EAST/autotrain-data-Rule

---
language:
- zh
task_categories:
- text-classification
---
# AutoTrain Dataset for project: Rule

## Dataset Descritpion

This dataset has been automatically processed by AutoTrain for project Rule.

### Languages

The BCP-47 code for the dataset's language is zh.

## Dataset Structure

### Data Instances

A sample from this dataset looks as follows:

```json
[
{
"text": "\u672c\u516c\u53f8\u4f1a\u5728\u60a8\u767b\u5f55\u53ca\u7248\u672c\u66f4\u65b0\u65f6\u4ee5\u63a8\u9001\u901a\u77e5\u3001\u5f39\u6846\u7684\u5f62\u5f0f\u5411\u60a8\u5c55\u793a\u53d8\u66f4\u540e\u7684\u9690\u79c1\u653f\u7b56",
"target": 1
},
{
"text": "\u6211\u4eec\u53ef\u80fd\u9002\u65f6\u4f1a\u5bf9\u672c\u9690\u79c1\u6743\u653f\u7b56\u8fdb\u884c\u8c03\u6574\u6216\u53d8\u66f4\uff0c\u672c\u9690\u79c1\u6743\u653f\u7b56\u7684\u4efb\u4f55\u66f4\u65b0\u5c06\u4ee5\u6807\u6ce8\u66f4\u65b0\u65f6\u95f4\u7684\u65b9\u5f0f\u516c\u5e03\u5728\u6211\u4eec\u7f51\u7ad9\u4e0a\uff0c\u9664\u6cd5\u5f8b\u6cd5\u89c4\u6216\u76d1\u7ba1\u89c4\u5b9a\u53e6\u6709\u5f3a\u5236\u6027\u89c4\u5b9a\u5916\uff0c\u7ecf\u8c03\u6574\u6216\u53d8\u66f4\u7684\u5185\u5bb9\u4e00\u7ecf\u901a\u77e5\u6216\u516c\u5e03\u540e\u76847\u65e5\u540e\u751f\u6548",
"target": 0
}
]
```

### Dataset Fields

The dataset has the following fields (also called "features"):

```json
{
"text": "Value(dtype='string', id=None)",
"target": "ClassLabel(num_classes=2, names=['0', '1'], id=None)"
}
```

### Dataset Splits

This dataset is split into a train and validation split. The split sizes are as follow:

| Split name | Num samples |
| ------------ | ------------------- |
| train | 70 |
| valid | 19 |

原始信息汇总

AutoTrain Dataset for project: Rule

数据集描述

该数据集是为项目“Rule”自动处理生成的。

语言

数据集的语言代码为BCP-47标准下的zh。

数据集结构

数据实例

数据集中的样本示例如下：

json [ { "text": "u672cu516cu53f8u4f1au5728u60a8u767bu5f55u53cau7248u672cu66f4u65b0u65f6u4ee5u63a8u9001u901au77e5u3001u5f39u6846u7684u5f62u5f0fu5411u60a8u5c55u793au53d8u66f4u540eu7684u9690u79c1u653fu7b56", "target": 1 }, { "text": "u6211u4eecu53efu80fdu9002u65f6u4f1au5bf9u672cu9690u79c1u6743u653fu7b56u8fdbu884cu8c03u6574u6216u53d8u66f4uff0cu672cu9690u79c1u6743u653fu7b56u7684u4efbu4f55u66f4u65b0u5c06u4ee5u6807u6ce8u66f4u65b0u65f6u95f4u7684u65b9u5f0fu516cu5e03u5728u6211u4eecu7f51u7ad9u4e0auff0cu9664u6cd5u5f8bu6cd5u89c4u6216u76d1u7ba1u89c4u5b9au53e6u6709u5f3au5236u6027u89c4u5b9au5916uff0cu7ecfu8c03u6574u6216u53d8u66f4u7684u5185u5bb9u4e00u7ecfu901au77e5u6216u516cu5e03u540eu76847u65e5u540eu751fu6548", "target": 0 } ]

数据集字段

数据集包含以下字段：

json { "text": "Value(dtype=string, id=None)", "target": "ClassLabel(num_classes=2, names=[0, 1], id=None)" }

数据集分割

数据集被分割为训练集和验证集，分割大小如下：

分割名称	样本数量
训练集	70
验证集	19