATA_PATH, TRAIN_PATH):
|
| 996 |
+
|
| 997 |
+
scp_file_path = os.path.join(SAVE_PATH, 'audioid2path-Arab_Andalusian_Dataset.scp')
|
| 998 |
+
|
| 999 |
+
base_dir = os.path.join(DOWNLOAD_METADATA_PATH, 'Arab-Andalusian_Music_Corpus_cut/audio')
|
| 1000 |
+
|
| 1001 |
+
scp_data = []
|
| 1002 |
+
|
| 1003 |
+
for file_name in os.listdir(base_dir):
|
| 1004 |
+
if file_name.endswith('.mp3'):
|
| 1005 |
+
element1 = f"{datasetname}_{file_name}"
|
| 1006 |
+
element2 = f"{TRAIN_PATH}{datasetname}/Arab-Andalusian_Music_Corpus_cut/audio/{file_name}"
|
| 1007 |
+
scp_data.append(f"{element1} {element2}")
|
| 1008 |
+
|
| 1009 |
+
with open(scp_file_path, 'w', encoding='utf-8') as scp_file:
|
| 1010 |
+
for line in scp_data:
|
| 1011 |
+
scp_file.write(line + '\n')
|
| 1012 |
+
|
| 1013 |
+
def generate_Arab_Andalusian_Dataset_with_prompt_sft_data(DATABASE_PATH, SAVE_PATH, DOWNLOAD_METADATA_PATH):
|
| 1014 |
+
|
| 1015 |
+
json_path = os.path.join(DATABASE_PATH, 'Arab-Andalusian_Music_Corpus/ArabAndalusianDataset/andalusian_description.json')
|
| 1016 |
+
json_folder_path = os.path.join(DATABASE_PATH, 'Arab-Andalusian_Music_Corpus/Sanas_v2/data/transliterated/json')
|
| 1017 |
+
output_file_path = os.path.join(SAVE_PATH, 'sft_data-128_Compmusic-Arab_Andalusian_Dataset_with_prompt-text2music_generation.jsonl')
|
| 1018 |
+
cut_path = os.path.join(DOWNLOAD_METADATA_PATH, 'Arab-Andalusian_Music_Corpus_cut/audio')
|
| 1019 |
+
with open(json_path, 'r', encoding='utf-8') as f:
|
| 1020 |
+
data = json.load(f)
|
| 1021 |
+
|
| 1022 |
+
output_lines = []
|
| 1023 |
+
|
| 1024 |
+
for item in data:
|
| 1025 |
+
if item["archive_url"] != '':
|
| 1026 |
+
mbid = item['mbid']
|
| 1027 |
+
|
| 1028 |
+
tab_value, nawba_value, form_value, mizan_value = [], [], [], []
|
| 1029 |
+
|
| 1030 |
+
for section in item.get('sections', []):
|
| 1031 |
+
tab_value.append(section['tab'].get('transliterated_name', ''))
|
| 1032 |
+
nawba_value.append(section['nawba'].get('transliterated_name', ''))
|
| 1033 |
+
form_value.append(section['form'].get('transliterated_name', ''))
|
| 1034 |
+
mizan_value.append(section['mizan'].get('transliterated_name', ''))
|
| 1035 |
+
|
| 1036 |
+
type_value, poem_value = [], []
|
| 1037 |
+
mbid_json_path = os.path.join(json_folder_path, f'{mbid}.json')
|
| 1038 |
+
|
| 1039 |
+
if os.path.exists(mbid_json_path):
|
| 1040 |
+
with open(mbid_json_path, 'r', encoding='utf-8') as json_file:
|
| 1041 |
+
mbid_data = json.load(json_file)
|
| 1042 |
+
for entry in mbid_data:
|
| 1043 |
+
type_value.append(entry.get('type', ''))
|
| 1044 |
+
poem_value.append(entry.get('poem', ''))
|
| 1045 |
+
|
| 1046 |
+
tab_value = [v for v in tab_value if v and v != 'unidentified']
|
| 1047 |
+
nawba_value = [v for v in nawba_value if v and v != 'unidentified']
|
| 1048 |
+
form_value = [v for v in form_value if v and v != 'unidentified']
|
| 1049 |
+
mizan_value = [v for v in mizan_value if v and v != 'unidentified']
|
| 1050 |
+
type_value = [v for v in type_value if v and v != 'unidentified']
|
| 1051 |
+
poem_value = [v for v in poem_value if v and v != 'unidentified']
|
| 1052 |
+
|
| 1053 |
+
tab_value = list(set(tab_value))
|
| 1054 |
+
nawba_value = list(set(nawba_value))
|
| 1055 |
+
form_value = list(set(form_value))
|
| 1056 |
+
mizan_value = list(set(mizan_value))
|
| 1057 |
+
type_value = list(set(type_value))
|
| 1058 |
+
poem_value = list(set(poem_value))
|
| 1059 |
+
|
| 1060 |
+
data_item = data_sample
|
| 1061 |
+
data_item["input"] = ''
|
| 1062 |
+
|
| 1063 |
+
if nawba_value:
|
| 1064 |
+
nawba_str = ', '.join(nawba_value[:-1]) + ' and ' + nawba_value[-1] if len(nawba_value) > 1 else nawba_value[0]
|
| 1065 |
+
data_item["input"] += f'This is a piece of Arab-Andalusian music in {nawba_str} nawba{"s" if len(nawba_value) > 1 else ""}. '
|
| 1066 |
+
if tab_value:
|
| 1067 |
+
tab_str = ', '.join(tab_value[:-1]) + ' and ' + tab_value[-1] if len(tab_value) > 1 else tab_value[0]
|
| 1068 |
+
data_item["input"] += f'It is set in {tab_str} mode{"s" if len(tab_value) > 1 else ""}. '
|
| 1069 |
+
if form_value:
|
| 1070 |
+
form_str = ', '.join(form_value[:-1]) + ' and ' + form_value[-1] if len(form_value) > 1 else form_value[0]
|
| 1071 |
+
data_item["input"] += f'It includes the musical form{"s" if len(form_value) > 1 else ""} {form_str}, '
|
| 1072 |
+
if mizan_value:
|
| 1073 |
+
mizan_str = ', '.join(mizan_value[:-1]) + ' and ' + mizan_value[-1] if len(mizan_value) > 1 else mizan_value[0]
|
| 1074 |
+
data_item["input"] += f'and is performed with the rhythmic pattern{"s" if len(mizan_value) > 1 else ""} {mizan_str}. '
|
| 1075 |
+
|
| 1076 |
+
if type_value:
|
| 1077 |
+
type_str = ', '.join(type_value[:-1]) + ' and ' + type_value[-1] if len(type_value) > 1 else type_value[0]
|
| 1078 |
+
poem_str = ', '.join(poem_value[:-1]) + ' and ' + poem_value[-1] if len(poem_value) > 1 else poem_value[0]
|
| 1079 |
+
|
| 1080 |
+
data_item["input"] += f'The lyrics form{"s are" if len(type_value) > 1 else "is"} {type_str}, '
|
| 1081 |
+
data_item["input"] += f'with {"poem types" if len(poem_value) > 1 else "a poem type"} of {poem_str}. '
|
| 1082 |
+
|
| 1083 |
+
data_item["input"] += '\n '
|
| 1084 |
+
|
| 1085 |
+
for file in os.listdir(cut_path):
|
| 1086 |
+
if mbid in file:
|
| 1087 |
+
data_spe = data_item.copy()
|
| 1088 |
+
data_spe["input"] += f'audio prompt: <|SOA|>{datasetname}_{file[:-4]}_prompt<|EOA|> \n'
|
| 1089 |
+
data_spe["output"] = f'audio: <|SOA|>{datasetname}_{file[:-4]}<|EOA|>\n'
|
| 1090 |
+
data_spe["split"] = ["train"] if (r := random.uniform(0, 1)) <= 0.8 else ["test"] if r <= 0.9 else ["dev"]
|
| 1091 |
+
data_uuid = generate_uuid(data_spe, datasetname)
|
| 1092 |
+
data_spe['uuid'] = data_uuid
|
| 1093 |
+
|
| 1094 |
+
output_lines.append(json.dumps(data_spe, ensure_ascii=False)) # not change to unicode
|
| 1095 |
+
|
| 1096 |
+
with open(output_file_path, 'w', encoding='utf-8') as f:
|
| 1097 |
+
f.write('\n'.join(output_lines))
|
| 1098 |
+
|
| 1099 |
+
def generate_Arab_Andalusian_Dataset_with_prompt_scp(SAVE_PATH, DOWNLOAD_METADATA_PATH, TRAIN_PATH):
|
| 1100 |
+
|
| 1101 |
+
scp_file_path = os.path.join(SAVE_PATH, 'audioid2path-Arab_Andalusian_Dataset_with_prompt.scp')
|
| 1102 |
+
|
| 1103 |
+
base_dir = os.path.join(DOWNLOAD_METADATA_PATH, 'Arab-Andalusian_Music_Corpus_cut/audio')
|
| 1104 |
+
prompt_base_dir = os.path.join(DOWNLOAD_METADATA_PATH, 'Arab-Andalusian_Music_Corpus_cut_prompt/audio')
|
| 1105 |
+
|
| 1106 |
+
scp_data = []
|
| 1107 |
+
|
| 1108 |
+
for file_name in os.listdir(base_dir):
|
| 1109 |
+
if file_name.endswith('.mp3'):
|
| 1110 |
+
element1 = f"{datasetname}_{file_name}"
|
| 1111 |
+
element2 = f"{TRAIN_PATH}{datasetname}/Arab-Andalusian_Music_Corpus_cut/audio/{file_name}"
|
| 1112 |
+
scp_data.append(f"{element1} {element2}")
|
| 1113 |
+
|
| 1114 |
+
for file_name in os.listdir(prompt_base_dir):
|
| 1115 |
+
if file_name.endswith('.mp3'):
|
| 1116 |
+
element1 = f"{datasetname}_{file_name}"
|
| 1117 |
+
element2 = f"{TRAIN_PATH}{datasetname}/Arab-Andalusian_Music_Corpus_cut_prompt/audio/{file_name}"
|
| 1118 |
+
scp_data.append(f"{element1} {element2}")
|
| 1119 |
+
|
| 1120 |
+
with open(scp_file_path, 'w', encoding='utf-8') as scp_file:
|
| 1121 |
+
for line in scp_data:
|
| 1122 |
+
scp_file.write(line + '\n')
|
| 1123 |
+
|
| 1124 |
+
def generate_Jingju_A_Cappella_Singing_Audio_Extended_Dataset_part3_sft_data(DATABASE_PATH, SAVE_PATH, DOWNLOAD_METADATA_PATH):
|
| 1125 |
+
|
| 1126 |
+
ods_file_path = os.path.join(DATABASE_PATH, 'Jingju_A_Cappella_Singing_Audio_Extended_Dataset/part3/arias.ods')
|
| 1127 |
+
wav_base_path = os.path.join(DATABASE_PATH, 'Jingju_A_Cappella_Singing_Audio_Extended_Dataset/part3/wav_left')
|
| 1128 |
+
save_file_path = os.path.join(SAVE_PATH, 'sft_data-128_Compmusic-Jingju_A_Cappella_Singing_Audio_Extended_Dataset_part3-text2music_generation.jsonl')
|
| 1129 |
+
cut_path = os.path.join(DOWNLOAD_METADATA_PATH, 'Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left')
|
| 1130 |
+
|
| 1131 |
+
ods_data = ezodf.opendoc(ods_file_path)
|
| 1132 |
+
|
| 1133 |
+
sft_data_list = []
|
| 1134 |
+
|
| 1135 |
+
pathname = ''
|
| 1136 |
+
uniquework = ''
|
| 1137 |
+
for sheet in ods_data.sheets:
|
| 1138 |
+
for row_idx, row in enumerate(sheet.rows()):
|
| 1139 |
+
if row_idx == 0:
|
| 1140 |
+
continue
|
| 1141 |
+
|
| 1142 |
+
pathname_cell = row[0].value
|
| 1143 |
+
uniquework_cell = row[1].value
|
| 1144 |
+
filename_cell = row[2].value
|
| 1145 |
+
roletype = row[5].value
|
| 1146 |
+
shengqiang = row[6].value
|
| 1147 |
+
banshi = row[7].value
|
| 1148 |
+
|
| 1149 |
+
if pathname_cell is not None:
|
| 1150 |
+
pathname = pathname_cell
|
| 1151 |
+
if uniquework_cell is not None:
|
| 1152 |
+
uniquework = uniquework_cell
|
| 1153 |
+
if filename_cell is not None:
|
| 1154 |
+
filename = filename_cell.lower()
|
| 1155 |
+
else:
|
| 1156 |
+
continue
|
| 1157 |
+
|
| 1158 |
+
if (uniquework == 'daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo' or uniquework == 'daxp-Jiao_zhang_sheng-Xi_shi-qianmen') and 'student' in filename:
|
| 1159 |
+
# specially used for dealing with the mismatch between dataset and wav name
|
| 1160 |
+
filename = re.sub(r'(?<=\D)(?=\d)', '_', filename)
|
| 1161 |
+
|
| 1162 |
+
wav_file_path = os.path.join(wav_base_path, pathname, uniquework, f'{filename}.wav')
|
| 1163 |
+
if not os.path.exists(wav_file_path):
|
| 1164 |
+
continue
|
| 1165 |
+
data_item = data_sample.copy()
|
| 1166 |
+
data_item["input"] = 'This is a jingju a cappella singing aria. '
|
| 1167 |
+
|
| 1168 |
+
if roletype and shengqiang:
|
| 1169 |
+
data_item["input"] += f'The role type in it is called {roletype} and the Shengqiang used for it is {shengqiang}. '
|
| 1170 |
+
if banshi != '--' and banshi is not None:
|
| 1171 |
+
banshi_values = []
|
| 1172 |
+
for b in re.split('[,;]', banshi):
|
| 1173 |
+
banshi_values.append(b.replace(' ',''))
|
| 1174 |
+
banshi_str = ' and '.join(banshi_values) if len(banshi_values) > 1 else banshi_values[0]
|
| 1175 |
+
data_item["input"] += f'The Banshi includes {banshi_str}. '
|
| 1176 |
+
data_item["input"] += '\n'
|
| 1177 |
+
|
| 1178 |
+
uniquework_cut_path = os.path.join(cut_path, pathname, uniquework)
|
| 1179 |
+
|
| 1180 |
+
for file in os.listdir(uniquework_cut_path):
|
| 1181 |
+
if filename == file[:-6]:
|
| 1182 |
+
data_spe = data_item.copy()
|
| 1183 |
+
data_spe["output"] = f'audio: <|SOA|>{datasetname}_{pathname}_{uniquework}_{file}<|EOA|>\n'
|
| 1184 |
+
data_spe["split"] = ["test"]
|
| 1185 |
+
data_uuid = generate_uuid(data_spe, datasetname)
|
| 1186 |
+
data_spe['uuid'] = data_uuid
|
| 1187 |
+
|
| 1188 |
+
sft_data_list.append(data_spe)
|
| 1189 |
+
|
| 1190 |
+
with open(save_file_path, 'w') as f:
|
| 1191 |
+
for item in sft_data_list:
|
| 1192 |
+
f.write(json.dumps(item) + '\n')
|
| 1193 |
+
|
| 1194 |
+
def generate_Jingju_A_Cappella_Singing_Audio_Extended_Dataset_part3_scp(SAVE_PATH, DOWNLOAD_METADATA_PATH, TRAIN_PATH):
|
| 1195 |
+
|
| 1196 |
+
scp_file_path = os.path.join(SAVE_PATH, 'audioid2path-Jingju_A_Cappella_Singing_Audio_Extended_Dataset_part3.scp')
|
| 1197 |
+
|
| 1198 |
+
base_dir = os.path.join(DOWNLOAD_METADATA_PATH, 'Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left')
|
| 1199 |
+
|
| 1200 |
+
scp_data = []
|
| 1201 |
+
|
| 1202 |
+
|
| 1203 |
+
for root, dirs, files in os.walk(base_dir):
|
| 1204 |
+
for file in files:
|
| 1205 |
+
if file.endswith('.wav'):
|
| 1206 |
+
full_path = os.path.join(root, file)
|
| 1207 |
+
|
| 1208 |
+
relative_path = full_path.split('wav_left/')[-1]
|
| 1209 |
+
|
| 1210 |
+
processed_name = relative_path.replace('/', '_')
|
| 1211 |
+
|
| 1212 |
+
element1 = f"{datasetname}_{processed_name[:-4]}"
|
| 1213 |
+
element2 = f"{TRAIN_PATH}{datasetname}{full_path.split('128_Compmusic')[-1]}"
|
| 1214 |
+
scp_data.append(f"{element1} {element2}")
|
| 1215 |
+
|
| 1216 |
+
with open(scp_file_path, 'w', encoding='utf-8') as scp_file:
|
| 1217 |
+
for line in scp_data:
|
| 1218 |
+
scp_file.write(line + '\n')
|
| 1219 |
+
|
| 1220 |
+
def generate_Jingju_A_Cappella_Singing_Audio_Extended_Dataset_part3_with_prompt_sft_data(DATABASE_PATH, SAVE_PATH, DOWNLOAD_METADATA_PATH):
|
| 1221 |
+
|
| 1222 |
+
ods_file_path = os.path.join(DATABASE_PATH, 'Jingju_A_Cappella_Singing_Audio_Extended_Dataset/part3/arias.ods')
|
| 1223 |
+
wav_base_path = os.path.join(DATABASE_PATH, 'Jingju_A_Cappella_Singing_Audio_Extended_Dataset/part3/wav_left')
|
| 1224 |
+
save_file_path = os.path.join(SAVE_PATH, 'sft_data-128_Compmusic-Jingju_A_Cappella_Singing_Audio_Extended_Dataset_part3_with_prompt-text2music_generation.jsonl')
|
| 1225 |
+
cut_path = os.path.join(DOWNLOAD_METADATA_PATH, 'Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left')
|
| 1226 |
+
|
| 1227 |
+
ods_data = ezodf.opendoc(ods_file_path)
|
| 1228 |
+
|
| 1229 |
+
sft_data_list = []
|
| 1230 |
+
|
| 1231 |
+
pathname = ''
|
| 1232 |
+
uniquework = ''
|
| 1233 |
+
for sheet in ods_data.sheets:
|
| 1234 |
+
for row_idx, row in enumerate(sheet.rows()):
|
| 1235 |
+
if row_idx == 0:
|
| 1236 |
+
continue
|
| 1237 |
+
|
| 1238 |
+
pathname_cell = row[0].value
|
| 1239 |
+
uniquework_cell = row[1].value
|
| 1240 |
+
filename_cell = row[2].value
|
| 1241 |
+
roletype = row[5].value
|
| 1242 |
+
shengqiang = row[6].value
|
| 1243 |
+
banshi = row[7].value
|
| 1244 |
+
|
| 1245 |
+
if pathname_cell is not None:
|
| 1246 |
+
pathname = pathname_cell
|
| 1247 |
+
if uniquework_cell is not None:
|
| 1248 |
+
uniquework = uniquework_cell
|
| 1249 |
+
if filename_cell is not None:
|
| 1250 |
+
filename = filename_cell.lower()
|
| 1251 |
+
else:
|
| 1252 |
+
continue
|
| 1253 |
+
|
| 1254 |
+
if (uniquework == 'daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo' or uniquework == 'daxp-Jiao_zhang_sheng-Xi_shi-qianmen') and 'student' in filename:
|
| 1255 |
+
# specially used for dealing with the mismatch between dataset and wav name
|
| 1256 |
+
filename = re.sub(r'(?<=\D)(?=\d)', '_', filename)
|
| 1257 |
+
|
| 1258 |
+
wav_file_path = os.path.join(wav_base_path, pathname, uniquework, f'{filename}.wav')
|
| 1259 |
+
if not os.path.exists(wav_file_path):
|
| 1260 |
+
continue
|
| 1261 |
+
data_item = data_sample.copy()
|
| 1262 |
+
data_item["input"] = 'This is a jingju a cappella singing aria. '
|
| 1263 |
+
|
| 1264 |
+
if roletype and shengqiang:
|
| 1265 |
+
data_item["input"] += f'The role type in it is called {roletype} and the Shengqiang used for it is {shengqiang}. '
|
| 1266 |
+
if banshi != '--' and banshi is not None:
|
| 1267 |
+
banshi_values = []
|
| 1268 |
+
for b in re.split('[,;]', banshi):
|
| 1269 |
+
banshi_values.append(b.replace(' ',''))
|
| 1270 |
+
banshi_str = ' and '.join(banshi_values) if len(banshi_values) > 1 else banshi_values[0]
|
| 1271 |
+
data_item["input"] += f'The Banshi includes {banshi_str}. '
|
| 1272 |
+
data_item["input"] += '\n '
|
| 1273 |
+
|
| 1274 |
+
uniquework_cut_path = os.path.join(cut_path, pathname, uniquework)
|
| 1275 |
+
|
| 1276 |
+
for file in os.listdir(uniquework_cut_path):
|
| 1277 |
+
if filename == file[:-6]:
|
| 1278 |
+
data_spe = data_item.copy()
|
| 1279 |
+
data_spe["input"] += f'audio prompt: <|SOA|>{datasetname}_{pathname}_{uniquework}_{file}_prompt<|EOA|> \n'
|
| 1280 |
+
data_spe["output"] = f'audio: <|SOA|>{datasetname}_{pathname}_{uniquework}_{file}<|EOA|>\n'
|
| 1281 |
+
data_spe["split"] = ["test"]
|
| 1282 |
+
data_uuid = generate_uuid(data_spe, datasetname)
|
| 1283 |
+
data_spe['uuid'] = data_uuid
|
| 1284 |
+
|
| 1285 |
+
sft_data_list.append(data_spe)
|
| 1286 |
+
|
| 1287 |
+
with open(save_file_path, 'w') as f:
|
| 1288 |
+
for item in sft_data_list:
|
| 1289 |
+
f.write(json.dumps(item) + '\n')
|
| 1290 |
+
|
| 1291 |
+
def generate_Jingju_A_Cappella_Singing_Audio_Extended_Dataset_part3_with_prompt_scp(SAVE_PATH, DOWNLOAD_METADATA_PATH, TRAIN_PATH):
|
| 1292 |
+
|
| 1293 |
+
scp_file_path = os.path.join(SAVE_PATH, 'audioid2path-Jingju_A_Cappella_Singing_Audio_Extended_Dataset_part3_with_prompt.scp')
|
| 1294 |
+
|
| 1295 |
+
base_dir = os.path.join(DOWNLOAD_METADATA_PATH, 'Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left')
|
| 1296 |
+
prompt_base_dir = os.path.join(DOWNLOAD_METADATA_PATH, 'Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut_prompt/part3/wav_left')
|
| 1297 |
+
|
| 1298 |
+
scp_data = []
|
| 1299 |
+
|
| 1300 |
+
for root, dirs, files in os.walk(base_dir):
|
| 1301 |
+
for file in files:
|
| 1302 |
+
if file.endswith('.wav'):
|
| 1303 |
+
full_path = os.path.join(root, file)
|
| 1304 |
+
|
| 1305 |
+
relative_path = full_path.split('wav_left/')[-1]
|
| 1306 |
+
|
| 1307 |
+
processed_name = relative_path.replace('/', '_')
|
| 1308 |
+
|
| 1309 |
+
element1 = f"{datasetname}_{processed_name[:-4]}"
|
| 1310 |
+
element2 = f"{TRAIN_PATH}{datasetname}{full_path.split('128_Compmusic')[-1]}"
|
| 1311 |
+
scp_data.append(f"{element1} {element2}")
|
| 1312 |
+
|
| 1313 |
+
for root, dirs, files in os.walk(prompt_base_dir):
|
| 1314 |
+
for file in files:
|
| 1315 |
+
if file.endswith('.wav'):
|
| 1316 |
+
full_path = os.path.join(root, file)
|
| 1317 |
+
|
| 1318 |
+
relative_path = full_path.split('wav_left/')[-1]
|
| 1319 |
+
|
| 1320 |
+
processed_name = relative_path.replace('/', '_')
|
| 1321 |
+
|
| 1322 |
+
element1 = f"{datasetname}_{processed_name[:-4]}"
|
| 1323 |
+
element2 = f"{TRAIN_PATH}{datasetname}{full_path.split('128_Compmusic')[-1]}"
|
| 1324 |
+
scp_data.append(f"{element1} {element2}")
|
| 1325 |
+
|
| 1326 |
+
with open(scp_file_path, 'w', encoding='utf-8') as scp_file:
|
| 1327 |
+
for line in scp_data:
|
| 1328 |
+
scp_file.write(line + '\n')
|
| 1329 |
+
|
| 1330 |
+
def generate_Jingju_Audio_Recordings_Collection_sft_data(DOWNLOAD_METADATA_PATH, SAVE_PATH):
|
| 1331 |
+
|
| 1332 |
+
jingju_metadata_dir = os.path.join(DOWNLOAD_METADATA_PATH, 'Jingju_Audio_Recordings_Collection_metadata')
|
| 1333 |
