Pedagogical Machine Translation (Dialect) dataset: the filtered Canadian Hansard Dataset.

The Canadian [Hansard](https://www.ourcommons.ca/documentviewer/en/35-2/house/hansard-index) is an archive of parliamentary sessions in the two official languages in Canada - English and Franch.

📋 Table of Contents

• 🧩 Hansard Dataset
  • 📋 Table of Contents
  • 📖 Usage
    • Downloading the dataset
    • Dataset structure
    • Loading the dataset 📖 Usage

      Downloading the dataset

      The hansard dataset can be downloaded from here or with a bash script:

      bash download_hansard.sh
      

      Dataset structure

      The dataset is provided as csv (and parquet) files, one for each partition: train.[csv|parquet] and test.csv. We also provide a hansard.[csv|parquet] file that contains all examples across all splits. The splits are sized as follows:

      Loading the dataset

      The three partitions can be loaded the same way as any other csv file. For example, using Python:

      dataset = {
          "train": csv.load(open("./Hansard/train.csv", "r"))["dataset"],
          "test": csv.load(open("./Hansard/test.csv", "r"))["dataset"],
      }
      

      However, it is likely easiest to work with the dataset using the HuggingFace Datasets library:

      # pip install datasets
      from datasets import load_dataset
      
      # The dataset can be used like any other HuggingFace dataset
      dataset = load_dataset("raeidsaqur/hansard")
      

      ✍️ Contributing

      We welcome contributions to this repository (noticed a typo? a bug?). To propose a change:

      git clone https://github.com/raeidsaqur/hansard
      cd hansard
      git checkout -b my-branch
      pip install -r requirements.txt
      pip install -e .
      

      Once your changes are made, make sure to lint and format the code (addressing any warnings or errors):

      isort .
      black .
      flake8 .
      

      Then, submit your change as a pull request.

      📝 Citing

      If you use the Canadian Hansarddataset in your work, please consider citing our paper:

      @article{raeidsaqur2024Hansard,
          title        = {The Canadian Hansard Dataset for Analyzing Dialect Efficiencies in Language Models},
          author       = {Raeid Saqur},
          year         = 2024,
          journal      = {ArXiv},
          url          = 
      }
      

      🙏 Acknowledgements

      The entire CSC401/2511 teaching team at the Dept. of Computer Science at the University of Toronto.