| task_categories: | |
| - text-classification | |
| # AutoTrain Dataset for project: based-in-fact | |
| ## Dataset Description | |
| This dataset has been automatically processed by AutoTrain for project based-in-fact. | |
| ### Languages | |
| The BCP-47 code for the dataset's language is unk. | |
| ## Dataset Structure | |
| ### Data Instances | |
| A sample from this dataset looks as follows: | |
| ```json | |
| [ | |
| { | |
| "text": "\u4e0a\u4e2a\u5927\u5b66\u771f\u7684\u662f\u4ec0\u4e48\u4eba\u90fd\u70b8\u51fa\u6765\u4e86", | |
| "target": 0 | |
| }, | |
| { | |
| "text": "\u5982\u679c\u4e00\u4e2aHIV\u611f\u67d3\u8005\u5bf9\u4e8e\u6297\u9006\u8f6c\u5f55\u75c5\u6bd2\u836f\u7269\u5341\u5206\u8010\u53d7\uff0c\u90a3\u4e48\u4ed6\u7684\u6cbb\u7597\u4f1a\u53d8\u5f97\u5341\u5206\u590d\u6742\uff0c\u75c5\u60c5\u5c06\u6076\u5316", | |
| "target": 1 | |
| } | |
| ] | |
| ``` | |
| ### Dataset Fields | |
| The dataset has the following fields (also called "features"): | |
| ```json | |
| { | |
| "text": "Value(dtype='string', id=None)", | |
| "target": "ClassLabel(names=['emotion', 'fact'], 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 | 30932 | | |
| | valid | 3000 | | |