280 datasets

data.montreuil.fr2026 · dataset

Vidéos publiées sur la chaîne de la ville de Montreuil

ZivaHub + Deakin Research Online2026 · dataset

<p dir="ltr">The above video represents the opinions of the authors. For a full list of declarations, including funding and author disclosure statements, and copyright information, please see the full text online (see “read the peer-reviewed publication” opposite).</p>

Hugging Face Datasets2026 · Table · Parquet

This 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/pigProfessional/so-arm10

Hugging Face Datasets2026 · dataset

MM-30 A real-world mobile manipulation dataset, released in a LeRobot v3.0 file layout. Episode snapshots Put fruit into a bowl Hang cups on a rack Sort blocks into cups Stack bowls Screw a cap onto a test tube Open a microwave Put fruit into a cabinet Load a refrigerator Fold a towel Fold clothing Open a bag and take out a toy Sweep blocks into a dustpan Overview This… See the full description on

Hugging Face Datasets2026 · Image

BVD-V-55M-CC — the Creative Commons subset Every video in laion/BVD-V-55M-URLs whose YouTube licence is creativeCommon, in the same format as the original. The licence is not part of BVD, so it was resolved for the whole corpus through the YouTube Data API: all 2,119,224 source videos, one videos.list(part=status) call per fifty ids. 15,658 came back creativeCommon, 0.74%. This is a complete censu

Hugging Face Datasets2026 · Text

Elastic-Forcing training datasets wan-1.3B-dataset/: 8,682 original videos and paired captions used by experiment 10351. Each dataset folder contains its own videos, caption metadata, training manifest, and provenance. Original training data are kept separate across model scales. wan-14B-dataset/: 5,546 retained videos and paired captions from the 14B step80 training dataset (originally 8,000; 2,4

Hugging Face Datasets2026 · Image

MiniMax-H3 video benchmark media Reference images, videos and audio for the MiniMax-H3 video benchmark, hosted so an inference server can fetch them by URL: https://huggingface.co/datasets/zhenghaoniTT/minimax-h3-bench-assets/resolve/main/<file> Attribution Videos, audio and the Tears of Steel stills are derived (trimmed, cropped, re-encoded) from Tears of Steel, (c) copyright Blender Foundation |

Hugging Face Datasets2026 · Table · Parquet

This 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/haijian06/yellow_cube_br

Hugging Face Datasets2026 · Image

The training data of OneJev: 94,707 typed questions about screens, photos, videos and text, each with its answer. This is 95.5% of the rows OneJev was trained on; rows whose sources do not allow redistribution are left out. Use from datasets import load_dataset ds = load_dataset("OmniJev/OneJev-Data", split="train", streaming=True) row = next(iter(ds)) Each row has a state with <image:N> and <vide

Hugging Face Datasets2026 · Image

VidScribe VidScribe is a diagnostic benchmark for visual text in video generation. It has four tasks: T2V (render text from a prompt), R2V (transfer text identity from a reference image), I2V (keep text intact under motion from a first frame), and V2V (edit localized text in an existing video). Every sample is labeled on 12 factor axes (F1–F12). Release status. This repository hosts the public hal

Hugging Face Datasets2026 · Table · Parquet

This 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/Aaaay-0610/so101-task-1.

Hugging Face Datasets2026 · Image

Bad Apple!! in Qwen3 attention: the text is the video Every frame of Bad Apple!! is one line of plain text. Feed the line to an unmodified Qwen3, and the first layer's attention logits draw the frame. No weights are trained or changed, and there is no hidden channel: the picture comes only from which real words stand where. https://www.youtube.com/watch?v=eFAwXZe_fZI The same second (1:00–1:10), d

Hugging Face Datasets2026 · dataset

Hugging Face Datasets2026 · Table · Parquet

This dataset was created using LeRobot. Lighting augmentation The 61 original episodes were recorded in two lighting setups: episodes 0-30 in bright daylight, episodes 31-60 in dim, warm tungsten light. Each session was relit to look like the other one (same actions, states and task; only the camera pixels change, geometry and motion are untouched): Episodes 61-91: copies of 0-30 relit to dim tung

