train_0.5M_CN

## 内容
包含约50万条由[BELLE](https://github.com/LianjiaTech/BELLE)项目生成的中文指令数据。

## 示例代码
```python
from modelscope import MsDataset
from modelscope.utils.constant import DownloadMode

ds = MsDataset.load('AI-ModelScope/train_0.5M_CN', split='train', download_mode=DownloadMode.FORCE_REDOWNLOAD)
print(next(iter(ds)))
```
## 样例
```
{
"instruction": "给定一个文字输入，将其中的所有数字加1。\n“明天的会议在9点开始，记得准时到达。”\n",
"input": "",
"output": "“明天的会议在10点开始，记得准时到达。”"
}
```
### 字段：
```
instruction: 指令
input: 输入（本数据集均为空）
output: 输出
```

## 使用限制
仅允许将此数据集及使用此数据集生成的衍生物用于研究目的，不得用于商业，以及其他会对社会带来危害的用途。
本数据集不代表任何一方的立场、利益或想法，无关任何团体的任何类型的主张。因使用本数据集带来的任何损害、纠纷，本项目不承担任何责任。

Contains approximately 500,000 Chinese instruction samples generated by the [BELLE](https://github.com/LianjiaTech/BELLE) project.

## Example Code
python
from modelscope import MsDataset
from modelscope.utils.constant import DownloadMode

ds = MsDataset.load('AI-ModelScope/train_0.5M_CN', split='train', download_mode=DownloadMode.FORCE_REDOWNLOAD)
print(next(iter(ds)))

## Sample
json
{
"instruction": "Given a text input, add 1 to all numbers within it.
"Tomorrow's meeting starts at 9 o'clock, please arrive on time."
",
"input": "",
"output": ""Tomorrow's meeting starts at 10 o'clock, please arrive on time.""
}

### Fields:

instruction: Instruction
input: Input (all entries in this dataset are empty)
output: Output

### Usage Restrictions
This dataset and derivatives generated using it are only permitted for research purposes, and shall not be used for commercial purposes or other uses that may cause harm to society.
This dataset does not represent the position, interests or opinions of any party, and is unrelated to any type of claims of any organization. The project shall not be liable for any damages or disputes arising from the use of this dataset.