five

YYYYYYibo/ultrafeedback_binarized_dataset_offline_pairrm_part1_mini_2

收藏
Hugging Face2024-05-06 更新2024-06-12 收录
下载链接:
https://hf-mirror.com/datasets/YYYYYYibo/ultrafeedback_binarized_dataset_offline_pairrm_part1_mini_2
下载链接
链接失效反馈
官方服务:
资源简介:
--- dataset_info: features: - name: prompt dtype: string - name: prompt_id dtype: string - name: messages list: - name: content dtype: string - name: role dtype: string - name: score_chosen dtype: float64 - name: score_rejected dtype: float64 - name: reference_response dtype: string - name: chosen list: - name: content dtype: string - name: role dtype: string - name: rejected list: - name: content dtype: string - name: role dtype: string splits: - name: train_prefs num_bytes: 38911554 num_examples: 4900 download_size: 21718104 dataset_size: 38911554 configs: - config_name: default data_files: - split: train_prefs path: data/train_prefs-* --- # Dataset Card for "ultrafeedback_binarized_dataset_offline_pairrm_part1_mini_2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

The dataset includes multiple features such as prompt, prompt_id, messages, score_chosen, score_rejected, reference_response, chosen, and rejected. Each feature has its specific data type. The dataset is divided into multiple configurations, with one named default containing training data. The size and download size of the dataset are also clearly recorded.
提供机构:
YYYYYYibo
原始信息汇总

数据集概述

数据集名称

  • ultrafeedback_binarized_dataset_offline_pairrm_part1_mini_2

数据集特征

  • prompt (字符串类型)
  • prompt_id (字符串类型)
  • messages (列表类型,包含以下子特征)
    • content (字符串类型)
    • role (字符串类型)
  • score_chosen (浮点数类型)
  • score_rejected (浮点数类型)
  • reference_response (字符串类型)
  • chosen (列表类型,包含以下子特征)
    • content (字符串类型)
    • role (字符串类型)
  • rejected (列表类型,包含以下子特征)
    • content (字符串类型)
    • role (字符串类型)

数据集分割

  • train_prefs
    • 数据大小: 38911554 字节
    • 示例数量: 4900

数据集大小

  • 下载大小: 21718104 字节
  • 数据集大小: 38911554 字节
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