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DreamZero Franka Pick-and-Place

This dataset contains real-world Franka Panda pick-and-place demonstrations used for DreamZero supervised fine-tuning and real-world deployment in RLinf.

Dataset Summary

  • Format: LeRobot v2.1
  • Robot: Franka Panda
  • Task: Pick up the object and put it into another bin
  • Episodes: 140
  • Frames: 9,685
  • FPS: 10
  • Videos: 280
  • Image streams: observation.images.image, observation.images.wrist_image
  • Image size: 128 x 128 RGB
  • State: float32, shape [19]
  • Action: float32, shape [7]

Layout

The repository keeps the standard LeRobot directory layout:

meta/
data/
videos/

Important files include:

  • meta/info.json
  • meta/tasks.jsonl
  • meta/stats.json
  • meta/episodes.jsonl
  • data/chunk-000/episode_*.parquet
  • videos/chunk-000/observation.images.image/episode_*.mp4
  • videos/chunk-000/observation.images.wrist_image/episode_*.mp4

Usage With RLinf

Download the dataset:

huggingface-cli download RLinf/dreamzero-franka-pnp --repo-type dataset --local-dir ./franka_pnp

Generate DreamZero metadata:

python toolkits/lerobot/generate_dreamzero_metadata.py \
  --preset franka_pnp \
  --dataset-root ./franka_pnp \
  --output-metadata ./franka_pnp_metadata.json

Use the dataset with embodiment_tag: franka_pnp. For real-world Franka evaluation in RLinf, use the DreamZero Franka config and keep the gripper action convention aligned with gripper_action_mode: signed.

Safety and Scope

This dataset is intended for research on robot imitation learning and real-world deployment. Any robot execution should be validated in a controlled environment with appropriate hardware safety checks.

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