Lots-of-LoRAs/task1292_yelp_review_full_text_categorization

该数据集名为task1292_yelp_review_full_text_categorization，推测其与Yelp评论的全文分类任务相关。数据集包含5195个训练样本、649个验证样本和650个测试样本。每个样本包含输入、输出和ID三个特征，输入和输出均为字符串类型。数据集的创建方式为众包，语言为英语，许可证为Apache-2.0。

The dataset is named task1292_yelp_review_full_text_categorization, and it is likely related to the task of full-text categorization of Yelp reviews. The dataset contains 5195 training samples, 649 validation samples, and 650 test samples. Each sample includes three features: input, output, and ID, with both input and output being of string type. The dataset was created through crowdsourcing, is in English, and is licensed under Apache-2.0.

原始信息汇总

数据集概述

基本信息

• 数据集名称: task1292_yelp_review_full_text_categorization
• 任务类别: 文本生成
• 语言: 英语
• 许可证: Apache 2.0
• 数据创建者: 众包
• 注释创建者: 众包

数据集结构

• 配置名称: plain_text
• 特征:
  • input: 字符串类型
  • output: 字符串类型
  • id: 字符串类型

数据分割

• 训练集: 5195个样本
• 验证集: 649个样本
• 测试集: 650个样本