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🇯🇵 Japan JOAI 2026, Mock task 3 (Kaggle)
Video Prompt Detective
Recover the text prompt used to generate each Wan 2.2 video, submitted as a prompt embedding and scored by subgroup-averaged cosine similarity.
- Statement
- English
- Data
- Data on Kaggle ↗
- To hand in
- A predictions file
- Hardware
- Needs a GPU (free Colab works)
- Data type
- 🧩 Mixed data
- Estimated difficulty
- Unknown
Get ready on the platform
The foundations of the learning path for this kind of data.
›How to tackle it
- Read the statement. What to hand in, the metric that scores you, the time and hardware limits.
- Explore the data. Size, format, missing values, how the labels are spread.
- Score yourself first. Keep part of the training data aside to measure your work before submitting.
- Start simple, then improve. A first solution that works end to end, then one change at a time.
- Compare with a solution. Once you have searched, open it and see what you would have done differently.
Unofficial copy: the organisers' original may differ.
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