AnswerGenforConvSystems/webgpt_for_rag_n_roll

---
dataset_info:
features:
- name: question
struct:
- name: dataset
dtype: string
- name: full_text
dtype: string
- name: id
dtype: string
- name: quotes_0
struct:
- name: extract
sequence: string
- name: title
sequence: string
- name: answer_0
dtype: string
- name: score_0
dtype: float64
- name: sentences_0
list:
- name: citations
sequence: int64
- name: subqueries
sequence: string
- name: text
dtype: string
- name: quotes_1
struct:
- name: extract
sequence: string
- name: title
sequence: string
- name: answer_1
dtype: string
- name: score_1
dtype: float64
- name: sentences_1
list:
- name: citations
sequence: int64
- name: subqueries
sequence: string
- name: text
dtype: string
splits:
- name: train
num_bytes: 206409267
num_examples: 19578
download_size: 115737282
dataset_size: 206409267
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "webgpt_for_rag_n_roll"

[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

数据集结构

主要特征

• question:

  • dataset: 数据类型 - string
  • full_text: 数据类型 - string
  • id: 数据类型 - string

• quotes_0:

  • extract: 数据类型 - string
  • title: 数据类型 - string

• answer_0: 数据类型 - string

• score_0: 数据类型 - float64

• sentences_0:

  • citations: 数据类型 - int64
  • subqueries: 数据类型 - string
  • text: 数据类型 - string

• quotes_1:

  • extract: 数据类型 - string
  • title: 数据类型 - string

• answer_1: 数据类型 - string

• score_1: 数据类型 - float64

• sentences_1:

  • citations: 数据类型 - int64
  • subqueries: 数据类型 - string
  • text: 数据类型 - string

数据集划分

• train:
  • num_bytes: 206409267
  • num_examples: 19578

数据集大小

• download_size: 115737282
• dataset_size: 206409267