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
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-30human-chromhmm-fullstack-data
human-chromhmm-fullstack-data
Dataset Summary
This dataset provides a multi-class annotation of genomic regions across the hg38 genome. It is derived from the ChromHMM fullstack annotation (Vu & Ernst, 2022; https://doi.org/10.1186/s13059-021-02572-z). Genomic regions are classified into 16 chromatin states. The data is derived from https://public.hoffman2.idre.ucla.edu/ernst/2K9RS//full_stack/full_stack_annotation_public_release/hg38/hg38_genome_100_segments.bed.gz.… See the full description on the dataset page: https://huggingface.co/datasets/Genentech/human-chromhmm-fullstack-data.so101-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.LLaVA-CoT-30k-base64-in-jsonlfullstackarena-table-study-v1
FullStackArena three-site table study (private working dataset)
Protocol fullstackarena-three-site-table-study-v1 (status qualified): five exact OpenRouter models × three cells × the signed Arenagram (124), RideApp (120) and Auction (100) task packs = 45 arms, 5,160 scored attempts, max_steps=30, five workers on five isolated lanes per batch.
Cells: table1_no_time_capped, table1_no_time_uncapped (no automatic time; the explicit get_website_time() tool stays available)… See the full description on the dataset page: https://huggingface.co/datasets/GroupieSteven/fullstackarena-table-study-v1.