+
jingju_cut_dir = os.path.join(DOWNLOAD_METADATA_PATH, 'Jingju_Audio_Recordings_Collection_cut')
|
| 1334 |
+
output_file = os.path.join(SAVE_PATH, 'sft_data-128_Compmusic-Jingju_Audio_Recordings_Collection-text2music_generation.jsonl')
|
| 1335 |
+
|
| 1336 |
+
result_list = []
|
| 1337 |
+
|
| 1338 |
+
for folder_name in os.listdir(jingju_metadata_dir):
|
| 1339 |
+
folder_path = os.path.join(jingju_metadata_dir, folder_name)
|
| 1340 |
+
with open(folder_path, 'r', encoding='utf-8') as f:
|
| 1341 |
+
data = json.load(f)
|
| 1342 |
+
|
| 1343 |
+
for file_name, tags in data.items():
|
| 1344 |
+
english_tags = [tag for tag in tags if all(c.isascii() for c in tag)]
|
| 1345 |
+
if not english_tags:
|
| 1346 |
+
continue
|
| 1347 |
+
|
| 1348 |
+
split_tags = list(set(sum([tag.split() for tag in english_tags], [])))
|
| 1349 |
+
|
| 1350 |
+
folder_cut_path = os.path.join(jingju_cut_dir, folder_name.replace('.json', ''))
|
| 1351 |
+
if not os.path.exists(folder_cut_path):
|
| 1352 |
+
continue
|
| 1353 |
+
|
| 1354 |
+
matching_files = [file for file in os.listdir(folder_cut_path) if file_name in file and file.endswith('.flac')]
|
| 1355 |
+
if not matching_files:
|
| 1356 |
+
continue
|
| 1357 |
+
|
| 1358 |
+
tag_string = ', '.join(split_tags[:-1]) + ' and ' + split_tags[-1] if len(split_tags) > 1 else split_tags[0]
|
| 1359 |
+
|
| 1360 |
+
for file_name_part in matching_files:
|
| 1361 |
+
|
| 1362 |
+
data_item = data_sample.copy()
|
| 1363 |
+
data_item["input"] = f'This is a recording of a Jingju aria, featuring the Shengqiang and Banshi pattern of {tag_string}. \n'
|
| 1364 |
+
data_item["output"] = f"audio: <|SOA|>{datasetname}_{file_name_part[:-5]}<|EOA|>\n"
|
| 1365 |
+
data_item["source"] = ["studio"]
|
| 1366 |
+
|
| 1367 |
+
data_uuid = generate_uuid(data_item, datasetname)
|
| 1368 |
+
data_item['uuid'] = data_uuid
|
| 1369 |
+
|
| 1370 |
+
result_list.append(data_item)
|
| 1371 |
+
|
| 1372 |
+
splits = generate_random_splits(result_list)
|
| 1373 |
+
for idx, data_item in enumerate(result_list):
|
| 1374 |
+
data_item["split"] = [splits[idx]]
|
| 1375 |
+
|
| 1376 |
+
with open(output_file, 'w', encoding='utf-8') as f:
|
| 1377 |
+
for data_item in result_list:
|
| 1378 |
+
f.write(json.dumps(data_item, ensure_ascii=False) + '\n')
|
| 1379 |
+
|
| 1380 |
+
def generate_Jingju_Audio_Recordings_Collection_scp(DOWNLOAD_METADATA_PATH, SAVE_PATH, TRAIN_PATH):
|
| 1381 |
+
|
| 1382 |
+
scp_file_path = os.path.join(SAVE_PATH, 'audioid2path-Jingju_Audio_Recordings_Collection.scp')
|
| 1383 |
+
|
| 1384 |
+
base_dir = os.path.join(DOWNLOAD_METADATA_PATH, 'Jingju_Audio_Recordings_Collection_cut')
|
| 1385 |
+
|
| 1386 |
+
scp_data = []
|
| 1387 |
+
|
| 1388 |
+
for root, _, files in os.walk(base_dir):
|
| 1389 |
+
for file_name in files:
|
| 1390 |
+
if file_name.endswith('.flac'):
|
| 1391 |
+
full_path = os.path.join(root, file_name)
|
| 1392 |
+
relative_path = full_path.split('Jingju_Audio_Recordings_Collection_cut/')[-1]
|
| 1393 |
+
|
| 1394 |
+
element1 = f"{datasetname}_{file_name[:-5]}"
|
| 1395 |
+
element2 = f"{TRAIN_PATH}{datasetname}/Jingju_Audio_Recordings_Collection_cut/{relative_path}"
|
| 1396 |
+
scp_data.append(f"{element1} {element2}")
|
| 1397 |
+
|
| 1398 |
+
with open(scp_file_path, 'w', encoding='utf-8') as scp_file:
|
| 1399 |
+
for line in scp_data:
|
| 1400 |
+
scp_file.write(line + '\n')
|
| 1401 |
+
|
| 1402 |
+
def generate_Jingju_Audio_Recordings_Collection_with_prompt_sft_data(DOWNLOAD_METADATA_PATH, SAVE_PATH):
|
| 1403 |
+
|
| 1404 |
+
jingju_metadata_dir = os.path.join(DOWNLOAD_METADATA_PATH, 'Jingju_Audio_Recordings_Collection_metadata')
|
| 1405 |
+
jingju_cut_dir = os.path.join(DOWNLOAD_METADATA_PATH, 'Jingju_Audio_Recordings_Collection_cut')
|
| 1406 |
+
output_file = os.path.join(SAVE_PATH, 'sft_data-128_Compmusic-Jingju_Audio_Recordings_Collection_with_prompt-text2music_generation.jsonl')
|
| 1407 |
+
|
| 1408 |
+
result_list = []
|
| 1409 |
+
|
| 1410 |
+
for folder_name in os.listdir(jingju_metadata_dir):
|
| 1411 |
+
folder_path = os.path.join(jingju_metadata_dir, folder_name)
|
| 1412 |
+
with open(folder_path, 'r', encoding='utf-8') as f:
|
| 1413 |
+
data = json.load(f)
|
| 1414 |
+
|
| 1415 |
+
for file_name, tags in data.items():
|
| 1416 |
+
english_tags = [tag for tag in tags if all(c.isascii() for c in tag)]
|
| 1417 |
+
if not english_tags:
|
| 1418 |
+
continue
|
| 1419 |
+
|
| 1420 |
+
split_tags = list(set(sum([tag.split() for tag in english_tags], [])))
|
| 1421 |
+
|
| 1422 |
+
folder_cut_path = os.path.join(jingju_cut_dir, folder_name.replace('.json', ''))
|
| 1423 |
+
if not os.path.exists(folder_cut_path):
|
| 1424 |
+
continue
|
| 1425 |
+
|
| 1426 |
+
matching_files = [file for file in os.listdir(folder_cut_path) if file_name in file and file.endswith('.flac')]
|
| 1427 |
+
if not matching_files:
|
| 1428 |
+
continue
|
| 1429 |
+
|
| 1430 |
+
tag_string = ', '.join(split_tags[:-1]) + ' and ' + split_tags[-1] if len(split_tags) > 1 else split_tags[0]
|
| 1431 |
+
|
| 1432 |
+
for file_name_part in matching_files:
|
| 1433 |
+
|
| 1434 |
+
data_item = data_sample.copy()
|
| 1435 |
+
data_item["input"] = (
|
| 1436 |
+
f'This is a recording of a Jingju aria, featuring the Shengqiang and Banshi pattern of {tag_string}. \n '
|
| 1437 |
+
f'audio prompt: <|SOA|>{datasetname}_{file_name_part[:-5]}_prompt<|EOA|> \n'
|
| 1438 |
+
)
|
| 1439 |
+
data_item["output"] = f"audio: <|SOA|>{datasetname}_{file_name_part[:-5]}<|EOA|>\n"
|
| 1440 |
+
data_item["source"] = ["studio"]
|
| 1441 |
+
|
| 1442 |
+
data_uuid = generate_uuid(data_item, datasetname)
|
| 1443 |
+
data_item['uuid'] = data_uuid
|
| 1444 |
+
|
| 1445 |
+
result_list.append(data_item)
|
| 1446 |
+
|
| 1447 |
+
splits = generate_random_splits(result_list)
|
| 1448 |
+
for idx, data_item in enumerate(result_list):
|
| 1449 |
+
data_item["split"] = [splits[idx]]
|
| 1450 |
+
|
| 1451 |
+
with open(output_file, 'w', encoding='utf-8') as f:
|
| 1452 |
+
for data_item in result_list:
|
| 1453 |
+
f.write(json.dumps(data_item, ensure_ascii=False) + '\n')
|
| 1454 |
+
|
| 1455 |
+
def generate_Jingju_Audio_Recordings_Collection_with_prompt_scp(DOWNLOAD_METADATA_PATH, SAVE_PATH, TRAIN_PATH):
|
| 1456 |
+
|
| 1457 |
+
scp_file_path = os.path.join(SAVE_PATH, 'audioid2path-Jingju_Audio_Recordings_Collection_with_prompt.scp')
|
| 1458 |
+
|
| 1459 |
+
base_dir = os.path.join(DOWNLOAD_METADATA_PATH, 'Jingju_Audio_Recordings_Collection_cut')
|
| 1460 |
+
|
| 1461 |
+
prompt_base_dir = os.path.join(DOWNLOAD_METADATA_PATH, 'Jingju_Audio_Recordings_Collection_cut_prompt')
|
| 1462 |
+
|
| 1463 |
+
scp_data = []
|
| 1464 |
+
|
| 1465 |
+
for root, _, files in os.walk(base_dir):
|
| 1466 |
+
for file_name in files:
|
| 1467 |
+
if file_name.endswith('.flac'):
|
| 1468 |
+
full_path = os.path.join(root, file_name)
|
| 1469 |
+
relative_path = full_path.split('Jingju_Audio_Recordings_Collection_cut/')[-1]
|
| 1470 |
+
|
| 1471 |
+
element1 = f"{datasetname}_{file_name[:-5]}"
|
| 1472 |
+
element2 = f"{TRAIN_PATH}{datasetname}/Jingju_Audio_Recordings_Collection_cut/{relative_path}"
|
| 1473 |
+
scp_data.append(f"{element1} {element2}")
|
| 1474 |
+
|
| 1475 |
+
for folder_name in os.listdir(prompt_base_dir):
|
| 1476 |
+
folder_path = os.path.join(prompt_base_dir, folder_name)
|
| 1477 |
+
for file_name in os.listdir(folder_path):
|
| 1478 |
+
if file_name.endswith('.flac'):
|
| 1479 |
+
full_path = os.path.join(folder_path, file_name)
|
| 1480 |
+
relative_path = full_path.split('Jingju_Audio_Recordings_Collection_cut_prompt/')[-1]
|
| 1481 |
+
|
| 1482 |
+
element1 = f"{datasetname}_{file_name[:-5]}"
|
| 1483 |
+
element2 = f"{TRAIN_PATH}{datasetname}/Jingju_Audio_Recordings_Collection_cut_prompt/{relative_path}"
|
| 1484 |
+
scp_data.append(f"{element1} {element2}")
|
| 1485 |
+
|
| 1486 |
+
|
| 1487 |
+
with open(scp_file_path, 'w', encoding='utf-8') as scp_file:
|
| 1488 |
+
for line in scp_data:
|
| 1489 |
+
scp_file.write(line + '\n')
|
| 1490 |
+
|
| 1491 |
+
if __name__ == "__main__":
|
| 1492 |
+
|
| 1493 |
+
DATABASE_PATH = '/data/ziyaz/audio_flan/original_datasets/128_Compmusic'
|
| 1494 |
+
SAVE_PATH = '/data/ziyaz/audio_flan/Audio-Flan-Engine/datasets/music/128_Compmusic/4-text2music_generation'
|
| 1495 |
+
TRAIN_PATH = "/scratch/buildlam/rawdata/codeclm/music/"
|
| 1496 |
+
DOWNLOAD_METADATA_PATH = '/data/ziyaz/audio_flan/Audio-Flan-Engine/datasets/music/128_Compmusic'
|
| 1497 |
+
|
| 1498 |
+
##
|
| 1499 |
+
|
| 1500 |
+
# # Mridangam_Tani_avarthanam_Dataset
|
| 1501 |
+
# generate_Mridangam_Tani_avarthanam_Dataset_sft_data(DATABASE_PATH, SAVE_PATH)
|
| 1502 |
+
# generate_Mridangam_Tani_avarthanam_Dataset_audioid2path_scp(DATABASE_PATH, SAVE_PATH, TRAIN_PATH)
|
| 1503 |
+
|
| 1504 |
+
# # Mridangam_Stroke_Dataset
|
| 1505 |
+
# generate_Mridangam_Stroke_Dataset_sft_data(DATABASE_PATH, SAVE_PATH)
|
| 1506 |
+
# generate_Mridangam_Stroke_Dataset_audioid2path_scp(DATABASE_PATH, SAVE_PATH, TRAIN_PATH)
|
| 1507 |
+
|
| 1508 |
+
# # Saraga_Carnatic_and_Hindustani_collections
|
| 1509 |
+
# generate_Saraga_Carnatic_and_Hindustani_collections_sft_data(DATABASE_PATH, SAVE_PATH, DOWNLOAD_METADATA_PATH)
|
| 1510 |
+
# generate_Saraga_Carnatic_and_Hindustani_collections_scp(SAVE_PATH, DOWNLOAD_METADATA_PATH, TRAIN_PATH)
|
| 1511 |
+
|
| 1512 |
+
# # Tabla_Solo_Dataset
|
| 1513 |
+
# generate_Tabla_Solo_Dataset_sft_data(DATABASE_PATH, SAVE_PATH)
|
| 1514 |
+
# generate_Tabla_Solo_Dataset_scp(DATABASE_PATH, SAVE_PATH, TRAIN_PATH)
|
| 1515 |
+
|
| 1516 |
+
# # Carnatic_Varnam_Dataset
|
| 1517 |
+
# generate_Carnatic_Varnam_Dataset_sft_data(DATABASE_PATH, SAVE_PATH, DOWNLOAD_METADATA_PATH)
|
| 1518 |
+
# generate_Carnatic_Varnam_Dataset_scp(SAVE_PATH, DOWNLOAD_METADATA_PATH, TRAIN_PATH)
|
| 1519 |
+
|
| 1520 |
+
# # Carnatic_Music_Rhythm_Dataset
|
| 1521 |
+
# generate_Carnatic_Music_Rhythm_Dataset_sft_data(DATABASE_PATH, SAVE_PATH, DOWNLOAD_METADATA_PATH)
|
| 1522 |
+
# generate_Carnatic_Music_Rhythm_Dataset_scp(SAVE_PATH, DOWNLOAD_METADATA_PATH, TRAIN_PATH)
|
| 1523 |
+
|
| 1524 |
+
# # Hindustani_Music_Rhythm_Dataset
|
| 1525 |
+
# generate_Hindustani_Music_Rhythm_Dataset_sft_data(DATABASE_PATH, SAVE_PATH, DOWNLOAD_METADATA_PATH)
|
| 1526 |
+
# generate_Hindustani_Music_Rhythm_Dataset_scp(SAVE_PATH, DOWNLOAD_METADATA_PATH, TRAIN_PATH)
|
| 1527 |
+
|
| 1528 |
+
# # Arab_Andalusian_Dataset
|
| 1529 |
+
# generate_Arab_Andalusian_Dataset_sft_data(DATABASE_PATH, SAVE_PATH, DOWNLOAD_METADATA_PATH)
|
| 1530 |
+
# generate_Arab_Andalusian_Dataset_scp(SAVE_PATH, DOWNLOAD_METADATA_PATH, TRAIN_PATH)
|
| 1531 |
+
|
| 1532 |
+
# # Jingju_A_Cappella_Singing_Audio_Extended_Dataset
|
| 1533 |
+
# generate_Jingju_A_Cappella_Singing_Audio_Extended_Dataset_part3_sft_data(DATABASE_PATH, SAVE_PATH, DOWNLOAD_METADATA_PATH)
|
| 1534 |
+
# generate_Jingju_A_Cappella_Singing_Audio_Extended_Dataset_part3_scp(SAVE_PATH, DOWNLOAD_METADATA_PATH, TRAIN_PATH)
|
| 1535 |
+
|
| 1536 |
+
# # Jingju_Audio_Recordings_Collection
|
| 1537 |
+
# generate_Jingju_Audio_Recordings_Collection_sft_data(DOWNLOAD_METADATA_PATH, SAVE_PATH)
|
| 1538 |
+
# generate_Jingju_Audio_Recordings_Collection_scp(DOWNLOAD_METADATA_PATH, SAVE_PATH, TRAIN_PATH)
|
| 1539 |
+
|
| 1540 |
+
|
| 1541 |
+
##
|
| 1542 |
+
|
| 1543 |
+
|
| 1544 |
+
# # Saraga_Carnatic_and_Hindustani_collections (including 10s prompt)
|
| 1545 |
+
# generate_Saraga_Carnatic_and_Hindustani_collections_with_prompt_sft_data(DATABASE_PATH, SAVE_PATH, DOWNLOAD_METADATA_PATH)
|
| 1546 |
+
# generate_Saraga_Carnatic_and_Hindustani_collections_with_prompt_scp(SAVE_PATH, DOWNLOAD_METADATA_PATH, TRAIN_PATH)
|
| 1547 |
+
|
| 1548 |
+
# # Carnatic_Varnam_Dataset (including 10s prompt)
|
| 1549 |
+
# generate_Carnatic_Varnam_Dataset_with_prompt_sft_data(DATABASE_PATH, SAVE_PATH, DOWNLOAD_METADATA_PATH)
|
| 1550 |
+
# generate_Carnatic_Varnam_Dataset_with_prompt_scp(SAVE_PATH, DOWNLOAD_METADATA_PATH, TRAIN_PATH)
|
| 1551 |
+
|
| 1552 |
+
# # Carnatic_Music_Rhythm_Dataset (including 10s prompt)
|
| 1553 |
+
# generate_Carnatic_Music_Rhythm_Dataset_with_prompt_sft_data(DATABASE_PATH, SAVE_PATH, DOWNLOAD_METADATA_PATH)
|
| 1554 |
+
# generate_Carnatic_Music_Rhythm_Dataset_with_prompt_scp(SAVE_PATH, DOWNLOAD_METADATA_PATH, TRAIN_PATH)
|
| 1555 |
+
|
| 1556 |
+
# # Hindustani_Music_Rhythm_Dataset (including 10s prompt)
|
| 1557 |
+
# generate_Hindustani_Music_Rhythm_Dataset_with_prompt_sft_data(DATABASE_PATH, SAVE_PATH, DOWNLOAD_METADATA_PATH)
|
| 1558 |
+
# generate_Hindustani_Music_Rhythm_Dataset_with_prompt_scp(SAVE_PATH, DOWNLOAD_METADATA_PATH, TRAIN_PATH)
|
| 1559 |
+
|
| 1560 |
+
# # Arab_Andalusian_Dataset (including 10s prompt)
|
| 1561 |
+
# generate_Arab_Andalusian_Dataset_with_prompt_sft_data(DATABASE_PATH, SAVE_PATH, DOWNLOAD_METADATA_PATH)
|
| 1562 |
+
# generate_Arab_Andalusian_Dataset_with_prompt_scp(SAVE_PATH, DOWNLOAD_METADATA_PATH, TRAIN_PATH)
|
| 1563 |
+
|
| 1564 |
+
# # Jingju_A_Cappella_Singing_Audio_Extended_Dataset (including 10s prompt)
|
| 1565 |
+
# generate_Jingju_A_Cappella_Singing_Audio_Extended_Dataset_part3_with_prompt_sft_data(DATABASE_PATH, SAVE_PATH, DOWNLOAD_METADATA_PATH)
|
| 1566 |
+
# generate_Jingju_A_Cappella_Singing_Audio_Extended_Dataset_part3_with_prompt_scp(SAVE_PATH, DOWNLOAD_METADATA_PATH, TRAIN_PATH)
|
| 1567 |
+
|
| 1568 |
+
# # Jingju_Audio_Recordings_Collection (including 10s prompt)
|
| 1569 |
+
# generate_Jingju_Audio_Recordings_Collection_with_prompt_sft_data(DOWNLOAD_METADATA_PATH, SAVE_PATH)
|
| 1570 |
+
# generate_Jingju_Audio_Recordings_Collection_with_prompt_scp(DOWNLOAD_METADATA_PATH, SAVE_PATH, TRAIN_PATH)
|
128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/preprocess.sh
ADDED
|
@@ -0,0 +1,2 @@
|
|
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|
| 1 |
+
unzip /data/ziyaz/audio_flan/original_datasets/128_Compmusic/Jingju_Audio_Recordings_Collection/JingjuAudioRecordingsCollection.zip
|
| 2 |
+
python generate_sft.py
|
128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/readme
ADDED
|
@@ -0,0 +1,11 @@
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| 1 |
+
This part is now used to deal with:
|
| 2 |
+
/128_Compmusic/Arab_Andalusian_Dataset/...
|
| 3 |
+
/128_Compmusic/Carnatic_Music_Rhythm_Dataset/...
|
| 4 |
+
/128_Compmusic/Carnatic_Varnam_Dataset/...
|
| 5 |
+
/128_Compmusic/Hindustani_Music_Rhythm_Dataset/...
|
| 6 |
+
/128_Compmusic/Jingju_A_Cappella_Singing_Audio_Extended_Dataset/part3/...
|
| 7 |
+
/128_Compmusic/Jingju_Audio_Recordings_Collection/...
|
| 8 |
+
/128_Compmusic/Mridangam_Stroke_Dataset/...
|
| 9 |
+
/128_Compmusic/Mridangam_Tani-avarthanam_Dataset/...
|
| 10 |
+
/128_Compmusic/Saraga_Carnatic_and_Hindustani_collections/...
|
| 11 |
+
/128_Compmusic/Tabla_Solo_Dataset/...
|
128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/sft_data-128_Compmusic-Arab_Andalusian_Dataset-text2music_generation.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/sft_data-128_Compmusic-Arab_Andalusian_Dataset_with_prompt-text2music_generation.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/sft_data-128_Compmusic-Carnatic_Music_Rhythm_Dataset_with_prompt-text2music_generation.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/sft_data-128_Compmusic-Hindustani_Music_Rhythm_Dataset-text2music_generation.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/sft_data-128_Compmusic-Jingju_A_Cappella_Singing_Audio_Extended_Dataset_part3_with_prompt-text2music_generation.jsonl
ADDED
|
@@ -0,0 +1,133 @@
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|
