dongyoung4091/shp_with_features_20k_flan_t5_large_flan_t5_small_zeroshot

---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: post_id
dtype: string
- name: domain
dtype: string
- name: upvote_ratio
dtype: float64
- name: history
dtype: string
- name: c_root_id_A
dtype: string
- name: c_root_id_B
dtype: string
- name: created_at_utc_A
dtype: int64
- name: created_at_utc_B
dtype: int64
- name: score_A
dtype: int64
- name: score_B
dtype: int64
- name: human_ref_A
dtype: string
- name: human_ref_B
dtype: string
- name: labels
dtype: int64
- name: seconds_difference
dtype: float64
- name: score_ratio
dtype: float64
- name: helpfulness_A
dtype: float64
- name: helpfulness_B
dtype: float64
- name: specificity_A
dtype: float64
- name: specificity_B
dtype: float64
- name: intent_A
dtype: float64
- name: intent_B
dtype: float64
- name: factuality_A
dtype: float64
- name: factuality_B
dtype: float64
- name: easy-to-understand_A
dtype: float64
- name: easy-to-understand_B
dtype: float64
- name: relevance_A
dtype: float64
- name: relevance_B
dtype: float64
- name: readability_A
dtype: float64
- name: readability_B
dtype: float64
- name: enough-detail_A
dtype: float64
- name: enough-detail_B
dtype: float64
- name: biased:_A
dtype: float64
- name: biased:_B
dtype: float64
- name: fail-to-consider-individual-preferences_A
dtype: float64
- name: fail-to-consider-individual-preferences_B
dtype: float64
- name: repetetive_A
dtype: float64
- name: repetetive_B
dtype: float64
- name: fail-to-consider-context_A
dtype: float64
- name: fail-to-consider-context_B
dtype: float64
- name: too-long_A
dtype: float64
- name: too-long_B
dtype: float64
- name: __index_level_0__
dtype: int64
- name: log_score_A
dtype: float64
- name: log_score_B
dtype: float64
- name: zeroshot_helpfulness_A
dtype: float64
- name: zeroshot_helpfulness_B
dtype: float64
- name: zeroshot_specificity_A
dtype: float64
- name: zeroshot_specificity_B
dtype: float64
- name: zeroshot_intent_A
dtype: float64
- name: zeroshot_intent_B
dtype: float64
- name: zeroshot_factuality_A
dtype: float64
- name: zeroshot_factuality_B
dtype: float64
- name: zeroshot_easy-to-understand_A
dtype: float64
- name: zeroshot_easy-to-understand_B
dtype: float64
- name: zeroshot_relevance_A
dtype: float64
- name: zeroshot_relevance_B
dtype: float64
- name: zeroshot_readability_A
dtype: float64
- name: zeroshot_readability_B
dtype: float64
- name: zeroshot_enough-detail_A
dtype: float64
- name: zeroshot_enough-detail_B
dtype: float64
- name: zeroshot_biased:_A
dtype: float64
- name: zeroshot_biased:_B
dtype: float64
- name: zeroshot_fail-to-consider-individual-preferences_A
dtype: float64
- name: zeroshot_fail-to-consider-individual-preferences_B
dtype: float64
- name: zeroshot_repetetive_A
dtype: float64
- name: zeroshot_repetetive_B
dtype: float64
- name: zeroshot_fail-to-consider-context_A
dtype: float64
- name: zeroshot_fail-to-consider-context_B
dtype: float64
- name: zeroshot_too-long_A
dtype: float64
- name: zeroshot_too-long_B
dtype: float64
splits:
- name: train
num_bytes: 22674534
num_examples: 9459
- name: test
num_bytes: 22627412
num_examples: 9459
download_size: 24128568
dataset_size: 45301946
---
# Dataset Card for "shp_with_features_20k_flan_t5_large_flan_t5_small_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

数据集配置

• 默认配置：
  • 训练集：路径为 data/train-*
  • 测试集：路径为 data/test-*

数据集特征

• 字段信息：
  • post_id：字符串类型
  • domain：字符串类型
  • upvote_ratio：浮点数类型
  • history：字符串类型
  • c_root_id_A：字符串类型
  • c_root_id_B：字符串类型
  • created_at_utc_A：整数类型
  • created_at_utc_B：整数类型
  • score_A：整数类型
  • score_B：整数类型
  • human_ref_A：字符串类型
  • human_ref_B：字符串类型
  • labels：整数类型
  • seconds_difference：浮点数类型
  • score_ratio：浮点数类型
  • helpfulness_A：浮点数类型
  • helpfulness_B：浮点数类型
  • specificity_A：浮点数类型
  • specificity_B：浮点数类型
  • intent_A：浮点数类型
  • intent_B：浮点数类型
  • factuality_A：浮点数类型
  • factuality_B：浮点数类型
  • easy-to-understand_A：浮点数类型
  • easy-to-understand_B：浮点数类型
  • relevance_A：浮点数类型
  • relevance_B：浮点数类型
  • readability_A：浮点数类型
  • readability_B：浮点数类型
  • enough-detail_A：浮点数类型
  • enough-detail_B：浮点数类型
  • biased:_A：浮点数类型
  • biased:_B：浮点数类型
  • fail-to-consider-individual-preferences_A：浮点数类型
  • fail-to-consider-individual-preferences_B：浮点数类型
  • repetetive_A：浮点数类型
  • repetetive_B：浮点数类型
  • fail-to-consider-context_A：浮点数类型
  • fail-to-consider-context_B：浮点数类型
  • too-long_A：浮点数类型
  • too-long_B：浮点数类型
  • __index_level_0__：整数类型
  • log_score_A：浮点数类型
  • log_score_B：浮点数类型
  • zeroshot_helpfulness_A：浮点数类型
  • zeroshot_helpfulness_B：浮点数类型
  • zeroshot_specificity_A：浮点数类型
  • zeroshot_specificity_B：浮点数类型
  • zeroshot_intent_A：浮点数类型
  • zeroshot_intent_B：浮点数类型
  • zeroshot_factuality_A：浮点数类型
  • zeroshot_factuality_B：浮点数类型
  • zeroshot_easy-to-understand_A：浮点数类型
  • zeroshot_easy-to-understand_B：浮点数类型
  • zeroshot_relevance_A：浮点数类型
  • zeroshot_relevance_B：浮点数类型
  • zeroshot_readability_A：浮点数类型
  • zeroshot_readability_B：浮点数类型
  • zeroshot_enough-detail_A：浮点数类型
  • zeroshot_enough-detail_B：浮点数类型
  • zeroshot_biased:_A：浮点数类型
  • zeroshot_biased:_B：浮点数类型
  • zeroshot_fail-to-consider-individual-preferences_A：浮点数类型
  • zeroshot_fail-to-consider-individual-preferences_B：浮点数类型
  • zeroshot_repetetive_A：浮点数类型
  • zeroshot_repetetive_B：浮点数类型
  • zeroshot_fail-to-consider-context_A：浮点数类型
  • zeroshot_fail-to-consider-context_B：浮点数类型
  • zeroshot_too-long_A：浮点数类型
  • zeroshot_too-long_B：浮点数类型

数据集划分

• 训练集：
  • 字节数：22674534
  • 样本数：9459
• 测试集：
  • 字节数：22627412
  • 样本数：9459

数据集大小

• 下载大小：24128568 字节
• 数据集大小：45301946 字节