germank/hh-rlhf_with_features_flan_t5_large_rx

---
dataset_info:
features:
- name: chosen
dtype: string
- name: rejected
dtype: string
- name: helpfulness_chosen
dtype: int64
- name: helpfulness_rejected
dtype: int64
- name: specificity_chosen
dtype: int64
- name: specificity_rejected
dtype: int64
- name: intent_chosen
dtype: int64
- name: intent_rejected
dtype: int64
- name: factuality_chosen
dtype: int64
- name: factuality_rejected
dtype: int64
- name: easy-to-understand_chosen
dtype: int64
- name: easy-to-understand_rejected
dtype: int64
- name: relevance_chosen
dtype: int64
- name: relevance_rejected
dtype: int64
- name: readability_chosen
dtype: int64
- name: readability_rejected
dtype: int64
- name: enough-detail_chosen
dtype: int64
- name: enough-detail_rejected
dtype: int64
- name: biased:_chosen
dtype: int64
- name: biased:_rejected
dtype: int64
- name: fail-to-consider-individual-preferences_chosen
dtype: int64
- name: fail-to-consider-individual-preferences_rejected
dtype: int64
- name: repetetive_chosen
dtype: int64
- name: repetetive_rejected
dtype: int64
- name: fail-to-consider-context_chosen
dtype: int64
- name: fail-to-consider-context_rejected
dtype: int64
- name: too-long_chosen
dtype: int64
- name: too-long_rejected
dtype: int64
- name: human
dtype: string
- name: assistant_chosen
dtype: string
- name: assistant_rejected
dtype: string
- name: log_score_chosen
dtype: float64
- name: log_score_rejected
dtype: float64
- name: model_A_chosen
dtype: float64
- name: model_A_rejected
dtype: float64
- name: model_B_chosen
dtype: float64
- name: model_B_rejected
dtype: float64
- name: labels
dtype: string
splits:
- name: train
num_bytes: 14740792
num_examples: 9574
- name: test
num_bytes: 14684717
num_examples: 9574
download_size: 16376251
dataset_size: 29425509
---
# Dataset Card for "hh-rlhf_with_features_flan_t5_large_rx"

[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

数据集名称

"hh-rlhf_with_features_flan_t5_large_rx"

数据集特征

• chosen: string
• rejected: string
• helpfulness_chosen: int64
• helpfulness_rejected: int64
• specificity_chosen: int64
• specificity_rejected: int64
• intent_chosen: int64
• intent_rejected: int64
• factuality_chosen: int64
• factuality_rejected: int64
• easy-to-understand_chosen: int64
• easy-to-understand_rejected: int64
• relevance_chosen: int64
• relevance_rejected: int64
• readability_chosen: int64
• readability_rejected: int64
• enough-detail_chosen: int64
• enough-detail_rejected: int64
• biased:_chosen: int64
• biased:_rejected: int64
• fail-to-consider-individual-preferences_chosen: int64
• fail-to-consider-individual-preferences_rejected: int64
• repetetive_chosen: int64
• repetetive_rejected: int64
• fail-to-consider-context_chosen: int64
• fail-to-consider-context_rejected: int64
• too-long_chosen: int64
• too-long_rejected: int64
• human: string
• assistant_chosen: string
• assistant_rejected: string
• log_score_chosen: float64
• log_score_rejected: float64
• model_A_chosen: float64
• model_A_rejected: float64
• model_B_chosen: float64
• model_B_rejected: float64
• labels: string

数据集拆分

• train:
  • num_bytes: 14740792
  • num_examples: 9574
• test:
  • num_bytes: 14684717
  • num_examples: 9574

数据集大小

• download_size: 16376251
• dataset_size: 29425509