| 1 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called huadan and the Shengqiang used for it is xipi. The Banshi includes liushui and shuban. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp_Qing_zao_qi_lai-Mai_shui-dxjky_teacher_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp_Qing_zao_qi_lai-Mai_shui-dxjky_teacher_1.wav<|EOA|>\n", "uuid": "128_Compmusic_af633329f5b72520", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 2 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called huadan and the Shengqiang used for it is xipi. The Banshi includes liushui and shuban. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp_Qing_zao_qi_lai-Mai_shui-dxjky_student01_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp_Qing_zao_qi_lai-Mai_shui-dxjky_student01_1.wav<|EOA|>\n", "uuid": "128_Compmusic_e5d7c0fcdc58883b", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 3 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called huadan and the Shengqiang used for it is xipi. The Banshi includes liushui and shuban. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp_Qing_zao_qi_lai-Mai_shui-dxjky_student02_first_half_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp_Qing_zao_qi_lai-Mai_shui-dxjky_student02_first_half_1.wav<|EOA|>\n", "uuid": "128_Compmusic_7f3da3763e6af0eb", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 4 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called huadan and the Shengqiang used for it is xipi. The Banshi includes liushui and shuban. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp_Qing_zao_qi_lai-Mai_shui-dxjky_student02_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp_Qing_zao_qi_lai-Mai_shui-dxjky_student02_1.wav<|EOA|>\n", "uuid": "128_Compmusic_36dde363ec29eba4", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 5 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called huadan and the Shengqiang used for it is xipi. The Banshi includes liushui and shuban. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp_Qing_zao_qi_lai-Mai_shui-dxjky_student03_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp_Qing_zao_qi_lai-Mai_shui-dxjky_student03_1.wav<|EOA|>\n", "uuid": "128_Compmusic_6f199662296cdd76", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 6 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called huadan and the Shengqiang used for it is xipi. The Banshi includes liushui and shuban. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp_Qing_zao_qi_lai-Mai_shui-dxjky_student03_2.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp_Qing_zao_qi_lai-Mai_shui-dxjky_student03_2.wav<|EOA|>\n", "uuid": "128_Compmusic_96076420f5b09c51", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 7 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called huadan and the Shengqiang used for it is xipi. The Banshi includes liushui and shuban. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp_Qing_zao_qi_lai-Mai_shui-dxjky_student04_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp_Qing_zao_qi_lai-Mai_shui-dxjky_student04_1.wav<|EOA|>\n", "uuid": "128_Compmusic_7b5c7546f00ce612", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 8 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called huadan and the Shengqiang used for it is xipi. The Banshi includes liushui and shuban. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp_Qing_zao_qi_lai-Mai_shui-dxjky_student04_2.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp_Qing_zao_qi_lai-Mai_shui-dxjky_student04_2.wav<|EOA|>\n", "uuid": "128_Compmusic_b326cc86c0434096", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 9 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called huadan and the Shengqiang used for it is xipi. The Banshi includes liushui and shuban. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp_Qing_zao_qi_lai-Mai_shui-dxjky_student05_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp_Qing_zao_qi_lai-Mai_shui-dxjky_student05_1.wav<|EOA|>\n", "uuid": "128_Compmusic_9f15c16631fb047b", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 10 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called huadan and the Shengqiang used for it is xipi. The Banshi includes liushui and shuban. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp_Qing_zao_qi_lai-Mai_shui-dxjky_student05_2.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp_Qing_zao_qi_lai-Mai_shui-dxjky_student05_2.wav<|EOA|>\n", "uuid": "128_Compmusic_ee3afe66b78c99c4", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 11 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called huadan and the Shengqiang used for it is xipi. The Banshi includes liushui and shuban. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp_Qing_zao_qi_lai-Mai_shui-dxjky_student06_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp_Qing_zao_qi_lai-Mai_shui-dxjky_student06_1.wav<|EOA|>\n", "uuid": "128_Compmusic_96f478b53508b5d9", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 12 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called huadan and the Shengqiang used for it is xipi. The Banshi includes liushui and shuban. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp_Qing_zao_qi_lai-Mai_shui-dxjky_student06_2.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp_Qing_zao_qi_lai-Mai_shui-dxjky_student06_2.wav<|EOA|>\n", "uuid": "128_Compmusic_021d6f540ac974b4", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 13 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called huadan and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Fei_shi_wo-Hua_tian_cuo-dxjky_teacher_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Fei_shi_wo-Hua_tian_cuo-dxjky_teacher_1.wav<|EOA|>\n", "uuid": "128_Compmusic_074c9abcd8aafc34", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 14 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called huadan and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Fei_shi_wo-Hua_tian_cuo-dxjky_teacher_2.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Fei_shi_wo-Hua_tian_cuo-dxjky_teacher_2.wav<|EOA|>\n", "uuid": "128_Compmusic_bc1f1efc6b81b8ea", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 15 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called huadan and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Fei_shi_wo-Hua_tian_cuo-dxjky_student01_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Fei_shi_wo-Hua_tian_cuo-dxjky_student01_1.wav<|EOA|>\n", "uuid": "128_Compmusic_22e84ab82e7e6a32", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 16 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called huadan and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Fei_shi_wo-Hua_tian_cuo-dxjky_student01_2.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Fei_shi_wo-Hua_tian_cuo-dxjky_student01_2.wav<|EOA|>\n", "uuid": "128_Compmusic_93773bb25d9381be", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 17 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called huadan and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Fei_shi_wo-Hua_tian_cuo-dxjky_student02_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Fei_shi_wo-Hua_tian_cuo-dxjky_student02_1.wav<|EOA|>\n", "uuid": "128_Compmusic_aae58be74803dd5f", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 18 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called huadan and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Fei_shi_wo-Hua_tian_cuo-dxjky_student02_2.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Fei_shi_wo-Hua_tian_cuo-dxjky_student02_2.wav<|EOA|>\n", "uuid": "128_Compmusic_a97346470fb94de8", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 19 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called huadan and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Fei_shi_wo-Hua_tian_cuo-dxjky_student03_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Fei_shi_wo-Hua_tian_cuo-dxjky_student03_1.wav<|EOA|>\n", "uuid": "128_Compmusic_e7d75cc2c93a4069", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 20 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called huadan and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Fei_shi_wo-Hua_tian_cuo-dxjky_student03_2.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Fei_shi_wo-Hua_tian_cuo-dxjky_student03_2.wav<|EOA|>\n", "uuid": "128_Compmusic_09fa6ac613bbe708", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 21 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called huadan and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Fei_shi_wo-Hua_tian_cuo-dxjky_student04_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Fei_shi_wo-Hua_tian_cuo-dxjky_student04_1.wav<|EOA|>\n", "uuid": "128_Compmusic_e9914112a317df6a", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 22 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called huadan and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Fei_shi_wo-Hua_tian_cuo-dxjky_student04_2.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Fei_shi_wo-Hua_tian_cuo-dxjky_student04_2.wav<|EOA|>\n", "uuid": "128_Compmusic_e59d1f90d0c00c8f", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 23 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Meng_ting_de-Mu_gui_ying_gua_shuai-dxjky_teacher_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Meng_ting_de-Mu_gui_ying_gua_shuai-dxjky_teacher_1.wav<|EOA|>\n", "uuid": "128_Compmusic_926d228393b43dc3", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 24 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Meng_ting_de-Mu_gui_ying_gua_shuai-dxjky_student01_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Meng_ting_de-Mu_gui_ying_gua_shuai-dxjky_student01_1.wav<|EOA|>\n", "uuid": "128_Compmusic_ce86bc5cf8d3b255", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 25 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Meng_ting_de-Mu_gui_ying_gua_shuai-dxjky_student02_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Meng_ting_de-Mu_gui_ying_gua_shuai-dxjky_student02_1.wav<|EOA|>\n", "uuid": "128_Compmusic_d425e7c9921250b7", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 26 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Meng_ting_de-Mu_gui_ying_gua_shuai-dxjky_student03_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Meng_ting_de-Mu_gui_ying_gua_shuai-dxjky_student03_1.wav<|EOA|>\n", "uuid": "128_Compmusic_553f39352118530f", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 27 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Meng_ting_de-Mu_gui_ying_gua_shuai-dxjky_student04_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Meng_ting_de-Mu_gui_ying_gua_shuai-dxjky_student04_1.wav<|EOA|>\n", "uuid": "128_Compmusic_9f32e95715a164a8", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 28 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Meng_ting_de-Mu_gui_ying_gua_shuai-dxjky_student04_2.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Meng_ting_de-Mu_gui_ying_gua_shuai-dxjky_student04_2.wav<|EOA|>\n", "uuid": "128_Compmusic_7f4cc0032f1a721e", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 29 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Meng_ting_de-Mu_gui_ying_gua_shuai-dxjky_student05_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Meng_ting_de-Mu_gui_ying_gua_shuai-dxjky_student05_1.wav<|EOA|>\n", "uuid": "128_Compmusic_002811d4d64f7744", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 30 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Meng_ting_de-Mu_gui_ying_gua_shuai-dxjky_student06_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Meng_ting_de-Mu_gui_ying_gua_shuai-dxjky_student06_1.wav<|EOA|>\n", "uuid": "128_Compmusic_a85cbffaa9b71f1f", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 31 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Meng_ting_de-Mu_gui_ying_gua_shuai-dxjky_student07_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Meng_ting_de-Mu_gui_ying_gua_shuai-dxjky_student07_1.wav<|EOA|>\n", "uuid": "128_Compmusic_e86967390a112e50", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 32 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Meng_ting_de-Mu_gui_ying_gua_shuai-dxjky_student08_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Meng_ting_de-Mu_gui_ying_gua_shuai-dxjky_student08_1.wav<|EOA|>\n", "uuid": "128_Compmusic_207d7ad4fbad4152", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 33 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Wo_jia_di-Hong_deng_ji-dxjky_teacher_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Wo_jia_di-Hong_deng_ji-dxjky_teacher_1.wav<|EOA|>\n", "uuid": "128_Compmusic_d1a0960c0ef10327", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 34 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Wo_jia_di-Hong_deng_ji-dxjky_student01_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Wo_jia_di-Hong_deng_ji-dxjky_student01_1.wav<|EOA|>\n", "uuid": "128_Compmusic_b1166c4ab00e5613", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 35 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Wo_jia_di-Hong_deng_ji-dxjky_student02_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Wo_jia_di-Hong_deng_ji-dxjky_student02_1.wav<|EOA|>\n", "uuid": "128_Compmusic_94026177b7472ef7", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 36 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Wo_jia_di-Hong_deng_ji-dxjky_student03_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Wo_jia_di-Hong_deng_ji-dxjky_student03_1.wav<|EOA|>\n", "uuid": "128_Compmusic_7ba2dbac38f5f79a", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 37 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Wo_jia_di-Hong_deng_ji-dxjky_student04_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Wo_jia_di-Hong_deng_ji-dxjky_student04_1.wav<|EOA|>\n", "uuid": "128_Compmusic_9272294a79ee5792", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 38 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Wo_jia_di-Hong_deng_ji-dxjky_student05_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Wo_jia_di-Hong_deng_ji-dxjky_student05_1.wav<|EOA|>\n", "uuid": "128_Compmusic_e8626a857497a626", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 39 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Wo_jia_di-Hong_deng_ji-dxjky_student06_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171211SongRuoXuan_daxp-Wo_jia_di-Hong_deng_ji-dxjky_student06_1.wav<|EOA|>\n", "uuid": "128_Compmusic_93fce6e00341a77d", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 40 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is erhuang. The Banshi includes sanyan and yaoban. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_teacher_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_teacher_1.wav<|EOA|>\n", "uuid": "128_Compmusic_e69bcbf9fe77d476", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 41 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is erhuang. The Banshi includes sanyan and yaoban. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_teacher_2.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_teacher_2.wav<|EOA|>\n", "uuid": "128_Compmusic_69c150b4e3c22e8b", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 42 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is erhuang. The Banshi includes sanyan and yaoban. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_student_01_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_student_01_1.wav<|EOA|>\n", "uuid": "128_Compmusic_da0d49069b30ae20", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 43 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is erhuang. The Banshi includes sanyan and yaoban. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_student_01_2.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_student_01_2.wav<|EOA|>\n", "uuid": "128_Compmusic_9e360e63321fd0d6", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 44 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is erhuang. The Banshi includes sanyan and yaoban. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_student_02_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_student_02_1.wav<|EOA|>\n", "uuid": "128_Compmusic_f6e28b0f387abe63", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 45 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is erhuang. The Banshi includes sanyan and yaoban. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_student_02_2.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_student_02_2.wav<|EOA|>\n", "uuid": "128_Compmusic_64bb30cf055a1a72", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 46 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is erhuang. The Banshi includes sanyan and yaoban. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_student_03_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_student_03_1.wav<|EOA|>\n", "uuid": "128_Compmusic_4f19b33b24ae4462", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 47 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is erhuang. The Banshi includes sanyan and yaoban. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_student_03_2.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_student_03_2.wav<|EOA|>\n", "uuid": "128_Compmusic_7392e72b9d1695b6", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 48 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is erhuang. The Banshi includes sanyan and yaoban. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_student_04_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_student_04_1.wav<|EOA|>\n", "uuid": "128_Compmusic_3436857773de3bc1", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 49 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is erhuang. The Banshi includes sanyan and yaoban. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_student_04_2.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_student_04_2.wav<|EOA|>\n", "uuid": "128_Compmusic_9654bdb4fda2651e", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 50 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is erhuang. The Banshi includes sanyan and yaoban. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_student_05_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_student_05_1.wav<|EOA|>\n", "uuid": "128_Compmusic_4f11086df37218c8", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 51 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is erhuang. The Banshi includes sanyan and yaoban. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_student_05_2.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_daeh-Yang_yu_huan-Tai_zhen_wai_zhuan-nanluo_student_05_2.wav<|EOA|>\n", "uuid": "128_Compmusic_962883b9544b59ae", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 52 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is nanbangzi. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_danbz-Kan_dai_wang-Ba_wang_bie_ji-nanluo_teacher_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_danbz-Kan_dai_wang-Ba_wang_bie_ji-nanluo_teacher_1.wav<|EOA|>\n", "uuid": "128_Compmusic_b864c48dea414702", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 53 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is nanbangzi. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_danbz-Kan_dai_wang-Ba_wang_bie_ji-nanluo_teacher_2.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_danbz-Kan_dai_wang-Ba_wang_bie_ji-nanluo_teacher_2.wav<|EOA|>\n", "uuid": "128_Compmusic_d73a4c47f7815ced", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 54 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is nanbangzi. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_danbz-Kan_dai_wang-Ba_wang_bie_ji-nanluo_teacher_3.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_danbz-Kan_dai_wang-Ba_wang_bie_ji-nanluo_teacher_3.wav<|EOA|>\n", "uuid": "128_Compmusic_deaab0da1c8015e3", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 55 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is nanbangzi. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_danbz-Kan_dai_wang-Ba_wang_bie_ji-nanluo_student_01_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_danbz-Kan_dai_wang-Ba_wang_bie_ji-nanluo_student_01_1.wav<|EOA|>\n", "uuid": "128_Compmusic_48a2a9aab9a3b219", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 56 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is nanbangzi. