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germank/hh-generated_flan_t5_large_with_features2_flan_t5_large

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Hugging Face2023-07-24 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/germank/hh-generated_flan_t5_large_with_features2_flan_t5_large
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资源简介:
--- dataset_info: features: - name: prompt dtype: string - name: response dtype: string - name: 'biased:' dtype: int64 - name: easy-to-understand dtype: int64 - name: enough-detail dtype: int64 - name: factuality dtype: int64 - name: fail-to-consider-context dtype: int64 - name: fail-to-consider-individual-preferences dtype: int64 - name: helpfulness dtype: int64 - name: intent dtype: int64 - name: readability dtype: int64 - name: relevance dtype: int64 - name: repetetive dtype: int64 - name: specificity dtype: int64 - name: too-long dtype: int64 - name: log_score dtype: float64 splits: - name: train num_bytes: 408123 num_examples: 1600 download_size: 87285 dataset_size: 408123 --- # Dataset Card for "hh-generated_flan_t5_large_with_features2_flan_t5_large" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
提供机构:
germank
原始信息汇总

数据集概述

数据集信息

  • 特征列表
    • prompt: 类型为字符串
    • response: 类型为字符串
    • biased:: 类型为整数(int64)
    • easy-to-understand: 类型为整数(int64)
    • enough-detail: 类型为整数(int64)
    • factuality: 类型为整数(int64)
    • fail-to-consider-context: 类型为整数(int64)
    • fail-to-consider-individual-preferences: 类型为整数(int64)
    • helpfulness: 类型为整数(int64)
    • intent: 类型为整数(int64)
    • readability: 类型为整数(int64)
    • relevance: 类型为整数(int64)
    • repetetive: 类型为整数(int64)
    • specificity: 类型为整数(int64)
    • too-long: 类型为整数(int64)
    • log_score: 类型为浮点数(float64)

数据集划分

  • 训练集
    • 名称:train
    • 字节数:408123
    • 样本数:1600

数据集大小

  • 下载大小:87285 字节
  • 数据集大小:408123 字节
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