datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
behavior-1k-2025-challenge-vjepa2-vitg-demo-embeddings
V-JEPA 2 ViT-G Embeddings — BEHAVIOR-1K 2025 Challenge Demos (62h)
Precomputed video embeddings for a 62-hour subsample of the
BEHAVIOR-1K 2025 challenge demonstrations,
extracted with the V-JEPA 2 ViT-g encoder.
The goal is to make downstream experimentation faster and more reproducible by eliminating
repeated video decoding and encoder forward passes — lowering the barrier for teams
without access to large GPU clusters.
Field
Value
Source dataset… See the full description on the dataset page: https://huggingface.co/datasets/quastAI/behavior-1k-2025-challenge-vjepa2-vitg-demo-embeddings.testing_qwen3vl_embeddings
Dataset Card for random_short_videos
This is a FiftyOne dataset with 412 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("harpreetsahota/testing_qwen3vl_embeddings")
# Launch the App
session = fo.launch_app(dataset)… See the full description on the dataset page: https://huggingface.co/datasets/harpreetsahota/testing_qwen3vl_embeddings.panda_pick_cube_conrft_with_action_embeddingsThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": null,
"total_episodes": 3,
"total_frames": 54,
"total_tasks": 1,
"total_videos": 6,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 10,
"splits": {
"train": "0:3"
},
"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/lilkm/panda_pick_cube_conrft_with_action_embeddings.panda_pick_cube_conrft_with_action_embeddings_testThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": null,
"total_episodes": 30,
"total_frames": 920,
"total_tasks": 1,
"total_videos": 60,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 30,
"splits": {
"train": "0:30"
},
"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/lilkm/panda_pick_cube_conrft_with_action_embeddings_test.eval_LAVLA_S1_II_20_03_2026_sinusoid_pos_timestep_embeddings_v3This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0","robot_type": "so_follower",
"total_episodes": 3,
"total_frames": 2631,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:3"
},
"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/Alkatt/eval_LAVLA_S1_II_20_03_2026_sinusoid_pos_timestep_embeddings_v3.
