datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
pusht_v2_imageThis dataset was created using LeRobot.
Info
meta/info.json
{
"codebase_version": "v2.0",
"robot_type": "2d pointer",
"total_episodes": 2,
"total_frames": 279,
"total_tasks": 1,
"total_videos": 0,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 10,
"splits": {
"train": "0:2"
},
"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/cadene/pusht_v2_image.image-2-video-human-preferences-large
I2V Human Preferences (Large)
Human preference dataset for image-to-video (I2V) generation quality. Each row contains a reference image, two generated videos (one from Pika and one from CogVideoX), and 10 human preference annotations aggregated via majority vote.
This is the large (3,000-row) subset — the complete dataset. See also: small (1,000 rows), medium (2,000 rows).
Dataset Summary
Metric
Value
Total rows
3,000
Annotations per row
10
Total… See the full description on the dataset page: https://huggingface.co/datasets/datapointai/image-2-video-human-preferences-large.image2image_point_actionThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "custom",
"total_episodes": 10000,
"total_frames": 571910,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 500,
"fps": 30,
"splits": {
"train": "0:10000"
},
"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/aposadasn/image2image_point_action.image2image_point_actionThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "custom",
"total_episodes": 10000,
"total_frames": 571910,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 500,
"fps": 30,
"splits": {
"train": "0:10000"
},
"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/assassass/image2image_point_action.image-2-video-human-preferences-medium
I2V Human Preferences (Medium)
Human preference dataset for image-to-video (I2V) generation quality. Each row contains a reference image, two generated videos (one from Pika and one from CogVideoX), and 10 human preference annotations aggregated via majority vote.
This is the medium (2,000-row) subset. See also: small (1,000 rows), large (3,000 rows).
Dataset Summary
Metric
Value
Total rows
2,000
Annotations per row
10
Total annotations
20,000
Unique… See the full description on the dataset page: https://huggingface.co/datasets/datapointai/image-2-video-human-preferences-medium.peract_2_image_00This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "Franka",
"total_episodes": 13,
"total_frames": 9382,
"total_tasks": 13,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 10,
"splits": {
"train": "0:13"
},
"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/kimz1121/peract_2_image_00.image-2-video-human-preferences-small
I2V Human Preferences (Small)
Human preference dataset for image-to-video (I2V) generation quality. Each row contains a reference image, two generated videos (one from Pika and one from CogVideoX), and 10 human preference annotations aggregated via majority vote.
This is the small (1,000-row) subset. See also: medium (2,000 rows), large (3,000 rows).
Dataset Summary
Metric
Value
Total rows
1,000
Annotations per row
10
Total annotations
10,000
Unique… See the full description on the dataset page: https://huggingface.co/datasets/datapointai/image-2-video-human-preferences-small.