| 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 | | |