stepkurniawan/knowledge_base_experiment_results

---
language:
- en
license: mit
tags:
- climate
dataset_info:
- config_name: KB_suswiki
features:
- name: question
dtype: string
- name: ground_truths
dtype: string
- name: contexts
dtype: string
- name: context_precision
dtype: float64
- name: context_recall
dtype: float64
splits:
- name: train
num_bytes: 157861
num_examples: 50
download_size: 106080
dataset_size: 157861
- config_name: KB_wikipedia
features:
- name: question
dtype: string
- name: ground_truths
dtype: string
- name: contexts
dtype: string
- name: context_precision
dtype: float64
- name: context_recall
dtype: float64
splits:
- name: train
num_bytes: 132283
num_examples: 50
download_size: 95621
dataset_size: 132283
configs:
- config_name: KB_suswiki
data_files:
- split: train
path: KB_suswiki/train-*
- config_name: KB_wikipedia
data_files:
- split: train
path: KB_wikipedia/train-*
---

This is the table to evaluate RAGAS using 50 questions from the whole dataset

原始信息汇总

数据集概述

数据集信息

• 语言: 英语
• 许可证: MIT
• 标签: 气候

配置详情

配置名称: KB_suswiki

• 特征:
  • question: 类型为字符串
  • ground_truths: 类型为字符串
  • contexts: 类型为字符串
  • context_precision: 类型为 float64
  • context_recall: 类型为 float64
• 分割:
  • train:
    • 字节数: 157861
    • 样本数: 50
• 下载大小: 106080
• 数据集大小: 157861
• 数据文件:
  • train: KB_suswiki/train-*

配置名称: KB_wikipedia

• 特征:
  • question: 类型为字符串
  • ground_truths: 类型为字符串
  • contexts: 类型为字符串
  • context_precision: 类型为 float64
  • context_recall: 类型为 float64
• 分割:
  • train:
    • 字节数: 132283
    • 样本数: 50
• 下载大小: 95621
• 数据集大小: 132283
• 数据文件:
  • train: KB_wikipedia/train-*