rishik12/gair_flip75

---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: query
dtype: string
- name: scenario_auto-j
dtype: string
- name: scenario_group
dtype: string
- name: response_1
struct:
- name: content
dtype: string
- name: model
dtype: string
- name: num_words
dtype: int64
- name: response_2
struct:
- name: content
dtype: string
- name: model
dtype: string
- name: num_words
dtype: int64
- name: gpt-4-turbo_reference
dtype: string
- name: clear intent
dtype: string
- name: explicitly express feelings
dtype: string
- name: explicit constraints
sequence: string
- name: explicit subjective stances
sequence: string
- name: explicit mistakes or biases
sequence: string
- name: preference_labels
struct:
- name: gpt-3.5-turbo-1106
dtype: string
- name: gpt-4-1106-preview
dtype: string
- name: human
dtype: string
- name: llama-2-13b
dtype: string
- name: llama-2-13b-chat
dtype: string
- name: llama-2-70b
dtype: string
- name: llama-2-70b-chat
dtype: string
- name: llama-2-7b
dtype: string
- name: llama-2-7b-chat
dtype: string
- name: mistral-7b
dtype: string
- name: mistral-7b-instruct-v0.1
dtype: string
- name: mistral-7b-instruct-v0.2
dtype: string
- name: mistral-8x7b
dtype: string
- name: mistral-8x7b-instruct-v0.1
dtype: string
- name: qwen-14b
dtype: string
- name: qwen-14b-chat
dtype: string
- name: qwen-72b
dtype: string
- name: qwen-72b-chat
dtype: string
- name: qwen-7b
dtype: string
- name: qwen-7b-chat
dtype: string
- name: tulu-2-dpo-13b
dtype: string
- name: tulu-2-dpo-70b
dtype: string
- name: tulu-2-dpo-7b
dtype: string
- name: vicuna-13b-v1.5
dtype: string
- name: vicuna-7b-v1.5
dtype: string
- name: wizardLM-13b-v1.2
dtype: string
- name: wizardLM-70b-v1.0
dtype: string
- name: yi-34b
dtype: string
- name: yi-34b-chat
dtype: string
- name: yi-6b
dtype: string
- name: yi-6b-chat
dtype: string
- name: zephyr-7b-alpha
dtype: string
- name: zephyr-7b-beta
dtype: string
- name: basic_response_1
struct:
- name: admit limitations or mistakes
dtype: int64
- name: authoritative tone
dtype: int64
- name: clear and understandable
dtype: int64
- name: complex word usage and sentence structure
dtype: int64
- name: friendly
dtype: int64
- name: funny and humorous
dtype: int64
- name: grammar, spelling, punctuation, and code-switching
dtype: int64
- name: harmlessness
dtype: int64
- name: information richness without considering inaccuracy
dtype: int64
- name: innovative and novel
dtype: int64
- name: interactive
dtype: int64
- name: metaphors, personification, similes, hyperboles, irony, parallelism
dtype: int64
- name: persuade user
dtype: int64
- name: polite
dtype: int64
- name: relevance without considering inaccuracy
dtype: int64
- name: repetitive
dtype: int64
- name: step by step solution
dtype: int64
- name: use of direct and explicit supporting materials
dtype: int64
- name: use of informal expressions
dtype: int64
- name: well formatted
dtype: int64
- name: basic_response_2
struct:
- name: admit limitations or mistakes
dtype: int64
- name: authoritative tone
dtype: int64
- name: clear and understandable
dtype: int64
- name: complex word usage and sentence structure
dtype: int64
- name: friendly
dtype: int64
- name: funny and humorous
dtype: int64
- name: grammar, spelling, punctuation, and code-switching
dtype: int64
- name: harmlessness
dtype: int64
- name: information richness without considering inaccuracy
dtype: int64
- name: innovative and novel
dtype: int64
- name: interactive
dtype: int64
- name: metaphors, personification, similes, hyperboles, irony, parallelism
dtype: int64
- name: persuade user
dtype: int64
- name: polite
dtype: int64
- name: relevance without considering inaccuracy
dtype: int64
- name: repetitive
dtype: int64
- name: step by step solution
dtype: int64
- name: use of direct and explicit supporting materials
dtype: int64
- name: use of informal expressions
dtype: int64
- name: well formatted
dtype: int64
- name: errors_response_1
struct:
- name: applicable or not
dtype: string
- name: errors
list:
- name: brief description
dtype: string
- name: severity
dtype: string
- name: type
dtype: string
- name: errors_response_2
struct:
- name: applicable or not
dtype: string
- name: errors
list:
- name: brief description
dtype: string
- name: severity
dtype: string
- name: type
dtype: string
- name: query-specific_response_1
struct:
- name: clarify user intent
dtype: float64
- name: correcting explicit mistakes or biases
sequence: string
- name: satisfying explicit constraints
sequence: string
- name: showing empathetic
dtype: float64
- name: supporting explicit subjective stances
sequence: string
- name: query-specific_response_2
struct:
- name: clarify user intent
dtype: float64
- name: correcting explicit mistakes or biases
sequence: string
- name: satisfying explicit constraints
sequence: string
- name: showing empathetic
dtype: float64
- name: supporting explicit subjective stances
sequence: string
- name: noise
dtype: int64
splits:
- name: train
num_bytes: 27659291
num_examples: 5240
- name: test
num_bytes: 27659291
num_examples: 5240
download_size: 26253387
dataset_size: 55318582
---
# Dataset Card for "gair_flip75"

[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

• 名称: gair_flip75

数据集配置

• 配置名称: default
• 数据文件:
  • 训练集: data/train-*
  • 测试集: data/test-*

数据集特征

• 查询: 字符串
• 场景_auto-j: 字符串
• 场景_group: 字符串
• 响应_1:
  • 内容: 字符串
  • 模型: 字符串
  • 单词数量: 整数64位
• 响应_2:
  • 内容: 字符串
  • 模型: 字符串
  • 单词数量: 整数64位
• gpt-4-turbo_reference: 字符串
• 清晰意图: 字符串
• 明确表达情感: 字符串
• 明确约束: 字符串序列
• 明确主观立场: 字符串序列
• 明确错误或偏见: 字符串序列
• 偏好标签:
  • 模型名称: 字符串
• 基本响应_1:
  • 特征: 整数64位
• 基本响应_2:
  • 特征: 整数64位
• 错误响应_1:
  • 适用性: 字符串
  • 错误:
    • 简短描述: 字符串
    • 严重性: 字符串
    • 类型: 字符串
• 错误响应_2:
  • 适用性: 字符串
  • 错误:
    • 简短描述: 字符串
    • 严重性: 字符串
    • 类型: 字符串
• 查询特定响应_1:
  • 澄清用户意图: 浮点数64位
  • 纠正明确错误或偏见: 字符串序列
  • 满足明确约束: 字符串序列
  • 显示同情: 浮点数64位
  • 支持明确主观立场: 字符串序列
• 查询特定响应_2:
  • 澄清用户意图: 浮点数64位
  • 纠正明确错误或偏见: 字符串序列
  • 满足明确约束: 字符串序列
  • 显示同情: 浮点数64位
  • 支持明确主观立场: 字符串序列
• 噪声: 整数64位

数据集分割

• 训练集:
  • 字节数: 27659291
  • 示例数: 5240
• 测试集:
  • 字节数: 27659291
  • 示例数: 5240

数据集大小

• 下载大小: 26253387字节
• 数据集大小: 55318582字节