five

argilla/comparison-dataset-falcon

收藏
Hugging Face2023-06-01 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/argilla/comparison-dataset-falcon
下载链接
链接失效反馈
官方服务:
资源简介:
--- {} --- ## Guidelines Please, read the prompt carefully and... ## Fields * `prompt` is of type <class 'str'> * `response-1` is of type <class 'str'> * `response-2` is of type <class 'str'> ## Questions * `response_ranking` None * `correct_response` None ## Load with Argilla To load this dataset with Argilla, you'll just need to install Argilla as `pip install argilla --upgrade` and then use the following code: ```python import argilla as rg ds = rg.FeedbackDataset.from_huggingface('argilla/comparison-dataset-falcon') ``` ## Load with Datasets To load this dataset with Datasets, you'll just need to install Datasets as `pip install datasets --upgrade` and then use the following code: ```python from datasets import load_dataset ds = load_dataset('argilla/comparison-dataset-falcon') ```
提供机构:
argilla
原始信息汇总

数据集概述

数据集字段

  • prompt: 类型为字符串
  • response-1: 类型为字符串
  • response-2: 类型为字符串

数据集问题

  • response_ranking: 未提供
  • correct_response: 未提供

数据集加载方式

  • 使用Argilla加载:

    • 安装Argilla: pip install argilla --upgrade
    • 加载代码: python import argilla as rg ds = rg.FeedbackDataset.from_huggingface(argilla/comparison-dataset-falcon)
  • 使用Datasets加载:

    • 安装Datasets: pip install datasets --upgrade
    • 加载代码: python from datasets import load_dataset ds = load_dataset(argilla/comparison-dataset-falcon)
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作