germank/hh-generated_flan_t5_large_with_features2_flan_t5_large
收藏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



