Checklist NEOAI 2026 Homework (take-home practice problems) · Task 3
Find Comments
Predict the five most likely authors of each chat comment from a social network.
The task
The training set contains chat comments from a social network with their authors; the test set contains only the texts. Data are in chronological order, and the test set contains the last 50 messages (filtered by length) of each user. For each test comment the contestant returns the five most probable authors.
Abridged by SOTA from the official materials. The official statement has the exact rules, and it wins wherever this summary differs.
At a glance
- You get
train_texts.csv(index, text, target = commentator id),test_texts.csv(index, text),sample_submission.csv.- You submit
- CSV with columns index, target, where target lists 5 predicted commentator ids.
- Scoring
- Recall@5: the share of test comments whose true author is among the five predicted authors.
- Rules
- External data are prohibited; downloading NLTK corpora is allowed.
- Libraries outside the standard Kaggle environment are prohibited.
- The only pretrained weights allowed are deepvk/USER2-small and deepvk/USER2-base.
- Format
- Take-home practice problem for NEOAI 2026 participants (Kaggle, 12 Apr – 1 May 2026). Individual.