metadata

license: mit
language:
  - en
  - fr
task_categories:
  - translation
pretty_name: hansard
size_categories:
  - 100K<n<1M

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
    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.

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

📋 Table of Contents

Loading the dataset

✍️ Contributing

📝 Citing

🙏 Acknowledgements