dag
Datasets
All datasets matching “dag”figofigofigofigoRoVid-X
Rethinking Video Generation Model for the Embodied World
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Key features
4M robotic video clips(10K+ hours) for large-scale video generation training.
1300+ fine-grained robotic skills, covering diverse actions and task primitives.
Multi-modal physical annotations, including RGB, depth, and optical flow.
Multi-robot and multi-task diversity… See the full description on the dataset page: https://huggingface.co/datasets/DAGroup-PKU/RoVid-X.dAgger_build_block_tower_1.1.0-advantages
Advantage Values for villekuosmanen/dAgger_build_block_tower_1.1.0
Pre-computed advantage values for offline RL training.
Source
Dataset: villekuosmanen/dAgger_build_block_tower_1.1.0
Value Model: villekuosmanen/rewact_build_block_tower_all_3
N-step lookahead: 50
Files
This dataset contains per-episode parquet files with advantage values for each frame.
Usage
from pathlib import Path
import pandas as pd
# Load advantages for a specific episode… See the full description on the dataset page: https://huggingface.co/datasets/villekuosmanen/dAgger_build_block_tower_1.1.0-advantages.dAgger_build_block_tower_1.0.0-advantages
Advantage Values for villekuosmanen/dAgger_build_block_tower_1.0.0
Pre-computed advantage values for offline RL training.
Source
Dataset: villekuosmanen/dAgger_build_block_tower_1.0.0
Value Model: villekuosmanen/rewact_build_block_tower_all_3
N-step lookahead: 50
Files
This dataset contains per-episode parquet files with advantage values for each frame.
Usage
from pathlib import Path
import pandas as pd
# Load advantages for a specific episode… See the full description on the dataset page: https://huggingface.co/datasets/villekuosmanen/dAgger_build_block_tower_1.0.0-advantages.dagger_final_1_21This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "openarms_follower",
"total_episodes": 1,
"total_frames": 841,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:1"
},
"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/lerobot-data-collection/dagger_final_1_21.dAgger_build_block_tower_1.4.0-advantages
Advantage Values for villekuosmanen/dAgger_build_block_tower_1.4.0
Pre-computed advantage values for offline RL training.
Source
Dataset: villekuosmanen/dAgger_build_block_tower_1.4.0
Value Model: villekuosmanen/rewact_build_block_tower_all_3
N-step lookahead: 50
Files
This dataset contains per-episode parquet files with advantage values for each frame.
Usage
from pathlib import Path
import pandas as pd
# Load advantages for a specific episode… See the full description on the dataset page: https://huggingface.co/datasets/villekuosmanen/dAgger_build_block_tower_1.4.0-advantages.