metadata

dataset_info:
  features:
    - name: review_text
      dtype: string
    - name: ENTREGA
      dtype: int64
    - name: OUTROS
      dtype: int64
    - name: PRODUTO
      dtype: int64
    - name: CONDICOESDERECEBIMENTO
      dtype: int64
    - name: INADEQUADA
      dtype: int64
    - name: ANUNCIO
      dtype: int64
  splits:
    - name: train
      num_bytes: 1599889
      num_examples: 8002
    - name: validation
      num_bytes: 194266
      num_examples: 994
    - name: test
      num_bytes: 199787
      num_examples: 1007
  download_size: 987114
  dataset_size: 1993942
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*
license: cc-by-sa-4.0
language:
  - pt
task_categories:
  - text-classification
tags:
  - multilabel
size_categories:
  - 1K<n<10K

RePro: A Benchmark Dataset for Opinion Mining in Brazilian Portuguese

RePro, which stands for "REview of PROducts," is a benchmark dataset for opinion mining in Brazilian Portuguese. It consists of 10,000 humanly annotated e-commerce product reviews, each labeled with sentiment and topic information. The dataset was created based on data from one of the largest Brazilian e-commerce platforms, which produced the B2W-Reviews01 dataset (https://github.com/americanas-tech/b2w-reviews01). The RePro dataset aims to provide a valuable resource for tasks related to sentiment analysis and topic modeling in the context of Brazilian Portuguese e-commerce product reviews. It is designed to serve as a benchmark for future research in natural language processing and related fields.

This dataset is a processed version of RePro, where only the columns with the opinions and their categories are kept. Three stratified splits (80%/10%/10%) were created during the processing, using the scikit-multilearn library.

Citation

When utilizing or referencing this dataset, kindly cite the following publication:

@inproceedings{dos2024repro,
  title={RePro: a benchmark for Opinion Mining for Brazilian Portuguese},
  author={dos Santos Silva, Lucas Nildaimon and Real, Livy and Zandavalle, Ana Claudia Bianchini and Rodrigues, Carolina Francisco Gadelha and da Silva Gama, Tatiana and Souza, Fernando Guedes and Zaidan, Phillipe Derwich Silva},
  booktitle={Proceedings of the 16th International Conference on Computational Processing of Portuguese},
  pages={432--440},
  year={2024}
}

Contributions

Thanks to @lucasnil for adding this dataset.