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},
"pattern_recognition": {
"melodic_motifs_3notes": [],
"melodic_motifs_4notes": [],
"motif_repetition_rate": 0
},
"polyphony_advanced": {
"overlap_rate": 0.5439,
"polyphony_mean": 4.95,
"polyphony_median": 3,
"polyphony_min": 1,
"polyphony_peak": 8,
"polyphony_std": 1.2,
"voices_count": 9
},
"rhythmic_analysis": {
"avg_note_duration": 0.6587000000000001,
"note_density_per_second": 21.27,
"note_onsets_histogram": [
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"rhythmic_complexity_index": 0.7591,
"rhythmic_fingerprint": "1010101010101010101010101010101010101010101010101010101010101010",
"syncopation_score": 0.1263,
"tempo_stability": 1
},
"segmentation": {
"count": 0,
"segments": []
}
},
"file_hash": "e29dc523bcf4c628e90d5360b77b379b",
"metadata_clean": {
"artist": "Mike Younger",
"avg_duration": 0.658394935951338,
"avg_velocity": 85.73022342995169,
"csv_match_found": true,
"duration": 310.153872,
"estimated_key": {
"mode": "major",
"tonic": "C"
},
"file_hash": "e29dc523bcf4c628e90d5360b77b379b",
"file_name": "/home/zero/Bureau/MusicAI_Project/data/lmd_matched/N/Z/U/TRNZUDW128EF359ACE/e29dc523bcf4c628e90d5360b77b379b.mid",
"filename_csv": "unknown",
"instruments": [
{
"is_drum": false,
"name": "Unknown",
"num_notes": 251,
"program": 32
},
{
"is_drum": true,
"name": "Unknown",
"num_notes": 1050,
"program": 0
},
{
"is_drum": false,
"name": "Unknown",
"num_notes": 777,
"program": 4
},
{
"is_drum": false,
"name": "Unknown",
"num_notes": 896,
"program": 7
},
{
"is_drum": false,
"name": "Unknown",
"num_notes": 252,
"program": 48
},
{
"is_drum": false,
"name": "Unknown",
"num_notes": 847,
"program": 27
},
{
"is_drum": false,
"name": "Unknown",
"num_notes": 851,
"program": 27
},
{
"is_drum": false,
"name": "Unknown",
"num_notes": 853,
"program": 27
},
{
"is_drum": false,
"name": "Unknown",
"num_notes": 847,
"program": 27
}
],
"key_signature_changes": 1,
"match_score": 0,
"num_instruments": 9,
"tempo_csv": 140.628,
"tempo_est": 214.93331542222404,
"time_signature_changes": 1,
"title": "Killin Time",
"total_notes": 6624,
"track_id": "TRNZUDW128EF359ACE",
"unique_pitches": 49
}
}
|
End of preview. Expand
in Data Studio
YAML Metadata
Warning:
The task_categories "music-transcription" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
YAML Metadata
Warning:
The task_categories "generative-modeling" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
YAML Metadata
Warning:
The task_categories "audio-processing" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
YAML Metadata
Warning:
The task_categories "machine-learning" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
Lakh MIDI Dataset — Fully Cleaned & Structured JSON (44,129 files)
This dataset is a fully cleaned and normalized version of the Lakh MIDI Dataset.
Each MIDI file has been parsed, validated, and converted into a consistent JSON structure with detailed musical metadata.
✔ 44,129 cleaned JSON files
✔ instrument programs
✔ notes, durations, velocities
✔ tempo curves
✔ key signatures
✔ time signatures
✔ tracks & channels
✔ structural markers
✔ file-level metadata
✔ consistent schema across all files
Suitable for:
- Music AI
- symbolic modeling
- generative models
- audio-to-symbolic learning
- embeddings
- piano transcription
- MIR research
- supervised ML datasets
- music information retrieval
License: Same as original Lakh dataset (public research dataset, metadata extracted legally).
All JSON files are derived from open-source MIDI data.
For commercial or large-scale dataset cleaning services:
— Zeronex
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