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- MTT.test.jsonl +0 -0
 - MTT.train.jsonl +0 -0
 - MTT.val.jsonl +0 -0
 - convert2jsonl.py +136 -0
 - fail.train.txt +20 -0
 - mp3/2/aba_structure-tektonik_illusion-02-illusion-291-320.mp3 +3 -0
 - mp3/2/aba_structure-tektonik_illusion-02-illusion-320-349.mp3 +3 -0
 - mp3/2/aba_structure-tektonik_illusion-02-illusion-378-407.mp3 +3 -0
 - mp3/2/aba_structure-tektonik_illusion-06-euphorbia-291-320.mp3 +3 -0
 - mp3/2/aba_structure-tektonik_illusion-06-euphorbia-349-378.mp3 +3 -0
 - mp3/2/antiguru-fall_submissions-01-blue_line-233-262.mp3 +3 -0
 - mp3/2/antiguru-fall_submissions-02-undersea_steamship-0-29.mp3 +3 -0
 - mp3/2/antiguru-fall_submissions-02-undersea_steamship-262-291.mp3 +3 -0
 - mp3/2/antiguru-fall_submissions-04-sideways-88-117.mp3 +3 -0
 - mp3/2/anup-embrace-02-genesis_wave-175-204.mp3 +3 -0
 - mp3/2/anup-embrace-04-minor_song-0-29.mp3 +3 -0
 - mp3/2/anup-embrace-04-minor_song-175-204.mp3 +3 -0
 - mp3/2/anup-embrace-05-romance_with_nature-291-320.mp3 +3 -0
 - mp3/2/anup-embrace-06-life_glides-59-88.mp3 +3 -0
 - mp3/2/anup-embrace-08-resolve-30-59.mp3 +3 -0
 - mp3/2/anup-embrace-10-reflection-30-59.mp3 +3 -0
 - mp3/2/burnshee_thornside-blues_and_misc-05-hakeem-59-88.mp3 +3 -0
 - mp3/2/burnshee_thornside-blues_and_misc-07-city_girls-59-88.mp3 +3 -0
 - mp3/2/burnshee_thornside-blues_and_misc-08-you_and_i-117-146.mp3 +3 -0
 - mp3/2/burnshee_thornside-blues_and_misc-11-not_the_one_blues-88-117.mp3 +3 -0
 - mp3/2/claire_fitch-ambiencellist-01-landscape-0-29.mp3 +3 -0
 - mp3/2/claire_fitch-ambiencellist-01-landscape-30-59.mp3 +3 -0
 - mp3/2/claire_fitch-ambiencellist-03-lunarsheen-146-175.mp3 +3 -0
 - mp3/2/claire_fitch-ambiencellist-04-calm_pad-146-175.mp3 +3 -0
 - mp3/2/drop_trio-big_dipper-03-melodymelody-262-291.mp3 +3 -0
 - mp3/2/drop_trio-big_dipper-03-melodymelody-30-59.mp3 +3 -0
 - mp3/2/drop_trio-big_dipper-08-leftys_alone-59-88.mp3 +3 -0
 - mp3/2/drop_trio-big_dipper-10-abbey_rhodes-117-146.mp3 +3 -0
 - mp3/2/drop_trio-big_dipper-11-gin_and_nothin-0-29.mp3 +3 -0
 - mp3/2/duo_chambure-vihuela_duets_of_valderrabano-11-inviolata_josquin_dez_prez-146-175.mp3 +3 -0
 - mp3/2/duo_chambure-vihuela_duets_of_valderrabano-15-et_in_spiritum_sanctum_missa_mille_regrets_cristobal_de_morales-59-88.mp3 +3 -0
 - mp3/2/ensemble_mirable-conversations_galantes-01-sonata_iii_in_d_minor_allegromoderato-30-59.mp3 +3 -0
 - mp3/2/ensemble_mirable-conversations_galantes-02-sonata_iii_in_d_minor_larghetto-30-59.mp3 +3 -0
 - mp3/2/ensemble_mirable-conversations_galantes-03-sonata_iii_in_d_minor_ariagratioso-146-175.mp3 +3 -0
 - mp3/2/ensemble_mirable-conversations_galantes-04-sonata_iii_in_d_minor_allegro-146-175.mp3 +3 -0
 - mp3/2/ensemble_mirable-conversations_galantes-04-sonata_iii_in_d_minor_allegro-88-117.mp3 +3 -0
 - mp3/2/ensemble_mirable-conversations_galantes-06-sonata_iv_in_c_major_ariagratioso_altro_piu_allegro-204-233.mp3 +3 -0
 - mp3/2/ensemble_mirable-conversations_galantes-06-sonata_iv_in_c_major_ariagratioso_altro_piu_allegro-320-349.mp3 +3 -0
 - mp3/2/ensemble_mirable-conversations_galantes-09-sonata_v_in_f_major_ariagratioso-204-233.mp3 +3 -0
 - mp3/2/ensemble_mirable-conversations_galantes-13-sonata_ii_in_b_minor_ariagratioso_altro-320-349.mp3 +3 -0
 - mp3/2/ensemble_mirable-conversations_galantes-13-sonata_ii_in_b_minor_ariagratioso_altro-59-88.mp3 +3 -0
 - mp3/2/ensemble_mirable-conversations_galantes-13-sonata_ii_in_b_minor_ariagratioso_altro-88-117.mp3 +3 -0
 - mp3/2/ensemble_sreteniye___three_holies_church_choristers-dont_cry_rachael-06-open_to_me_the_doors_of_repentance_byzantine_chant_bulgarian_tradition-117-146.mp3 +3 -0
 - mp3/2/ensemble_sreteniye___three_holies_church_choristers-dont_cry_rachael-10-twelve_robber_russian_folk_chant-0-29.mp3 +3 -0
 - mp3/2/ensemble_sreteniye___three_holies_church_choristers-dont_cry_rachael-10-twelve_robber_russian_folk_chant-30-59.mp3 +3 -0
 
