crislmfroes/aloha_doris_sim_organize_shelf
收藏Hugging Face2024-05-15 更新2024-06-12 收录
下载链接:
https://hf-mirror.com/datasets/crislmfroes/aloha_doris_sim_organize_shelf
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资源简介:
---
dataset_info:
features:
- name: observation.images.top
dtype: video_frame
- name: observation.images.wrist
dtype: video_frame
- name: observation.state
sequence: float32
length: 10
- name: action
sequence: float32
length: 10
- name: episode_index
dtype: int64
- name: frame_index
dtype: int64
- name: timestamp
dtype: float32
- name: next.done
dtype: bool
- name: index
dtype: int64
splits:
- name: train
num_bytes: 2674385
num_examples: 12040
download_size: 1239530
dataset_size: 2674385
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
This dataset is primarily used for video analysis and robotic control tasks, containing video frames captured from different perspectives (top and wrist), along with related robot state and action sequences. Additionally, the dataset records metadata for each sample, including episode index, frame index, timestamp, and a flag indicating the end of an episode. The dataset is divided into a training set, containing 12040 samples with a total size of 2674385 bytes.
提供机构:
crislmfroes
原始信息汇总
数据集概述
数据集特征
- observation.images.top:视频帧类型数据。
- observation.images.wrist:视频帧类型数据。
- observation.state:序列类型,长度为10,数据类型为float32。
- action:序列类型,长度为10,数据类型为float32。
- episode_index:整数类型数据,数据类型为int64。
- frame_index:整数类型数据,数据类型为int64。
- timestamp:浮点数类型数据,数据类型为float32。
- next.done:布尔类型数据。
- index:整数类型数据,数据类型为int64。
数据集划分
- 训练集(train):包含12040个样本,数据集大小为2674385字节。
数据集大小
- 下载大小:1239530字节。
- 数据集总大小:2674385字节。
配置信息
- 默认配置(default):训练数据文件路径为
data/train-*。



