Datasets:
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---
license: apache-2.0
dataset_info:
features:
- name: text
dtype: string
- name: label
dtype: int64
splits:
- name: train
num_bytes: 71907240
num_examples: 85027
download_size: 43818509
dataset_size: 71907240
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
language:
- pt
pretty_name: sentiment-analysis-pt
size_categories:
- 10K<n<100K
---
# Sentiment Analysis (Portuguese) dataset
This dataset is a concatenation of the [`IMDB 50K`](https://www.kaggle.com/datasets/lakshmi25npathi/imdb-dataset-of-50k-movie-reviews?select=IMDB+Dataset.csv), the [`Twitter US Airline Sentiment`](https://www.kaggle.com/datasets/crowdflower/twitter-airline-sentiment), App Reviews scraped from [Google Play](https://github.com/Nkluge-correa/teeny-tiny_castle/blob/master/ML%20Explainability/NLP%20Interpreter/text_scraping.ipynb), and the [`EcoPreprocessed`](https://www.kaggle.com/datasets/pradeeshprabhakar/preprocessed-dataset-sentiment-analysis).
- **Note:** Samples were translated via the Google Translate API.
## Overview
## Dataset Details
**Citation:**
```latex
```
## Contents
The dataset consists of a data frame with the following columns:
-**text:**
-**label:**
## How to use
```python
from datasets import load_dataset
dataset = load_dataset("AiresPucrs/sentiment-analysis-pt", split='train')
```
## License
This dataset is licensed under the Apache License 2.0. |