Maintained by Tuteliq AB. Confidential, held-out evaluation dataset. The card is public; the data is gated (manual approval). All rights reserved — do not redistribute.
TUT-100 is Tuteliq's benchmark for online child-grooming detection. It is designed to measure trajectory-aware detection — the recognition of grooming as it unfolds across a conversation — and to expose the gap between single-message content classifiers and detectors… See the full description on the dataset page:
https://huggingface.co/datasets/tuteliq/tut-100.
