replicaverse/replica-predictors

REPLICA predictor store Per-unit predictors for computational models of human sentence processing: surprisal, several entropies, similarity-adjusted surprisal, information value and unigram surprisal, scored by language models over reading corpora (eye tracking, self-paced reading, maze, N400). Every row names the text unit it describes and the unit its number is in. dataset tag predictor stimulus_id unit_index text_unit value value_unit layer storage_class unit_rule… See the full description on the dataset page: https://huggingface.co/datasets/replicaverse/replica-predictors.

<iframe src="https://silytics.si/embed/item/42bafede-5627-4700-bf9f-8ac0bda7a59b" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 14 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.