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_danbz-Kan_dai_wang-Ba_wang_bie_ji-nanluo_student_01_2.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_danbz-Kan_dai_wang-Ba_wang_bie_ji-nanluo_student_01_2.wav<|EOA|>\n", "uuid": "128_Compmusic_d054874157875f78", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 57 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is nanbangzi. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_danbz-Kan_dai_wang-Ba_wang_bie_ji-nanluo_student_02_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_danbz-Kan_dai_wang-Ba_wang_bie_ji-nanluo_student_02_1.wav<|EOA|>\n", "uuid": "128_Compmusic_72efada87eea5122", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 58 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is nanbangzi. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_danbz-Kan_dai_wang-Ba_wang_bie_ji-nanluo_student_02_2.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_danbz-Kan_dai_wang-Ba_wang_bie_ji-nanluo_student_02_2.wav<|EOA|>\n", "uuid": "128_Compmusic_6fb1c907b00f350c", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 59 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is nanbangzi. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_danbz-Kan_dai_wang-Ba_wang_bie_ji-nanluo_student_03_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_danbz-Kan_dai_wang-Ba_wang_bie_ji-nanluo_student_03_1.wav<|EOA|>\n", "uuid": "128_Compmusic_3d9cd38d969c2bb9", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 60 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is sipingdiao. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_daspd-Hai_dao_bing-Gui_fei_zui_jiu-nanluo_teacher_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_daspd-Hai_dao_bing-Gui_fei_zui_jiu-nanluo_teacher_1.wav<|EOA|>\n", "uuid": "128_Compmusic_05c02bf6ef16f77b", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 61 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is sipingdiao. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_daspd-Hai_dao_bing-Gui_fei_zui_jiu-nanluo_teacher_2.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_daspd-Hai_dao_bing-Gui_fei_zui_jiu-nanluo_teacher_2.wav<|EOA|>\n", "uuid": "128_Compmusic_91a12e199aeb03eb", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 62 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is sipingdiao. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_daspd-Hai_dao_bing-Gui_fei_zui_jiu-nanluo_teacher_3.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_daspd-Hai_dao_bing-Gui_fei_zui_jiu-nanluo_teacher_3.wav<|EOA|>\n", "uuid": "128_Compmusic_b81b618daa66beb8", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 63 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is sipingdiao. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_daspd-Hai_dao_bing-Gui_fei_zui_jiu-nanluo_student_01_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_daspd-Hai_dao_bing-Gui_fei_zui_jiu-nanluo_student_01_1.wav<|EOA|>\n", "uuid": "128_Compmusic_0b121fbffba371ef", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 64 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is sipingdiao. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_daspd-Hai_dao_bing-Gui_fei_zui_jiu-nanluo_student_01_2.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_daspd-Hai_dao_bing-Gui_fei_zui_jiu-nanluo_student_01_2.wav<|EOA|>\n", "uuid": "128_Compmusic_60d1fdf65efad361", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 65 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is sipingdiao. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_daspd-Hai_dao_bing-Gui_fei_zui_jiu-nanluo_student_01_3.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_daspd-Hai_dao_bing-Gui_fei_zui_jiu-nanluo_student_01_3.wav<|EOA|>\n", "uuid": "128_Compmusic_a6418e81478f2bd2", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 66 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is sipingdiao. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_daspd-Hai_dao_bing-Gui_fei_zui_jiu-nanluo_student_02_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_daspd-Hai_dao_bing-Gui_fei_zui_jiu-nanluo_student_02_1.wav<|EOA|>\n", "uuid": "128_Compmusic_a65ec05b3f626b13", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 67 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is sipingdiao. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_daspd-Hai_dao_bing-Gui_fei_zui_jiu-nanluo_student_02_2.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_daspd-Hai_dao_bing-Gui_fei_zui_jiu-nanluo_student_02_2.wav<|EOA|>\n", "uuid": "128_Compmusic_e476cdc8fd477ab5", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 68 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes erliu. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_daxp-Quan_jun_wang-Ba_wang_bie_ji-nanluo_teacher_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_daxp-Quan_jun_wang-Ba_wang_bie_ji-nanluo_teacher_1.wav<|EOA|>\n", "uuid": "128_Compmusic_3791a51b21a703cf", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 69 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes erliu. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_daxp-Quan_jun_wang-Ba_wang_bie_ji-nanluo_teacher_2.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_daxp-Quan_jun_wang-Ba_wang_bie_ji-nanluo_teacher_2.wav<|EOA|>\n", "uuid": "128_Compmusic_3f1496a75a0cfd9f", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 70 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes erliu. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_daxp-Quan_jun_wang-Ba_wang_bie_ji-nanluo_teacher_3.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_daxp-Quan_jun_wang-Ba_wang_bie_ji-nanluo_teacher_3.wav<|EOA|>\n", "uuid": "128_Compmusic_f561573684b01859", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 71 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes erliu. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_daxp-Quan_jun_wang-Ba_wang_bie_ji-nanluo_student_01_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_daxp-Quan_jun_wang-Ba_wang_bie_ji-nanluo_student_01_1.wav<|EOA|>\n", "uuid": "128_Compmusic_f69ca6a892a35a54", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 72 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes erliu. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_daxp-Quan_jun_wang-Ba_wang_bie_ji-nanluo_student_01_2.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_daxp-Quan_jun_wang-Ba_wang_bie_ji-nanluo_student_01_2.wav<|EOA|>\n", "uuid": "128_Compmusic_63341e2c3e29fbc1", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 73 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes erliu. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_daxp-Quan_jun_wang-Ba_wang_bie_ji-nanluo_student_01_3.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_daxp-Quan_jun_wang-Ba_wang_bie_ji-nanluo_student_01_3.wav<|EOA|>\n", "uuid": "128_Compmusic_3a2501a8ae9f583d", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 74 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes erliu. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_daxp-Quan_jun_wang-Ba_wang_bie_ji-nanluo_student_02_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_daxp-Quan_jun_wang-Ba_wang_bie_ji-nanluo_student_02_1.wav<|EOA|>\n", "uuid": "128_Compmusic_d26409cf76a9bdc1", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 75 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes erliu. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_daxp-Quan_jun_wang-Ba_wang_bie_ji-nanluo_student_02_2.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_daxp-Quan_jun_wang-Ba_wang_bie_ji-nanluo_student_02_2.wav<|EOA|>\n", "uuid": "128_Compmusic_1d3688ab56958ca1", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 76 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes erliu. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_daxp-Quan_jun_wang-Ba_wang_bie_ji-nanluo_student_02_3.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_daxp-Quan_jun_wang-Ba_wang_bie_ji-nanluo_student_02_3.wav<|EOA|>\n", "uuid": "128_Compmusic_e2a769697d015cb1", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 77 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes erliu. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_daxp-Quan_jun_wang-Ba_wang_bie_ji-nanluo_student_03_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_daxp-Quan_jun_wang-Ba_wang_bie_ji-nanluo_student_03_1.wav<|EOA|>\n", "uuid": "128_Compmusic_72514e1f41b14e55", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 78 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes erliu. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_daxp-Quan_jun_wang-Ba_wang_bie_ji-nanluo_student_03_2.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_daxp-Quan_jun_wang-Ba_wang_bie_ji-nanluo_student_03_2.wav<|EOA|>\n", "uuid": "128_Compmusic_30952a62fe774357", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 79 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes erliu. \n audio prompt: <|SOA|>128_Compmusic_20171214SongRuoXuan_daxp-Quan_jun_wang-Ba_wang_bie_ji-nanluo_student_03_3.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171214SongRuoXuan_daxp-Quan_jun_wang-Ba_wang_bie_ji-nanluo_student_03_3.wav<|EOA|>\n", "uuid": "128_Compmusic_07f15efd63bbc182", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 80 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171215SongRuoXuan_daxp-Jiao_zhang_sheng-Xi_shi-qianmen_teacher_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171215SongRuoXuan_daxp-Jiao_zhang_sheng-Xi_shi-qianmen_teacher_1.wav<|EOA|>\n", "uuid": "128_Compmusic_65d74c14636371ca", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 81 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171215SongRuoXuan_daxp-Jiao_zhang_sheng-Xi_shi-qianmen_student_01_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171215SongRuoXuan_daxp-Jiao_zhang_sheng-Xi_shi-qianmen_student_01_1.wav<|EOA|>\n", "uuid": "128_Compmusic_3fe26307b43c1a00", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 82 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171215SongRuoXuan_daxp-Jiao_zhang_sheng-Xi_shi-qianmen_student_02_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171215SongRuoXuan_daxp-Jiao_zhang_sheng-Xi_shi-qianmen_student_02_1.wav<|EOA|>\n", "uuid": "128_Compmusic_60a42650e3b0a445", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 83 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171215SongRuoXuan_daxp-Jiao_zhang_sheng-Xi_shi-qianmen_student_03_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171215SongRuoXuan_daxp-Jiao_zhang_sheng-Xi_shi-qianmen_student_03_1.wav<|EOA|>\n", "uuid": "128_Compmusic_2c88d00149da67b8", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 84 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171215SongRuoXuan_daxp-Jiao_zhang_sheng-Xi_shi-qianmen_student_04_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171215SongRuoXuan_daxp-Jiao_zhang_sheng-Xi_shi-qianmen_student_04_1.wav<|EOA|>\n", "uuid": "128_Compmusic_bf8b6e8477374ef3", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 85 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171215SongRuoXuan_daxp-Jiao_zhang_sheng-Xi_shi-qianmen_student_05_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171215SongRuoXuan_daxp-Jiao_zhang_sheng-Xi_shi-qianmen_student_05_1.wav<|EOA|>\n", "uuid": "128_Compmusic_89325039f24a0d9e", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 86 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171215SongRuoXuan_daxp-Jiao_zhang_sheng-Xi_shi-qianmen_student_06_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171215SongRuoXuan_daxp-Jiao_zhang_sheng-Xi_shi-qianmen_student_06_1.wav<|EOA|>\n", "uuid": "128_Compmusic_df2a2215200c4ca7", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 87 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes yuanban. \n audio prompt: <|SOA|>128_Compmusic_2017121215SongRuoXuan_daxp-Mu_qin_bu_ke-Feng_huan_chao-yucai_qianmen_teacher_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_2017121215SongRuoXuan_daxp-Mu_qin_bu_ke-Feng_huan_chao-yucai_qianmen_teacher_1.wav<|EOA|>\n", "uuid": "128_Compmusic_dbc7ab60f2c4b7d1", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 88 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes yuanban. \n audio prompt: <|SOA|>128_Compmusic_2017121215SongRuoXuan_daxp-Mu_qin_bu_ke-Feng_huan_chao-yucai_qianmen_student_01_qianmen_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_2017121215SongRuoXuan_daxp-Mu_qin_bu_ke-Feng_huan_chao-yucai_qianmen_student_01_qianmen_1.wav<|EOA|>\n", "uuid": "128_Compmusic_a9f3957565c8547c", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 89 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes yuanban. \n audio prompt: <|SOA|>128_Compmusic_2017121215SongRuoXuan_daxp-Mu_qin_bu_ke-Feng_huan_chao-yucai_qianmen_student_01_qianmen_2.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_2017121215SongRuoXuan_daxp-Mu_qin_bu_ke-Feng_huan_chao-yucai_qianmen_student_01_qianmen_2.wav<|EOA|>\n", "uuid": "128_Compmusic_1f72b27cb43b4bbc", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 90 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes yuanban. \n audio prompt: <|SOA|>128_Compmusic_2017121215SongRuoXuan_daxp-Mu_qin_bu_ke-Feng_huan_chao-yucai_qianmen_student_02_qianmen_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_2017121215SongRuoXuan_daxp-Mu_qin_bu_ke-Feng_huan_chao-yucai_qianmen_student_02_qianmen_1.wav<|EOA|>\n", "uuid": "128_Compmusic_6bc9bf2bd047c704", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 91 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes yuanban. \n audio prompt: <|SOA|>128_Compmusic_2017121215SongRuoXuan_daxp-Mu_qin_bu_ke-Feng_huan_chao-yucai_qianmen_student_03_qianmen_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_2017121215SongRuoXuan_daxp-Mu_qin_bu_ke-Feng_huan_chao-yucai_qianmen_student_03_qianmen_1.wav<|EOA|>\n", "uuid": "128_Compmusic_ab45334f19576058", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 92 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes yuanban. \n audio prompt: <|SOA|>128_Compmusic_2017121215SongRuoXuan_daxp-Mu_qin_bu_ke-Feng_huan_chao-yucai_qianmen_student_04_qianmen_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_2017121215SongRuoXuan_daxp-Mu_qin_bu_ke-Feng_huan_chao-yucai_qianmen_student_04_qianmen_1.wav<|EOA|>\n", "uuid": "128_Compmusic_3648598b3ae6e821", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 93 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes yuanban. \n audio prompt: <|SOA|>128_Compmusic_2017121215SongRuoXuan_daxp-Mu_qin_bu_ke-Feng_huan_chao-yucai_qianmen_student_05_qianmen_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_2017121215SongRuoXuan_daxp-Mu_qin_bu_ke-Feng_huan_chao-yucai_qianmen_student_05_qianmen_1.wav<|EOA|>\n", "uuid": "128_Compmusic_58e669c4d53e58cb", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 94 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes yuanban. \n audio prompt: <|SOA|>128_Compmusic_2017121215SongRuoXuan_daxp-Mu_qin_bu_ke-Feng_huan_chao-yucai_qianmen_student01_yucai_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_2017121215SongRuoXuan_daxp-Mu_qin_bu_ke-Feng_huan_chao-yucai_qianmen_student01_yucai_1.wav<|EOA|>\n", "uuid": "128_Compmusic_f9c687355e49de5f", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 95 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes yuanban. \n audio prompt: <|SOA|>128_Compmusic_2017121215SongRuoXuan_daxp-Mu_qin_bu_ke-Feng_huan_chao-yucai_qianmen_student02_yucai_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_2017121215SongRuoXuan_daxp-Mu_qin_bu_ke-Feng_huan_chao-yucai_qianmen_student02_yucai_1.wav<|EOA|>\n", "uuid": "128_Compmusic_19563da594fbbceb", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 96 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called dan and the Shengqiang used for it is xipi. The Banshi includes yuanban. \n audio prompt: <|SOA|>128_Compmusic_2017121215SongRuoXuan_daxp-Mu_qin_bu_ke-Feng_huan_chao-yucai_qianmen_student03_yucai_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_2017121215SongRuoXuan_daxp-Mu_qin_bu_ke-Feng_huan_chao-yucai_qianmen_student03_yucai_1.wav<|EOA|>\n", "uuid": "128_Compmusic_e914618db4b7b943", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 97 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called laosheng and the Shengqiang used for it is erhuang. The Banshi includes yuanban. \n audio prompt: <|SOA|>128_Compmusic_20171217TianHao_lseh-Wo_men_shi-Zhi_qu-sizhu_teacher_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171217TianHao_lseh-Wo_men_shi-Zhi_qu-sizhu_teacher_1.wav<|EOA|>\n", "uuid": "128_Compmusic_be0bc0bd9ef9b752", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 98 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called laosheng and the Shengqiang used for it is erhuang. The Banshi includes yuanban. \n audio prompt: <|SOA|>128_Compmusic_20171217TianHao_lseh-Wo_men_shi-Zhi_qu-sizhu_student_01_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171217TianHao_lseh-Wo_men_shi-Zhi_qu-sizhu_student_01_1.wav<|EOA|>\n", "uuid": "128_Compmusic_7a34473b40211ab0", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 99 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called laosheng and the Shengqiang used for it is erhuang. The Banshi includes yuanban. \n audio prompt: <|SOA|>128_Compmusic_20171217TianHao_lseh-Wo_men_shi-Zhi_qu-sizhu_student_02_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171217TianHao_lseh-Wo_men_shi-Zhi_qu-sizhu_student_02_1.wav<|EOA|>\n", "uuid": "128_Compmusic_af40679aa0e47181", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 100 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called laosheng and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Jiang_shen_er-San_jia_dian-sizhu_teacher_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Jiang_shen_er-San_jia_dian-sizhu_teacher_1.wav<|EOA|>\n", "uuid": "128_Compmusic_35ccfbf6ee7140b4", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 101 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called laosheng and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Jiang_shen_er-San_jia_dian-sizhu_teacher_2.