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--- |
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license: apache-2.0 |
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dataset_info: |
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features: |
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- name: text |
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dtype: string |
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- name: label |
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dtype: int64 |
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splits: |
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- name: train |
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num_bytes: 71907240 |
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num_examples: 85027 |
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download_size: 43818509 |
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dataset_size: 71907240 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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language: |
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- pt |
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pretty_name: sentiment-analysis-pt |
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size_categories: |
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- 10K<n<100K |
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--- |
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# Sentiment Analysis (Portuguese) dataset |
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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). |
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- **Note:** Samples were translated via the Google Translate API. |
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## Overview |
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## Dataset Details |
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**Citation:** |
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```latex |
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``` |
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## Contents |
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The dataset consists of a data frame with the following columns: |
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-**text:** |
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-**label:** |
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## How to use |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("AiresPucrs/sentiment-analysis-pt", split='train') |
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``` |
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## License |
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This dataset is licensed under the Apache License 2.0. |
