---
license: apache-2.0
task_categories:
- text-generation
size_categories:
- 10K<n<100K
pretty_name: Chord Llama Dataset
---
The dataset used to train Chord Llama, A model for generating sheet music. 
This dataset contains entries of an altered version of the MusicXML format, and cannot be used to generate MusicXML directly. 
A fine-tuned model and interface will be released in the future.

The data is sourced from Wikifonia and Part 1 of MScoreLib. 
Both of these databases are originally in MusicXML format.

- Wikifonia: http://www.synthzone.com/forum/ubbthreads.php/topics/384909/Download_for_Wikifonia_all_6,6

- MScoreLib: http://mscorelib.com/

Please see [music_xml_converter.ipynb](https://huggingface.co/datasets/Chord-Llama/chord_llama_dataset/blob/main/music_xml_converter.ipynb) for the notebook used to generate the dataset. 

The data was then cleaned to maximize tokenization in a few ways:
- Everything that added readability to the file without changing the meaning of the music was removed
- All parts were separated into individual documents
- All parts containing more than one `<attributes>` element were discarded
- The MusicXML was converted into YAML format to lower token count using the Python library `xmltodict`
- If the necessary data of the YAML version of the document was over Llama 2's context length, the document was split
- The `<attributes>` element saved to `instruction`
- The first half of the measures was set to the input
- The second half of the measures was set to the output