Datasets:

lm4pt
/

bpsad

	---
	annotations_creators: []
	language:
	- pt
	language_creators:
	- other
	license:
	- unknown
	multilinguality:
	- monolingual
	pretty_name: bpsad
	size_categories:
	- 1M<n<10M
	source_datasets: []
	tags: []
	task_categories:
	- text-classification
	task_ids:
	- multi-class-classification
	- sentiment-classification
	- sentiment-scoring
	- sentiment-analysis
	---

	# Dataset Card for Brazilian Portuguese Sentiment Analysis Dataset

	## Table of Contents
	- [Table of Contents](#table-of-contents)
	- [Dataset Description](#dataset-description)
	- [Dataset Summary](#dataset-summary)
	- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
	- [Languages](#languages)
	- [Dataset Structure](#dataset-structure)
	- [Data Instances](#data-instances)
	- [Data Fields](#data-fields)
	- [Data Splits](#data-splits)
	- [Dataset Creation](#dataset-creation)
	- [Curation Rationale](#curation-rationale)
	- [Source Data](#source-data)
	- [Annotations](#annotations)
	- [Personal and Sensitive Information](#personal-and-sensitive-information)
	- [Considerations for Using the Data](#considerations-for-using-the-data)
	- [Social Impact of Dataset](#social-impact-of-dataset)
	- [Discussion of Biases](#discussion-of-biases)
	- [Other Known Limitations](#other-known-limitations)
	- [Additional Information](#additional-information)
	- [Dataset Curators](#dataset-curators)
	- [Licensing Information](#licensing-information)
	- [Citation Information](#citation-information)
	- [Contributions](#contributions)

	## Dataset Description

	- Homepage: [Kaggle Dataset](https://www.kaggle.com/datasets/fredericods/ptbr-sentiment-analysis-datasets)
	- Paper: [Sentiment Analysis on Brazilian Portuguese User Reviews](https://ieeexplore.ieee.org/abstract/document/9769838)
	- Point of Contact: [Frederico Dias Souza](fredericods@poli.ufrj.br)

	### Dataset Summary

	Disclaimer: *The team releasing the dataset did not write a dataset card
	for this dataset so this dataset card has been written by the contributors.*

	The Brazilian Portuguese Sentiment Analysis Dataset (BPSAD) is composed
	by the concatenation of 5 differents sources (Olist, B2W Digital, Buscapé,
	UTLC-Apps and UTLC-Movies), each one is composed by evaluation sentences
	classified according to the polarity (0: negative; 1: positive) and ratings
	(1, 2, 3, 4 and 5 stars).

	This dataset requires manual download:
	1. Download the `concatenated` file from dataset homepage.
	2. Extract the file inside `<path/to/manual/data>`.
	3. Load the dataset using the command:
	```python
	datasets.load_dataset(
	path="lm4pt/bpsad",
	name='<polarity\|rating>',
	data_dir='<path/to/manual/data>')
	```

	A detailed description about the dataset and the processing steps can be
	found at the [dataset homepage](https://www.kaggle.com/datasets/fredericods/ptbr-sentiment-analysis-datasets).


	### Supported Tasks and Leaderboards

	The dataset contains two configurations that represents the possible tasks
	related to sentiment analysis. The polarity classification is a binary
	classification problem where the sentences must be classified as positive (1)
	or negative (0) reviews. The rating prediction is a multiclass problem
	with values ranging from 1 to 5 stars.


	### Languages

	The texts are in Brazilian Portuguese, as spoken by users of different e-commerces and Filmow social network.

	## Dataset Structure

	### Data Instances

	#### polarity

	```
	{
	"review_text": "Bem macio e felpudo...recomendo. Preço imbatível e entrega rápida. Compraria outro quando precisar",
	"polarity": 1
	}
	```

	#### rating

	```
	{
	"review_text": "Bem macio e felpudo...recomendo. Preço imbatível e entrega rápida. Compraria outro quando precisar",
	"rating": 4
	}
	```

	### Data Fields

	#### polarity
	- `review_text`: a `string` feature with product or movie review.
	- `polarity`: an `integer` value that represents positive (1) or negative (0) reviews.

	#### rating

	- `review_text`: a `string` feature with product or movie review.
	- `rating`: an `integer` value that represents the number of stars given by the reviewer. Possible values are 1, 2, 3, 4 and 5.

	### Data Splits

	Data splits are created based on the original `kfold` column of each configuration, following the original authors recomendations:
	- train: folds 1 to 8
	- validation: fold 9
	- test: fold 10

	\| \| train \| validation \| test \|
	\|----------\|--------:\|-----------:\|-------:\|
	\| polarity \| 1908937 \| 238614 \| 238613 \|
	\| rating \| 2228877 \| 278608 \| 278607 \|

	More information about sentence size and label distribution can be found in the [dataset homepage](https://www.kaggle.com/datasets/fredericods/ptbr-sentiment-analysis-datasets).

	## Dataset Creation

	### Curation Rationale

	[More Information Needed]

	### Source Data

	#### Initial Data Collection and Normalization

	[More Information Needed]

	#### Who are the source language producers?

	[More Information Needed]

	### Annotations

	#### Annotation process

	[More Information Needed]

	#### Who are the annotators?

	[More Information Needed]

	### Personal and Sensitive Information

	[More Information Needed]

	## Considerations for Using the Data

	### Social Impact of Dataset

	[More Information Needed]

	### Discussion of Biases

	[More Information Needed]

	### Other Known Limitations

	[More Information Needed]

	## Additional Information

	### Dataset Curators

	[More Information Needed]

	### Licensing Information

	[More Information Needed]

	### Citation Information

	```
	@inproceedings{souza2021sentiment,
	author={
	Souza, Frederico Dias and
	Baptista de Oliveira e Souza Filho, João},
	booktitle={
	2021 IEEE Latin American Conference on
	Computational Intelligence (LA-CCI)},
	title={
	Sentiment Analysis on Brazilian Portuguese User Reviews},
	year={2021},
	pages={1-6},
	doi={10.1109/LA-CCI48322.2021.9769838}
	}
	```

	### Contributions

	Thanks to [@guilhermelmello](https://huggingface.co/guilhermelmello) and [@DominguesPH](https://huggingface.co/DominguesPH) for adding this dataset.