fernanda-dionello/autotrain-data-goodreads_without_bookid
收藏数据集概述
数据集描述
本数据集是为项目“goodreads_without_bookid”自动处理而生成的。
语言
数据集的语言代码为BCP-47标准的en。
数据集结构
数据实例
数据集中的样本示例如下：
json [ { "target": 5, "text": "This book was absolutely ADORABLE!!!!!!!!!!! It was an awesome light and FUN read. I loved the characters but I absolutely LOVED Cam!!!!!!!!!!!! Major Swoooon Worthy! J Youve been checking me out havent you? In-between your flaming insults? I feel like man candy. Seriously between being HOT FUNNY and OH SO VERY ADORABLE Cam was the perfect catch!! Im not going out with you Cam. I didnt ask you at this moment now did I One side of his lips curved up. But you will eventually. Youre delusional Im determined. More like annoying. Most would say amazing. Cam and Averys relationship is tough due to the secrets she keeps but he is the perfect match for breaking her out of her shell and facing her fears. This book is definitely a MUST READ. Trust me when I say this YOU will not regret it! www.Jenreadit.com" }, { "target": 4, "text": "3.5 stars! Abbi Glines books are a guilty pleasure for me. I love the Southern charm the sexy boys and the beautiful sweet girls. When Youre Back is the second book in Reese and Mases story and other characters from my other favorite books all make appearances here. I loved River Captain Kipling! This guy is SEXY and broody. He is a bit mysterious and I am really looking forward to reading more about him! I can change your world too sweetheart. But Ill wait my turn. We also have Mases cousin Aida here who gives the cold shoulder to sweet loving Reese. I really liked how Reese blossomed in this book and how loving and devoted Mase is to her. He is one of my favorite of Abbi Glines characters and he is definitely book boyfriend material. Their scenes are touching sexy and sweet just what I expect from the Rosemary Beach series. I liked this book and recommend it if you are looking for a sexy quick summertime read!" } ]
数据集字段
数据集包含以下字段：
target: 类别标签，包含6个类别，分别为0, 1, 2, 3, 4, 5。text: 文本内容，数据类型为字符串。
数据集分割
数据集被分割为训练集和验证集，分割情况如下：
| 分割名称 | 样本数量 |
|---|---|
| 训练集 | 2358 |
| 验证集 | 592 |
