PublicDomainSheetMusicFinder is a project designed to identify the works of notable 20th-century composers that might be in the public domain within the EU. The project leverages Wikipedia page views as a metric to filter relevant composers. Additionally, it incorporates an IMSLP parser to locate available links to scanned sheet music.
- PublicDomainSheetMusicFinder.ipynb: Code optimization and refactoring for improved performance and readability.
- imslp_extract.ipynb: Newly added notebook to parse all available scores for a selected composer from the IMSLP database.
- llm_parse_local.ipynb: Experimental notebook for parsing, summarizing, and answering questions about a selected composer based on their Wikipedia article. This notebook utilizes local running large language models provided in LM Studio. Tested with Mistral 7B and Llama 3 models and 8192 token input.
This repository includes two TSV files: composers.tsv and composers_imslp.tsv. These files contain full data dumps based on Wikipedia data for the year 2022. composers.tsv includes basic information about the composers, while composers_imslp.tsv includes additional IMSLP links where available.
This repository now includes the following notebooks alongside the original TSV files:
PublicDomainSheetMusicFinder.ipynbimslp_extract.ipynb(New)llm_parse_local.ipynb(New)
The project requires Python and Jupyter Notebook to run. Required Python packages are:
- requests
- BeautifulSoup
- pandas
- tqdm
- numpy
These packages can be installed with pip:
pip install requests beautifulsoup4 pandas tqdm numpy
Run the Jupyter Notebooks to start the project. Each notebook contains detailed comments and explanations for each part of the code.
If you want to contribute to this project, please fork the repository and use a feature branch. Pull requests are warmly welcome.
The code in this project is licensed under the MIT license.