cannabis_results Developer Documentation
Cloning the Dataset
Install Git Large File Storage (LFS):
git lfs install
Clone the repository:
git clone https://huggingface.co/datasets/cannlytics/cannabis_results
Testing a Dataset
You can load the dataset locally for testing with the loading script:
from datasets import load_dataset
# Load the dataset.
dataset = load_dataset('cannabis_results.py', 'ca')
data = dataset['data']
assert len(data) > 0
print('Read %i data points.' % len(data))
Updating the Dataset
When you want to make a pull request to a specific dataset, first, create a pull request branch on Hugging Face, then checkout the branch, e.g.:
git fetch origin refs/pr/2:pr/2
git checkout pr/2
Next, do your modifications and track all of your changes, including any large data files, e.g. .csv files:
git lfs track *.csv
git add *.csv
git commit -m "Added all `.csv` files"
git lfs track *.xlsx
git add *.xlsx
git commit -m "Added all `.xlsx` files"
git lfs track *.zip
git add *.zip
git commit -m "Added all `.zip` files"
git add --all
git status
git commit -m "Updated `cannabis_results` dataset."
Finally, make the pull request:
git push origin pr/x:refs/pr/x
🎉 Congratulations, your pull request is now ready to be reviewed and merged by the repository admin!