YYYYYYibo/ultrafeedback_binarized_doff_real_no_golden_vllm_part_2_mini_2

--- dataset_info: features: - name: prompt dtype: string - name: prompt_id dtype: string - name: chosen list: - name: content dtype: string - name: role dtype: string - name: rejected list: - name: content dtype: string - name: role 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: resp0 dtype: string - name: resp1 dtype: string - name: resp2 dtype: string - name: resp3 dtype: string splits: - name: train_prefs num_bytes: 56021119 num_examples: 4400 download_size: 31118923 dataset_size: 56021119 configs: - config_name: default data_files: - split: train_prefs path: data/train_prefs-* --- # Dataset Card for "ultrafeedback_binarized_doff_real_no_golden_vllm_part_2_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, chosen, rejected, messages, score_chosen, score_rejected, reference_response, and multiple responses (resp0 to resp3). Each feature has a specified data type, such as string or float64. The dataset is split into a training set (train_prefs) with 4400 examples. The dataset configuration is named default, with data file paths at data/train_prefs-*.

原始信息汇总

数据集概述

数据集名称

• 名称: ultrafeedback_binarized_doff_real_no_golden_vllm_part_2_mini_2

数据集特征

• prompt: 字符串类型
• prompt_id: 字符串类型
• chosen: 列表类型，包含
  • content: 字符串类型
  • role: 字符串类型
• rejected: 列表类型，包含
  • content: 字符串类型
  • role: 字符串类型
• messages: 列表类型，包含
  • content: 字符串类型
  • role: 字符串类型
• score_chosen: 浮点数类型（float64）
• score_rejected: 浮点数类型（float64）
• reference_response: 字符串类型
• resp0: 字符串类型
• resp1: 字符串类型
• resp2: 字符串类型
• resp3: 字符串类型

数据集分割

• train_prefs:
  • num_bytes: 56021119
  • num_examples: 4400

数据集大小

• 下载大小: 31118923
• 数据集大小: 56021119

配置

• config_name: default
• data_files:
  • split: train_prefs
  • path: data/train_prefs-*