datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
AgiBotWorld-Beta
Key Features 🔑
1 million+ trajectories from 100 robots, with a total duration of 2976.4 hours.
100+ real-world scenarios across 5 target domains.
Cutting-edge hardware: visual tactile sensors / 6-DoF dexterous hand / mobile dual-arm robots
200+ types of tasks:
Contact-rich manipulation
Long-horizon planning
Multi-robot collaboration
87 types of Atomic Skills, including Tie, OpenJar, Peel, Sweep etc.
Your… See the full description on the dataset page: https://huggingface.co/datasets/agibot-world/AgiBotWorld-Beta.Beta-Pre-Train-Corpus
Reactive AI / Beta Pre-Train Corpus
Pre-training corpus for RxT-Beta models, created from public & open datasets. Includes high-quality english and polish web crawl data, mathematic and scientific subsets,
and code in different programming languages.
2k subsets are filtered for 1024-2048 tokens, except MegaMath Web Pro and GitHub Code subsets, that were filtered for 512-2048 tokens
Subsets & original datasets
FineWeb-Edu
fineweb-edu-s100 (51.3M examples) - 50% of… See the full description on the dataset page: https://huggingface.co/datasets/ReactiveAI/Beta-Pre-Train-Corpus.Beta-Hybrid-Interaction-SFTUpdesh_beta
📢 Updesh: Synthetic Multilingual Instruction Tuning Dataset for 13 Indic Languages
NOTE: This is an initial $\beta$-release. We plan to release subsequent versions of Updesh with expanded coverage and enhanced quality control. Future iterations will include larger datasets, improved filtering pipelines.
Updesh is a large-scale synthetic dataset designed to advance post-training of LLMs for Indic languages. It integrates translated reasoning data and synthesized open-domain… See the full description on the dataset page: https://huggingface.co/datasets/microsoft/Updesh_beta.jimei-fire-smoke-yolo-datasetMMScan-betalatent_worker_beta5_0AgiBotWorld-Beta_G1_task_362_Folded_shorts
agibot_task_362
This dataset converts the AgiBot format uniformly into LeRobot V3.0.
Dataset Statistics
robot_name: G1
end_effector: 夹爪
task: 褶皱的短裤part_1
total_episodes: 8233
total_tasks: 1
size: 385G
Dataset Structure
├── data
│ └── chunk-xxx
│ ├── file-xxx.parquet
├── meta
│ ├── episodes
│ │ └── chunk-xxx
│ │ └── file-xxx.parquet
│ ├── info.json
│ ├── stats.json
│ └── tasks.parquet
└── videos
├──… See the full description on the dataset page: https://huggingface.co/datasets/BAAI-DataCube/AgiBotWorld-Beta_G1_task_362_Folded_shorts.AgiBotWorld-Beta_G1_task_504_Supplement_supermarket_snacks
agibot_task_504
This dataset converts the AgiBot format uniformly into LeRobot V3.0.
Dataset Statistics
robot_name: G1
end_effector: 夹爪
task: 补充超市零食part_1
total_episodes: 2355
total_tasks: 1
size: 342G
Dataset Structure
├── data
│ └── chunk-xxx
│ ├── file-xxx.parquet
├── meta
│ ├── episodes
│ │ └── chunk-xxx
│ │ └── file-xxx.parquet
│ ├── info.json
│ ├── stats.json
│ └── tasks.parquet
└── videos
├──… See the full description on the dataset page: https://huggingface.co/datasets/BAAI-DataCube/AgiBotWorld-Beta_G1_task_504_Supplement_supermarket_snacks.AgiBotWorld-Beta_G1_task_508_Put_the_items_in_the_bag
agibot_task_508
This dataset converts the AgiBot format uniformly into LeRobot V3.0.
