医疗问答

###### 该数据集当前使用的是默认介绍模版，处于“预发布“阶段，页面仅限所有者可见。
###### 请根据[数据集文件规范](https://www.modelscope.cn/docs/%E6%95%B0%E6%8D%AE%E9%9B%86%E6%96%87%E4%BB%B6%E8%A7%84%E8%8C%83)及时完善数据集卡片内容。ModelScope平台将在数据集卡片完善后展示。谢谢您的理解。
## 概述：

医疗描述生成数据集属于下游data-to-text类任务，可以用于训练医疗描述生成模型

## 数据集描述：

本数据集包括测试集。其中，每一条数据有两个属性，分别是输入句子text1和输出句子text2。

## 范例：

{"text1":"食物，","text2":"一个组合两块菜板，轻松生熟分开，深度凹槽设计，收集食物汁水，整洁台面，梯形分散受力底座，切菜时更稳固。"}

### Clone with HTTP
```bash
git clone https://www.modelscope.cn/datasets/ljw888/wendayiliao.git
```

This dataset currently uses the default introduction template and is in the 'pre-release' stage, with the page only visible to the owner.
Please improve the dataset card content in accordance with the [Dataset File Specification](https://www.modelscope.cn/docs/%E6%95%B0%E6%8D%AE%E9%9B%86%E6%96%87%E4%BB%B6%E8%A7%84%E8%8C%83) in a timely manner. The ModelScope platform will display the dataset after the dataset card is improved. Thank you for your understanding.

## Overview:
The medical description generation dataset falls under the downstream data-to-text task category and can be utilized to train medical description generation models.

## Dataset Description:
This dataset includes a test set. Each data entry contains two attributes: the input sentence text1 and the output sentence text2.

## Example:
json
{"text1":"Food,","text2":"A set of two cutting boards for easy separation of raw and cooked food. Designed with deep grooves to collect food juices and keep countertops tidy. The trapezoidal force-distributed base ensures greater stability during chopping."}

### Clone with HTTP
bash
git clone https://www.modelscope.cn/datasets/ljw888/wendayiliao.git

搜集汇总

背景与挑战

背景概述

该数据集专为数据到文本任务设计，旨在训练医疗描述生成模型。它包含一个测试集，其中每个数据项由输入文本和对应的输出文本组成。