llm-values/self_response_2_Qwen__Qwen1.5_32B_answers
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---
dataset_info:
features:
- name: prompt ID
dtype: int64
- name: language
dtype: string
- name: topic
dtype: string
- name: labels
sequence: string
- name: original prompt
dtype: string
- name: translated prompt
dtype: string
- name: 'answer: Qwen/Qwen1.5-32B - original'
dtype: string
- name: 'answer: Qwen/Qwen1.5-32B - translated'
dtype: string
- name: pos priming phrase 0 - original
dtype: string
- name: 'pos priming phrase 0, answer: Yes - original'
dtype: string
- name: pos priming phrase 0, answer Yes logprob - original
dtype: float64
- name: 'pos priming phrase 0, answer: No - original'
dtype: string
- name: pos priming phrase 0, answer No logprob - original
dtype: float64
- name: neg priming phrase 0 - original
dtype: string
- name: 'neg priming phrase 0, answer: Yes - original'
dtype: string
- name: neg priming phrase 0, answer Yes logprob - original
dtype: float64
- name: 'neg priming phrase 0, answer: No - original'
dtype: string
- name: neg priming phrase 0, answer No logprob - original
dtype: float64
- name: pos priming phrase 0 - translated
dtype: string
- name: 'pos priming phrase 0, answer: Yes - translated'
dtype: string
- name: pos priming phrase 0, answer Yes logprob - translated
dtype: float64
- name: 'pos priming phrase 0, answer: No - translated'
dtype: string
- name: pos priming phrase 0, answer No logprob - translated
dtype: float64
- name: neg priming phrase 0 - translated
dtype: string
- name: 'neg priming phrase 0, answer: Yes - translated'
dtype: string
- name: neg priming phrase 0, answer Yes logprob - translated
dtype: float64
- name: 'neg priming phrase 0, answer: No - translated'
dtype: string
- name: neg priming phrase 0, answer No logprob - translated
dtype: float64
splits:
- name: self_response_2_Qwen__Qwen1.5_32B_answers
num_bytes: 247007
num_examples: 251
download_size: 95288
dataset_size: 247007
configs:
- config_name: default
data_files:
- split: self_response_2_Qwen__Qwen1.5_32B_answers
path: data/self_response_2_Qwen__Qwen1.5_32B_answers-*
---
This dataset is designed for evaluating and analyzing the performance of language models across different languages and topics. It features include prompt ID, language, topic, labels, original prompt, translated prompt, and original and translated answers from the model Qwen/Qwen1.5-32B. Additionally, it contains positive and negative priming phrases along with their answers and probabilities. The dataset configuration is set to default, containing one split with 251 samples, totaling 247007 bytes.
提供机构：
llm-values
原始信息汇总
数据集概述
数据集特征
- prompt ID: 整数类型
- language: 字符串类型
- topic: 字符串类型
- labels: 字符串序列类型
- original prompt: 字符串类型
- translated prompt: 字符串类型
- answer: Qwen/Qwen1.5-32B - original: 字符串类型
- answer: Qwen/Qwen1.5-32B - translated: 字符串类型
- pos priming phrase 0 - original: 字符串类型
- pos priming phrase 0, answer: Yes - original: 字符串类型
- pos priming phrase 0, answer Yes logprob - original: 浮点数类型
- pos priming phrase 0, answer: No - original: 字符串类型
- pos priming phrase 0, answer No logprob - original: 浮点数类型
- neg priming phrase 0 - original: 字符串类型
- neg priming phrase 0, answer: Yes - original: 字符串类型
- neg priming phrase 0, answer Yes logprob - original: 浮点数类型
- neg priming phrase 0, answer: No - original: 字符串类型
- neg priming phrase 0, answer No logprob - original: 浮点数类型
- pos priming phrase 0 - translated: 字符串类型
- pos priming phrase 0, answer: Yes - translated: 字符串类型
- pos priming phrase 0, answer Yes logprob - translated: 浮点数类型
- pos priming phrase 0, answer: No - translated: 字符串类型
- pos priming phrase 0, answer No logprob - translated: 浮点数类型
- neg priming phrase 0 - translated: 字符串类型
- neg priming phrase 0, answer: Yes - translated: 字符串类型
- neg priming phrase 0, answer Yes logprob - translated: 浮点数类型
- neg priming phrase 0, answer: No - translated: 字符串类型
- neg priming phrase 0, answer No logprob - translated: 浮点数类型
数据集拆分
- 名称: self_response_2_Qwen__Qwen1.5_32B_answers
- 大小: 247007 字节
- 示例数量: 251
数据集大小
- 下载大小: 95288 字节
- 数据集大小: 247007 字节
配置
- 配置名称: default
- 数据文件路径: data/self_response_2_Qwen__Qwen1.5_32B_answers-*
