datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
phaseShift_shell_result_pdf
Phase Resonance / IRS-DCE
Topological Dynamics & Artificial Cognitive Physics
Open Structural Record of Basis-Relative Reorganization in Transformer Representation Space
All pdf Creative Creative Commons Attribution No Derivatives 4.0 International
This repository provides comprehensive PDF research materials and Python scripts and something for mathematical proofs in the field of AI.
📢 Achievement: total 51k+ Downloads!… See the full description on the dataset page: https://huggingface.co/datasets/meta13sphere/phaseShift_shell_result_pdf.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 · Project 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 goal… See the full description on the dataset page: https://huggingface.co/datasets/vanyacohen/MET-Bench-Shell.wdsm_cocos_lua_debug_shell# WDSM Cocos-Lua Debug Shell
这是从 D:\UU\23707_wdsm_wdsm_3k_20260319_28719_m0.apk 逆向整理出的 Cocos2d-x Lua Win32 调试壳工程，用于继续恢复、修改和预览游戏 UI / 建筑功能。
给 Max 接手先读
D:\UU\wdsm_cocos_lua_debug_shell\MAX_START_HERE.md
D:\UU\wdsm_cocos_lua_debug_shell\MAX_RUNBOOK.md
D:\UU\wdsm_cocos_lua_debug_shell\MAX_TASK_STATE.md
D:\UU\wdsm_cocos_lua_debug_shell\MAX_PROJECT_INDEX.md
D:\UU\wdsm_cocos_lua_debug_shell\work\mission-state.md
快速启动… See the full description on the dataset page: https://huggingface.co/datasets/jiuyhfdj/wdsm_cocos_lua_debug_shell.HateSieve-Dataset-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/HateSieve-Dataset-multimodal-hate-triplets.cartoon-captioned-datasets-salesforce-blip
Dataset Card for "cartoon-captioned-datasets-salesforce-blip"
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ShellfishNetReview
ShellFishNet Review
ShellFishNet Review is an anonymous 30-image preview sampled from 30 distinct classes in the formal ShellFishNet dataset. The full dataset contains 40,130 reviewed images across 100 marine and coastal shellfish classes, with acquisition/observation groups kept separate across the 32,143 training, 4,029 validation, and 3,958 test images.
This preview was selected with a fixed random seed for peer review and is not a new benchmark split. All images are copied… See the full description on the dataset page: https://huggingface.co/datasets/Anoynoumous0501/ShellfishNetReview.shellbench-num_shuffles-3cartoon-captioned-datasets
Dataset Card for "cartoon-captioned-datasets"
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shellbench-shuffle_speed-1.5chinese-poetry-text
Dataset Card for "chinese-poetry-text"
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chinese-poetry
Dataset Card for "chinese-poetry"
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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.shellbench-num_shuffles-0LOLv2_Syntheticstreams_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.violet-evergarden-ds
Dataset Card for "violet-evergarden-ds"
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shellbench-num_cups-5imnet1k_chiton_coat-of-mail_shell_sea_cradle_polyplacophoreshellbench-shuffle_speed-0.5shellbench-shuffle_speed-2.0shell-game-sim-v0shellbench-num_shuffles-5shellbench-num_cups-3shellbench-num_shuffles-1shellbench-num_cups-4shellbench-shuffle_speed-1.0Shells_in_the_Wild
Shells in the Wild
This is a dataset of broken seashells. These images were photographed by Alyssia Scott.
license: mit
shellbench-num_shuffles-4shellbench-num_shuffles-2shell