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Jiang_shen_er-San_jia_dian-sizhu_teacher_2.wav<|EOA|>\n", "uuid": "128_Compmusic_9b681b8c59f76484", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 102 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called laosheng and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Jiang_shen_er-San_jia_dian-sizhu_student_01_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Jiang_shen_er-San_jia_dian-sizhu_student_01_1.wav<|EOA|>\n", "uuid": "128_Compmusic_066b61e4283a0337", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 103 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called laosheng and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Jiang_shen_er-San_jia_dian-sizhu_student_02_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Jiang_shen_er-San_jia_dian-sizhu_student_02_1.wav<|EOA|>\n", "uuid": "128_Compmusic_174b98438dc3dd23", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 104 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called laosheng and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Jiang_shen_er-San_jia_dian-sizhu_student_02_2.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Jiang_shen_er-San_jia_dian-sizhu_student_02_2.wav<|EOA|>\n", "uuid": "128_Compmusic_baa7812a24f83786", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 105 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called laosheng and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Jiang_shen_er-San_jia_dian-sizhu_student_03_1_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Jiang_shen_er-San_jia_dian-sizhu_student_03_1_1.wav<|EOA|>\n", "uuid": "128_Compmusic_37068dc857a62a07", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 106 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called laosheng and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Jiang_shen_er-San_jia_dian-sizhu_student_03_2_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Jiang_shen_er-San_jia_dian-sizhu_student_03_2_1.wav<|EOA|>\n", "uuid": "128_Compmusic_e122debf455832d4", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 107 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called laosheng and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Jiang_shen_er-San_jia_dian-sizhu_student_04_mentougou_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Jiang_shen_er-San_jia_dian-sizhu_student_04_mentougou_1.wav<|EOA|>\n", "uuid": "128_Compmusic_5b599ced987bc7c4", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 108 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called laosheng and the Shengqiang used for it is xipi. The Banshi includes erliu. \n audio prompt: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Lin_xing_he_ma-Hong_deng_ji-sizhu_teacher_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Lin_xing_he_ma-Hong_deng_ji-sizhu_teacher_1.wav<|EOA|>\n", "uuid": "128_Compmusic_95961774e422277d", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 109 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called laosheng and the Shengqiang used for it is xipi. The Banshi includes erliu. \n audio prompt: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Lin_xing_he_ma-Hong_deng_ji-sizhu_student_01_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Lin_xing_he_ma-Hong_deng_ji-sizhu_student_01_1.wav<|EOA|>\n", "uuid": "128_Compmusic_cca16a9a53156bf0", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 110 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called laosheng and the Shengqiang used for it is xipi. The Banshi includes erliu. \n audio prompt: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Lin_xing_he_ma-Hong_deng_ji-sizhu_student_02_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Lin_xing_he_ma-Hong_deng_ji-sizhu_student_02_1.wav<|EOA|>\n", "uuid": "128_Compmusic_70006850a3ab93ed", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 111 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called laosheng and the Shengqiang used for it is xipi. The Banshi includes yuanban. \n audio prompt: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Ti_lan_xiao_mai-Hong_deng_ji-sizhu_mentougou_teacher_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Ti_lan_xiao_mai-Hong_deng_ji-sizhu_mentougou_teacher_1.wav<|EOA|>\n", "uuid": "128_Compmusic_8b0ca61f8caca948", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 112 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called laosheng and the Shengqiang used for it is xipi. The Banshi includes yuanban. \n audio prompt: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Ti_lan_xiao_mai-Hong_deng_ji-sizhu_mentougou_student_01_sizhu_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Ti_lan_xiao_mai-Hong_deng_ji-sizhu_mentougou_student_01_sizhu_1.wav<|EOA|>\n", "uuid": "128_Compmusic_24315ff17df13a81", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 113 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called laosheng and the Shengqiang used for it is xipi. The Banshi includes yuanban. \n audio prompt: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Ti_lan_xiao_mai-Hong_deng_ji-sizhu_mentougou_student_02_mentougou_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Ti_lan_xiao_mai-Hong_deng_ji-sizhu_mentougou_student_02_mentougou_1.wav<|EOA|>\n", "uuid": "128_Compmusic_33529b114a8c21c1", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 114 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called laosheng and the Shengqiang used for it is erhuang. The Banshi includes yuanban. \n audio prompt: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Wei_guo_jia-Hong_yang_dong-sizhu_teacher_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Wei_guo_jia-Hong_yang_dong-sizhu_teacher_1.wav<|EOA|>\n", "uuid": "128_Compmusic_43c3f2be2d4512be", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 115 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called laosheng and the Shengqiang used for it is erhuang. The Banshi includes yuanban. \n audio prompt: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Wei_guo_jia-Hong_yang_dong-sizhu_teacher_2.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Wei_guo_jia-Hong_yang_dong-sizhu_teacher_2.wav<|EOA|>\n", "uuid": "128_Compmusic_808ab0ef871bad2d", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 116 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called laosheng and the Shengqiang used for it is erhuang. The Banshi includes yuanban. \n audio prompt: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Wei_guo_jia-Hong_yang_dong-sizhu_student_01_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Wei_guo_jia-Hong_yang_dong-sizhu_student_01_1.wav<|EOA|>\n", "uuid": "128_Compmusic_cafbbf1c612ac24b", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 117 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called laosheng and the Shengqiang used for it is erhuang. The Banshi includes yuanban. \n audio prompt: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Wei_guo_jia-Hong_yang_dong-sizhu_student_01_2.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Wei_guo_jia-Hong_yang_dong-sizhu_student_01_2.wav<|EOA|>\n", "uuid": "128_Compmusic_429efc67a4e96e16", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 118 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called laosheng and the Shengqiang used for it is erhuang. The Banshi includes yuanban. \n audio prompt: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Wei_guo_jia-Hong_yang_dong-sizhu_student_02_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Wei_guo_jia-Hong_yang_dong-sizhu_student_02_1.wav<|EOA|>\n", "uuid": "128_Compmusic_e0f3ccbe615eb038", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 119 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called laosheng and the Shengqiang used for it is erhuang. The Banshi includes yuanban. \n audio prompt: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Wei_guo_jia-Hong_yang_dong-sizhu_student_02_2.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Wei_guo_jia-Hong_yang_dong-sizhu_student_02_2.wav<|EOA|>\n", "uuid": "128_Compmusic_f236aa81608a7925", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 120 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called laosheng and the Shengqiang used for it is erhuang. The Banshi includes yuanban. \n audio prompt: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Wei_guo_jia-Hong_yang_dong-sizhu_student_03_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Wei_guo_jia-Hong_yang_dong-sizhu_student_03_1.wav<|EOA|>\n", "uuid": "128_Compmusic_c3cb80860ed1b6d3", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 121 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called laosheng and the Shengqiang used for it is erhuang. The Banshi includes yuanban. \n audio prompt: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Wei_guo_jia-Hong_yang_dong-sizhu_student_03_2.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Wei_guo_jia-Hong_yang_dong-sizhu_student_03_2.wav<|EOA|>\n", "uuid": "128_Compmusic_451692ec81a6c0b9", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 122 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called laosheng and the Shengqiang used for it is erhuang. The Banshi includes yuanban. \n audio prompt: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Wei_guo_jia-Hong_yang_dong-sizhu_student_04_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Wei_guo_jia-Hong_yang_dong-sizhu_student_04_1.wav<|EOA|>\n", "uuid": "128_Compmusic_b3fce1a69a44aac9", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 123 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called laosheng and the Shengqiang used for it is erhuang. The Banshi includes yuanban. \n audio prompt: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Wei_guo_jia-Hong_yang_dong-sizhu_student_04_2.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Wei_guo_jia-Hong_yang_dong-sizhu_student_04_2.wav<|EOA|>\n", "uuid": "128_Compmusic_de82feb699565f9f", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 124 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called laosheng and the Shengqiang used for it is erhuang. The Banshi includes yuanban. \n audio prompt: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Wei_guo_jia-Hong_yang_dong-sizhu_student_05_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Wei_guo_jia-Hong_yang_dong-sizhu_student_05_1.wav<|EOA|>\n", "uuid": "128_Compmusic_4922ea8297995747", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 125 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called laosheng and the Shengqiang used for it is erhuang. The Banshi includes yuanban. \n audio prompt: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Wei_guo_jia-Hong_yang_dong-sizhu_student_05_2.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_20171217TianHao_lsxp-Wei_guo_jia-Hong_yang_dong-sizhu_student_05_2.wav<|EOA|>\n", "uuid": "128_Compmusic_9b191353b9565e37", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 126 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called laosheng and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_2017121718SongRuoXuan_lsxp-Zhe_yi_feng-Ding_jun_shan-dxjky-sizhu_teacher_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_2017121718SongRuoXuan_lsxp-Zhe_yi_feng-Ding_jun_shan-dxjky-sizhu_teacher_1.wav<|EOA|>\n", "uuid": "128_Compmusic_19872e3a07e96fa1", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 127 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called laosheng and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_2017121718SongRuoXuan_lsxp-Zhe_yi_feng-Ding_jun_shan-dxjky-sizhu_student_01_dxjky_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_2017121718SongRuoXuan_lsxp-Zhe_yi_feng-Ding_jun_shan-dxjky-sizhu_student_01_dxjky_1.wav<|EOA|>\n", "uuid": "128_Compmusic_5660e61a0408e318", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 128 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called laosheng and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_2017121718SongRuoXuan_lsxp-Zhe_yi_feng-Ding_jun_shan-dxjky-sizhu_student_01_sizhu_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_2017121718SongRuoXuan_lsxp-Zhe_yi_feng-Ding_jun_shan-dxjky-sizhu_student_01_sizhu_1.wav<|EOA|>\n", "uuid": "128_Compmusic_79ca423d559ca06c", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 129 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called laosheng and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_2017121718SongRuoXuan_lsxp-Zhe_yi_feng-Ding_jun_shan-dxjky-sizhu_student_02_dxjky_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_2017121718SongRuoXuan_lsxp-Zhe_yi_feng-Ding_jun_shan-dxjky-sizhu_student_02_dxjky_1.wav<|EOA|>\n", "uuid": "128_Compmusic_4ccbe13ece3a39fb", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 130 |
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{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called laosheng and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_2017121718SongRuoXuan_lsxp-Zhe_yi_feng-Ding_jun_shan-dxjky-sizhu_student_03_dxjky_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_2017121718SongRuoXuan_lsxp-Zhe_yi_feng-Ding_jun_shan-dxjky-sizhu_student_03_dxjky_1.wav<|EOA|>\n", "uuid": "128_Compmusic_07fe723399053f5f", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 131 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called laosheng and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_2017121718SongRuoXuan_lsxp-Zhe_yi_feng-Ding_jun_shan-dxjky-sizhu_student_04_dxjky_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_2017121718SongRuoXuan_lsxp-Zhe_yi_feng-Ding_jun_shan-dxjky-sizhu_student_04_dxjky_1.wav<|EOA|>\n", "uuid": "128_Compmusic_224e90743e8e8249", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 132 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called laosheng and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_2017121718SongRuoXuan_lsxp-Zhe_yi_feng-Ding_jun_shan-dxjky-sizhu_student_05_dxjky_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_2017121718SongRuoXuan_lsxp-Zhe_yi_feng-Ding_jun_shan-dxjky-sizhu_student_05_dxjky_1.wav<|EOA|>\n", "uuid": "128_Compmusic_7cc6d326c3621f48", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 133 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This is a jingju a cappella singing aria. The role type in it is called laosheng and the Shengqiang used for it is xipi. The Banshi includes liushui. \n audio prompt: <|SOA|>128_Compmusic_2017121718SongRuoXuan_lsxp-Zhe_yi_feng-Ding_jun_shan-dxjky-sizhu_student_06_mentougou_1.wav_prompt<|EOA|> \n", "output": "audio: <|SOA|>128_Compmusic_2017121718SongRuoXuan_lsxp-Zhe_yi_feng-Ding_jun_shan-dxjky-sizhu_student_06_mentougou_1.wav<|EOA|>\n", "uuid": "128_Compmusic_ed55c97b263135db", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/sft_data-128_Compmusic-Jingju_Audio_Recordings_Collection-text2music_generation.jsonl
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128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/sft_data-128_Compmusic-Jingju_Audio_Recordings_Collection_with_prompt-text2music_generation.jsonl
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128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/sft_data-128_Compmusic-Mridangam_Stroke_Dataset-text2music_generation.jsonl
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128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/sft_data-128_Compmusic-Mridangam_Tani-avarthanam_Dataset-text2music_generation.jsonl
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128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/sft_data-128_Compmusic-Saraga_Carnatic_and_Hindustani_collections-text2music_generation.jsonl
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128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/sft_data-128_Compmusic-Saraga_Carnatic_and_Hindustani_collections_with_prompt-text2music_generation.jsonl
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128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/4-text2music_generation/sft_data-128_Compmusic-Tabla_Solo_Dataset-text2music_generation.jsonl
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| 1 |
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{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the benaras gharana. It is a prapat gat type of composition. It is set to the teental tala. It features a mix rhythmic structure. \n", "output": "audio: <|SOA|>128_Compmusic_ben_27<|EOA|>\n", "uuid": "128_Compmusic_b0ba1dfe581ecb0c", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 2 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the dilli gharana. It is a quayda type of composition. It is set to the teental tala. It features a tryasra rhythmic structure. \n", "output": "audio: <|SOA|>128_Compmusic_dli_1<|EOA|>\n", "uuid": "128_Compmusic_0bb472ed7f916b3a", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 3 |