Dataset Statistics
robot_name: G1
end_effector: 夹爪
task: 把物品放在袋子里。
total_episodes: 2344
total_tasks: 1
size: 165G
Dataset Structure
├── data
│ └── chunk-xxx
│ ├── file-xxx.parquet
├── meta
│ ├── episodes
│ │ └── chunk-xxx
│ │ └── file-xxx.parquet
│ ├── info.json
│ ├── stats.json
│ └── tasks.parquet
└── videos
├──… See the full description on the dataset page: https://huggingface.co/datasets/BAAI-DataCube/AgiBotWorld-Beta_G1_task_508_Put_the_items_in_the_bag.AgiBotWorld-Beta_G1_task_497_Restocking_at_the_supermarket
agibot_task_497
This dataset converts the AgiBot format uniformly into LeRobot V3.0.
Dataset Statistics
robot_name: G1
end_effector: 夹爪
task: 在超市补货
total_episodes: 1486
total_tasks: 1
size: 172G
Dataset Structure
├── data
│ └── chunk-xxx
│ ├── file-xxx.parquet
├── meta
│ ├── episodes
│ │ └── chunk-xxx
│ │ └── file-xxx.parquet
│ ├── info.json
│ ├── stats.json
│ └── tasks.parquet
└── videos
├── observation.images.back_left_fisheye… See the full description on the dataset page: https://huggingface.co/datasets/BAAI-DataCube/AgiBotWorld-Beta_G1_task_497_Restocking_at_the_supermarket.AgiBotWorld-Beta_G1_task_507_prepare_breakfast
agibot_task_507
This dataset converts the AgiBot format uniformly into LeRobot V3.0.
Dataset Statistics
robot_name: G1
end_effector: 夹爪
task: 准备早餐
total_episodes: 822
total_tasks: 1
size: 95G
Dataset Structure
├── data
│ └── chunk-xxx
│ ├── file-xxx.parquet
├── meta
│ ├── episodes
│ │ └── chunk-xxx
│ │ └── file-xxx.parquet
│ ├── info.json
│ ├── stats.json
│ └── tasks.parquet
└── videos
├── observation.images.back_left_fisheye… See the full description on the dataset page: https://huggingface.co/datasets/BAAI-DataCube/AgiBotWorld-Beta_G1_task_507_prepare_breakfast.AgiBotWorld-Beta_G1_task_510_Stack_the_dishcloth_on_the_kitchen_countertop
agibot_task_510
This dataset converts the AgiBot format uniformly into LeRobot V3.0.
Dataset Statistics
robot_name: G1
end_effector: 夹爪
task: 把洗碗布叠在厨房台面上
total_episodes: 1465
total_tasks: 1
size: 102G
Dataset Structure
├── data
│ └── chunk-xxx
│ ├── file-xxx.parquet
├── meta
│ ├── episodes
│ │ └── chunk-xxx
│ │ └── file-xxx.parquet
│ ├── info.json
│ ├── stats.json
│ └── tasks.parquet
└── videos
├──… See the full description on the dataset page: https://huggingface.co/datasets/BAAI-DataCube/AgiBotWorld-Beta_G1_task_510_Stack_the_dishcloth_on_the_kitchen_countertop.agibotworld-beta-rgb-lance
AgiBotWorld-Beta (LeRobot lance format)
agibot-world/AgiBotWorld-Beta
converted to the LeRobot lance storage format, uploaded in coordination with the AgiBot team.
160,454 episodes, 286,556,463 frames, 8 RGB cameras (AV1, copied from the source without re-encoding),
state[20] and action[22] at 30 fps.
Read it in place, no download needed (lerobot with the lancedb extra):
from lerobot.datasets import LeRobotDataset
ds = LeRobotDataset("lance-format/agibotworld-beta-rgb-lance")… See the full description on the dataset page: https://huggingface.co/datasets/lance-format/agibotworld-beta-rgb-lance.AgiBotWorld-Beta_G1_task_599_Fold_up_the_shorts
agibot_task_599
This dataset converts the AgiBot format uniformly into LeRobot V3.0.
