rishik12/gair_flip25

---
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: 26253384
dataset_size: 55318582
---
# Dataset Card for "gair_flip25"

[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_flip25

数据集结构

• 配置:
  • 默认配置:
    • 训练数据路径: data/train-*
    • 测试数据路径: data/test-*

数据集特征

• 基本特征:

  • query: 字符串类型
  • scenario_auto-j: 字符串类型
  • scenario_group: 字符串类型
  • clear intent: 字符串类型
  • explicitly express feelings: 字符串类型
  • explicit constraints: 序列类型，字符串
  • explicit subjective stances: 序列类型，字符串
  • explicit mistakes or biases: 序列类型，字符串
  • gpt-4-turbo_reference: 字符串类型

• 响应特征:

  • response_1: 结构类型
    • content: 字符串类型
    • model: 字符串类型
    • num_words: 整数类型
  • response_2: 结构类型
    • content: 字符串类型
    • model: 字符串类型
    • num_words: 整数类型

• 偏好标签:

  • preference_labels: 结构类型
    • 多个模型标签: 字符串类型

• 基本响应特征:

  • basic_response_1: 结构类型
    • 多个评估指标: 整数类型
  • basic_response_2: 结构类型
    • 多个评估指标: 整数类型

• 错误响应特征:

  • errors_response_1: 结构类型
    • errors: 列表类型
      • brief description: 字符串类型
      • severity: 字符串类型
      • type: 字符串类型
  • errors_response_2: 结构类型
    • errors: 列表类型
      • brief description: 字符串类型
      • severity: 字符串类型
      • type: 字符串类型

• 查询特定响应特征:

  • query-specific_response_1: 结构类型
    • clarify user intent: 浮点数类型
    • showing empathetic: 浮点数类型
  • query-specific_response_2: 结构类型
    • clarify user intent: 浮点数类型
    • showing empathetic: 浮点数类型

• 噪声: 整数类型

数据集分割

• 训练集:
  • 大小: 27659291字节
  • 示例数量: 5240
• 测试集:
  • 大小: 27659291字节
  • 示例数量: 5240

数据集大小

• 下载大小: 26253384字节
• 数据集总大小: 55318582字节