joker
Datasets
All datasets matching “joker”MMR-VBench
MMR-V: Can MLLMs Think with Video? A Benchmark for Multimodal Deep Reasoning in Videos
📝 Paper |
💻 Code |
🏠 Homepage
👀 MMR-V Data Card ("Think with Video")
The sequential structure of videos poses a challenge to the ability of multimodal large language models (MLLMs) to locate multi-frame evidence🕵️ and conduct multimodal reasoning. However, existing video benchmarks mainly focus on understanding tasks, which only require models to match frames… See the full description on the dataset page: https://huggingface.co/datasets/JokerJan/MMR-VBench.WildGUI_Screenshots
WildGUI Screenshots (part16–19)
This repository hosts the screenshot images for part16–part19 of
WildGUI, the dataset introduced by Video2GUI. It extends the main release at
xwm/WildGUI, which already
contains all annotations plus the screenshots for part1–part15.
The two repositories are split as follows:
Repository
Annotations
Screenshots
xwm/WildGUI
All parts (JSONL)
part1–part15
joker-112/WildGUI_Screenshots (this repo)
—
part16–part19
So the annotations… See the full description on the dataset page: https://huggingface.co/datasets/joker-112/WildGUI_Screenshots.my-lora-backup-datatake_wrong_item_right_armGaussFly-huayiguan-tracking-100
GaussFly Huayiguan Tracking Dataset
华裔馆（huayiguan）场景的双智能体 Tracking 测试数据集。G1 在场景中导航，Rear 无人机跟踪 G1；每秒规划一次，保存 1 条最优轨迹和 10 条次优候选轨迹。
本数据集用于先验证数据加载、视觉 Tracking、候选轨迹预测/排序和训练流程能否跑通。它只包含成功 episode，不包含失败轨迹。
数据概况
项目
数值
成功 episode
100
Shard
5 个，每个 20 episode
总帧数
127,384
仿真步长
0.02 s（50 Hz）
RGB
Rear 第一视角，256 × 256 × 3，uint8
重规划记录
2,600
每次规划
11 条候选轨迹
每条候选
未来 4 s，0.1 s 间隔，共 41 个状态
自动验证
100/100 episode 通过
文件结构
README.md… See the full description on the dataset page: https://huggingface.co/datasets/jokeryao/GaussFly-huayiguan-tracking-100.ForceFlow
ForceFlow Dataset
ForceFlow: Learning to Feel and Act via Contact-Driven Flow Matching
[Project Page] | [Code]
Contact-rich manipulation remains one of the hardest problems in robot learning: vision alone cannot capture the high-frequency contact dynamics that determine whether a plug seats correctly, a stamp triggers cleanly, or a wipe exerts consistent pressure. This dataset is collected to support ForceFlow, a force-aware reactive framework built on flow matching that… See the full description on the dataset page: https://huggingface.co/datasets/JokerESC/ForceFlow.