datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Truebones-ZOO-Annotations
Truebones ZOO Annotations
Text prompts, per-clip metadata, rest-pose renders and the exact build pipeline for
Truebones ZOO — 1,097 animal motion clips across 74 skeletons: mammals, birds,
reptiles, insects, marine and prehistoric creatures. 1.02 hours, 111,158 frames, uniformly
30 fps. Rigs range from 9 to 143 joints; clips from 0.3 to 18.5 seconds.
The motion files themselves are not in this repository. Truebones ZOO is a commercial
library by Truebones Motions Animation… See the full description on the dataset page: https://huggingface.co/datasets/tanish434/Truebones-ZOO-Annotations.urap26-annotation-videos
URAP26 Annotation Videos
Public 1080p RGB proxies paired with YOLOMG compensated-difference videos for browser annotation.
Truebones-ZOO-Annotations
Truebones ZOO Annotations
Text prompts, per-clip metadata, rest-pose renders and the exact build pipeline for
Truebones ZOO — 1,097 animal motion clips across 74 skeletons: mammals, birds,
reptiles, insects, marine and prehistoric creatures. 1.02 hours, 111,158 frames, uniformly
30 fps. Rigs range from 9 to 143 joints; clips from 0.3 to 18.5 seconds.
The motion files themselves are not in this repository. Truebones ZOO is a commercial
library by Truebones Motions Animation… See the full description on the dataset page: https://huggingface.co/datasets/Linzhan/Truebones-ZOO-Annotations.VR-egoverse-annotation-curated-v6.0
VR-egoverse-annotation-full (egoverse_v06)
Egocentric VR hand-tracking corpus: per-frame hand pose, wrist/camera trajectories, and
language narratives paired with head-mounted video clips. Schema 0.6.0, generated
2026-07-23, tooling commit e885040.
Private, in-progress upload. This release is being synced from local storage in
the background, incrementally and in chunks (see Layout below); clip counts on
the Hub will grow until the sync catches up to the full local release.… See the full description on the dataset page: https://huggingface.co/datasets/VR-VLA/VR-egoverse-annotation-curated-v6.0.video-detail-annotation
Video Detail Annotation — Contra Labs
A human-annotated evaluation dataset comparing AI-generated product videos across three leading video generation models: Google Veo 3.1, Adobe Firefly Video, and Grok Imagine (xAI).
Annotations were collected by professional video editors sourced from the Contra network, a platform connecting top independent professionals across creative and technical fields. Annotators reviewed each video and left timestamped, dimension-specific comments on… See the full description on the dataset page: https://huggingface.co/datasets/contralabs/video-detail-annotation.egoproactive-synth-annotations
EgoProactive synthetic proactive annotations
Everything produced by the annotation and synthesis pipelines for the AI Wearables Challenge 2026 EgoProactive
Dense timestamped proactive walkthroughs generated with the ambient agent
(orchestrator deepseek/deepseek-v4-flash-0731 + vision Qwen3.6-27B),
using the held-out-validated dense policy (setup-phase coverage, repetition-collapse,
fire-at-onset) and a -0.5s onset correction at chunk-binning.
set
clips
median events/clip… See the full description on the dataset page: https://huggingface.co/datasets/ambient-intelligence-labs/egoproactive-synth-annotations.4k-video-annotations
4K Video Annotations — Shot Segmentation and Camera Motion
This dataset contains 12 frame-accurate shot clips segmented from five short cinematic video sequences. Every clip is paired with a detailed, manually reviewed annotation covering visible content, subject actions, shot scale, camera angle, camera movement, movement direction, stabilization, composition, lighting, color, pacing, transitions, timecodes, and technical properties.
The footage depicts a tense nighttime… See the full description on the dataset page: https://huggingface.co/datasets/LianeMarilin/4k-video-annotations.pick_and_place_annotationThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "Unitree_G1_Inspire",
"total_episodes": 1035,
"total_frames": 322070,
"total_tasks": 14,
"total_videos": 2070,
"total_chunks": 2,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:1035"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/KGB0/pick_and_place_annotation.RunningBench-Annotation-Packs
RunningBench Annotation Packs
This repository contains ten self-contained offline packages for human verification of 698 RunningBench multiple-choice video questions.
What is included
698 question-specific 480p MP4 clips, split across ten archives.
Parts 01–09 contain 70 questions each; part 10 contains 68 questions.
Every archive contains:
index.html — offline annotation interface.
clips/*.mp4 — one video clip per question.
manifest.json — question metadata… See the full description on the dataset page: https://huggingface.co/datasets/taryya/RunningBench-Annotation-Packs.wrbench-human-annotations
WRBench Human Annotations
This dataset contains the human comparison labels used to validate WRBench's
automatic evaluation metrics.
Version Update: 2026-07-07
We updated the release after rechecking videos that changed during benchmark
maintenance. The release now includes:
1,741 clean comparison rows.
4,302 individual human judgments.
585 newly rechecked current-benchmark comparisons, each reviewed by three
annotators.
Majority-label summaries for the newly… See the full description on the dataset page: https://huggingface.co/datasets/WRBench/wrbench-human-annotations.new_year-50-annotationsThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "openarms_follower",
"total_episodes": 23,
"total_frames": 42588,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:23"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/jadechoghari/new_year-50-annotations.super_poulain_final_annotationsThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "omx_follower",
"total_episodes": 50,
"total_frames": 32650,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:50"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/pepijn223/super_poulain_final_annotations.lerobot_v060_piper_recording_test_keyframe_annotation_20260813_204109This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"joint1.pos",
"joint2.pos",
"joint3.pos",
"joint4.pos",
"joint5.pos",
"joint6.pos",
"gripper.pos"
],
"shape": [… See the full description on the dataset page: https://huggingface.co/datasets/leejaehot/lerobot_v060_piper_recording_test_keyframe_annotation_20260813_204109.pick_and_place_annotation_imageThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "Unitree_G1_Inspire",
"total_episodes": 1035,
"total_frames": 322070,
"total_tasks": 14,
"total_videos": 2070,
"total_chunks": 2,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:1035"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/KGB0/pick_and_place_annotation_image.new_year-50-annotations1This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "openarms_follower",
"total_episodes": 23,
"total_frames": 42588,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:23"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/jadechoghari/new_year-50-annotations1.rollout_smolvla_annotations_rtc_20260811_134800This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/Shirish24/rollout_smolvla_annotations_rtc_20260811_134800.new_year-50-annotations1This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"shape": [
16
],
"names": [
"right_joint_1.pos",
"right_joint_2.pos",
"right_joint_3.pos",
"right_joint_4.pos",
"right_joint_5.pos"… See the full description on the dataset page: https://huggingface.co/datasets/lilkm/new_year-50-annotations1.rollout_smolvla_annotations_rtc_20260811_132607cross_long_video_annotation_set_001vbench-annotation-videosnepali-stt-annotationsHyy_Annotation_Projectpgen-annotations