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Xrobotwin Data dataset by Ssr Xembodiment
⭐ 60.1
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Dataset

Xrobotwin Data

by Ssr Xembodiment ssr-xembodiment/xrobotwin_data
Free2AITools Nexus Index
60.1
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 61
P: Popularity 50
R: Recency 85
Q: Quality 50
Tech Context
Vital Performance —
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Data Integrity 60.1 FNI Score
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Dataset Information Summary
Entity Passport
Registry ID ssr-xembodiment/xrobotwin_data
License Apache-2.0
Provider huggingface
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Cite this dataset

Academic & Research Attribution

BibTeX 
@misc{hf_dataset_ssr_xembodiment_xrobotwin_data,
  author = {Ssr Xembodiment},
  title = {Xrobotwin Data Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/datasets/ssr-xembodiment/xrobotwin_data}},
  note = {Accessed via Free2AITools.}
}
APA Style
Ssr Xembodiment. (2026). Xrobotwin Data [Dataset]. Free2AITools. https://huggingface.co/datasets/ssr-xembodiment/xrobotwin_data

🔬Technical Deep Dive

Full Specifications [+]

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 61
Popularity (P) 50
Recency (R) 85
Quality (Q) 50

💬 Index Insight

FNI V2.0 for Xrobotwin Data: Authority (A:61), Popularity (P:50), Recency (R:85), Quality (Q:50). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
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Downloads
25,061

🎯 Task Categories

robotics

👁️ Data Preview

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Schema structure is shown in the Field Logic panel when available.

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🧬 Field Logic

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Schema not yet indexed for this dataset.

Dataset Specification

XRoboTwin 跨本体操作数据集

基于 RoboTwin 仿真环境采集的多任务、多本体专家演示数据, 用于跨本体模仿学习 / 策略训练（如 LBM）。

目录结构（长期可扩展）

数据按**批次（batch）→ 任务（task）→ 本体组（embodiment group）**三级组织,新批次/新任务同构并列、互不覆盖:

text 
/                              # 一次采集设置的快照,如 train300
└── /_clean_/    # N = 每组成功演示条数
    ├── data/episode*.hdf5            # 训练数据(主)：RGB(head+wrist) + qpos + endpose
    ├── video/episode*.mp4            # 预览视频
    ├── _traj_data/episode*.pkl       # 规划轨迹缓存
    ├── scene_info.json               # 每条 episode 的场景信息(可复现)
    └── seed.txt                      # 成功 episode 的随机种子(可复现)

命名遵循 {task}/{embodiment}_clean_{N},与 RoboTwin 仓库内部数据约定一致。

本体与采集配置

本体(embodiment) 注册名 双臂间距 dis 说明
aloha-agilex aloha-agilex 原生双臂 —
ARX-X5 ARX-X5 0.6 伪双臂
franka-panda franka-panda 0.8 伪双臂
piper piper 0.4 伪双臂
ur5-wsg ur5-wsg 0.8 伪双臂

相机: head + wrist 均为 D435,采集 RGB；数据类型含 qpos、endpose。

批次台账

批次 采集日期 任务数 本体数 每组条数 组数 HDF5 体量
train300 2026-06 9 5 300 45 ~81 GB

`train300` 任务清单（9）

move_can_pot, place_a2b_left, place_container_plate, place_mouse_pad, grab_roller, place_bread_basket, place_burger_fries, place_phone_stand, stack_bowls_two

追加新批次的方法

数据采集与上传均已 config 化（见 XRoboTwin 仓库）:

bash 
# 1) 采集：编辑 collect_manifests/.yml 后
bash run_collect_manifest.sh collect_manifests/.yml

# 2) 上传：指向新批次目录即可（自动断点续传、不覆盖其他批次）
UP_FOLDER=/mnt/xspark-data/XRoboTwinData/ bash run_upload_hf.sh

📊 Structured Schema (Zero-Fabrication)

Feature Key Data Type
video Video

Estimated Rows: `39,721

Social Proof

HuggingFace Hub
25.1KDownloads
Hub Discussions
🤗 Data Source: Hugging Face ↗
🔄 Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

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🛡️ Dataset Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-dataset--ssr-xembodiment--xrobotwin_data
slug
ssr-xembodiment--xrobotwin_data
source
huggingface
author
Ssr Xembodiment
license
Apache-2.0
tags
task_categories:robotics, license:apache-2.0, size_categories:10k<n<100k, modality:video, region:us, robotics, manipulation, cross-embodiment, robotwin, imitation-learning

📊 Engagement & Metrics

downloads
25,061

Data indexed from public sources. Updated daily.