datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
MET-Bench-Shell
MET-Bench: Multimodal Entity Tracking for Evaluating the Limitations of Vision-Language and Reasoning Models
Vanya Cohen and Raymond Mooney · ICML 2026
Paper · Publication page · Load the dataset · Citation
Domains: Chess · Shell Game · Minecraft
MET-Bench evaluates entity state tracking across text and image modalities. This repository contains the Shell Game domain.
Shell Game
A ball is placed under one of three shells. The shells are swapped pairwise, and the… See the full description on the dataset page: https://huggingface.co/datasets/vanyacohen/MET-Bench-Shell.cartoon-captioned-datasets-salesforce-blip
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cartoon-captioned-datasets
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multimodal-hate-triplets
Multimodal Hate Triplets
This is the triplet dataset accompanying our paper, A Context-Aware Contrastive Learning Framework for Hateful Meme Detection and Segmentation, by Xuanyu Su, Yansong Li, Diana Inkpen, and Nathalie Japkowicz, published in Findings of the Association for Computational Linguistics: NAACL 2025. The dataset was constructed for contrastive learning in HateSieve, the framework introduced in the paper. See the ACL Anthology record for publication details and the… See the full description on the dataset page: https://huggingface.co/datasets/Shelly97/multimodal-hate-triplets.few-shot-shells
Citation
@article{DBLP:journals/corr/abs-2101-04775,
author = {Bingchen Liu and
Yizhe Zhu and
Kunpeng Song and
Ahmed Elgammal},
title = {Towards Faster and Stabilized {GAN} Training for High-fidelity Few-shot
Image Synthesis},
journal = {CoRR},
volume = {abs/2101.04775},
year = {2021},
url = {https://arxiv.org/abs/2101.04775},
eprinttype = {arXiv},
eprint = {2101.04775},
timestamp… See the full description on the dataset page: https://huggingface.co/datasets/huggan/few-shot-shells.violet-evergarden-ds
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chinese-poetry-text
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streams_shells_neither
AION-Search streams, shells, and hard negatives
Catalog with 102 objects: 39 streams, 34
shells, and 29 negatives.
Splits
The test split is a reproducible stratified random sample with exactly 10
streams, 10 shells, and 10 neither objects. The remaining 72 objects form the
training split (29 streams, 24 shells, 19 neither). Random seed: 20260802.
Columns
image_rgb: 256 x 256 Legacy Survey DR10 color JPEG.
image_stretched: the same RGB cutout after… See the full description on the dataset page: https://huggingface.co/datasets/astronolan/streams_shells_neither.chinese-poetry
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imnet1k_chiton_coat-of-mail_shell_sea_cradle_polyplacophore