This repo showcases and compares various search algorithms and models using Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search.
├── .github
│ ├── dependabot.yml
│ └── workflows
│ ├── {project_A}-deploy.yml
│ └── {project_A}-test.yml
├── Makefile # Common commands
├── pyproject.toml # Common Python configurations
├── README.md
└── src
├── {project_A}
└── {project_B}
Copy .envrc.example
and fill in the necessary environment variables. Afterwards, proceed with installing the dependencies.
$ pyenv install 3.11.8
$ pyenv local 3.11.8
$ pip install poetry
$ poetry env use python
$ poetry install
Run the following tasks after adding any modifications.
$ make lint