metadata

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:

[
  {
    "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"):

{
  "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