| language: | |
| - zh | |
| task_categories: | |
| - text-classification | |
| # AutoTrain Dataset for project: analytics-intent-reasoning | |
| ## Dataset Description | |
| This dataset has been automatically processed by AutoTrain for project analytics-intent-reasoning. | |
| ### 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": "\u9500\u552e\u91d1\u989d\u7684\u540c\u6bd4", | |
| "target": 1 | |
| }, | |
| { | |
| "text": "\u676d\u5dde\u54ea\u4e2a\u533a\u7684\u9500\u552e\u91d1\u989d\u6700\u9ad8", | |
| "target": 1 | |
| } | |
| ] | |
| ``` | |
| ### Dataset Fields | |
| The dataset has the following fields (also called "features"): | |
| ```json | |
| { | |
| "text": "Value(dtype='string', id=None)", | |
| "target": "ClassLabel(names=['\u62a5\u8868\u6784\u5efa', '\u67e5\u8be2\u7c7b', '\u67e5\u8be2\u7c7b\u67e5\u8be2\u7c7b'], 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 | 72 | | |
| | valid | 20 | | |