    	
        MTT.test.jsonl
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        MTT.train.jsonl
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        MTT.val.jsonl
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        convert2jsonl.py
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| 1 | 
         
            +
            #!/usr/bin/env python3
         
     | 
| 2 | 
         
            +
            import os
         
     | 
| 3 | 
         
            +
            import json
         
     | 
| 4 | 
         
            +
            import argparse
         
     | 
| 5 | 
         
            +
             
     | 
| 6 | 
         
            +
            import numpy as np
         
     | 
| 7 | 
         
            +
            import pandas as pd
         
     | 
| 8 | 
         
            +
            import soundfile as sf
         
     | 
| 9 | 
         
            +
            from tqdm import tqdm
         
     | 
| 10 | 
         
            +
             
     | 
| 11 | 
         
            +
            def generate_split_jsonl(data_path: str, split_name: str, tags: np.ndarray, binary: np.ndarray):
         
     | 
| 12 | 
         
            +
                """
         
     | 
| 13 | 
         
            +
                Reads {split_name}.tsv, processes all .mp3 files, and generates MTT.{split_name}.jsonl.
         
     | 
| 14 | 
         
            +
                Includes error handling, a progress bar, and bitrate calculation for MP3s.
         
     | 
| 15 | 
         
            +
                """
         
     | 
| 16 | 
         
            +
                mt_dir = data_path
         
     | 
| 17 | 
         
            +
                tsv_path = os.path.join(mt_dir, f'{split_name}.tsv')
         
     | 
| 18 | 
         
            +
                if split_name == "valid":
         
     | 
| 19 | 
         
            +
                    out_split_name = "val"
         
     | 
| 20 | 
         
            +
                else:
         
     | 
| 21 | 
         
            +
                    out_split_name = split_name
         
     | 
| 22 | 
         
            +
                out_path = os.path.join(mt_dir, f'MTT.{out_split_name}.jsonl')
         
     | 
| 23 | 
         
            +
                fail_log_path = os.path.join(mt_dir, f'fail.{out_split_name}.txt')
         
     | 
| 24 | 
         
            +
             
     | 
| 25 | 
         
            +
                # Read index and filenames
         
     | 
| 26 | 
         
            +
                df = pd.read_csv(tsv_path, sep='\t', header=None, names=['idx', 'title'])
         
     | 
| 27 | 
         
            +
             
     | 
| 28 | 
         
            +
                failed_count = 0
         
     | 
| 29 | 
         
            +
                failed_records = []
         
     | 
| 30 | 
         
            +
             
     | 
| 31 | 
         
            +
                print(f"Processing split: {split_name}")
         
     | 
| 32 | 
         
            +
                with open(out_path, 'w', encoding='utf-8') as fw:
         
     | 
| 33 | 
         
            +
                    # Use tqdm for a progress bar
         
     | 
| 34 | 
         
            +
                    for _, row in tqdm(df.iterrows(), total=df.shape[0], desc=f"-> Generating {split_name}.jsonl"):
         
     | 
| 35 | 
         
            +
                        try:
         
     | 
| 36 | 
         
            +
                            i = int(row['idx'])
         
     | 
| 37 | 
         
            +
                            title = row['title']  # e.g., "48/948.low.mp3"
         
