tyzhu/squad_qa_context_v5_full_random_permute_1
收藏Hugging Face2023-11-27 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/tyzhu/squad_qa_context_v5_full_random_permute_1
下载链接
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资源简介:
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
dataset_info:
features:
- name: id
dtype: string
- name: title
dtype: string
- name: context
dtype: string
- name: question
dtype: string
- name: answers
sequence:
- name: text
dtype: string
- name: answer_start
dtype: int32
- name: answer
dtype: string
- name: context_id
dtype: string
- name: inputs
dtype: string
- name: targets
dtype: string
splits:
- name: train
num_bytes: 4350151.0
num_examples: 2385
- name: validation
num_bytes: 570908
num_examples: 300
download_size: 1029814
dataset_size: 4921059.0
---
# Dataset Card for "squad_qa_context_v5_full_random_permute_1"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
配置项:
- 配置名称:默认
数据文件:
- 拆分集:训练集(train),路径:data/train-*
- 拆分集:验证集(validation),路径:data/validation-*
数据集信息:
数据特征:
- 字段名:id,数据类型:字符串
- 字段名:title,数据类型:字符串
- 字段名:context,数据类型:字符串
- 字段名:question,数据类型:字符串
- 字段名:answers,类型为序列,包含子字段:
- 字段名:text,数据类型:字符串
- 字段名:answer_start,数据类型:32位整型
- 字段名:answer,数据类型:字符串
- 字段名:context_id,数据类型:字符串
- 字段名:inputs,数据类型:字符串
- 字段名:targets,数据类型:字符串
数据集拆分:
- 拆分名称:训练集(train),字节数:4350151.0,样本数:2385
- 拆分名称:验证集(validation),字节数:570908,样本数:300
下载大小:1029814,总数据集大小:4921059.0
---
# "squad_qa_context_v5_full_random_permute_1" 数据集卡片(Dataset Card)
[需补充更多信息](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
提供机构:
tyzhu原始信息汇总
数据集概述
数据集名称
- 名称: squad_qa_context_v5_full_random_permute_1
数据集配置
- 默认配置: default
数据文件
- 训练集:
- 路径: data/train-*
- 样本数量: 2385
- 字节数: 4350151.0
- 验证集:
- 路径: data/validation-*
- 样本数量: 300
- 字节数: 570908
数据集大小
- 下载大小: 1029814
- 数据集大小: 4921059.0
数据特征
- id: 字符串
- title: 字符串
- context: 字符串
- question: 字符串
- answers: 序列
- text: 字符串
- answer_start: 整数 (int32)
- answer: 字符串
- context_id: 字符串
- inputs: 字符串
- targets: 字符串



