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data-nav-submenu-item="true" style="--nav-child-index:0" href="/dataset"><span class="nav-dropdown-copy"><span class="nav-dropdown-label">Our Datasets</span><span class="nav-dropdown-description">Datasets Overview</span></span></a><a class="nav-dropdown-link is-active" aria-current="page" data-nav-submenu-item="true" style="--nav-child-index:1" href="/blog/20260316_xperience_10m"><span class="nav-dropdown-copy"><span class="nav-dropdown-label">Xperience-10M</span><span class="nav-dropdown-description">Ropediaâs Flagship Dataset</span></span></a><a class="nav-dropdown-link" href="https://xperience-enterprise.ropedia.com/" target="_blank" rel="noopener noreferrer" data-nav-submenu-item="true" style="--nav-child-index:2"><span class="nav-dropdown-copy"><span class="nav-dropdown-label">Xperience Enterprise</span><span class="nav-dropdown-description">Ropediaâs Commercial Dataset</span></span></a><a class="nav-dropdown-link" data-nav-submenu-item="true" style="--nav-child-index:3" href="/evaluation"><span class="nav-dropdown-copy"><span class="nav-dropdown-label">Evaluation Package</span><span class="nav-dropdown-description">Curated Data for Evaluation</span></span></a></div></div><a class="nav-link" href="/homie">Hardware</a><a class="nav-link" href="/collaboration">Collaboration</a><a class="nav-link" href="/research">Research</a><a class="nav-link contact-trigger" href="#">Contact</a></div><div class="nav-right"><a href="#" class="btn-nav primary contact-trigger" aria-label="Get in Touch">Get in Touch</a></div><button class="nav-mobile-toggle" aria-label="Toggle menu" aria-expanded="false" aria-controls="primary-mobile-menu"><span class="hamburger-line "></span><span class="hamburger-line "></span><span class="hamburger-line "></span></button></div></nav><section class="x10m-page-hero" aria-label="Xperience-10M overview"><div class="x10m-page-hero-media" aria-hidden="true"><img alt="" decoding="async" data-nimg="fill" class="x10m-page-hero-image" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" src="/dataset.png"/></div><div class="x10m-page-hero-content"><a class="hero-toolkit-badge x10m-page-hero-badge" href="https://github.com/Ropedia/HOMIE-toolkit" target="_blank" rel="noopener noreferrer"><span class="hero-toolkit-badge__label-wrap"><span class="hero-toolkit-badge__label">Hardware</span></span><span class="hero-toolkit-badge__main"><span class="hero-toolkit-badge__text">Homie Toolkit</span><span class="hero-toolkit-badge__arrow" aria-hidden="true">
1<svg width="16" height="16" viewBox="0 0 16 16" fill="none" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" focusable="false"><path d="M12.175 9H0V7H12.175L6.575 1.4L8 0L16 8L8 16L6.575 14.6L12.175 9Z" fill="currentColor"></path></svg></span></span></a><h1 class="x10m-page-hero-title">Xperience-10M: The <span>Largest</span><br/>Human Xperience Dataset</h1><p class="x10m-page-hero-desc">A large-scale 4D human experience dataset spanning video, audio, depth, pose, motion capture, inertial sensing, and language annotation for physical AI.</p><div class="x10m-page-hero-actions"><span class="academic-btn-wrap"><a href="https://huggingface.co/datasets/ropedia-ai/xperience-10m" target="_blank" rel="noopener noreferrer" class="academic-btn"><span class="academic-btn-label">Start For Free</span><span class="academic-btn-arrow" aria-hidden="true"><span class="academic-btn-arrow-glyph"></span></span></a></span><span class="academic-btn-wrap"><a href="#" aria-label="Get in touch" class="academic-btn academic-btn--outline contact-trigger"><span class="academic-btn-label">Get In Touch</span><span class="academic-btn-arrow" aria-hidden="true"><span class="academic-btn-arrow-glyph"></span></span></a></span></div></div></section><section class="fi x10m-intro landing-breath-section" style="--fi-delay:0ms" aria-label="Introduction"><div class="x10m-intro-inner"><p class="x10m-intro-eyebrow">Introduction</p><div class="x10m-intro-grid"><aside class="x10m-intro-aside"><div class="x10m-intro-index"><span class="x10m-intro-index-num">01</span><span class="x10m-intro-index-line" aria-hidden="true"></span></div><p class="x10m-intro-label">TLDR;</p><div class="x10m-intro-author"><span class="x10m-intro-author-label">Author</span><span class="x10m-intro-author-name">The Ropedia Team</span></div></aside><div class="x10m-intro-body"><p class="x10m-intro-lead">Xperience-10M captures<!-- --> <span class="x10m-intro-accent">multimodal human experience</span> <!-- -->for learning world-grounded behavior.</p><p class="x10m-intro-summary">Each sample is synchronized across vision, motion, spatial sensing, and language metadata. The dataset supports model pretraining, evaluation, and simulation transfer workflows.</p><span class="x10m-intro-divider" aria-hidden="true"></span><p class="x10m-intro-copy">Physical AI will not scale on synthetic trajectories alone. Xperience-10M captures how humans act, adapt, and interact in the real world, creating a foundation of experiential data for systems that must operate beyond simulation.</p></div></div></div></section><section class="fi x10m-dataset-overview landing-breath-section" style="--fi-delay:0ms" aria-label="Dataset Overview"><div class="x10m-dataset-overview-inner"><div class="x10m-key-stats-header"><p class="x10m-key-stats-kicker">Key Stats</p><h2 class="x10m-key-stats-title">Signal Stack and Scale</h2></div><div class="fi x10m-key-stats-grid" style="--fi-delay:0ms" id="x10m-key-stats-grid" aria-label="Signal stack statistics"><article class="x10m-key-stat-card"><div class="x10m-key-stat-left"><span class="x10m-key-stat-id">01</span><img alt="" aria-hidden="true" loading="lazy" width="26" height="26" decoding="async" data-nimg="1" class="x10m-key-stat-icon" style="color:transparent" src="/stats/1.episodes.svg"/></div><div class="x10m-key-stat-right"><p class="x10m-key-stat-value is-animating">0M+</p><p class="x10m-key-stat-label">Interaction Episodes</p></div></article><article class="x10m-key-stat-card"><div class="x10m-key-stat-left"><span class="x10m-key-stat-id">02</span><img alt="" aria-hidden="true" loading="lazy" width="26" height="26" decoding="async" data-nimg="1" class="x10m-key-stat-icon" style="color:transparent" src="/stats/2.video.svg"/></div><div class="x10m-key-stat-right"><p class="x10m-key-stat-value is-animating">0 h</p><p class="x10m-key-stat-label">Video w/ Audio</p></div></article><article class="x10m-key-stat-card"><div class="x10m-key-stat-left"><span class="x10m-key-stat-id">03</span><img alt="" aria-hidden="true" loading="lazy" width="26" height="26" decoding="async" data-nimg="1" class="x10m-key-stat-icon" style="color:transparent" src="/stats/3.rgb.svg"/></div><div class="x10m-key-stat-right"><p class="x10m-key-stat-value is-animating">0.00B</p><p class="x10m-key-stat-label">RGB Frame Number</p></div></article><article class="x10m-key-stat-card"><div class="x10m-key-stat-left"><span class="x10m-key-stat-id">04</span><img alt="" aria-hidden="true" loading="lazy" width="26" height="26" decoding="async" data-nimg="1" class="x10m-key-stat-icon" style="color:transparent" src="/stats/4.depth.svg"/></div><div class="x10m-key-stat-right"><p class="x10m-key-stat-value is-animating">0M</p><p class="x10m-key-stat-label">Depth Frame Number</p></div></article><article class="x10m-key-stat-card"><div class="x10m-key-stat-left"><span class="x10m-key-stat-id">05</span><img alt="" aria-hidden="true" loading="lazy" width="26" height="26" decoding="async" data-nimg="1" class="x10m-key-stat-icon" style="color:transparent" src="/stats/5.camera.svg"/></div><div class="x10m-key-stat-right"><p class="x10m-key-stat-value is-animating">0M</p><p class="x10m-key-stat-label">Camera Pose Number</p></div></article><article class="x10m-key-stat-card"><div class="x10m-key-stat-left"><span class="x10m-key-stat-id">06</span><img alt="" aria-hidden="true" loading="lazy" width="26" height="26" decoding="async" data-nimg="1" class="x10m-key-stat-icon" style="color:transparent" src="/stats/6.mocap.svg"/></div><div class="x10m-key-stat-right"><p class="x10m-key-stat-value is-animating">0M</p><p class="x10m-key-stat-label">MoCap Frame</p></div></article><article class="x10m-key-stat-card"><div class="x10m-key-stat-left"><span class="x10m-key-stat-id">07</span><img alt="" aria-hidden="true" loading="lazy" width="26" height="26" decoding="async" data-nimg="1" class="x10m-key-stat-icon" style="color:transparent" src="/stats/7.imu.svg"/></div><div class="x10m-key-stat-right"><p class="x10m-key-stat-value is-animating">0.0B</p><p class="x10m-key-stat-label">IMU Frame</p></div></article><article class="x10m-key-stat-card"><div class="x10m-key-stat-left"><span class="x10m-key-stat-id">08</span><img alt="" aria-hidden="true" loading="lazy" width="26" height="26" decoding="async" data-nimg="1" class="x10m-key-stat-icon" style="color:transparent" src="/stats/8.sentences.svg"/></div><div class="x10m-key-stat-right"><p class="x10m-key-stat-value is-animating">0M</p><p class="x10m-key-stat-label">Caption Sentences</p></div></article><article class="x10m-key-stat-card"><div class="x10m-key-stat-left"><span class="x10m-key-stat-id">09</span><img alt="" aria-hidden="true" loading="lazy" width="26" height="26" decoding="async" data-nimg="1" class="x10m-key-stat-icon" style="color:transparent" src="/stats/9.words.svg"/></div><div class="x10m-key-stat-right"><p class="x10m-key-stat-value is-animating">0M</p><p class="x10m-key-stat-label">Caption Words</p></div></article><article class="x10m-key-stat-card"><div class="x10m-key-stat-left"><span class="x10m-key-stat-id">10</span><img alt="" aria-hidden="true" loading="lazy" width="26" height="26" decoding="async" data-nimg="1" class="x10m-key-stat-icon" style="color:transparent" src="/stats/10.total.svg"/></div><div class="x10m-key-stat-right"><p class="x10m-key-stat-value is-animating">~1PB</p><p class="x10m-key-stat-label">Total Storage</p></div></article><article class="x10m-key-stat-card"><div class="x10m-key-stat-left"><span class="x10m-key-stat-id">11</span><img alt="" aria-hidden="true" loading="lazy" width="26" height="26" decoding="async" data-nimg="1" class="x10m-key-stat-icon" style="color:transparent" src="/stats/11.model.svg"/></div><div class="x10m-key-stat-right"><p class="x10m-key-stat-value is-animating">0B</p><p class="x10m-key-stat-label">Model Parameters</p></div></article><article class="x10m-key-stat-card"><div class="x10m-key-stat-left"><span class="x10m-key-stat-id">12</span><img alt="" aria-hidden="true" loading="lazy" width="26" height="26" decoding="async" data-nimg="1" class="x10m-key-stat-icon" style="color:transparent" src="/stats/12.research.svg"/></div><div class="x10m-key-stat-right"><p class="x10m-key-stat-value is-animating">0</p><p class="x10m-key-stat-label">Research Nodes</p></div></article></div><p class="x10m-dataset-overview-kicker">Dataset Overview</p><h2 class="x10m-dataset-overview-title">Dataset Overview</h2><div class="x10m-dataset-overview-content"><h3 class="x10m-dataset-overview-subtitle">Why Xperience-10M</h3><div class="x10m-dataset-overview-paragraph-group"><p class="x10m-dataset-overview-paragraph">Xperience-10M is designed to model how intelligence unfolds in the physical world: perception coupled with action, intention, and consequence. Instead of isolated frames or synthetic trajectories, each record preserves temporally consistent, embodied human experience in real environments.</p><br/><p class="x10m-dataset-overview-paragraph">The release focuses on data quality and alignment as much as scale, so teams can use it for both foundation model pretraining and task-specific downstream adaptation.</p></div></div><div class="x10m-dataset-overview-video"><video src="https://ego-app-demo-public-492661376500-ap-southeast-1-an.s3.ap-southeast-1.amazonaws.com/mainpage/introducing_ropedia_fast.mp4" title="Xperience-10M Demo" autoPlay="" controls="" muted="" preload="metadata" playsInl
1ine=""></video></div></div></section><section class="fi x10m-collab landing-breath-section" style="--fi-delay:0ms" aria-label="Collaboration"><div class="x10m-collab-inner"><p class="x10m-collab-kicker">// COLLABORATION</p><h2 class="x10m-collab-title">If you are building world models, robotics systems, or embodied agents and need large-scale, grounded human experience data, we would love to collaborate.</h2><p class="x10m-collab-body">Share your model stage, target tasks, and data requirements. We can provide suitable dataset slices and discuss integration plans.</p><span class="academic-btn-wrap"><a href="#" aria-label="Contact us" class="academic-btn contact-trigger"><span class="academic-btn-label">Contact Us</span><span class="academic-btn-arrow" aria-hidden="true"><span class="academic-btn-arrow-glyph"></span></span></a></span></div></section><footer class="footer"><div class="footer-logo-hero"><svg viewBox="0 0 237 56" fill="none" xmlns="http://www.w3.org/2000/svg" class="footer-logo-giant"><path d="M225.293 16.3388C227.718 16.3388 229.787 16.7704 231.513 17.6483C233.254 18.5114 234.504 19.806 235.263 21.547C235.635 22.3655 235.873 23.2732 235.977 24.2404C236.081 25.1928 236.126 26.2047 236.126 27.2463V43.734H232.227V39.5823C231.334 40.9364 230.233 42.0227 228.924 42.8263C227.138 43.9274 224.936 44.478 222.361 44.478C220.367 44.478 218.701 44.1209 217.347 43.3917C216.007 42.6477 214.996 41.6805 214.311 40.4751C213.641 39.2698 213.299 37.9603 213.299 36.5318C213.299 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