Dataset Statistics
robot_name: G1
end_effector: 夹爪
task: 把短裤叠起来part_1
total_episodes: 3057
total_tasks: 1
size: 175G
Dataset Structure
├── data
│ └── chunk-xxx
│ ├── file-xxx.parquet
├── meta
│ ├── episodes
│ │ └── chunk-xxx
│ │ └── file-xxx.parquet
│ ├── info.json
│ ├── stats.json
│ └── tasks.parquet
└── videos
├──… See the full description on the dataset page: https://huggingface.co/datasets/BAAI-DataCube/AgiBotWorld-Beta_G1_task_599_Fold_up_the_shorts.AgiBotWorld-Beta_G1_task_525_Placing_tableware_in_the_restaurant
agibot_task_525
This dataset converts the AgiBot format uniformly into LeRobot V3.0.
Dataset Statistics
robot_name: G1
end_effector: 夹爪
task: 在餐厅摆放餐具
total_episodes: 2267
total_tasks: 1
size: 155G
Dataset Structure
├── data
│ └── chunk-xxx
│ ├── file-xxx.parquet
├── meta
│ ├── episodes
│ │ └── chunk-xxx
│ │ └── file-xxx.parquet
│ ├── info.json
│ ├── stats.json
│ └── tasks.parquet
└── videos
├──… See the full description on the dataset page: https://huggingface.co/datasets/BAAI-DataCube/AgiBotWorld-Beta_G1_task_525_Placing_tableware_in_the_restaurant.AgiBotWorld-Beta_G1_task_527_Arrange_the_sofa
agibot_task_527
This dataset converts the AgiBot format uniformly into LeRobot V3.0.
Dataset Statistics
robot_name: G1
end_effector: 夹爪
task: 安排沙发
total_episodes: 1429
total_tasks: 1
size: 189G
Dataset Structure
├── data
│ └── chunk-xxx
│ ├── file-xxx.parquet
├── meta
│ ├── episodes
│ │ └── chunk-xxx
│ │ └── file-xxx.parquet
│ ├── info.json
│ ├── stats.json
│ └── tasks.parquet
└── videos
├── observation.images.back_left_fisheye… See the full description on the dataset page: https://huggingface.co/datasets/BAAI-DataCube/AgiBotWorld-Beta_G1_task_527_Arrange_the_sofa.AgiBotWorld-Beta_G1_task_520_Fold_the_shorts_on_the_bed
agibot_task_520
This dataset converts the AgiBot format uniformly into LeRobot V3.0.
Dataset Statistics
robot_name: G1
end_effector: 夹爪
task: 把短裤叠在床上
total_episodes: 1792
total_tasks: 1
size: 49G
Dataset Structure
├── data
│ └── chunk-xxx
│ ├── file-xxx.parquet
├── meta
│ ├── episodes
│ │ └── chunk-xxx
│ │ └── file-xxx.parquet
│ ├── info.json
│ ├── stats.json
│ └── tasks.parquet
└── videos
├── observation.images.back_left_fisheye… See the full description on the dataset page: https://huggingface.co/datasets/BAAI-DataCube/AgiBotWorld-Beta_G1_task_520_Fold_the_shorts_on_the_bed.AgiBotWorld-Beta_G1_task_543_Packaging_detergent
agibot_task_543
This dataset converts the AgiBot format uniformly into LeRobot V3.0.
Dataset Statistics
robot_name: G1
end_effector: 夹爪
task: 包装洗涤剂
total_episodes: 1993
total_tasks: 1
size: 110G
Dataset Structure
├── data
│ └── chunk-xxx
│ ├── file-xxx.parquet
├── meta
│ ├── episodes
│ │ └── chunk-xxx
│ │ └── file-xxx.parquet
│ ├── info.json
│ ├── stats.json
│ └── tasks.parquet
└── videos
├── observation.images.back_left_fisheye… See the full description on the dataset page: https://huggingface.co/datasets/BAAI-DataCube/AgiBotWorld-Beta_G1_task_543_Packaging_detergent.AgiBotWorld-Beta_G1_task_570_Fold_the_T-shirt_on_the_field
agibot_task_570
This dataset converts the AgiBot format uniformly into LeRobot V3.0.
