| { |
| "title": "Xperience-10M Official Dataset Card Alignment", |
| "checked_at_utc": "2026-06-01T11:14:51+00:00", |
| "source_urls": { |
| "official_hf_dataset": "https://huggingface.co/datasets/ropedia-ai/xperience-10m", |
| "official_hf_api": "https://huggingface.co/api/datasets/ropedia-ai/xperience-10m", |
| "official_sample": "https://huggingface.co/datasets/ropedia-ai/xperience-10m-sample", |
| "ropedia_dataset_site": "https://ropedia.com/dataset", |
| "ropedia_release_page": "https://ropedia.com/blog/20260316_xperience_10m", |
| "homie_toolkit": "https://github.com/Ropedia/HOMIE-toolkit" |
| }, |
| "hf_repo_metadata_observed": { |
| "repo_id": "ropedia-ai/xperience-10m", |
| "pretty_name": "Xperience-10M", |
| "repo_sha": "ce943cf271a758b60240084892d05cf6dc12dd90", |
| "last_modified": "2026-04-21T05:03:45.000Z", |
| "gated": "manual", |
| "task_categories": [ |
| "video-classification", |
| "image-to-text", |
| "depth-estimation", |
| "robotics" |
| ], |
| "card_tags": [ |
| "egocentric", |
| "first-person", |
| "multimodal", |
| "3d", |
| "4d", |
| "embodied-ai", |
| "robotics", |
| "human-motion", |
| "mocap", |
| "imu", |
| "audio", |
| "depth", |
| "captions", |
| "video" |
| ], |
| "modalities": [ |
| "3d", |
| "audio", |
| "video" |
| ], |
| "language": [ |
| "en" |
| ], |
| "size_categories": [ |
| "1M<n<10M" |
| ], |
| "license": "other", |
| "access_note": "Reviewed gated access for approved non-commercial use; an external agreement-signing step may be required before approval.", |
| "live_hf_page_observed": { |
| "source": "Hugging Face dataset page/API public metadata", |
| "total_file_size_display": "31.9 TB", |
| "used_storage_bytes_observed": 31871115497224, |
| "note": "This live HF-hosted file-size display is separate from the dataset card's about-1PB full-scale data statement." |
| }, |
| "api_file_listing_observed": { |
| "scope": "public Hugging Face API metadata, not local data possession", |
| "sibling_count": 85258, |
| "session_folder_count": 803, |
| "episode_folder_count": 12103, |
| "annotation_hdf5_count": 12103, |
| "mp4_count": 72612, |
| "visualization_rrd_count": 541, |
| "canonical_episode_file_counts": { |
| "annotation.hdf5": 12103, |
| "fisheye_cam0.mp4": 12102, |
| "fisheye_cam1.mp4": 12102, |
| "fisheye_cam2.mp4": 12102, |
| "fisheye_cam3.mp4": 12102, |
| "stereo_left.mp4": 12102, |
| "stereo_right.mp4": 12102, |
| "visualization.rrd": 541 |
| } |
| } |
| }, |
| "public_sample_card_observed": { |
| "repo_id": "ropedia-ai/xperience-10m-sample", |
| "pretty_name": "Xperience-10M-Sample", |
| "license": "cc-by-nc-4.0", |
| "tags": [ |
| "sample", |
| "xperience-10k" |
| ], |
| "size_categories": [ |
| "n<1K" |
| ], |
| "card_summary": "A sample episode for Xperience-10M. The card says videos and annotations can be downloaded and inspected with HOMIE Toolkit, and the RRD file can be visualized with Rerun 0.29.0.", |
| "tooling": [ |
| "HOMIE Toolkit", |
| "Rerun 0.29.0 for visualization.rrd" |
| ] |
| }, |
| "official_dataset_summary": { |
| "description": "Large-scale egocentric multimodal human-experience data for embodied AI, robotics, world models, and spatial intelligence.", |
| "experience_units": "about 10 million", |
| "recording_hours": "about 10,000", |
| "storage_described_by_card": "about 1 PB" |
| }, |
| "official_scale_statistics": { |
| "rgb_frames": "about 2.88 billion", |
| "depth_frames": "about 720 million", |
| "camera_pose_records": "about 576 million", |
| "motion_capture_frames": "about 576 million", |
| "imu_records": "about 7.2 billion", |
| "caption_sentences": "about 16 million", |
| "caption_words": "about 200 million", |
| "vocabulary_words": "about 6,000", |
| "object_annotations": "about 350,000", |
