onepaneai/answer-semanitc-similairty-ragas

---
dataset_info:
features:
- name: label
dtype: string
- name: question
dtype: string
- name: context
sequence: string
- name: ground_truth
dtype: string
- name: response
dtype: string
- name: answer_similarity_score
dtype: float64
- name: predicted_label
dtype: string
splits:
- name: train
num_bytes: 84704
num_examples: 128
download_size: 36123
dataset_size: 84704
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---

This dataset is primarily used for natural language processing tasks, particularly those involving question answering and answer evaluation. The dataset includes features such as label, question, context, ground truth, response, answer similarity score, and predicted label. It is divided into a training set with 128 examples, with a total size of 84704 bytes and a download size of 36123 bytes.

原始信息汇总

数据集概述

数据集特征

• label：数据类型为字符串。
• question：数据类型为字符串。
• context：数据类型为字符串，具有序列属性。
• ground_truth：数据类型为字符串。
• response：数据类型为字符串。
• answer_similarity_score：数据类型为浮点数（float64）。
• predicted_label：数据类型为字符串。

数据集分割

• train：包含128个示例，总大小为84,704字节。

数据集大小

• 下载大小：36,123字节。
• 数据集总大小：84,704字节。

配置

• default：训练数据文件路径为data/train-*。