Dataset Statistics
robot_name: G1
end_effector: 夹爪
task: 把t恤叠在场上
total_episodes: 2208
total_tasks: 1
size: 174G
Dataset Structure
├── data
│ └── chunk-xxx
│ ├── file-xxx.parquet
├── meta
│ ├── episodes
│ │ └── chunk-xxx
│ │ └── file-xxx.parquet
│ ├── info.json
│ ├── stats.json
│ └── tasks.parquet
└── videos
├──… See the full description on the dataset page: https://huggingface.co/datasets/BAAI-DataCube/AgiBotWorld-Beta_G1_task_570_Fold_the_T-shirt_on_the_field.AgiBotWorld-Beta_G1_task_480_Making_sandwiches_with_salad_dressing_1213_version
agibot_task_480
This dataset converts the AgiBot format uniformly into LeRobot V3.0.
Dataset Statistics
robot_name: G1
end_effector: 夹爪
task: 用沙拉酱做三明治1213版
total_episodes: 916
total_tasks: 1
size: 84G
Dataset Structure
├── data
│ └── chunk-xxx
│ ├── file-xxx.parquet
├── meta
│ ├── episodes
│ │ └── chunk-xxx
│ │ └── file-xxx.parquet
│ ├── info.json
│ ├── stats.json
│ └── tasks.parquet
└── videos
├──… See the full description on the dataset page: https://huggingface.co/datasets/BAAI-DataCube/AgiBotWorld-Beta_G1_task_480_Making_sandwiches_with_salad_dressing_1213_version.AgiBotWorld-Beta_G1_task_428_Open_the_drawer_and_store_items
agibot_task_428
This dataset converts the AgiBot format uniformly into LeRobot V3.0.
Dataset Statistics
robot_name: G1
end_effector: 夹爪
task: 打开抽屉,存放物品
total_episodes: 1782
total_tasks: 1
size: 138G
Dataset Structure
├── data
│ └── chunk-xxx
│ ├── file-xxx.parquet
├── meta
│ ├── episodes
│ │ └── chunk-xxx
│ │ └── file-xxx.parquet
│ ├── info.json
│ ├── stats.json
│ └── tasks.parquet
└── videos
├──… See the full description on the dataset page: https://huggingface.co/datasets/BAAI-DataCube/AgiBotWorld-Beta_G1_task_428_Open_the_drawer_and_store_items.fedgraph_ogbn-papers100M_195trainer_0hop_iid_beta_10000.0_v1AgiBotWorld-Beta_G1_task_425_Prepare_oatmeal_Congee
agibot_task_425
This dataset converts the AgiBot format uniformly into LeRobot V3.0.
Dataset Statistics
robot_name: G1
end_effector: 夹爪
task: 准备燕麦粥
total_episodes: 1258
total_tasks: 1
size: 124G
Dataset Structure
├── data
│ └── chunk-xxx
│ ├── file-xxx.parquet
├── meta
│ ├── episodes
│ │ └── chunk-xxx
│ │ └── file-xxx.parquet
│ ├── info.json
│ ├── stats.json
│ └── tasks.parquet
└── videos
├── observation.images.back_left_fisheye… See the full description on the dataset page: https://huggingface.co/datasets/BAAI-DataCube/AgiBotWorld-Beta_G1_task_425_Prepare_oatmeal_Congee.AgiBotWorld-Beta_G1_task_422_Packaging_items_for_industrial_logistics
agibot_task_422
This dataset converts the AgiBot format uniformly into LeRobot V3.0.
