freddiezhang/honordata
收藏AutoTrain Dataset for project: honor
数据集描述
该数据集是为项目“honor”自动处理的数据集。
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 [ { "text": "Kimchi (kimchee) is a Korean dish which is well known throughout the world. It is a spicy, tangy and pungent food that contains pickled vegetables. The word "Kimchi" comes from the Korean "Kim" meaning "turn" and "Chi" meaning "sauce".\n\nKimchi consists of vegetables which are salted, fermented and seasoned. It is an important part of the Korean diet. The two main methods of preparing Kimchi are fermentation and salting. Fermented Kimchi is made by mixing cabbage, radish and other vegetables with a specific kind of salt and sugar. Salted Kimchi is made by mixing cabbage, radish and other vegetables with a specific amount of salt and some vinegar.\n\nThe standard vegetables used in preparing Kimchi include cabbage, radish, turnip and Chinese cabbage. However, there are many different variations of Kimchi. Some of the variations include Kimchi with beef, Kimchi with fish and Kimchi with soybean paste.\n\nThe preparation of Kimchi is considered to be an important part of Korean culture. It is prepared in a ritualistic manner. The Korean culture also consider it as a "doorway" to a familys hearth.", "target": 1, "feat_meta.pile_set_name": "GPT-3" }, { "text": "So how did you survive the terrible British summer of 2015? (Mine was miserable. There were too many weekends at home in the garden, thats all I can say.) Well, its a new year and a new season of Doctor Who, with Peter Capaldi as our time-travelling hero.\n\nHeres the first photo of Capaldi in costume:\n\nAnd heres how it all begins...\n\nThis story is called The Magicians Apprentice and features Missy (the Master, if you didnt know).\n\nAnd heres a trailer:\n\nAll we can say is: A spooky church? The Doctor having to answer questions about his mistakes? Yes, please! We cant wait to see more.\n\nDoctor Who series 9 begins on Saturday 19 September on BBC One.", "target": 1, "feat_meta.pile_set_name": "GPT-3" } ]
数据集字段
数据集包含以下字段：
json { "text": "Value(dtype=string, id=None)", "target": "ClassLabel(names=[human, machine], id=None)", "feat_meta.pile_set_name": "Value(dtype=string, id=None)" }
数据集分割
数据集被分割为训练集和验证集，分割大小如下：
| 分割名称 | 样本数量 |
|---|---|
| 训练集 | 3212 |
| 验证集 | 804 |
