datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
stargate_s04e01_100topkdiverse_text2vid
Robotwin-demo-clean-50-artifacts
RoboTwin beat_block_hammer demo_clean-50 Artifacts
这个仓库存放的是一次 RoboTwin 单任务闭环实验的关键结果产物，而不是官方完整数据集。
仓库内容
same_distribution/
demo_clean -> demo_clean 的评测结果与 100 个 rollout 视频
cross_configuration/
demo_clean -> demo_randomized 的评测结果与 100 个 rollout 视频
experiment_summary.json
已完成的闭环
本实验完整跑通了以下链路：
RoboTwin 官方任务程序生成专家轨迹
原始轨迹落盘为 raw data
ACT 预处理生成 training-ready data
ACT 正式训练
策略重新部署回 RoboTwin 环境
在 clean / randomized 两种配置下正式评测
关键结果
同分布：demo_clean ->… See the full description on the dataset page: https://huggingface.co/datasets/Full-Stack-Entity/Robotwin-demo-clean-50-artifacts.so101-pickup-putdown-60full_stack_dorm_100This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 44,
"total_frames": 12857,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:44"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/H2Ozone/full_stack_dorm_100.full_stack_dormThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 103,
"total_frames": 33360,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:103"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/H2Ozone/full_stack_dorm.so101-grasp-2so101-grasp-30so101-grasp-20so101-grasp-99
SO101 Grasp-99 Dataset Pack
简介
本目录是 SO101 真机抓取任务的数据仓库，用于和模型成果仓库 artifacts/ 配套使用。
设计目标：
数据仓库 与 模型仓库 分离
数据仓库存放结构化的 LeRobot 数据集
模型仓库存放成功模型、rollout 视频、README 和实验复盘
两个仓库互相联动，方便他人单独下载数据或模型进行复现
当前目录下包含三个分任务数据集：
so101-grasp-left33
so101-grasp-center33
so101-grasp-right33
它们分别对应：
左侧抓取工作区
中侧抓取工作区
右侧抓取工作区
每个子目录本身都是一个独立、可直接用于 LeRobot 训练的 dataset root。
目录结构
so101-grasp-99/
├── README.md
├── so101-grasp-left33/
│ ├── data/
│ ├── meta/
│ └── videos/
├──… See the full description on the dataset page: https://huggingface.co/datasets/Full-Stack-Entity/so101-grasp-99.