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mcding-org/CorrectDPO-Dataset-U0

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Hugging Face2024-05-21 更新2024-06-12 收录
下载链接:
https://hf-mirror.com/datasets/mcding-org/CorrectDPO-Dataset-U0
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资源简介:
--- dataset_info: features: - name: source dtype: string - name: instruction dtype: string - name: models sequence: string - name: completions list: - name: annotations struct: - name: helpfulness struct: - name: Rating dtype: string - name: Rationale dtype: string - name: Rationale For Rating dtype: string - name: Type sequence: string - name: honesty struct: - name: Rating dtype: string - name: Rationale dtype: string - name: instruction_following struct: - name: Rating dtype: string - name: Rationale dtype: string - name: truthfulness struct: - name: Rating dtype: string - name: Rationale dtype: string - name: Rationale For Rating dtype: string - name: Type sequence: string - name: critique dtype: string - name: custom_system_prompt dtype: string - name: fine-grained_score dtype: float64 - name: model dtype: string - name: overall_score dtype: float64 - name: principle dtype: string - name: response dtype: string - name: correct_answers sequence: string - name: incorrect_answers sequence: string - name: prompt dtype: string - name: chosen dtype: string - name: rejected dtype: string splits: - name: train num_bytes: 972373441 num_examples: 60435 - name: eval num_bytes: 51047585 num_examples: 3187 download_size: 437066514 dataset_size: 1023421026 configs: - config_name: default data_files: - split: train path: data/train-* - split: eval path: data/eval-* ---

This dataset contains multiple features, primarily used for evaluating and training models in various aspects such as helpfulness, honesty, instruction following, and truthfulness. The dataset is divided into training and evaluation parts, with 60435 examples in the training part and 3187 examples in the evaluation part.
提供机构:
mcding-org
原始信息汇总

数据集信息

特征

  • source: 字符串类型
  • instruction: 字符串类型
  • models: 字符串序列
  • completions: 列表类型,包含以下结构:
    • annotations: 结构体,包含以下字段:
      • helpfulness: 结构体,包含以下字段:
        • Rating: 字符串类型
        • Rationale: 字符串类型
        • Rationale For Rating: 字符串类型
        • Type: 字符串序列
      • honesty: 结构体,包含以下字段:
        • Rating: 字符串类型
        • Rationale: 字符串类型
      • instruction_following: 结构体,包含以下字段:
        • Rating: 字符串类型
        • Rationale: 字符串类型
      • truthfulness: 结构体,包含以下字段:
        • Rating: 字符串类型
        • Rationale: 字符串类型
        • Rationale For Rating: 字符串类型
        • Type: 字符串序列
    • critique: 字符串类型
    • custom_system_prompt: 字符串类型
    • fine-grained_score: 浮点数类型
    • model: 字符串类型
    • overall_score: 浮点数类型
    • principle: 字符串类型
    • response: 字符串类型
  • correct_answers: 字符串序列
  • incorrect_answers: 字符串序列
  • prompt: 字符串类型
  • chosen: 字符串类型
  • rejected: 字符串类型

数据分割

  • train: 包含972373441字节,60435个样本
  • eval: 包含51047585字节,3187个样本

数据大小

  • 下载大小: 437066514字节
  • 数据集大小: 1023421026字节

配置

  • default: 包含以下数据文件:
    • train: 路径为data/train-*
    • eval: 路径为data/eval-*
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