| --- |
| dataset_info: |
| features: |
| - name: text |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 6417909784 |
| num_examples: 244436 |
| - name: test |
| num_bytes: 1221971111 |
| num_examples: 46005 |
| - name: validation |
| num_bytes: 1465985310 |
| num_examples: 54947 |
| download_size: 974110589 |
| dataset_size: 9105866205 |
| --- |
| # Dataset Card for "lmd_clean_8bars_32th_resolution" |
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| [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |
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| Available at [Portex](https://marketplace.portexai.com/creator-profile) |
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| ## 🎵 Lakh MIDI to MMM-Style Text Dataset |
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| This dataset converts the Lakh MIDI Dataset into a structured text format inspired by the [Multitrack Music Machine (MMM) paper](https://arxiv.org/abs/2008.01307). It includes **344,900 samples**, each representing an **8-bar symbolic music fragment**, tokenized into a language-model-friendly format. |
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| Each line in the dataset is a music fragment composed of tokens like: |
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| ```sql |
| PIECE_START COMPOSER=JOHN_FARNHAM PERIOD= GENRE=TIME_SIG=4/4 TRACK_START INST=122 DENSITY=0 BAR_START TIME_DELTA=48 BAR_END ... |
| ``` |
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| ### 🔍 Metadata |
| - **Modality**: Text (converted from MIDI) |
| - **Format**: One tokenized sequence per line (plain text) |
| - **Size**: 344,900 rows |
| - **Source**: Derived from the Lakh MIDI Dataset |
| - **Structure**: Each row represents an 8-bar segment tokenized to match MMM syntax |
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| ### 🤖 Use Cases |
| - Pretraining or finetuning symbolic music models |
| - Sequence modeling research for music |
| - Input for generative transformer models |
| - Creative AI applications in music composition |
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| ### 🧠 Why this dataset? |
| Symbolic music datasets in tokenized, language-model-ready formats are rare. This dataset bridges audio-derived symbolic data and the world of NLP modeling, saving hours of preprocessing and formatting work for researchers and ML developers. |
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