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Setup

Using uv

Easiest way to setup the environment is to use uv.

  1. Run uv sync to create the environment and install the project including its dependencies.
  2. Run source .env/bin/activate to activate the environment.

Using pip

  1. Make sure you have python3.12 installed.
  2. Create a virtual environment using python3.12 -m venv .env.
  3. Activate the virtual environment using source .env/bin/activate.
  4. Install the project and its dependencies using pip install ..

Prepare Dataset

  1. Download the dataset SalChartQA.zip from SalChartQA Project Site and extract the zip into data/ directory.
  2. Run python -m app.data data/SalChartQA/ data/filtered_question_type_ans_correct --correct-only to create the filtered dataset.

Train

  1. Run python train.py +experiment=chart_simple to train the model on the attribute chart_simple.