---
dataset_info:
  features:
  - name: text
    dtype: string
  - name: label
    dtype: int64
  splits:
  - name: train
    num_bytes: 1759298
    num_examples: 13441
  download_size: 1151696
  dataset_size: 1759298
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
license: apache-2.0
task_categories:
- text-classification
language:
- en
tags:
- sentiment
pretty_name: Adversarial Sentiment Analysis
size_categories:
- 10K<n<100K
---
# Adversarial Sentiment Analysis (Teeny-Tiny Castle)

This dataset is part of a tutorial tied to the [Teeny-Tiny Castle](https://github.com/Nkluge-correa/TeenyTinyCastle), an open-source repository containing educational tools for AI Ethics and Safety research. 

## How to Use

```python
from datasets import load_dataset

dataset = load_dataset("AiresPucrs/adversarial-sentiment-analysis", split = 'train')
```