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{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the benaras gharana. It is a quayda type of composition. It is set to the teental tala. It features a chatusra rhythmic structure. \n", "output": "audio: <|SOA|>128_Compmusic_ben_22<|EOA|>\n", "uuid": "128_Compmusic_e0ee58681b7ab1a1", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 4 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the ajrada gharana. It is a quayda type of composition. It is set to the teental tala. It features a tryasra rhythmic structure. \n", "output": "audio: <|SOA|>128_Compmusic_ajr_12<|EOA|>\n", "uuid": "128_Compmusic_c5ec7b54836e7a53", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 5 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the punjab gharana. It is a madhumakkhi gat type of composition. It is set to the teental tala. It features a chatusra rhythmic structure. \n", "output": "audio: <|SOA|>128_Compmusic_pjb_86<|EOA|>\n", "uuid": "128_Compmusic_7e00828eb49eb198", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 6 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the benaras gharana. It is a rela type of composition. It is set to the teental tala. It features a chatusra rhythmic structure. \n", "output": "audio: <|SOA|>128_Compmusic_ben_20<|EOA|>\n", "uuid": "128_Compmusic_0e936c39789e5013", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 7 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the ajrada gharana. It is a quayda type of composition. It is set to the teental tala. It features a chatusra rhythmic structure. \n", "output": "audio: <|SOA|>128_Compmusic_ajr_10_dli<|EOA|>\n", "uuid": "128_Compmusic_cc7e0c45086e6692", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 8 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the punjab gharana. It is a 'purani gat' deepchandi ang type of composition. It is set to the teental tala. \n", "output": "audio: <|SOA|>128_Compmusic_pjb_82<|EOA|>\n", "uuid": "128_Compmusic_38b1c23d51cb8ed9", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 9 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the ajrada gharana. It is a quayda type of composition. It is set to the teental tala. It features a chatusra rhythmic structure. \n", "output": "audio: <|SOA|>128_Compmusic_ajr_11<|EOA|>\n", "uuid": "128_Compmusic_d3ed74a3bec04910", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 10 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the lucknow gharana. It is a gatparan type of composition. It is set to the teental tala. It features a chatusra rhythmic structure. \n", "output": "audio: <|SOA|>128_Compmusic_luc_14<|EOA|>\n", "uuid": "128_Compmusic_a958c27f15392af9", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 11 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the dilli gharana. It is a ladi type of composition. It is set to the teental tala. \n", "output": "audio: <|SOA|>128_Compmusic_dli_6<|EOA|>\n", "uuid": "128_Compmusic_7b542ffbd0fc9c66", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 12 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the punjab gharana. It is a chakradar type of composition. It is set to the teental tala. \n", "output": "audio: <|SOA|>128_Compmusic_pjb_79<|EOA|>\n", "uuid": "128_Compmusic_1e22d17fe64603ff", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 13 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the punjab gharana. It is a 'purani gat' deepchandi ang type of composition. It is set to the teental tala. \n", "output": "audio: <|SOA|>128_Compmusic_pjb_81<|EOA|>\n", "uuid": "128_Compmusic_07bb8ae0922bcc43", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 14 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the farukkhabad gharana. It is a lambchhad chakradar type of composition. It is set to the teental tala. \n", "output": "audio: <|SOA|>128_Compmusic_frk_30<|EOA|>\n", "uuid": "128_Compmusic_93f069ebdebc5190", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 15 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the dilli gharana. It is a gat type of composition. It is set to the teental tala. \n", "output": "audio: <|SOA|>128_Compmusic_dli_4<|EOA|>\n", "uuid": "128_Compmusic_66bd93a518da58e6", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 16 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the benaras gharana. It is a gat tukda type of composition. It is set to the teental tala. It features a tryasra rhythmic structure. \n", "output": "audio: <|SOA|>128_Compmusic_ben_19<|EOA|>\n", "uuid": "128_Compmusic_ce5426bd62b9e1da", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 17 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the punjab gharana. It is a lahori gat type of composition. It is set to the teental tala. It features a chatusra rhythmic structure. \n", "output": "audio: <|SOA|>128_Compmusic_pjb_85<|EOA|>\n", "uuid": "128_Compmusic_261845d959939e05", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 18 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the benaras gharana. It is a fard gat type of composition. It is set to the teental tala. \n", "output": "audio: <|SOA|>128_Compmusic_ben_24<|EOA|>\n", "uuid": "128_Compmusic_44d897a24c03b8b9", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 19 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the dilli gharana. It is a quayda-ang-gat type of composition. It is set to the teental tala. \n", "output": "audio: <|SOA|>128_Compmusic_dli_3<|EOA|>\n", "uuid": "128_Compmusic_a3d6cf2fbdb7f1ff", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 20 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the dilli gharana. It is a joda type of composition. It is set to the teental tala. \n", "output": "audio: <|SOA|>128_Compmusic_dli_5<|EOA|>\n", "uuid": "128_Compmusic_e42dd0cf2d10b839", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 21 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the punjab gharana. It is a gat in deepchandi ang type of composition. It is set to the teental tala. \n", "output": "audio: <|SOA|>128_Compmusic_pjb_84<|EOA|>\n", "uuid": "128_Compmusic_9ae7d607da4a6968", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 22 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the benaras gharana. It is a khand gat type of composition. It is set to the teental tala. \n", "output": "audio: <|SOA|>128_Compmusic_ben_23<|EOA|>\n", "uuid": "128_Compmusic_345df1512980a274", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
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| 23 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the benaras gharana. It is a rela type of composition. It is set to the teental tala. It features a chatusra rhythmic structure. \n", "output": "audio: <|SOA|>128_Compmusic_ben_21<|EOA|>\n", "uuid": "128_Compmusic_63e5ce161c95466d", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 24 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the benaras gharana. It is a prapat gat type of composition. It is set to the teental tala. It features a mix rhythmic structure. \n", "output": "audio: <|SOA|>128_Compmusic_ben_25<|EOA|>\n", "uuid": "128_Compmusic_8b3d9cfc7c29b4d9", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 25 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the punjab gharana. It is a joda type of composition. It is set to the teental tala. \n", "output": "audio: <|SOA|>128_Compmusic_pjb_83<|EOA|>\n", "uuid": "128_Compmusic_2dc9f48236978936", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 26 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the punjab gharana. It is a quayda type of composition. It is set to the teental tala. It features a chatusra rhythmic structure. \n", "output": "audio: <|SOA|>128_Compmusic_pjb_75<|EOA|>\n", "uuid": "128_Compmusic_c6a81aab6c0bdc0d", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 27 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the benaras gharana. It is a prapat gat type of composition. It is set to the teental tala. \n", "output": "audio: <|SOA|>128_Compmusic_ben_26<|EOA|>\n", "uuid": "128_Compmusic_86590ed0d8c86735", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 28 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the lucknow gharana. It is a tidhari gat type of composition. It is set to the teental tala. It features a tryasra rhythmic structure. \n", "output": "audio: <|SOA|>128_Compmusic_luc_18<|EOA|>\n", "uuid": "128_Compmusic_e199204ad49cea09", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 29 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the punjab gharana. It is a gat tukda type of composition. It is set to the teental tala. \n", "output": "audio: <|SOA|>128_Compmusic_pjb_80<|EOA|>\n", "uuid": "128_Compmusic_5f7b4df269908873", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 30 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the ajrada gharana. It is a quayda type of composition. It is set to the teental tala. It features a tryasra rhythmic structure. \n", "output": "audio: <|SOA|>128_Compmusic_ajr_9<|EOA|>\n", "uuid": "128_Compmusic_5886ef22b0ea31ac", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 31 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the farukkhabad gharana. It is a dhudhari gat type of composition. It is set to the teental tala. \n", "output": "audio: <|SOA|>128_Compmusic_frk_28<|EOA|>\n", "uuid": "128_Compmusic_29b19238f9422eba", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 32 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the farukkhabad gharana. It is a lambchhad chakradar type of composition. It is set to the teental tala. \n", "output": "audio: <|SOA|>128_Compmusic_frk_31<|EOA|>\n", "uuid": "128_Compmusic_bb3b4ed27a735ec5", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 33 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the ajrada gharana. It is a quayda type of composition. It is set to the teental tala. It features a chatusra rhythmic structure. \n", "output": "audio: <|SOA|>128_Compmusic_ajr_10_ajr<|EOA|>\n", "uuid": "128_Compmusic_ea6b2088800c184d", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 34 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the lucknow gharana. It is a gat type of composition. It is set to the teental tala. It features a chatusra rhythmic structure. \n", "output": "audio: <|SOA|>128_Compmusic_luc_17<|EOA|>\n", "uuid": "128_Compmusic_6a541c4ad428fcad", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 35 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the dilli gharana. It is a quayda type of composition. It is set to the teental tala. It features a chatusra rhythmic structure. \n", "output": "audio: <|SOA|>128_Compmusic_dli_2<|EOA|>\n", "uuid": "128_Compmusic_e27eccfe7619eab7", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 36 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the lucknow gharana. It is a chakradhar type of composition. It is set to the teental tala. It features a chatusra rhythmic structure. \n", "output": "audio: <|SOA|>128_Compmusic_luc_16<|EOA|>\n", "uuid": "128_Compmusic_fb847a954134ee8e", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 37 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the punjab gharana. It is a joda type of composition. It is set to the teental tala. It features a chatusra rhythmic structure. \n", "output": "audio: <|SOA|>128_Compmusic_pjb_77<|EOA|>\n", "uuid": "128_Compmusic_158109746c08e242", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
| 38 |
+
{"instruction": "Please generate a piece of music by the following decription.", "input": "This tabla solo belongs to the punjab gharana. It is a gat in deepchandi ang type of composition. It is set to the teental tala. It features a chatusra rhythmic structure. \n", "output": "audio: <|SOA|>128_Compmusic_pjb_76<|EOA|>\n", "uuid": "128_Compmusic_b309ddc1e7b3a532", "split": ["test"], "task_type": {"major": ["Cross-modal_Generative_Tasks"], "minor": ["text2music_generation"]}, "domain": "music", "source": ["meeting"], "other": {"tag": ""}}
|
128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/Arab-Andalusian_Music_Corpus_cut_prompt/audio/2c44caec-ea8c-474b-9dda-c55c660df969_41_prompt.mp3
ADDED
|
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:466de6405964abe14337353960382895aa61b79cb3c5a6da2d037ac870965a5a
|
| 3 |
+
size 93899
|
128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/Arab-Andalusian_Music_Corpus_cut_prompt/audio/e4e3fc3c-8d57-4123-b14c-236110dde3c0_17_prompt.mp3
ADDED
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@@ -0,0 +1,3 @@
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+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:b127c6d11c3e6c27b5d19c64cc0399745bb4e795ea82cafb480037c1175bd327
|
| 3 |
+
size 92736
|
128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/Arab-Andalusian_Music_Corpus_cut_prompt/audio/e79c1615-7172-43a4-acdf-e9475c224edf_5_prompt.mp3
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:70793cf17dbbf4098d6695bf705b3c837435c052be89ec38ea5d1b0009f0a9fa
|
| 3 |
+
size 93504
|
128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/Arab-Andalusian_Music_Corpus_cut_prompt/audio/eefa9d7d-6172-4c90-ba0c-ef9a41faa95d_47_prompt.mp3
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6bd4bb29204b5fadb73b55921c73c669598b47da96fca49f9586163d0b5e5e9b
|
| 3 |
+
size 91190
|
128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/audioid2path-Jingju_Audio_Recordings_Collection.scp
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/download_and_cut_audio.py
ADDED
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@@ -0,0 +1,635 @@
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|
| 1 |
+
import os
|
| 2 |
+
import json
|
| 3 |
+
import librosa
|
| 4 |
+
import requests
|
| 5 |
+
import soundfile as sf
|
| 6 |
+
from bs4 import BeautifulSoup
|
| 7 |
+
from concurrent.futures import ThreadPoolExecutor, as_completed
|
| 8 |
+
|
| 9 |
+
def download_jingju_metadata_from_musicbrainz(SAVE_PATH):
|
| 10 |
+
|
| 11 |
+
base_url = "https://musicbrainz.org"
|
| 12 |
+
collection_url = base_url + "/collection/40d0978b-0796-4734-9fd4-2b3ebe0f664c"
|
| 13 |
+
|
| 14 |
+
save_dir = os.path.join(SAVE_PATH, 'Jingju_Audio_Recordings_Collection_metadata')
|
| 15 |
+
os.makedirs(save_dir, exist_ok=True)
|
| 16 |
+
|
| 17 |
+
response = requests.get(collection_url)
|
| 18 |
+
soup = BeautifulSoup(response.content, 'html.parser')
|
| 19 |
+
|
| 20 |
+
rows = soup.select('#content form table tbody tr[role="row"]')
|
| 21 |
+
for row in rows:
|
| 22 |
+
release_tag = row.find_all('a')[1]
|
| 23 |
+
release_path = release_tag['href']
|
| 24 |
+
release_name = release_tag.get_text().strip()
|
| 25 |
+
|
| 26 |
+
json_file_path = os.path.join(save_dir, f"{release_name}.json")
|
| 27 |
+
if os.path.exists(json_file_path):
|
| 28 |
+
continue
|
| 29 |
+
|
| 30 |
+
release_url = base_url + release_path
|
| 31 |
+
release_response = requests.get(release_url)
|
| 32 |
+
release_soup = BeautifulSoup(release_response.content, 'html.parser')
|
| 33 |
+
|
| 34 |
+
metadata_dict = {}
|
| 35 |
+
title_rows = release_soup.select('#content > div:nth-of-type(4) table tbody tr')
|
| 36 |
+
for title_row in title_rows:
|
| 37 |
+
if 'class' in title_row.attrs and 'subh' in title_row['class']:
|
| 38 |
+
continue
|
| 39 |
+
|
| 40 |
+
title_td = title_row.find('td', class_='title wrap-anywhere')
|
| 41 |
+
if title_td:
|
| 42 |
+
title_tag = title_td.find('a')
|
| 43 |
+
if title_tag:
|
| 44 |
+
title_path = title_tag['href']
|
| 45 |
+
title_name = title_tag.get_text().strip()
|
| 46 |
+
|
| 47 |
+
tags_url = base_url + title_path + "/tags"
|
| 48 |
+
tags_response = requests.get(tags_url)
|
| 49 |
+
tags_soup = BeautifulSoup(tags_response.content, 'html.parser')
|
| 50 |
+
|
| 51 |
+
tag_list = []
|
| 52 |
+
tag_items = tags_soup.select('#content > div:nth-of-type(3) > div > ul li')
|
| 53 |
+
for tag_item in tag_items:
|
| 54 |
+
tag_text = tag_item.find('a').get_text().strip()
|
| 55 |
+
if ': ' in tag_text:
|
| 56 |
+
tag_value = tag_text.split(': ', 1)[-1]
|
| 57 |
+
tag_list.append(tag_value)
|
| 58 |
+
|
| 59 |
+
metadata_dict[title_name] = tag_list
|
| 60 |
+
|
| 61 |
+
with open(json_file_path, 'w', encoding='utf-8') as json_file:
|
| 62 |
+
json.dump(metadata_dict, json_file, ensure_ascii=False, indent=4)
|
| 63 |
+
|
| 64 |
+
print(f"'{release_name}' has been saved to {json_file_path}.")
|
| 65 |
+
|
| 66 |
+
def split_audio_file(file_path, output_dir, audio_type, segment_duration=60, max_final_segment_duration=90):
|
| 67 |
+
|
| 68 |
+
suffixname = '.' + audio_type
|
| 69 |
+
|
| 70 |
+
y, sr = librosa.load(file_path, sr=None)
|
| 71 |
+
|
| 72 |
+
total_duration = len(y) / sr
|
| 73 |
+
|
| 74 |
+
remaining_duration = total_duration
|
| 75 |
+
segment_count = 0
|
| 76 |
+
|
| 77 |
+
while remaining_duration > max_final_segment_duration:
|
| 78 |
+
remaining_duration -= segment_duration
|
| 79 |
+
segment_count += 1
|
| 80 |
+
|
| 81 |
+
segment_count += 1
|
| 82 |
+
|
| 83 |
+
base_name = os.path.splitext(os.path.basename(file_path))[0].replace(' ', '')
|
| 84 |
+
existing_segments = [
|
| 85 |
+
fname for fname in os.listdir(output_dir)
|
| 86 |
+
if fname.startswith(base_name) and fname.endswith(suffixname)
|
| 87 |
+
]
|
| 88 |
+
|
| 89 |
+
if len(existing_segments) == segment_count:
|
| 90 |
+
print(f"Skipped {base_name} in {output_dir}: already processed.")
|
| 91 |
+
return 0
|
| 92 |
+
|
| 93 |
+
for i in range(segment_count - 1):
|
| 94 |
+
start_sample = i * segment_duration * sr
|
| 95 |
+
end_sample = (i + 1) * segment_duration * sr
|
| 96 |
+
segment = y[int(start_sample):int(end_sample)]
|
| 97 |
+
|
| 98 |
+
output_filename = f"{base_name}_{i+1}{suffixname}"
|
| 99 |
+
output_filepath = os.path.join(output_dir, output_filename)
|
| 100 |
+
sf.write(output_filepath, segment, sr)
|
| 101 |
+
|
| 102 |
+
last_segment_start = (segment_count - 1) * segment_duration * sr
|
| 103 |
+
last_segment = y[int(last_segment_start):]
|
| 104 |
+
|
| 105 |
+
output_filename = f"{base_name}_{segment_count}{suffixname}"
|
| 106 |
+
output_filepath = os.path.join(output_dir, output_filename)
|
| 107 |
+
sf.write(output_filepath, last_segment, sr)
|
| 108 |
+
|
| 109 |
+
print(f"Processed {base_name} in {output_dir}: {segment_count} segments created.")