     | 
| 38 | 
         
            +
                            audio_path = os.path.join(mt_dir, 'mp3', title)
         
     | 
| 39 | 
         
            +
             
     | 
| 40 | 
         
            +
                            # Read audio metadata (supports .mp3)
         
     | 
| 41 | 
         
            +
                            info = sf.info(audio_path)
         
     | 
| 42 | 
         
            +
                            duration = info.frames / info.samplerate
         
     | 
| 43 | 
         
            +
                            num_samples = info.frames
         
     | 
| 44 | 
         
            +
                            sample_rate = info.samplerate
         
     | 
| 45 | 
         
            +
                            channels = info.channels
         
     | 
| 46 | 
         
            +
             
     | 
| 47 | 
         
            +
                            # --- MODIFICATION START ---
         
     | 
| 48 | 
         
            +
                            # Calculate bitrate, which is more meaningful for compressed formats like MP3
         
     | 
| 49 | 
         
            +
                            bitrate = None
         
     | 
| 50 | 
         
            +
                            # Check if duration is valid to avoid division by zero
         
     | 
| 51 | 
         
            +
                            if duration > 0:
         
     | 
| 52 | 
         
            +
                                try:
         
     | 
| 53 | 
         
            +
                                    file_size_bytes = os.path.getsize(audio_path)
         
     | 
| 54 | 
         
            +
                                    # Bitrate in bits per second (bps)
         
     | 
| 55 | 
         
            +
                                    bitrate = int((file_size_bytes * 8) / duration)
         
     | 
| 56 | 
         
            +
                                except OSError:
         
     | 
| 57 | 
         
            +
                                    # File might not exist or other OS-level error
         
     | 
| 58 | 
         
            +
                                    pass
         
     | 
| 59 | 
         
            +
                            
         
     | 
| 60 | 
         
            +
                            # Infer bit depth from subtype, will be None for mp3
         
     | 
| 61 | 
         
            +
                            bit_depth = None
         
     | 
| 62 | 
         
            +
                            if hasattr(info, 'subtype') and info.subtype and info.subtype.startswith('PCM_'):
         
     | 
| 63 | 
         
            +
                                try:
         
     | 
| 64 | 
         
            +
                                    bit_depth = int(info.subtype.split('_', 1)[1])
         
     | 
| 65 | 
         
            +
                                except (ValueError, IndexError):
         
     | 
| 66 | 
         
            +
                                    pass # Could not parse bit depth from subtype
         
     | 
| 67 | 
         
            +
                            # --- MODIFICATION END ---
         
     | 
| 68 | 
         
            +
             
     | 
| 69 | 
         
            +
                            # Get the list of labels for this sample
         
     | 
| 70 | 
         
            +
                            labels = tags[binary[i].astype(bool)].tolist()
         
     | 
| 71 | 
         
            +
             
     | 
| 72 | 
         
            +
                            # Assemble the JSON object and write to file
         
     | 
| 73 | 
         
            +
                            record = {
         
     | 
| 74 | 
         
            +
                                "audio_path":  audio_path,
         
     | 
| 75 | 
         
            +
                                "label":       labels,
         
     | 
| 76 | 
         
            +
                                "duration":    duration,
         
     | 
| 77 | 
         
            +
                                "sample_rate": sample_rate,
         
     | 
| 78 | 
         
            +
                                "num_samples": num_samples,
         
     | 
| 79 | 
         
            +
                                "bit_depth":   bit_depth,   # This will be null for MP3 files
         
     | 
| 80 | 
         
            +
                                "bitrate":     bitrate,     # This is the newly added field
         
     | 
| 81 | 
         
            +
                                "channels":    channels
         
     | 
| 82 | 
         
            +
                            }
         
     | 
| 83 | 
         
            +
                            fw.write(json.dumps(record, ensure_ascii=False) + "\n")
         
     | 
| 84 | 
         
            +
             
     | 
| 85 | 
         
            +
                        except Exception as e:
         
     | 
| 86 | 
         
            +
                            # If any error occurs, log it and skip the file
         
     | 
| 87 | 
         
            +
                            failed_count += 1
         
     | 
| 88 | 
         
            +
                            failed_records.append(f"File: {title}, Error: {str(e)}")
         
     | 
| 89 | 
         
            +
                            continue
         
     | 
| 90 | 
         
            +
             
     | 
| 91 | 
         
            +
                print(f"Successfully generated {out_path}")
         
     | 
| 92 | 
         
            +
             
     | 
| 93 | 
         
            +
                # After the loop, report and log any failures
         
     | 
| 94 | 
         
            +
                if failed_count > 0:
         
     | 
| 95 | 
         
            +
                    print(f"Skipped {failed_count} corrupted or problematic files for split '{split_name}'.")
         
