Join a competition to train a machine learning model to improve Harmony’s PDF parsing. You don’t need to have trained a machine learning model before.
We would like to improve Harmony’s PDF parsing algorithm.
We would like to improve Harmony with a fine tuned language model. We have teamed up with DOXA AI and made an online competition where you can improve on the off-the-shelf LLMs which we are currently using. You can win up to £1000 in vouchers! Click here to join the Harmony matching competition on DOXA AI.
We have gathered training data for you to use to fine tune your model, and there is unseen validation data which we will use to score the model.
More information is available on the DOXA AI page.
First, create an account on DOXA AI and enroll in the competition and download the code examples and training data.
The prize for the winner of the competition is £1000 in vouchers and the runner up will get £500 in vouchers.
Help us design the next phase of Harmony and win up to £300 in vouchers! Search and Results UX/UI Challenge Harmony is a platform for researchers to help them discover and compare complex meta-data across different academic studies. The project is a collaboration between University College London (UCL), The University of Ulster, and Fast Data Science and has been funded by the Economic and Social Research Council (ESRC) and by Wellcome as part of the Wellcome Data Prize in Mental Health.
It’s all over! The Matching Challenge is now officially closed. Thank you to everyone who took part. The wait is over! We have now closed the Matching Challenge which was hosted on DOXA AI. Over the course of the competition we saw a total of 26 participants with 14 finalists making it onto the scoreboard. The final days were tense with many participants improving on their scores, submitting different methods and swapping places at the top of the scoreboard.
