datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
bucketmetamon-teams
Metamon Teams
Pokémon Showdown teambuilder files compiled or procedurally generated by the Metamon project.
Teams in these datasets were legal on the Showdown version we were using when they were generated, but may not be legal today. We do release new versions, but cannot keep up with rule changes. You can always edit the rules on your local server to make them legal, but you should be careful to verify teams before deploying to another server.
set_name
Teams Per… See the full description on the dataset page: https://huggingface.co/datasets/jakegrigsby/metamon-teams.FRoM-W1-Datasets
FRoM-W1: Towards General Humanoid Whole-Body Control with Language Instructions
The Humanoid Intelligence Team from FudanNLP and OpenMOSS
Introduction
Humanoid robots are capable of performing various actions such as greeting, dancing and even backflipping. However, these motions are often hard-coded or specifically trained, which limits their versatility. In this work, we present FRoM-W1[^1]… See the full description on the dataset page: https://huggingface.co/datasets/OpenMOSS-Team/FRoM-W1-Datasets.TalkBody4D
TalkBody4D Dataset
This dataset contains four multi-view image sequences used in our paper "TaoAvatar: Real-Time Lifelike Full-Body Talking Avatars
for Augmented Reality via 3D Gaussian Splatting". They are captured with 59 well-calibrated RGB cameras in 20 fps, with a resolution of 3000×4000 and lengths ranging from 800 to 1000 frames. We use the data to evaluate our method for building animatable human body avatars.
We also provide the SMPL-X fitting in the dataset.… See the full description on the dataset page: https://huggingface.co/datasets/PixelAI-Team/TalkBody4D.CheXNetpokechamp_vgc_teams