|
| 110 |
+
|
| 111 |
+
def process_Jingju_Audio_Recordings_Collection_cut_files(DATABASE_PATH, SAVE_PATH):
|
| 112 |
+
|
| 113 |
+
collection_dir = os.path.join(DATABASE_PATH, 'Jingju_Audio_Recordings_Collection', 'JingjuAudioRecordingsCollection')
|
| 114 |
+
|
| 115 |
+
with ThreadPoolExecutor(max_workers=6) as executor:
|
| 116 |
+
futures = []
|
| 117 |
+
|
| 118 |
+
for root, _, files in os.walk(collection_dir):
|
| 119 |
+
for file_name in files:
|
| 120 |
+
if file_name.endswith('.flac'):
|
| 121 |
+
full_path = os.path.join(root, file_name)
|
| 122 |
+
latter_path = full_path.split(collection_dir)[-1]
|
| 123 |
+
folder_name = latter_path.split('/')[1]
|
| 124 |
+
output_folder_path = os.path.join(SAVE_PATH, 'Jingju_Audio_Recordings_Collection_cut', folder_name)
|
| 125 |
+
os.makedirs(output_folder_path, exist_ok=True)
|
| 126 |
+
|
| 127 |
+
futures.append(executor.submit(split_audio_file, full_path, output_folder_path, 'flac'))
|
| 128 |
+
|
| 129 |
+
for future in as_completed(futures):
|
| 130 |
+
try:
|
| 131 |
+
future.result()
|
| 132 |
+
except Exception as e:
|
| 133 |
+
print(f"Error occurred: {e}")
|
| 134 |
+
|
| 135 |
+
def process_Jingju_Audio_Recordings_Collection_cut_folder_name(SAVE_PATH):
|
| 136 |
+
JINGJU_CUT_PATH = os.path.join(SAVE_PATH, 'Jingju_Audio_Recordings_Collection_cut')
|
| 137 |
+
|
| 138 |
+
for folder_name in os.listdir(JINGJU_CUT_PATH):
|
| 139 |
+
folder_path = os.path.join(JINGJU_CUT_PATH, folder_name)
|
| 140 |
+
|
| 141 |
+
if os.path.isdir(folder_path):
|
| 142 |
+
new_folder_name = folder_name.replace(' ', '')
|
| 143 |
+
new_folder_path = os.path.join(JINGJU_CUT_PATH, new_folder_name)
|
| 144 |
+
|
| 145 |
+
os.rename(folder_path, new_folder_path)
|
| 146 |
+
|
| 147 |
+
def process_Jingju_Audio_Recordings_Collection_json_name(SAVE_PATH):
|
| 148 |
+
|
| 149 |
+
JINGJU_METADATA_PATH = os.path.join(SAVE_PATH, 'Jingju_Audio_Recordings_Collection_metadata')
|
| 150 |
+
|
| 151 |
+
for file_name in os.listdir(JINGJU_METADATA_PATH):
|
| 152 |
+
file_path = os.path.join(JINGJU_METADATA_PATH, file_name)
|
| 153 |
+
|
| 154 |
+
if os.path.isfile(file_path) and file_name.endswith('.json'):
|
| 155 |
+
new_file_name = file_name.replace(' ', '')
|
| 156 |
+
new_file_path = os.path.join(JINGJU_METADATA_PATH, new_file_name)
|
| 157 |
+
|
| 158 |
+
if new_file_name != file_name:
|
| 159 |
+
os.rename(file_path, new_file_path)
|
| 160 |
+
|
| 161 |
+
with open(new_file_path, 'r', encoding='utf-8') as f:
|
| 162 |
+
data = json.load(f)
|
| 163 |
+
|
| 164 |
+
new_data = {}
|
| 165 |
+
for key, value in data.items():
|
| 166 |
+
new_key = key.replace(' ', '')
|
| 167 |
+
new_data[new_key] = value
|
| 168 |
+
|
| 169 |
+
with open(new_file_path, 'w', encoding='utf-8') as f:
|
| 170 |
+
json.dump(new_data, f, ensure_ascii=False, indent=4)
|
| 171 |
+
|
| 172 |
+
def create_Jingju_Audio_Recordings_Collection_cut_prompt_files(SAVE_PATH):
|
| 173 |
+
jingju_cut_path = os.path.join(SAVE_PATH, 'Jingju_Audio_Recordings_Collection_cut')
|
| 174 |
+
jingju_cut_prompt_path = os.path.join(SAVE_PATH, 'Jingju_Audio_Recordings_Collection_cut_prompt')
|
| 175 |
+
|
| 176 |
+
if not os.path.exists(jingju_cut_prompt_path):
|
| 177 |
+
os.makedirs(jingju_cut_prompt_path)
|
| 178 |
+
|
| 179 |
+
for folder_name in os.listdir(jingju_cut_path):
|
| 180 |
+
folder_path = os.path.join(jingju_cut_path, folder_name)
|
| 181 |
+
if os.path.isdir(folder_path):
|
| 182 |
+
prompt_folder_path = os.path.join(jingju_cut_prompt_path, folder_name)
|
| 183 |
+
if not os.path.exists(prompt_folder_path):
|
| 184 |
+
os.makedirs(prompt_folder_path)
|
| 185 |
+
|
| 186 |
+
for file_name in os.listdir(folder_path):
|
| 187 |
+
if file_name.endswith('.flac'):
|
| 188 |
+
|
| 189 |
+
new_file_name = f"{os.path.splitext(file_name)[0]}_prompt.flac"
|
| 190 |
+
new_file_path = os.path.join(prompt_folder_path, new_file_name)
|
| 191 |
+
|
| 192 |
+
if new_file_name not in os.listdir(prompt_folder_path):
|
| 193 |
+
|
| 194 |
+
file_path = os.path.join(folder_path, file_name)
|
| 195 |
+
|
| 196 |
+
y, sr = librosa.load(file_path, sr=None, mono=False)
|
| 197 |
+
|
| 198 |
+
ten_seconds = y[:, :sr * 10] if y.ndim > 1 else y[:sr * 10]
|
| 199 |
+
|
| 200 |
+
sf.write(new_file_path, ten_seconds, sr)
|
| 201 |
+
|
| 202 |
+
print(f"Saved: {folder_name}")
|
| 203 |
+
|
| 204 |
+
def process_Saraga_Carnatic_and_Hindustani_collections_cut_files(DATABASE_PATH, SAVE_PATH):
|
| 205 |
+
|
| 206 |
+
with ThreadPoolExecutor(max_workers=6) as executor:
|
| 207 |
+
futures = []
|
| 208 |
+
|
| 209 |
+
for tradition in ['carnatic', 'hindustani']:
|
| 210 |
+
tradition_dir_path = os.path.join(DATABASE_PATH, 'Saraga_Carnatic_and_Hindustani_collections/saraga1.0', tradition)
|
| 211 |
+
|
| 212 |
+
for subdir in os.listdir(tradition_dir_path):
|
| 213 |
+
subdir_path = os.path.join(tradition_dir_path, subdir)
|
| 214 |
+
|
| 215 |
+
for file in os.listdir(subdir_path):
|
| 216 |
+
if file.endswith('.mp3'):
|
| 217 |
+
|
| 218 |
+
full_path = os.path.join(subdir_path, file)
|
| 219 |
+
output_folder_path = os.path.join(SAVE_PATH, 'Saraga_Carnatic_and_Hindustani_collections_cut/saraga1.0', tradition, subdir)
|
| 220 |
+
|
| 221 |
+
os.makedirs(output_folder_path, exist_ok=True)
|
| 222 |
+
|
| 223 |
+
futures.append(executor.submit(split_audio_file, full_path, output_folder_path, 'mp3'))
|
| 224 |
+
|
| 225 |
+
for future in as_completed(futures):
|
| 226 |
+
try:
|
| 227 |
+
future.result()
|
| 228 |
+
except Exception as e:
|
| 229 |
+
print(f"Error occurred: {e}")
|
| 230 |
+
|
| 231 |
+
def create_Saraga_Carnatic_and_Hindustani_collections_cut_prompt_files(SAVE_PATH):
|
| 232 |
+
|
| 233 |
+
Saraga_cut_path = os.path.join(SAVE_PATH, 'Saraga_Carnatic_and_Hindustani_collections_cut/saraga1.0')
|
| 234 |
+
Saraga_cut_prompt_path = os.path.join(SAVE_PATH, 'Saraga_Carnatic_and_Hindustani_collections_cut_prompt/saraga1.0')
|
| 235 |
+
|
| 236 |
+
if not os.path.exists(Saraga_cut_prompt_path):
|
| 237 |
+
os.makedirs(Saraga_cut_prompt_path)
|
| 238 |
+
|
| 239 |
+
for tradition in os.listdir(Saraga_cut_path):
|
| 240 |
+
tradition_path = os.path.join(Saraga_cut_path, tradition)
|
| 241 |
+
for folder_name in os.listdir(tradition_path):
|
| 242 |
+
|
| 243 |
+
folder_path = os.path.join(tradition_path, folder_name)
|
| 244 |
+
prompt_folder_path = os.path.join(Saraga_cut_prompt_path, tradition, folder_name)
|
| 245 |
+
|
| 246 |
+
if not os.path.exists(prompt_folder_path):
|
| 247 |
+
os.makedirs(prompt_folder_path)
|
| 248 |
+
|
| 249 |
+
for file_name in os.listdir(folder_path):
|
| 250 |
+
if file_name.endswith('.mp3'):
|
| 251 |
+
|
| 252 |
+
new_file_name = f"{os.path.splitext(file_name)[0]}_prompt.mp3"
|
| 253 |
+
new_file_path = os.path.join(prompt_folder_path, new_file_name)
|
| 254 |
+
|
| 255 |
+
if new_file_name not in os.listdir(prompt_folder_path):
|
| 256 |
+
|
| 257 |
+
file_path = os.path.join(folder_path, file_name)
|
| 258 |
+
|
| 259 |
+
y, sr = librosa.load(file_path, sr=None, mono=False)
|
| 260 |
+
|
| 261 |
+
ten_seconds = y[:, :sr * 10] if y.ndim > 1 else y[:sr * 10]
|
| 262 |
+
|
| 263 |
+
sf.write(new_file_path, ten_seconds, sr)
|
| 264 |
+
|
| 265 |
+
print(f"Saved: {tradition}/{folder_name}")
|
| 266 |
+
|
| 267 |
+
def process_Carnatic_Varnam_Dataset_cut_files(DATABASE_PATH, SAVE_PATH):
|
| 268 |
+
|
| 269 |
+
audio_dir_path = os.path.join(DATABASE_PATH, 'Carnatic_Varnam_Dataset/carnatic_varnam_1.0/Audio/')
|
| 270 |
+
|
| 271 |
+
output_folder_path = os.path.join(SAVE_PATH, 'Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/')
|
| 272 |
+
os.makedirs(output_folder_path, exist_ok=True)
|
| 273 |
+
|
| 274 |
+
with ThreadPoolExecutor(max_workers=6) as executor:
|
| 275 |
+
futures = []
|
| 276 |
+
|
| 277 |
+
for file in os.listdir(audio_dir_path):
|
| 278 |
+
if file.endswith('.mp3'):
|
| 279 |
+
|
| 280 |
+
full_path = os.path.join(audio_dir_path, file)
|
| 281 |
+
futures.append(executor.submit(split_audio_file, full_path, output_folder_path, 'mp3'))
|
| 282 |
+
|
| 283 |
+
for future in as_completed(futures):
|
| 284 |
+
try:
|
| 285 |
+
future.result()
|
| 286 |
+
except Exception as e:
|
| 287 |
+
print(f"Error occurred: {e}")
|
| 288 |
+
|
| 289 |
+
def create_Carnatic_Varnam_Dataset_cut_prompt_files(SAVE_PATH):
|
| 290 |
+
|
| 291 |
+
Carnatic_cut_path = os.path.join(SAVE_PATH, 'Carnatic_Varnam_Dataset_cut/carnatic_varnam_1.0/Audio/')
|
| 292 |
+
Carnatic_cut_prompt_path = os.path.join(SAVE_PATH, 'Carnatic_Varnam_Dataset_cut_prompt/carnatic_varnam_1.0/Audio/')
|
| 293 |
+
|
| 294 |
+
if not os.path.exists(Carnatic_cut_prompt_path):
|
| 295 |
+
os.makedirs(Carnatic_cut_prompt_path)
|
| 296 |
+
|
| 297 |
+
for file_name in os.listdir(Carnatic_cut_path):
|
| 298 |
+
if file_name.endswith('.mp3'):
|
| 299 |
+
|
| 300 |
+
new_file_name = f"{os.path.splitext(file_name)[0]}_prompt.mp3"
|
| 301 |
+
new_file_path = os.path.join(Carnatic_cut_prompt_path, new_file_name)
|
| 302 |
+
|
| 303 |
+
if new_file_name not in os.listdir(Carnatic_cut_prompt_path):
|
| 304 |
+
|
| 305 |
+
file_path = os.path.join(Carnatic_cut_path, file_name)
|
| 306 |
+
|
| 307 |
+
y, sr = librosa.load(file_path, sr=None, mono=False)
|
| 308 |
+
|
| 309 |
+
ten_seconds = y[:, :sr * 10] if y.ndim > 1 else y[:sr * 10]
|
| 310 |
+
|
| 311 |
+
sf.write(new_file_path, ten_seconds, sr)
|
| 312 |
+
|
| 313 |
+
print(f"Saved: {file_name}")
|
| 314 |
+
|
| 315 |
+
def process_Carnatic_Music_Rhythm_Dataset_cut_files(DATABASE_PATH, SAVE_PATH):
|
| 316 |
+
|
| 317 |
+
audio_dir_path = os.path.join(DATABASE_PATH, 'Carnatic_Music_Rhythm_Dataset/CMR_full_dataset_1.0/audio')
|
| 318 |
+
|
| 319 |
+
output_folder_path = os.path.join(SAVE_PATH, 'Carnatic_Music_Rhythm_Dataset_cut/CMR_full_dataset_1.0/audio')
|
| 320 |
+
os.makedirs(output_folder_path, exist_ok=True)
|
| 321 |
+
|
| 322 |
+
with ThreadPoolExecutor(max_workers=6) as executor:
|
| 323 |
+
futures = []
|
| 324 |
+
|
| 325 |
+
for file in os.listdir(audio_dir_path):
|
| 326 |
+
if file.endswith('.wav'):
|
| 327 |
+
|
| 328 |
+
full_path = os.path.join(audio_dir_path, file)
|
| 329 |
+
futures.append(executor.submit(split_audio_file, full_path, output_folder_path, 'wav'))
|
| 330 |
+
|
| 331 |
+
for future in as_completed(futures):
|
| 332 |
+
try:
|
| 333 |
+
future.result()
|
| 334 |
+
except Exception as e:
|
| 335 |
+
print(f"Error occurred: {e}")
|
| 336 |
+
|
| 337 |
+
def create_Carnatic_Music_Rhythm_Dataset_cut_prompt_files(SAVE_PATH):
|
| 338 |
+
|
| 339 |
+
Carnatic_cut_path = os.path.join(SAVE_PATH, 'Carnatic_Music_Rhythm_Dataset_cut/CMR_full_dataset_1.0/audio')
|
| 340 |
+
Carnatic_cut_prompt_path = os.path.join(SAVE_PATH, 'Carnatic_Music_Rhythm_Dataset_cut_prompt/CMR_full_dataset_1.0/audio')
|
| 341 |
+
|
| 342 |
+
if not os.path.exists(Carnatic_cut_prompt_path):
|
| 343 |
+
os.makedirs(Carnatic_cut_prompt_path)
|
| 344 |
+
|
| 345 |
+
for file_name in os.listdir(Carnatic_cut_path):
|
| 346 |
+
if file_name.endswith('.wav'):
|
| 347 |
+
|
| 348 |
+
new_file_name = f"{os.path.splitext(file_name)[0]}_prompt.wav"
|
| 349 |
+
new_file_path = os.path.join(Carnatic_cut_prompt_path, new_file_name)
|
| 350 |
+
|
| 351 |
+
if new_file_name not in os.listdir(Carnatic_cut_prompt_path):
|
| 352 |
+
|
| 353 |
+
file_path = os.path.join(Carnatic_cut_path, file_name)
|
| 354 |
+
|
| 355 |
+
y, sr = librosa.load(file_path, sr=None, mono=False)
|
| 356 |
+
|
| 357 |
+
ten_seconds = y[:, :sr * 10] if y.ndim > 1 else y[:sr * 10]
|
| 358 |
+
|
| 359 |
+
sf.write(new_file_path, ten_seconds, sr)
|
| 360 |
+
|
| 361 |
+
print(f"Saved: {file_name}")
|
| 362 |
+
|
| 363 |
+
def process_Hindustani_Music_Rhythm_Dataset_cut_files(DATABASE_PATH, SAVE_PATH):
|
| 364 |
+
|
| 365 |
+
audio_dir_path = os.path.join(DATABASE_PATH, 'Hindustani_Music_Rhythm_Dataset/HMR_1.0/audio')
|
| 366 |
+
|
| 367 |
+
output_folder_path = os.path.join(SAVE_PATH, 'Hindustani_Music_Rhythm_Dataset_cut/HMR_1.0/audio')
|
| 368 |
+
os.makedirs(output_folder_path, exist_ok=True)
|
| 369 |
+
|
| 370 |
+
with ThreadPoolExecutor(max_workers=6) as executor:
|
| 371 |
+
futures = []
|
| 372 |
+
|
| 373 |
+
for file in os.listdir(audio_dir_path):
|
| 374 |
+
if file.endswith('.wav'):
|
| 375 |
+
|
| 376 |
+
full_path = os.path.join(audio_dir_path, file)
|
| 377 |
+
futures.append(executor.submit(split_audio_file, full_path, output_folder_path, 'wav'))
|
| 378 |
+
|
| 379 |
+
for future in as_completed(futures):
|
| 380 |
+
try:
|
| 381 |
+
future.result()
|
| 382 |
+
except Exception as e:
|
| 383 |
+
print(f"Error occurred: {e}")
|
| 384 |
+
|
| 385 |
+
def create_Hindustani_Music_Rhythm_Dataset_cut_prompt_files(SAVE_PATH):
|
| 386 |
+
|
| 387 |
+
Hindustani_cut_path = os.path.join(SAVE_PATH, 'Hindustani_Music_Rhythm_Dataset_cut/HMR_1.0/audio')
|
| 388 |
+
Hindustani_cut_prompt_path = os.path.join(SAVE_PATH, 'Hindustani_Music_Rhythm_Dataset_cut_prompt/HMR_1.0/audio')
|
| 389 |
+
|
| 390 |
+
if not os.path.exists(Hindustani_cut_prompt_path):
|
| 391 |
+
os.makedirs(Hindustani_cut_prompt_path)
|
| 392 |
+
|
| 393 |
+
for file_name in os.listdir(Hindustani_cut_path):
|
| 394 |
+
if file_name.endswith('.wav'):
|
| 395 |
+
|
| 396 |
+
new_file_name = f"{os.path.splitext(file_name)[0]}_prompt.wav"
|
| 397 |
+
new_file_path = os.path.join(Hindustani_cut_prompt_path, new_file_name)
|
| 398 |
+
|
| 399 |
+
if new_file_name not in os.listdir(Hindustani_cut_prompt_path):
|
| 400 |
+
|
| 401 |
+
file_path = os.path.join(Hindustani_cut_path, file_name)
|
| 402 |
+
|
| 403 |
+
y, sr = librosa.load(file_path, sr=None, mono=False)
|
| 404 |
+
|
| 405 |
+
ten_seconds = y[:, :sr * 10] if y.ndim > 1 else y[:sr * 10]
|
| 406 |
+
|
| 407 |
+
sf.write(new_file_path, ten_seconds, sr)
|
| 408 |
+
|
| 409 |
+
print(f"Saved: {file_name}")
|
| 410 |
+
|
| 411 |
+
def download_Arab_Andalusian_Dataset(DATABASE_PATH):
|
| 412 |
+
|
| 413 |
+
JSON_PATH = os.path.join(DATABASE_PATH + '/Arab-Andalusian_Music_Corpus', 'ArabAndalusianDataset/andalusian_description.json')
|
| 414 |
+
AUDIO_SAVE_PATH = os.path.join(DATABASE_PATH + '/Arab-Andalusian_Music_Corpus', 'audio')
|
| 415 |
+
|
| 416 |
+
os.makedirs(AUDIO_SAVE_PATH, exist_ok=True)
|
| 417 |
+
|
| 418 |
+
with open(JSON_PATH, 'r', encoding='utf-8') as json_file:
|
| 419 |
+
dataset = json.load(json_file)
|
| 420 |
+
download_num = 0
|
| 421 |
+
download_totalnum = len(dataset)
|
| 422 |
+
for entry in dataset:
|
| 423 |
+
download_num += 1
|
| 424 |
+
mbid = entry['mbid']
|
| 425 |
+
if f"{mbid}.mp3" not in os.listdir(AUDIO_SAVE_PATH):
|
| 426 |
+
archive_url = entry['archive_url']
|
| 427 |
+
if archive_url != '':
|
| 428 |
+
if not archive_url.startswith("http"):
|
| 429 |
+
archive_url = "https://" + archive_url
|
| 430 |
+
response = requests.get(archive_url)
|
| 431 |
+
if response.status_code != 200:
|
| 432 |
+
print(f"Failed to access {archive_url}. Skipping...")
|
| 433 |
+
continue
|
| 434 |
+
|
| 435 |
+
soup = BeautifulSoup(response.text, 'html.parser')
|
| 436 |
+
|
| 437 |
+
mp3_url = None
|
| 438 |
+
for link in soup.find_all('link', itemprop='associatedMedia'):
|
| 439 |
+
href = link.get('href')
|
| 440 |
+
if href.endswith('.mp3'):
|
| 441 |
+
mp3_url = href
|
| 442 |
+
break
|
| 443 |
+
|
| 444 |
+
if mp3_url:
|
| 445 |
+
mp3_name = f"{mbid}.mp3"
|
| 446 |
+
save_path = os.path.join(AUDIO_SAVE_PATH, mp3_name)
|
| 447 |
+
print(f"Downloading [{download_num}/{download_totalnum}] {mp3_name}...")
|
| 448 |
+
|
| 449 |
+
try:
|
| 450 |
+
mp3_response = requests.get(mp3_url)
|
| 451 |
+
mp3_response.raise_for_status()
|
| 452 |
+
|
| 453 |
+
with open(save_path, 'wb') as mp3_file:
|
| 454 |
+
mp3_file.write(mp3_response.content)
|
| 455 |
+
|
| 456 |
+
print(f"{mp3_name} downloaded successfully.")
|
| 457 |
+
except requests.exceptions.RequestException as e:
|
| 458 |
+
print(f"Failed to download {mp3_name}: {e}")
|
| 459 |
+
else:
|
| 460 |
+
print(f"No MP3 file found for {mbid} at {archive_url}.")
