aractingi/test

该数据集包含多个特征，如视频帧图像、语言指令、观察状态、动作、时间戳、片段索引、帧索引、下一个奖励、下一个完成标志和索引。数据集分为一个训练集，包含239个样本，总大小为54761字节。下载大小为28282字节。

This dataset is primarily used for machine learning tasks, particularly in the field of reinforcement learning. It includes various types of data features such as video frames (for observing the environment), language instructions (for guiding the agents behavior), state sequences (describing the environment state), action sequences (describing the actions taken by the agent), timestamps (recording the time points of the data), episode indices (distinguishing different training episodes), frame indices (distinguishing different frames within the same episode), rewards (describing the rewards for the agents actions), done status (indicating whether the task is completed), and indices (global indices of the data). The dataset is divided into a training set with 239 samples, totaling 54761 bytes. The dataset configuration is set to default, with training data files stored in the data/train-* path.

原始信息汇总

数据集概述

数据集信息

特征

• observation.images.image: 视频帧数据
• language_instruction: 字符串类型
• observation.state: 浮点数序列，长度为8
• action: 浮点数序列，长度为7
• timestamp: 浮点数类型
• episode_index: 整数类型
• frame_index: 整数类型
• next.reward: 浮点数类型
• next.done: 布尔类型
• index: 整数类型

数据集分割

• train: 包含239个样本，占用54761字节

数据集大小

• 下载大小: 28282字节
• 数据集大小: 54761字节

配置

• config_name: default
  • data_files:
    • split: train
    • path: data/train-*