Hugging Face Datasets2026 · Table · Parquet

This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "fps": 30, "features": { "observation.state": { "dtype": "float32", "shape": [ 18 ], "names": [ "joint_l1", "joint_l2", "joint_l3", "joint_l4", "joint_l5", "joint_l6"… See the full description on the dataset page: https://huggingface.co/datasets/kitare17/astra_pick_t.

Hugging Face Datasets2026 · Table · Parquet

This 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/hungho77/so101-ai20k-mul

Hugging Face Datasets2026 · dataset · gated

Hugging Face Datasets2026 · Table · Parquet

This 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/Deviant65/so101_redcube_

Hugging Face Datasets2026 · dataset

Reachy Mini Massive Motion Library 10,872 episodes (15.1 h at 25 fps). Each one is a prompt performed by Reachy Mini: the teacher's motion recipe, turned into 25 Hz motion by the plan-to-motion flow generator, projected onto the robot's reachable set, and rendered in MuJoCo with the official model. source episodes what astra 5,000 5,000 individually authored scenarios (Astra) astra_lively 5,000 th

Hugging Face Datasets2026 · Image · gated

Tidy Up: U.S. kitchens before and after cleaning Real kitchens. Real clutter. More than photos. Explore 20 U.S. kitchens before and after cleaning, with photos, LiDAR scans, depth data, object annotations, and generated 3D reconstructions. Study how everyday spaces change—and connect what’s visible in an image to the geometry of the room. A practical sample for exploring scene understanding, 3D re

Hugging Face Datasets2026 · dataset

Selfcollected Dataset English · 中文 Real-robot data collected with SONIC for WB-WAM task post-training. LeRobot v3.0, 20 Hz, RGB 360 × 270. The release contains 1,011 episodes, 242,668 frames, 8 tasks, and 12 independent recordings (3.370 hours). Each <task>/record_XXXX/ is an independent LeRobot dataset. Recordings of the same task remain separate: <task>/record_XXXX/ data/chunk-000/file-000.parqu

Hugging Face Datasets2026 · Table · Parquet · gated

Text-to-video human preferences: 326K votes across 15 models This dataset contains the complete voting record behind the Datapoint Video Bench leaderboard: 325,520 validated pairwise votes — exactly 10 for each of 32,552 video pairs. The votes compare 15 text-to-video models on 314 prompts built to stress motion, physics, and temporal consistency, judged by 22,982 annotators in 187 countries. Ever

Hugging Face Datasets2026 · Text

TRACE Temporal Audit and Condition-aware Evaluation of Streaming Video Understanding Timestamped video QA and proactive-response annotations for evaluating what a model knows, when it knows it, and how it responds. How TRACE works TRACE separates causal video delivery, model interaction, and scoring. The same public contract makes QA and Proactive Response results auditable across models: QA: answ

Hugging Face Datasets2026 · Table · Parquet

This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "fps": 30, "features": { "observation.state": { "dtype": "float32", "shape": [ 6 ], "names": [ "joint_0", "joint_1", "joint_2", "joint_3", "joint_4", "joint_5" ] }… See the full description on the dataset page: https://huggingface.co/datasets/witsense-ai/so101_longhorizon_dataset.

Hugging Face Datasets2026 · dataset

PICO Dataset English · 中文 Pico motion-transfer data for WB-WAM intermediate training. LeRobot v3.0, 20 Hz, RGB 360 × 270. The release contains 13,396 episodes, 1,579,028 frames, 73 tasks, and 302 independent recordings (21.931 hours). Each <task>/record_XXXX/ is an independent LeRobot dataset. Recordings of the same task remain separate: <task>/record_XXXX/ data/chunk-000/file-000.parquet videos/<