haixuantao/just_gripper_eval

The dataset includes features such as index, observation images (right‑wrist cam, high cam, left‑wrist cam, low cam), velocity, state, effort, action, episode index, frame index, next‑state done flag, and timestamp. Each feature has a specific data type and length (e.g., video frames, float sequences). The dataset is primarily for training and contains 1,881 examples with a total size of 955,784 bytes.

Updated 5/24/2024

hugging_face

Description

Dataset Overview

Features

index: int64
observation.images.cam_right_wrist: video frame
observation.velocity: sequence of length 14, float32
observation.images.cam_high: video frame
observation.state: sequence of length 14, float32
observation.images.cam_left_wrist: video frame
observation.effort: sequence of length 14, float32
action: sequence of length 14, float32
episode_index: int64
observation.images.cam_low: video frame
frame_index: int64
next.done: boolean
timestamp: float32

Splits

train: 1,881 samples, dataset size 955,784 bytes

Size

Download size: 80,705 bytes
Total size: 955,784 bytes

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Topics

Robotic Arm Grasping

Machine Learning

Source

Organization: hugging_face

Created: Unknown

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