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YYYYYYibo/ultrafeedback_binarized_doff_no_golden_train_part_3_mini_1

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Hugging Face2024-05-08 更新2024-06-12 收录
下载链接:
https://hf-mirror.com/datasets/YYYYYYibo/ultrafeedback_binarized_doff_no_golden_train_part_3_mini_1
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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: 45470567 num_examples: 5183 download_size: 25613664 dataset_size: 45470567 configs: - config_name: default data_files: - split: train_prefs path: data/train_prefs-* --- # Dataset Card for "ultrafeedback_binarized_doff_no_golden_train_part_3_mini_1" [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 a specific data type, such as string or float64. The dataset is divided into parts like train_prefs, which contains a specific number of bytes and examples. The download and actual sizes of the dataset are also mentioned.
提供机构:
YYYYYYibo
原始信息汇总

数据集概述

数据集名称

  • ultrafeedback_binarized_doff_no_golden_train_part_3_mini_1

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(float64)
  • score_rejected:浮点数类型(float64)
  • 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:包含5183个示例,数据大小为45470567字节

数据集大小

  • 下载大小:25613664字节
  • 数据集大小:45470567字节

配置

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