datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ml-bootcamp-faults
ML Bootcamp — per-team data-fault packages
Week-3 exercise material for a three-week multimodal skin-lesion classification
course at Hongik University. Each team##_fault.tar.gz is a copy of the course
training data into which a deliberate data-quality problem has been
introduced. Teams diagnose the problem, repair it, and add a check that would
have caught it.
Each archive carries a fault_config.yaml with a deliberately vague
visible_hint — the symptom, never the cause. The… See the full description on the dataset page: https://huggingface.co/datasets/hongik-aicourses/ml-bootcamp-faults.ml-bootcamp-data
ML Bootcamp — course data bundles
Teaching material for a three-week multimodal skin-lesion classification course
at Hongik University. Distributed as checksum-verified archives that the course
starter repository downloads and validates.
Bundle
Contents
standard.tar.gz
training and development split — clinical images plus patient/lesion metadata, labeled
public_leaderboard.tar.gz
development leaderboard inputs — unlabeled
Labels for the leaderboard set are not… See the full description on the dataset page: https://huggingface.co/datasets/hongik-aicourses/ml-bootcamp-data.