llm-values/self_response_2_meta_llama__Meta_Llama_3_70B_answers
收藏Hugging Face2024-05-09 更新2024-06-12 收录
下载链接：
https://hf-mirror.com/datasets/llm-values/self_response_2_meta_llama__Meta_Llama_3_70B_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: meta-llama/Meta-Llama-3-70B - original'
dtype: string
- name: 'answer: meta-llama/Meta-Llama-3-70B - 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_meta_llama__Meta_Llama_3_70B_answers
num_bytes: 700014
num_examples: 701
download_size: 223333
dataset_size: 700014
configs:
- config_name: default
data_files:
- split: self_response_2_meta_llama__Meta_Llama_3_70B_answers
path: data/self_response_2_meta_llama__Meta_Llama_3_70B_answers-*
---
提供机构：
llm-values
原始信息汇总
数据集概述
特征信息
- prompt ID: 数据类型为
int64 - language: 数据类型为
string - topic: 数据类型为
string - labels: 数据类型为
string的序列 - original prompt: 数据类型为
string - translated prompt: 数据类型为
string - answer: meta-llama/Meta-Llama-3-70B - original: 数据类型为
string - answer: meta-llama/Meta-Llama-3-70B - translated: 数据类型为
string - pos priming phrase 0 - original: 数据类型为
string - pos priming phrase 0, answer: Yes - original: 数据类型为
string - pos priming phrase 0, answer Yes logprob - original: 数据类型为
float64 - pos priming phrase 0, answer: No - original: 数据类型为
string - pos priming phrase 0, answer No logprob - original: 数据类型为
float64 - neg priming phrase 0 - original: 数据类型为
string - neg priming phrase 0, answer: Yes - original: 数据类型为
string - neg priming phrase 0, answer Yes logprob - original: 数据类型为
float64 - neg priming phrase 0, answer: No - original: 数据类型为
string - neg priming phrase 0, answer No logprob - original: 数据类型为
float64 - pos priming phrase 0 - translated: 数据类型为
string - pos priming phrase 0, answer: Yes - translated: 数据类型为
string - pos priming phrase 0, answer Yes logprob - translated: 数据类型为
float64 - pos priming phrase 0, answer: No - translated: 数据类型为
string - pos priming phrase 0, answer No logprob - translated: 数据类型为
float64 - neg priming phrase 0 - translated: 数据类型为
string - neg priming phrase 0, answer: Yes - translated: 数据类型为
string - neg priming phrase 0, answer Yes logprob - translated: 数据类型为
float64 - neg priming phrase 0, answer: No - translated: 数据类型为
string - neg priming phrase 0, answer No logprob - translated: 数据类型为
float64
数据分割
- self_response_2_meta_llama__Meta_Llama_3_70B_answers:
- 字节数: 700014
- 样本数: 701
数据集大小
- 下载大小: 223333 字节
- 数据集大小: 700014 字节
配置信息
- config_name: default
- data_files:
- split: self_response_2_meta_llama__Meta_Llama_3_70B_answers
- path: data/self_response_2_meta_llama__Meta_Llama_3_70B_answers-*
- data_files:
