metadata

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, an open-source repository containing educational tools for AI Ethics and Safety research.

How to Use

from datasets import load_dataset

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