Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
Tags:
sentiment
License:
File size: 888 Bytes
eb4d74c 6429ad6 eb4d74c 6429ad6 eb4d74c 6429ad6 eb4d74c ca720f0 eb4d74c ca720f0 8762569 ca720f0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 |
---
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')
```
|