# Contributing guidelines Thanks for taking the time to contribute! :+1: In general, we would like to - keep the repository as small as possible but still produce (more or less) physically meaningful results (e.g., roughly correct band structures). Of course, for testing datasets, no such requirement is needed. - keep the original DFT input files and scripts for generating the datasets, to ensure reproducibility. This also allows us to regenerate the datasets if needed. ## Dataset generation Each folder in [`../datasets`](../datasets) folder is a standalone dataset for one material, these files are generated by the respective `inputs/run.sh` script. The `inputs` subdirectory contains all the script and input files for DFT codes to generate the Wannier input `amn/mmn/eig/...` files. The Fortran binary (also called unformatted) files are written by QE binaries which are compiled with ```bash GNU Fortran (Ubuntu 11.2.0-19ubuntu1) 11.2.0 ``` To add a new dataset: - Create a new subdirectory, e.g. `Si2` - Put all the input files for the DFT code in the subdirectory `Si2/inputs/` - Create a `run.sh` script in `inputs/` which runs the DFT code and generates the `amn/mmn/eig/...` files - Move the `amn/mmn/eig/...` files to `Si2/` - (Optional) Create a `README.md` file in `Si2/` which describes the dataset - (Optional) Add reference results in a subdirectory `Si2/outputs/` Out goal is that the `run.sh` script should be able to reproduce the `amn/mmn/eig/...` files, on any machine. So we can easily regenerate the dataset if needed. ## All Code Changes Happen Through Pull Requests Pull requests are the best way to propose changes to the codebase. We actively welcome your pull requests: 1. Fork the repo and create your branch from `main`. ```shell # clone the repo, remember to replace the username with your own username git clone git@hf.co:datasets/atomology/WannierDatasets ``` 2. Add dataset(s), ideally small (in terms of file size) but still gives physical results. The `prefix` of the files (i.e. `prefix.amn`/`prefix.mmn`) should be the same as the folder name, to allow easy loading of the dataset by `Wannier.jl` (the function `Wannier.Datasets.load_dataset`) 3. Make sure the original input files are committed in a `inputs` subfolder, so we can always reproduce the results on different machines. 4. (Optional) put useful reference files in a `outputs` subfolder 5. Always `git rebase` your branch on top of the latest `main` branch, so that we can merge your PR without ugly :worried: merge commits. Otherwise, we will rebase explicitly your branch when merging. 6. Create that pull request! ## Release process See [`../release.sh`](../release.sh).