dongyoung4091/hh-generated_flan_t5_large_flan_t5_zeroshot

---
dataset_info:
features:
- name: prompt
dtype: string
- name: response
dtype: string
- name: zeroshot_helpfulness
dtype: float64
- name: zeroshot_specificity
dtype: float64
- name: zeroshot_intent
dtype: int64
- name: zeroshot_factuality
dtype: int64
- name: zeroshot_easy-to-understand
dtype: int64
- name: zeroshot_relevance
dtype: int64
- name: zeroshot_readability
dtype: float64
- name: zeroshot_enough-detail
dtype: float64
- name: 'zeroshot_biased:'
dtype: int64
- name: zeroshot_fail-to-consider-individual-preferences
dtype: int64
- name: zeroshot_repetetive
dtype: int64
- name: zeroshot_fail-to-consider-context
dtype: int64
- name: zeroshot_too-long
dtype: float64
splits:
- name: train
num_bytes: 6352357
num_examples: 25600
download_size: 798475
dataset_size: 6352357
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "hh-generated_flan_t5_large_flan_t5_zeroshot"

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

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 (string)
  • response: 类型为字符串 (string)
  • zeroshot_helpfulness: 类型为浮点数 (float64)
  • zeroshot_specificity: 类型为浮点数 (float64)
  • zeroshot_intent: 类型为整数 (int64)
  • zeroshot_factuality: 类型为整数 (int64)
  • zeroshot_easy-to-understand: 类型为整数 (int64)
  • zeroshot_relevance: 类型为整数 (int64)
  • zeroshot_readability: 类型为浮点数 (float64)
  • zeroshot_enough-detail: 类型为浮点数 (float64)
  • zeroshot_biased:: 类型为整数 (int64)
  • zeroshot_fail-to-consider-individual-preferences: 类型为整数 (int64)
  • zeroshot_repetetive: 类型为整数 (int64)
  • zeroshot_fail-to-consider-context: 类型为整数 (int64)
  • zeroshot_too-long: 类型为浮点数 (float64)

• 数据分割:

  • train: 包含 25600 个样本，占用 6352357 字节

• 数据集大小:

  • 下载大小: 798475 字节
  • 数据集大小: 6352357 字节

配置信息

• 配置名称: default
  • 数据文件:
    • train: 路径为 data/train-*