     | 
| 96 | 
         
            +
                    # Append failures to fail.txt
         
     | 
| 97 | 
         
            +
                    with open(fail_log_path, 'a', encoding='utf-8') as f_fail:
         
     | 
| 98 | 
         
            +
                        f_fail.write(f"--- Failures for split: {split_name} ({failed_count} files) ---\n")
         
     | 
| 99 | 
         
            +
                        for record in failed_records:
         
     | 
| 100 | 
         
            +
                            f_fail.write(record + "\n")
         
     | 
| 101 | 
         
            +
                        f_fail.write("\n")
         
     | 
| 102 | 
         
            +
             
     | 
| 103 | 
         
            +
            def main():
         
     | 
| 104 | 
         
            +
                parser = argparse.ArgumentParser(
         
     | 
| 105 | 
         
            +
                    description="Generate JSONL files for MTT dataset splits (train/valid/test) for .mp3 files.")
         
     | 
| 106 | 
         
            +
                parser.add_argument(
         
     | 
| 107 | 
         
            +
                    "data_path",
         
     | 
| 108 | 
         
            +
                    help="Root directory of the MTT dataset, containing annotations, tags, labels, and tsv splits.")
         
     | 
| 109 | 
         
            +
                args = parser.parse_args()
         
     | 
| 110 | 
         
            +
             
     | 
| 111 | 
         
            +
                mt_dir = args.data_path
         
     | 
| 112 | 
         
            +
             
     | 
| 113 | 
         
            +
                # Use a generic failure log name that doesn't need to be cleaned for each split
         
     | 
| 114 | 
         
            +
                fail_log_path = os.path.join(mt_dir, 'processing_failures.log')
         
     | 
| 115 | 
         
            +
                if os.path.exists(fail_log_path):
         
     | 
| 116 | 
         
            +
                    os.remove(fail_log_path)
         
     | 
| 117 | 
         
            +
                    print(f"Removed old log file: {fail_log_path}")
         
     | 
| 118 | 
         
            +
             
     | 
| 119 | 
         
            +
                try:
         
     | 
| 120 | 
         
            +
                    # Load tags and binary label matrix
         
     | 
| 121 | 
         
            +
                    tags = np.load(os.path.join(mt_dir, 'tags.npy'))
         
     | 
| 122 | 
         
            +
                    binary = np.load(os.path.join(mt_dir, 'binary_label.npy'))
         
     | 
| 123 | 
         
            +
                except FileNotFoundError as e:
         
     | 
| 124 | 
         
            +
                    print(f"Error: Could not find required .npy file. {e}")
         
     | 
| 125 | 
         
            +
                    return
         
     | 
| 126 | 
         
            +
             
     | 
| 127 | 
         
            +
                # Generate JSONL for each split
         
     | 
| 128 | 
         
            +
                for split in ['train', 'valid', 'test']:
         
     | 
| 129 | 
         
            +
                    generate_split_jsonl(args.data_path, split, tags, binary)
         
     | 
| 130 | 
         
            +
             
     | 
| 131 | 
         
            +
                print("\nProcessing complete.")
         
     | 
| 132 | 
         
            +
                if os.path.exists(fail_log_path):
         
     | 
| 133 | 
         
            +
                    print(f"A log of all failed files has been saved to: {fail_log_path}")
         
     | 
| 134 | 
         
            +
             
     | 
| 135 | 
         
            +
            if __name__ == "__main__":
         
     | 
| 136 | 
         
            +
                main()
         
     | 
    	
        fail.train.txt
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| 1 | 
         
            +
            --- Failures for split: train (3 files) ---
         
     | 
| 2 | 
         
            +
            File: 6/norine_braun-now_and_zen-08-gently-117-146.mp3, Error: Error opening 'data/MTT/mp3/6/norine_braun-now_and_zen-08-gently-117-146.mp3': File does not exist or is not a regular file (possibly a pipe?).
         
     | 
| 3 | 
         
            +
            File: 8/jacob_heringman-josquin_des_prez_lute_settings-19-gintzler__pater_noster-204-233.mp3, Error: Error opening 'data/MTT/mp3/8/jacob_heringman-josquin_des_prez_lute_settings-19-gintzler__pater_noster-204-233.mp3': File does not exist or is not a regular file (possibly a pipe?).
         
     | 
| 4 | 
         
            +
            File: 9/american_baroque-dances_and_suites_of_rameau_and_couperin-25-le_petit_rien_xiveme_ordre_couperin-88-117.mp3, Error: Error opening 'data/MTT/mp3/9/american_baroque-dances_and_suites_of_rameau_and_couperin-25-le_petit_rien_xiveme_ordre_couperin-88-117.mp3': File does not exist or is not a regular file (possibly a pipe?).
         
