Hi @bose, welcome to the project, and thanks for offering to help!
We’re currently in the data-labeling stage. You can get started by following the Volunteer Guide and using the Labeling Tool linked above. Choose any day, complete the labeling, export the CSV, and upload it to the shared folder. There’s no need to reserve a day.
We’ll share more about the data analysis, ML, and software work as we move to the next stage. Please send me your email address in a private message so I can keep you updated.
Thank you for the offer. We’d be happy to have you help with the validation side.
Any statistical evaluation of the labeled intervals would be valuable. There are still a few days left in the labeling phase, but feel free to work with the data collected so far.
For evaluation we currently have this script:
Feel free to build on it or improve it as you see fit.!
Hi everyone, the labeling phase is approaching its deadline. If you would like to contribute, please complete any remaining SAA labeling you can and upload your CSV files to the shared folder before the phase closes. Every contribution helps us improve and validate the dataset.
New team members: please also add yourselves to the SAA ML phonebook team sheet and fill in your skills. This will help us understand how you would like to contribute to the next stages of the project.
Thanks, Martin! I can open the notebook. I’ll start with interval checks and duration summaries, keeping each volunteer’s labels separate, then compare agreement where the same periods were labeled. I’ll share the checker and a short report here for review.
Hi,
My name is Hamza, and I’m from Morocco. I’m in my second year of college, and I’m interested in joining your project to practice what I’ve learned and improve my skills. I’m a beginner in data science, and I’m still learning.
My name is Sahithi. I recently joined the AI/ML AWG and came across the SAA/GCR separation project. I’m a CS student with experience in deep learning, ML systems, and research, and I’d love to get involved.
I saw that the manual labeling phase is wrapping up, so I was wondering if there are opportunities to contribute to the next stages, particularly model development, experiments, or evaluation. Happy to help wherever would be useful!