Dataset Statistics
robot_name: G1
end_effector: 夹爪
task: 为工业物流包装物品
total_episodes: 2089
total_tasks: 1
size: 150G
Dataset Structure
├── data
│ └── chunk-xxx
│ ├── file-xxx.parquet
├── meta
│ ├── episodes
│ │ └── chunk-xxx
│ │ └── file-xxx.parquet
│ ├── info.json
│ ├── stats.json
│ └── tasks.parquet
└── videos
├──… See the full description on the dataset page: https://huggingface.co/datasets/BAAI-DataCube/AgiBotWorld-Beta_G1_task_422_Packaging_items_for_industrial_logistics.GridCorpus_9M_Sudoku_Puzzles_Enriched
╔══════════════════════════════════════════════════════════════════════╗
║ ║
║ G R I D C O R P U S ║
║ ║
║ "004300209005009001070060043..." ║
║ │ ║
║ ▼… See the full description on the dataset page: https://huggingface.co/datasets/beta3/GridCorpus_9M_Sudoku_Puzzles_Enriched.AgiBotWorld-Beta_G1_task_561_Fold_the_shorts_flat
agibot_task_561
This dataset converts the AgiBot format uniformly into LeRobot V3.0.
Dataset Statistics
robot_name: G1
end_effector: 夹爪
task: 把短裤折平
total_episodes: 2063
total_tasks: 1
size: 99G
Dataset Structure
├── data
│ └── chunk-xxx
│ ├── file-xxx.parquet
├── meta
│ ├── episodes
│ │ └── chunk-xxx
│ │ └── file-xxx.parquet
│ ├── info.json
│ ├── stats.json
│ └── tasks.parquet
└── videos
├── observation.images.back_left_fisheye… See the full description on the dataset page: https://huggingface.co/datasets/BAAI-DataCube/AgiBotWorld-Beta_G1_task_561_Fold_the_shorts_flat.AgiBotWorld-Beta_G1_task_597_Supplement_inventory_in_the_basket_area
agibot_task_597
This dataset converts the AgiBot format uniformly into LeRobot V3.0.
Dataset Statistics
robot_name: G1
end_effector: 夹爪
task: 补充吊篮区域的库存part_1
total_episodes: 1310
total_tasks: 1
size: 147G
Dataset Structure
├── data
│ └── chunk-xxx
│ ├── file-xxx.parquet
├── meta
│ ├── episodes
│ │ └── chunk-xxx
│ │ └── file-xxx.parquet
│ ├── info.json
│ ├── stats.json
│ └── tasks.parquet
└── videos
├──… See the full description on the dataset page: https://huggingface.co/datasets/BAAI-DataCube/AgiBotWorld-Beta_G1_task_597_Supplement_inventory_in_the_basket_area.ASCII_Alphabet_Dataset_571_Fonts
Dataset Description
This dataset provides programmatically generated ASCII representations of the English alphabet rendered using 571 fonts from the PyFiglet library. Each letter (A–Z) is available in multiple typographic styles, resulting in a structured and high-variability dataset suitable for research, experimentation, and creative applications.
The dataset was created to support tasks involving text-based pattern recognition, synthetic data generation, typography analysis, and… See the full description on the dataset page: https://huggingface.co/datasets/beta3/ASCII_Alphabet_Dataset_571_Fonts.AgiBotWorld-Beta_G1_task_369_Take_the_clothes_out_of_the_washing_machine
agibot_task_369
This dataset converts the AgiBot format uniformly into LeRobot V3.0.
Dataset Statistics
robot_name: G1
end_effector: 夹爪
task: 把衣服从洗衣机里拿出来
total_episodes: 1127
total_tasks: 1
size: 87G
Dataset Structure
├── data
│ └── chunk-xxx
│ ├── file-xxx.parquet
├── meta
│ ├── episodes
│ │ └── chunk-xxx
│ │ └── file-xxx.parquet
│ ├── info.json
│ ├── stats.json
│ └── tasks.parquet
└── videos
├──… See the full description on the dataset page: https://huggingface.co/datasets/BAAI-DataCube/AgiBotWorld-Beta_G1_task_369_Take_the_clothes_out_of_the_washing_machine.
