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---
task_categories:
- text-classification
---
# AutoTrain Dataset for project: told_br_binary_sm_bertimbau
## Dataset Description
This dataset has been automatically processed by AutoTrain for project told_br_binary_sm_bertimbau.
### 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": "@user agora n\u00e3o me d\u00e1 mais, mas antes, porra",
"target": 1
},
{
"text": "pires \u00e9 fodido fds mais um",
"target": 1
}
]
```
### Dataset Fields
The dataset has the following fields (also called "features"):
```json
{
"text": "Value(dtype='string', id=None)",
"target": "ClassLabel(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 | 5599 |
| valid | 1401 |
|