     | 
| 5 | 
         
            +
             
     | 
| 6 | 
         
            +
            --- Failures for split: train (3 files) ---
         
     | 
| 7 | 
         
            +
            File: 6/norine_braun-now_and_zen-08-gently-117-146.mp3, Error: Error opening 'data/MTT/mp3/6/norine_braun-now_and_zen-08-gently-117-146.mp3': File does not exist or is not a regular file (possibly a pipe?).
         
     | 
| 8 | 
         
            +
            File: 8/jacob_heringman-josquin_des_prez_lute_settings-19-gintzler__pater_noster-204-233.mp3, Error: Error opening 'data/MTT/mp3/8/jacob_heringman-josquin_des_prez_lute_settings-19-gintzler__pater_noster-204-233.mp3': File does not exist or is not a regular file (possibly a pipe?).
         
     | 
| 9 | 
         
            +
            File: 9/american_baroque-dances_and_suites_of_rameau_and_couperin-25-le_petit_rien_xiveme_ordre_couperin-88-117.mp3, Error: Error opening 'data/MTT/mp3/9/american_baroque-dances_and_suites_of_rameau_and_couperin-25-le_petit_rien_xiveme_ordre_couperin-88-117.mp3': File does not exist or is not a regular file (possibly a pipe?).
         
     | 
| 10 | 
         
            +
             
     | 
| 11 | 
         
            +
            --- Failures for split: train (3 files) ---
         
     | 
| 12 | 
         
            +
            File: 6/norine_braun-now_and_zen-08-gently-117-146.mp3, Error: Error opening 'data/MTT/mp3/6/norine_braun-now_and_zen-08-gently-117-146.mp3': File does not exist or is not a regular file (possibly a pipe?).
         
     | 
| 13 | 
         
            +
            File: 8/jacob_heringman-josquin_des_prez_lute_settings-19-gintzler__pater_noster-204-233.mp3, Error: Error opening 'data/MTT/mp3/8/jacob_heringman-josquin_des_prez_lute_settings-19-gintzler__pater_noster-204-233.mp3': File does not exist or is not a regular file (possibly a pipe?).
         
     | 
| 14 | 
         
            +
            File: 9/american_baroque-dances_and_suites_of_rameau_and_couperin-25-le_petit_rien_xiveme_ordre_couperin-88-117.mp3, Error: Error opening 'data/MTT/mp3/9/american_baroque-dances_and_suites_of_rameau_and_couperin-25-le_petit_rien_xiveme_ordre_couperin-88-117.mp3': File does not exist or is not a regular file (possibly a pipe?).
         
     | 
| 15 | 
         
            +
             
     | 
| 16 | 
         
            +
            --- Failures for split: train (3 files) ---
         
     | 
| 17 | 
         
            +
            File: 6/norine_braun-now_and_zen-08-gently-117-146.mp3, Error: Error opening 'data/MTT/mp3/6/norine_braun-now_and_zen-08-gently-117-146.mp3': File does not exist or is not a regular file (possibly a pipe?).
         
     | 
| 18 | 
         
            +
            File: 8/jacob_heringman-josquin_des_prez_lute_settings-19-gintzler__pater_noster-204-233.mp3, Error: Error opening 'data/MTT/mp3/8/jacob_heringman-josquin_des_prez_lute_settings-19-gintzler__pater_noster-204-233.mp3': File does not exist or is not a regular file (possibly a pipe?).
         
     | 
| 19 | 
         
            +
            File: 9/american_baroque-dances_and_suites_of_rameau_and_couperin-25-le_petit_rien_xiveme_ordre_couperin-88-117.mp3, Error: Error opening 'data/MTT/mp3/9/american_baroque-dances_and_suites_of_rameau_and_couperin-25-le_petit_rien_xiveme_ordre_couperin-88-117.mp3': File does not exist or is not a regular file (possibly a pipe?).
         
     | 
| 20 | 
         
            +
             
     | 
    	
        mp3/2/aba_structure-tektonik_illusion-02-illusion-291-320.mp3
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     | 
| 3 | 
         
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     | 
    	
        mp3/2/aba_structure-tektonik_illusion-02-illusion-320-349.mp3
    ADDED
    
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     | 
| 3 | 
         
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     | 
    	
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    ADDED
    
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     | 
    	
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    ADDED
    
    | 
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    | 
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    | 
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    | 
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    ADDED
    
    | 
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    | 
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    ADDED
    
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    ADDED
    
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