ibm/Wish-QA-ASQA-Llama
收藏Hugging Face2024-02-05 更新2024-03-04 收录
下载链接：
https://hf-mirror.com/datasets/ibm/Wish-QA-ASQA-Llama
下载链接
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资源简介：
---
dataset_info:
features:
- name: id
dtype: float64
- name: old_question
dtype: string
- name: old_answer
dtype: string
- name: passage_1
dtype: string
- name: passage_2
dtype: string
- name: passage_3
dtype: string
- name: text
dtype: string
- name: qa
dtype: string
- name: question
dtype: string
- name: answer
dtype: string
- name: doc_score
dtype: float64
- name: score_qa
dtype: float64
- name: ans_num_words
dtype: int64
- name: text_num_words
dtype: int64
- name: text_longer_1.5
dtype: int64
splits:
- name: train
num_bytes: 17679459
num_examples: 3460
download_size: 10640928
dataset_size: 17679459
---
# Dataset Card for "Wish-QA-ASQA-Llama"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
This dataset includes multiple text features such as questions, answers, passages, and related scores and statistics. The dataset is divided into a training set with 3460 examples.
提供机构：
ibm
原始信息汇总
数据集概述
数据集信息
特征
- id: 数据类型为
float64 - old_question: 数据类型为
string - old_answer: 数据类型为
string - passage_1: 数据类型为
string - passage_2: 数据类型为
string - passage_3: 数据类型为
string - text: 数据类型为
string - qa: 数据类型为
string - question: 数据类型为
string - answer: 数据类型为
string - doc_score: 数据类型为
float64 - score_qa: 数据类型为
float64 - ans_num_words: 数据类型为
int64 - text_num_words: 数据类型为
int64 - text_longer_1.5: 数据类型为
int64
数据分割
- train: 包含 3460 个样本，占用 17679459 字节
数据大小
- 下载大小: 10640928 字节
- 数据集大小: 17679459 字节
