mobile
Datasets
All datasets matching “mobile”Mobile-O-Post-Train
Mobile-O Post-Training Data
Unified Multimodal Post-Training · ~105K Quadruplet Samples
📌 Overview
This dataset is used for Stage 3: Unified Multimodal Post-Training of Mobile-O, a unified multimodal model for on-device understanding and generation.
The goal of this stage is to jointly improve both image generation and visual understanding through a multi-task objective using quadruplet samples.
📊 Dataset Format
Each sample is a quadruplet consisting of:… See the full description on the dataset page: https://huggingface.co/datasets/Amshaker/Mobile-O-Post-Train.MobileManiBenchMobile-R1
Dataset Card for Mobile-R1
Dataset Structure
images/: All the screenshots
data.jsonl: The trajectory data
Data Fields
All screenshots are stored in the images/ directory.
We describe the structure of a single trajectory entry from the file data.jsonl, which contains the full interaction trajectories and action history.
app_name: String. The name of the mobile application (e.g., "闲鱼" / Xianyu) where the task is performed.
trajectory_length: Integer. Number of… See the full description on the dataset page: https://huggingface.co/datasets/Mobile-R1/Mobile-R1.Mobile-O-Pre-Train
Mobile-O Pre-Training Data
Cross-Modal Alignment · 9M Text-Image Pairs
📌 Overview
This dataset is used for Stage 1: Cross-Modal Alignment pre-training of Mobile-O, a unified multimodal model for on-device understanding and generation.
The goal of this stage is to align the DiT diffusion decoder and Mobile Conditioning Projector (MCP) with the frozen VLM backbone using large-scale text-image pairs.
📊 Dataset Composition
Source
Samples
Description… See the full description on the dataset page: https://huggingface.co/datasets/Amshaker/Mobile-O-Pre-Train.MobileMem
MobileMem
MobileMem is the dataset release for MobileMem: On-Device Memory for Continually Evolving Agents, a benchmark for evaluating long-term memory systems in realistic mobile-assistant scenarios.
MobileMem models a continually evolving personal assistant that receives heterogeneous, temporally ordered interactions from users, assistants, and mobile applications. The benchmark evaluates whether a memory system can preserve, update, retrieve, and reason over personal… See the full description on the dataset page: https://huggingface.co/datasets/zjunlp/MobileMem.aloha_mobile_cabinetThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "aloha",
"total_episodes": 85,
"total_frames": 127500,
"total_tasks": 1,
"chunks_size": 1000,
"fps": 50,
"splits": {
"train": "0:85"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4",
"features": {… See the full description on the dataset page: https://huggingface.co/datasets/lerobot/aloha_mobile_cabinet.
