datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
bridge_module_wav2vec_librispeech_v1crc1-3d-histology-modulextac-umi-g1-insert-optical-module
Representative frames from TacVerse's bimanual
demonstrations.
Collected with XTac-UMI-G1 grippers, released as LeRobot
datasets.
This dataset was created using LeRobot.
Explore this dataset with the LeRobot Dataset Viewer.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "xtac_umi_g1",
"total_episodes": 10,
"total_frames": 17585,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100… See the full description on the dataset page: https://huggingface.co/datasets/TacVerse/xtac-umi-g1-insert-optical-module.crc1-3d-histology-module-v2CodeTruthAgent-V3-Module1-Evaluation
Source Code
https://github.com/Zeeshan78699/CodeTruthAgent — tag v3.0.0-module1
CodeTruth Agent V3 — Module 1 Evaluation
Validation results for Module 1: Repository Cognition Engine —
a deterministic, rule-based engine that scans a software repository
and determines its application type, primary framework, technology
stack, and file inventory.
What's in this dataset
FULL_DOMAIN_SUMMARY.md — summary table of all 69 validated repositories… See the full description on the dataset page: https://huggingface.co/datasets/ZeeshanSaud/CodeTruthAgent-V3-Module1-Evaluation.AgiBotWorld-Beta_G1_task_429_Install_memory_module
agibot_task_429
This dataset converts the AgiBot format uniformly into LeRobot V3.0.
Dataset Statistics
robot_name: G1
end_effector: 夹爪
task: 安装内存条
total_episodes: 46
total_tasks: 1
size: 2.5G
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_429_Install_memory_module.