|
| 461 |
+
|
| 462 |
+
def process_Arab_Andalusian_Dataset_cut_files(DATABASE_PATH, SAVE_PATH):
|
| 463 |
+
|
| 464 |
+
audio_dir_path = os.path.join(DATABASE_PATH, 'Arab-Andalusian_Music_Corpus/audio')
|
| 465 |
+
|
| 466 |
+
output_folder_path = os.path.join(SAVE_PATH, 'Arab-Andalusian_Music_Corpus_cut/audio')
|
| 467 |
+
os.makedirs(output_folder_path, exist_ok=True)
|
| 468 |
+
|
| 469 |
+
with ThreadPoolExecutor(max_workers=6) as executor:
|
| 470 |
+
futures = []
|
| 471 |
+
|
| 472 |
+
for file in os.listdir(audio_dir_path):
|
| 473 |
+
if file.endswith('.mp3'):
|
| 474 |
+
|
| 475 |
+
full_path = os.path.join(audio_dir_path, file)
|
| 476 |
+
futures.append(executor.submit(split_audio_file, full_path, output_folder_path, 'mp3'))
|
| 477 |
+
|
| 478 |
+
for future in as_completed(futures):
|
| 479 |
+
try:
|
| 480 |
+
future.result()
|
| 481 |
+
except Exception as e:
|
| 482 |
+
print(f"Error occurred: {e}")
|
| 483 |
+
|
| 484 |
+
def create_Arab_Andalusian_Dataset_cut_prompt_files(SAVE_PATH):
|
| 485 |
+
|
| 486 |
+
Arab_cut_path = os.path.join(SAVE_PATH, 'Arab-Andalusian_Music_Corpus_cut/audio')
|
| 487 |
+
Arab_cut_prompt_path = os.path.join(SAVE_PATH, 'Arab-Andalusian_Music_Corpus_cut_prompt/audio')
|
| 488 |
+
|
| 489 |
+
if not os.path.exists(Arab_cut_prompt_path):
|
| 490 |
+
os.makedirs(Arab_cut_prompt_path)
|
| 491 |
+
|
| 492 |
+
for file_name in os.listdir(Arab_cut_path):
|
| 493 |
+
if file_name.endswith('.mp3'):
|
| 494 |
+
|
| 495 |
+
new_file_name = f"{os.path.splitext(file_name)[0]}_prompt.mp3"
|
| 496 |
+
new_file_path = os.path.join(Arab_cut_prompt_path, new_file_name)
|
| 497 |
+
|
| 498 |
+
if new_file_name not in os.listdir(Arab_cut_prompt_path):
|
| 499 |
+
|
| 500 |
+
file_path = os.path.join(Arab_cut_path, file_name)
|
| 501 |
+
|
| 502 |
+
y, sr = librosa.load(file_path, sr=None, mono=False)
|
| 503 |
+
|
| 504 |
+
ten_seconds = y[:, :sr * 10] if y.ndim > 1 else y[:sr * 10]
|
| 505 |
+
|
| 506 |
+
sf.write(new_file_path, ten_seconds, sr)
|
| 507 |
+
|
| 508 |
+
print(f"Saved: {file_name}")
|
| 509 |
+
|
| 510 |
+
def process_Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut_files(DATABASE_PATH, SAVE_PATH):
|
| 511 |
+
|
| 512 |
+
audio_dir_path = os.path.join(DATABASE_PATH, 'Jingju_A_Cappella_Singing_Audio_Extended_Dataset/part3/wav_left')
|
| 513 |
+
|
| 514 |
+
with ThreadPoolExecutor(max_workers=6) as executor:
|
| 515 |
+
futures = []
|
| 516 |
+
|
| 517 |
+
for folder_name in os.listdir(audio_dir_path):
|
| 518 |
+
folder_path = os.path.join(audio_dir_path, folder_name)
|
| 519 |
+
if os.path.isdir(folder_path):
|
| 520 |
+
for piece_dic in os.listdir(folder_path):
|
| 521 |
+
piece_path = os.path.join(folder_path, piece_dic)
|
| 522 |
+
if os.path.isdir(piece_path):
|
| 523 |
+
for file in os.listdir(piece_path):
|
| 524 |
+
|
| 525 |
+
if file.endswith('.wav'):
|
| 526 |
+
full_path = os.path.join(piece_path, file)
|
| 527 |
+
output_folder_path = os.path.join(SAVE_PATH, 'Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left', folder_name, piece_dic)
|
| 528 |
+
os.makedirs(output_folder_path, exist_ok=True)
|
| 529 |
+
|
| 530 |
+
futures.append(executor.submit(split_audio_file, full_path, output_folder_path, 'wav'))
|
| 531 |
+
|
| 532 |
+
for future in as_completed(futures):
|
| 533 |
+
try:
|
| 534 |
+
future.result()
|
| 535 |
+
except Exception as e:
|
| 536 |
+
print(f"Error occurred: {e}")
|
| 537 |
+
|
| 538 |
+
def create_Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut_prompt_files(SAVE_PATH):
|
| 539 |
+
|
| 540 |
+
Jingju_cut_path = os.path.join(SAVE_PATH, 'Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut/part3/wav_left')
|
| 541 |
+
Jingju_cut_prompt_path = os.path.join(SAVE_PATH, 'Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut_prompt/part3/wav_left')
|
| 542 |
+
|
| 543 |
+
if not os.path.exists(Jingju_cut_prompt_path):
|
| 544 |
+
os.makedirs(Jingju_cut_prompt_path)
|
| 545 |
+
|
| 546 |
+
for folder_name in os.listdir(Jingju_cut_path):
|
| 547 |
+
folder_path = os.path.join(Jingju_cut_path, folder_name)
|
| 548 |
+
for piece_dic in os.listdir(folder_path):
|
| 549 |
+
piece_path = os.path.join(folder_path, piece_dic)
|
| 550 |
+
|
| 551 |
+
new_dic_path = os.path.join(Jingju_cut_prompt_path, folder_name, piece_dic)
|
| 552 |
+
os.makedirs(new_dic_path, exist_ok=True)
|
| 553 |
+
|
| 554 |
+
for file_name in os.listdir(piece_path):
|
| 555 |
+
if file_name.endswith('.wav'):
|
| 556 |
+
|
| 557 |
+
new_file_name = f"{os.path.splitext(file_name)[0]}_prompt.wav"
|
| 558 |
+
new_file_path = os.path.join(Jingju_cut_prompt_path, folder_name, piece_dic, new_file_name)
|
| 559 |
+
|
| 560 |
+
if new_file_name not in os.listdir(new_dic_path):
|
| 561 |
+
|
| 562 |
+
file_path = os.path.join(piece_path, file_name)
|
| 563 |
+
|
| 564 |
+
y, sr = librosa.load(file_path, sr=None, mono=False)
|
| 565 |
+
|
| 566 |
+
ten_seconds = y[:, :sr * 10] if y.ndim > 1 else y[:sr * 10]
|
| 567 |
+
|
| 568 |
+
sf.write(new_file_path, ten_seconds, sr)
|
| 569 |
+
|
| 570 |
+
print(f"Saved: {piece_dic}")
|
| 571 |
+
|
| 572 |
+
|
| 573 |
+
|
| 574 |
+
if __name__ == "__main__":
|
| 575 |
+
|
| 576 |
+
SAVE_PATH = '/data/ziyaz/audio_flan/Audio-Flan-Engine/datasets/music/128_Compmusic/'
|
| 577 |
+
DATABASE_PATH = '/data/ziyaz/audio_flan/original_datasets/128_Compmusic'
|
| 578 |
+
|
| 579 |
+
## part 1 - Jingju_Audio_Recordings_Collection
|
| 580 |
+
# download_jingju_metadata_from_musicbrainz(SAVE_PATH)
|
| 581 |
+
|
| 582 |
+
# # split flac into 60s pieces
|
| 583 |
+
# process_Jingju_Audio_Recordings_Collection_cut_files(DATABASE_PATH, SAVE_PATH)
|
| 584 |
+
|
| 585 |
+
# # delete 'space' in folder name and json file name
|
| 586 |
+
# process_Jingju_Audio_Recordings_Collection_cut_folder_name(SAVE_PATH)
|
| 587 |
+
# process_Jingju_Audio_Recordings_Collection_json_name(SAVE_PATH)
|
| 588 |
+
|
| 589 |
+
# # create 10s prompt
|
| 590 |
+
# create_Jingju_Audio_Recordings_Collection_cut_prompt_files(SAVE_PATH)
|
| 591 |
+
|
| 592 |
+
## part 2 - Saraga_Carnatic_and_Hindustani_collections
|
| 593 |
+
# # split wav into 60s pieces
|
| 594 |
+
# process_Saraga_Carnatic_and_Hindustani_collections_cut_files(DATABASE_PATH, SAVE_PATH)
|
| 595 |
+
|
| 596 |
+
# # create 10s prompt
|
| 597 |
+
# create_Saraga_Carnatic_and_Hindustani_collections_cut_prompt_files(SAVE_PATH)
|
| 598 |
+
|
| 599 |
+
## part 3 - Carnatic_Varnam_Dataset
|
| 600 |
+
# # split wav into 60s pieces
|
| 601 |
+
# process_Carnatic_Varnam_Dataset_cut_files(DATABASE_PATH, SAVE_PATH)
|
| 602 |
+
|
| 603 |
+
# # create 10s prompt
|
| 604 |
+
# create_Carnatic_Varnam_Dataset_cut_prompt_files(SAVE_PATH)
|
| 605 |
+
|
| 606 |
+
## part 4 - Carnatic_Music_Rhythm_Dataset
|
| 607 |
+
# # split wav into 60s pieces
|
| 608 |
+
# process_Carnatic_Music_Rhythm_Dataset_cut_files(DATABASE_PATH, SAVE_PATH)
|
| 609 |
+
|
| 610 |
+
# # create 10s prompt
|
| 611 |
+
# create_Carnatic_Music_Rhythm_Dataset_cut_prompt_files(SAVE_PATH)
|
| 612 |
+
|
| 613 |
+
## part 5 - Hindustani_Music_Rhythm_Dataset
|
| 614 |
+
# # split wav into 60s pieces
|
| 615 |
+
# process_Hindustani_Music_Rhythm_Dataset_cut_files(DATABASE_PATH, SAVE_PATH)
|
| 616 |
+
|
| 617 |
+
# # create 10s prompt
|
| 618 |
+
# create_Hindustani_Music_Rhythm_Dataset_cut_prompt_files(SAVE_PATH)
|
| 619 |
+
|
| 620 |
+
## part 6 - Arab_Andalusian_Dataset
|
| 621 |
+
# download_Arab_Andalusian_Dataset(DATABASE_PATH)
|
| 622 |
+
|
| 623 |
+
# # split wav into 60s pieces
|
| 624 |
+
# process_Arab_Andalusian_Dataset_cut_files(DATABASE_PATH, SAVE_PATH)
|
| 625 |
+
|
| 626 |
+
# # create 10s prompt
|
| 627 |
+
# create_Arab_Andalusian_Dataset_cut_prompt_files(SAVE_PATH)
|
| 628 |
+
|
| 629 |
+
## part 7 - Jingju_A_Cappella_Singing_Audio_Extended_Dataset_part3
|
| 630 |
+
# # split wav into 60s pieces
|
| 631 |
+
# process_Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut_files(DATABASE_PATH, SAVE_PATH)
|
| 632 |
+
|
| 633 |
+
# # create 10s prompt
|
| 634 |
+
# create_Jingju_A_Cappella_Singing_Audio_Extended_Dataset_cut_prompt_files(SAVE_PATH)
|
| 635 |
+
|
128_Compmusic-Jingju_Audio_Recordings_Collection_english_version-music_captions/readme
ADDED
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@@ -0,0 +1,15 @@
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| 1 |
+
<download_and_cut_audio.py> is used to
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| 2 |
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|
| 3 |
+
crawl:
|
| 4 |
+
"Jingju_Audio_Recordings_Collection_metadata" from MusicBrainz,
|
| 5 |
+
"Arab_Andalusian_Dataset"
|
| 6 |
+
|
| 7 |
+
and split flac in:
|
| 8 |
+
"Saraga_Carnatic_and_Hindustani_collections"
|
| 9 |
+
"Carnatic_Varnam_Dataset"
|
| 10 |
+
"Carnatic_Music_Rhythm_Dataset"
|
| 11 |
+
"Hindustani_Music_Rhythm_Dataset"
|
| 12 |
+
"Arab_Andalusian_Dataset"
|
| 13 |
+
"Jingju_A_Cappella_Singing_Audio_Extended_Dataset_part3"
|
| 14 |
+
"Jingju_Audio_Recordings_Collection"
|
| 15 |
+
into 60s pieces (in "xxx_cut" folder) or 10s pieces (in "xxx_cut_prompt" folder)
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Harmonix/harmonixset/dataset/segments/0036_breakingthegirl.txt
ADDED
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| 1 |
+
0.0 silence
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| 2 |
+
4.022466 intro
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| 3 |
+
20.089854 verse
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| 4 |
+
54.292554 prechorus
|
| 5 |
+
70.579928 chorus
|
| 6 |
+
103.17035 verse
|
| 7 |
+
137.530388 prechorus
|
| 8 |
+
153.733139 chorus
|
| 9 |
+
186.346544 bridge
|
| 10 |
+
218.72957 chorus
|
| 11 |
+
251.022185 solo
|
| 12 |
+
299.474627 end
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Harmonix/harmonixset/dataset/segments/0075_dontcha.txt
ADDED
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| 1 |
+
0.0 silence
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| 2 |
+
2.0 intro
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| 3 |
+
16.98511 verse
|
| 4 |
+
49.946112 chorus
|
| 5 |
+
81.900036 verse
|
| 6 |
+
97.903376 chorus
|
| 7 |
+
129.907876 outro
|
| 8 |
+
137.906216 end
|
Harmonix/harmonixset/dataset/segments/0159_letthemusicplay.txt
ADDED
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| 1 |
+
0.0 intro
|
| 2 |
+
25.009088 verse
|
| 3 |
+
49.999196 prechorus
|
| 4 |
+
66.661612 verse
|
| 5 |
+
87.482304 chorus
|
| 6 |
+
108.303548 verse
|
| 7 |
+
120.797236 prechorus
|
| 8 |
+
137.461667 verse
|
| 9 |
+
154.128315 chorus
|
| 10 |
+
170.803907 outro
|
| 11 |
+
175.002191 end
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Harmonix/harmonixset/dataset/segments/0164_low.txt
ADDED
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|
| 1 |
+
0.0 fadein
|
| 2 |
+
1.875 intro
|
| 3 |
+
8.906238 chorus
|
| 4 |
+
39.374728 verse
|
| 5 |
+
68.905726 chorus
|
| 6 |
+
99.374216 verse
|
| 7 |
+
129.37396 chorus
|
| 8 |
+
159.373704 end
|
Harmonix/harmonixset/dataset/segments/0182_mycurse.txt
ADDED
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| 1 |
+
0.0 silence
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| 2 |
+
3.793086 intro
|
| 3 |
+
37.232334 instrumental
|
| 4 |
+
53.245274 verse
|
| 5 |
+
69.250766 prechorus
|
| 6 |
+
85.917366 chorus
|
| 7 |
+
101.434536 instrumental
|
| 8 |
+
110.464545 verse
|
| 9 |
+
118.464513 prechorus
|
| 10 |
+
135.131113 chorus
|
| 11 |
+
151.682761 bridge
|
| 12 |
+
166.855105 bridge2
|
| 13 |
+
184.786057 bridge3
|
| 14 |
+
201.337705 chorus
|
| 15 |
+
217.889353 chorus
|
| 16 |
+
234.441001 outro
|
| 17 |
+
250.992649 end
|
Harmonix/harmonixset/dataset/segments/0262_stash.txt
ADDED
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@@ -0,0 +1,18 @@
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| 1 |
+
0.0 silence
|
| 2 |
+
4.827585 intro
|
| 3 |
+
13.769762 mainriff
|
| 4 |
+
34.625186 mainriff2
|
| 5 |
+
56.490221 breakdown
|
| 6 |
+
81.155124 mainriff
|
| 7 |
+
105.246984 verse
|
| 8 |
+
126.5009595 postverse
|
| 9 |
+
145.146592 oddriff
|
| 10 |
+
158.434297 mainriff
|
| 11 |
+
186.4648955 mainriff
|
| 12 |
+
203.21008475 mainriff
|
| 13 |
+
223.902977 mainriff2
|
| 14 |
+
248.56874 verse
|
| 15 |
+
267.163293 chorus
|
| 16 |
+
308.89049575 postchorus
|
| 17 |
+
329.65912075 solo
|
| 18 |
+
433.9431055 end
|
Harmonix/harmonixset/dataset/segments/0347_bitch.txt
ADDED
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| 1 |
+
0.15 intro
|
| 2 |
+
15.087768 verse
|
| 3 |
+
33.759978 verse
|
| 4 |
+
53.054595 chorus
|
| 5 |
+
73.594026 verse
|
| 6 |
+
92.888643 chorus
|
| 7 |
+
113.428074 solo
|
| 8 |
+
133.345098 bridge
|
| 9 |
+
152.644883 chorus
|
| 10 |
+
172.582579 chorus
|
| 11 |
+
193.140744 outro
|
| 12 |
+
213.057768 solo
|
| 13 |
+
242.933304 end
|
Harmonix/harmonixset/dataset/segments/0349_blow.txt
ADDED
|
@@ -0,0 +1,8 @@
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| 1 |
+
0.512821 intro
|
| 2 |
+
12.051284 verse
|
| 3 |
+
43.051284 chorus
|
| 4 |
+
76.051284 verse
|
| 5 |
+
107.051284 chorus
|
| 6 |
+
140.051284 bridge
|
| 7 |
+
179.051284 chorus
|
| 8 |
+
212.051284 end
|
Harmonix/harmonixset/dataset/segments/0364_deuces.txt
ADDED
|
@@ -0,0 +1,9 @@
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|
| 1 |
+
0.0 intro
|
| 2 |
+
25.99038 verse
|
| 3 |
+
77.882284 chorus
|
| 4 |
+
103.828236 verse
|
| 5 |
+
155.72014 chorus
|
| 6 |
+
181.666092 verse
|
| 7 |
+
233.557996 chorus
|
| 8 |
+
259.503948 outro
|
| 9 |
+
271.666113 end
|
Harmonix/harmonixset/dataset/segments/0404_holditagainstme.txt
ADDED
|
@@ -0,0 +1,9 @@
|
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|
| 1 |
+
0.0581395 intro
|
| 2 |
+
7.274 verse
|
| 3 |
+
36.146192 chorus
|
| 4 |
+
72.236432 verse
|
| 5 |
+
101.108624 chorus
|
| 6 |
+
137.198864 bridge
|
| 7 |
+
166.071056 chorusinst
|
| 8 |
+
194.943248 chorus
|
| 9 |
+
223.81544 end
|
Harmonix/harmonixset/dataset/segments/0419_itgirl.txt
ADDED
|
@@ -0,0 +1,12 @@
|
|
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|
| 1 |
+
0.0788690791667 intro
|
| 2 |
+
9.844722 verse
|
| 3 |
+
30.71429 chorus
|
| 4 |
+
52.236032 postchorus
|
| 5 |
+
62.018642 verse
|
| 6 |
+
82.88821 chorus
|
| 7 |
+
104.409952 postchorus
|
| 8 |
+
114.192562 bridge
|
| 9 |
+
135.714304 intro
|
| 10 |
+
145.496914 chorus
|
| 11 |
+
167.018656 postchorus
|
| 12 |
+
182.670832 end
|