datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
fant-koala-modedist
fant-koala-modedist
description
fant-koala-modedist is a pseudo-labeled moderation dataset created from akaruineko/fantastic-offensive using the KoalaAI/Text-Moderation model.
The dataset stores the teacher model's predicted moderation labels together with their probabilities, making it suitable for experiments with multi-label classification, pseudo-labeling, and knowledge distillation.
pipeline
akaruineko/fantastic-offensive
↓… See the full description on the dataset page: https://huggingface.co/datasets/akaruineko/fant-koala-modedist.all-some-l
Language-only All vs. Some
Dataset Description
This dataset consists of a list of 1,800 questions that test whether models correctly interpret the universal quantifier "all" as applying
to a scenario where every object has a certain property and the indefinite quantifier "some" as applying to a scenario where a non-empty
subsert of all objects have a certain property. All questions in this dataset present scenarios that are described solely using natural
language. Each… See the full description on the dataset page: https://huggingface.co/datasets/koalab/all-some-l.