datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
IntentQAMovens-Intent Movens-Intent
An omni-modal benchmark for evaluating intent-to-humanoid motion generation
Evaluation-only split. Movens-Intent contains fixed benchmark samples selected from the Movens training-data pool. It is intended to evaluate models that were not trained on these exact samples. Any overlap with a model's training data must be disclosed.
Overview
Movens-Intent evaluates whether a humanoid motion model can follow intent expressed through four input… See the full description on the dataset page: https://huggingface.co/datasets/wendell0218/Movens-Intent.IntentBench
HumanOmniV2: From Understanding to Omni-Modal Reasoning with Context
Paper: HumanOmniV2: From Understanding to Omni-Modal Reasoning with Context
Code: GitHub Repository
Hugging Face Dataset: IntentBench (a key benchmark introduced with HumanOmniV2)
Other Resource: ModelScope
👀 HumanOmniV2 Overview
With the rapid evolution of multimodal large language models, the capacity to deeply understand and interpret human intentions has emerged as a critical capability… See the full description on the dataset page: https://huggingface.co/datasets/PhilipC/IntentBench.IntentRouterTrain
MODF-SIR: a Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning
MODF-SIR is a lightweight MLLM-based, distillation-augmented, multi-agent collaborative framework for social intelligence reasoning.
🔖 Model Details
Model type: Omni-modal Large Language Model
License: BSD-3-Clause
Project Page: Arxiv: https://arxiv.org/abs/2606.12018
Code Repository: GitHub: https://github.com/eeee-sys/MODF-SIR
👀 MODF-SIR… See the full description on the dataset page: https://huggingface.co/datasets/Harry-1234/IntentRouterTrain.RHINO-Human-IntentionRHINO: Learning Real-Time
Humanoid-Human-Object Interaction from Human Demonstrations
Jingxiao Chen*
·
Xinyao Li*
·
Jiahang Cao*
·
Zhengbang Zhu
·
Wentao Dong
Minghuan Liu
·
Ying Wen
·
Yong Yu
·
Liqing Zhang
·
Weinan Zhang
Release Code: https://github.com/TimerChen/RHINO
Website Page: https://humanoid-interaction.github.io/
Human Interaction Video Data
Guidance
See… See the full description on the dataset page: https://huggingface.co/datasets/TimerChen/RHINO-Human-Intention.IntentTrain
HumanOmniV2: From Understanding to Omni-Modal Reasoning with Context
This repository contains the dataset and associated information for the paper HumanOmniV2: From Understanding to Omni-Modal Reasoning with Context.
👀 HumanOmniV2 Overview
With the rapid evolution of multimodal large language models, the capacity to deeply understand and interpret human intentions has emerged as a critical capability, which demands detailed and thoughtful reasoning. In recent studies… See the full description on the dataset page: https://huggingface.co/datasets/PhilipC/IntentTrain.Human-Action-and-Intent
Structured Human Action and Intent Dataset - Telemetry - xAPI
Real-world task (VR-forklift-operation), capturing aligned state → action → outcome trajectories.
The data includes explicit intent, task structure, and reward signals (success/failure, safety events), making it directly usable for policy learning, RLHF, and training agents for physical AI and world models.
Dataset Statistics
Split
Episodes
Timesteps (50 Hz)
Shards
Size
train
9
384,950
3
183 MB… See the full description on the dataset page: https://huggingface.co/datasets/fl-simulators/Human-Action-and-Intent.