task_categories:zero-shot-classification language:pt size_categories:10K<n<100K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
dataset_info:
  features:
  - name: source_text
    dtype: string
  - name: target_text
    dtype: string
  splits:
  - name: train
    num_bytes: 4338493
    num_examples: 20000
  download_size: 1744022
  dataset_size: 4338493
task_categories:
- zero-shot-classification
language:
- pt
size_categories:
- 10K<n<100K
---
# Dataset Card for "Zeroshot_Train-20K_bias_tweet-format"
This dataset is a train dataset for the Zeroshot models. 
It has 20.000 data in a prompt format exclusively for train with class 'bias' in Brazilian Portuguese.

Prompt:
```
"Classifique o tweet entre 'classe1', 'classe2', 'classe3', 'classe4', 'bias' \\n\\nTweet: frase \\n\\nLabel: 'other'
```

The dataset was divided as follows: <br>
```
- 6,000 data: prompt with class option without target class (bias)
- 7,000 data: prompt with class option + target class included as an option. target class is not correct
- 7,000 data: prompt with class option + target class. target class is correct
```

## How to load and use this dataset:
```
from datasets import load_dataset
dataset = load_dataset("Weni/Zeroshot_Train-20K_bias_tweet-format")
dataset
```

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)