← All problems

🇬🇪 Georgia AI Olympiad 2025, Final Round

Semantic Equivalence of Questions

Fine-tune a small provided BERT to detect duplicate questions using only positive pairs and unpaired questions.

Data
The data comes with the statement.
To hand in
A predictions file and the notebook that makes it
Data type
📝 Text
Estimated difficulty
Unknown

Get ready on the platform

The foundations of the learning path for this kind of data.

›How to tackle it
  1. Read the statement. What to hand in, the metric that scores you, the time and hardware limits.
  2. Explore the data. Size, format, missing values, how the labels are spread.
  3. Score yourself first. Keep part of the training data aside to measure your work before submitting.
  4. Start simple, then improve. A first solution that works end to end, then one change at a time.
  5. Compare with a solution. Once you have searched, open it and see what you would have done differently.

Links taken from community indexes (checklist.sota-ai.org, awesome-ioai-tasks) and not all checked.

The statement, data and solutions belong to their authors; we only link to them.

Are you the author or organiser? Ask for a correction or removal