Harmony launches on Kaggle!

We are proud to have launched our first competition on Kaggle!

The primary challenge of this competition is to develop a tool or method that can accurately extract questionnaire questions from documents, primarily PDFs.

This competition offers a unique opportunity for participants to contribute to the field of natural language processing and document analysis while developing solutions that have real-world applications. We encourage participants to think creatively, leverage available resources, and push the boundaries of current technologies.

Entering the Kaggle competition

Requirements: Python 3.10 or greater

1. Create an account on Kaggle.

2. Install Kaggle on your computer:

pip install kaggle

3. On the Kaggle website, download your kaggle.json file and put it in your home folder under .kaggle/kaggle.json.

4. Download and unzip the competition data:

kaggle competitions download -c harmony-pdf-and-word-questionnaires-extract
unzip harmony-pdf-and-word-questionnaires-extract.zip 

5. Run create_sample_submission.py in the folder containing your data to create your train and test predictions:

To generate predictions for the training data and write to train_predictions.csv:

python create_sample_submission.py train

To evaluate the train predictions:

python evaluate_train_results.py

6. To modify the prediction logic or inject your own model, you can edit the function dummy_extract_questions.

7. To generate predictions for the test data and write to submission.csv:

python create_sample_submission.py test

8. Submit your CSV file to Kaggle

kaggle competitions submit -c harmony-pdf-and-word-questionnaires-extract -f submission.csv -m "Message"