| "trajectory_distance": "about 39,000 km" |
| }, |
| "official_modalities": [ |
| "six RGB video streams: four fisheye views and two rectified stereo views", |
| "audio embedded in the video streams", |
| "stereo depth and confidence", |
| "camera pose, SLAM trajectory, and point cloud", |
| "two-hand motion capture", |
| "full-body motion capture", |
| "inertial accelerometer and gyroscope streams", |
| "hierarchical language and caption annotations", |
| "metadata and calibration records" |
| ], |
| "episode_layout": { |
| "folder_pattern": "<session_uuid>/ep<episode_id>/", |
| "required_for_valid_episode_in_this_repo": [ |
| "annotation.hdf5" |
| ], |
| "preferred_for_full_omni_in_this_repo": [ |
| "fisheye_cam0.mp4", |
| "fisheye_cam1.mp4", |
| "fisheye_cam2.mp4", |
| "fisheye_cam3.mp4", |
| "stereo_left.mp4", |
| "stereo_right.mp4" |
| ], |
| "optional_or_excluded": [ |
| "visualization.rrd" |
| ], |
| "training_policy": "Use annotation.hdf5 plus available MP4 streams; keep visualization.rrd for optional human inspection only and exclude it from training/public bundles." |
| }, |
| "annotation_hdf5_groups": [ |
| "calibration", |
| "slam / camera pose", |
| "depth", |
| "hand_mocap", |
| "full_body_mocap", |
| "imu", |
| "video timing", |
| "metadata", |
| "caption / language annotations" |
| ], |
| "official_intended_uses": [ |
| "egocentric video and action understanding", |
| "task and subtask recognition", |
| "temporal action localization", |
| "action-language grounding and action captioning", |
| "human-object interaction analysis", |
| "object grounding and caption/language grounding", |
| "audio-visual learning and multimodal pretraining", |
| "embodied reasoning and world-model learning", |
| "robotics imitation learning", |
| "depth estimation, odometry, SLAM, and scene reconstruction", |
| "hand/body pose and human motion understanding", |
| "sensor fusion" |
| ], |
| "current_repo_alignment": { |
| "validated_episode_count": 1, |
| "validated_frames": 5821, |
| "validated_windows": 1161, |
| "current_feature_dim": 8546, |
| "raw_data_redistributed": false, |
| "audio_feature_status": "Audio is present in the sample MP4 streams and extracted into the current baseline feature vector as a real AAC audio block.", |
| "implemented_task_count": 12, |
| "neural_head_count": 12, |
| "covered_by_current_tasks": [ |
| "action/subtask recognition", |
| "next-action prediction", |
| "transition and temporal diagnostics", |
| "hand trajectory forecasting", |
| "contact prediction", |
| "object relevance", |
| "caption grounding", |
| "cross-modal retrieval", |
| "modality reconstruction", |
| "misalignment detection" |
| ], |
| "not_yet_claimed": [ |
| "large-scale audio-visual pretraining", |
| "caption generation", |
| "depth-pixel estimation", |
| "SLAM estimation", |
| "neural rendering", |
| "policy learning", |
| "cross-episode generalization", |
| "real 32-episode Qwen3-Omni model quality" |
| ] |
| }, |
| "responsible_use_boundary": [ |
| "No raw MP4, raw annotation.hdf5, private gated data, raw visualization.rrd, or full Qwen weights are redistributed.", |
| "The public sample card lists cc-by-nc-4.0; the full gated dataset uses the official Ropedia/Xperience-10M access terms and license field.", |
| "The official card describes the open-source dataset as limited in diversity and showcase/production quality, so robust evaluation and downstream safeguards are still required.", |
| "The project does not support identity recognition, re-identification, biometric profiling, surveillance, sensitive attribute inference, or safety-critical deployment.", |
| "Dataset use remains governed by the official Ropedia/Xperience-10M terms." |
| ] |
| } |
|
|
