Datasets:
Tasks:
Text Classification
Languages:
Portuguese
Multilinguality:
monolingual
Size Categories:
100M<n<1B
Language Creators:
found
Annotations Creators:
found
Source Datasets:
original
Tags:
reviews
DOI:
License:
cc-by-4.0
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Cannot get the config names for the dataset.
Error code: ConfigNamesError Exception: FileNotFoundError Message: Couldn't find a dataset script at /src/services/worker/ruanchaves/b2w-reviews01/b2w-reviews01.py or any data file in the same directory. Couldn't find 'ruanchaves/b2w-reviews01' on the Hugging Face Hub either: FileNotFoundError: [Errno 2] No such file or directory: '/datasets-server-cache/all/datasets/2023-06-06-20-29-09-dataset-config-names-ruanchaves-b2w-reviews0-3d80120c/downloads/bd8fc80d40423656052150d9b9ca1731efc92766fbb54db504c56f0aac43db33.71c03b35835253913ab4826a5e55fb038c9f336ba567f822799cf3929da186b1.py' Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 61, in compute_config_names_response for config in sorted(get_dataset_config_names(path=dataset, use_auth_token=use_auth_token)) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 323, in get_dataset_config_names dataset_module = dataset_module_factory( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1215, in dataset_module_factory raise FileNotFoundError( FileNotFoundError: Couldn't find a dataset script at /src/services/worker/ruanchaves/b2w-reviews01/b2w-reviews01.py or any data file in the same directory. Couldn't find 'ruanchaves/b2w-reviews01' on the Hugging Face Hub either: FileNotFoundError: [Errno 2] No such file or directory: '/datasets-server-cache/all/datasets/2023-06-06-20-29-09-dataset-config-names-ruanchaves-b2w-reviews0-3d80120c/downloads/bd8fc80d40423656052150d9b9ca1731efc92766fbb54db504c56f0aac43db33.71c03b35835253913ab4826a5e55fb038c9f336ba567f822799cf3929da186b1.py'
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Dataset Card for Dataset Name
Dataset Summary
B2W-Reviews01 is an open corpus of product reviews. It contains more than 130k e-commerce customer reviews, collected from the Americanas.com website between January and May, 2018. B2W-Reviews01 offers rich information about the reviewer profile, such as gender, age, and geographical location. The corpus also has two different review rates:
- the usual 5-point scale rate, represented by stars in most e-commerce websites,
- a "recommend to a friend" label, a "yes or no" question representing the willingness of the customer to recommend the product to someone else.
Supported Tasks and Leaderboards
- Sentiment Analysis
- Topic Modeling
Languages
- Portuguese
Dataset Structure
Data Instances
{'submission_date': '2018-01-02 06:23:22',
'reviewer_id': '6adc7901926fc1697d34181fbd88895976b4f3f31f0102d90217d248a1fad156',
'product_id': '123911277',
'product_name': 'Triciclo Gangorra Belfix Cabeça Cachorro Rosa',
'product_brand': 'belfix',
'site_category_lv1': 'Brinquedos',
'site_category_lv2': 'Mini Veículos',
'review_title': 'O produto não foi entregue',
'overall_rating': 1,
'recommend_to_a_friend': 'Yes',
'review_text': 'Incrível o descaso com o consumidor. O produto não chegou, apesar de já ter sido pago. Não recebo qualquer informação sobre onde se encontra o produto, ou qualquer compensação do vendedor. Não recomendo.',
'reviewer_birth_year': 1981,
'reviewer_gender': 'M',
'reviewer_state': 'RJ'}
Data Fields
- submission_date: the date and time when the review was submitted.
"%Y-%m-%d %H:%M:%S"
. - reviewer_id: a unique identifier for the reviewer.
- product_id: a unique identifier for the product being reviewed.
- product_name: the name of the product being reviewed.
- product_brand: the brand of the product being reviewed.
- site_category_lv1: the highest level category for the product on the site where the review is being submitted.
- site_category_lv2: the second level category for the product on the site where the review is being submitted.
- review_title: the title of the review.
- overall_rating: the overall star rating given by the reviewer on a scale of 1 to 5.
- recommend_to_a_friend: whether or not the reviewer would recommend the product to a friend (Yes/No).
- review_text: the full text of the review.
- reviewer_birth_year: the birth year of the reviewer.
- reviewer_gender: the gender of the reviewer (F/M).
- reviewer_state: the Brazilian state of the reviewer (e.g. RJ).
Data Splits
name | train |
---|---|
b2w-reviews01 | 132373 |
Citation Information
@inproceedings{real2019b2w,
title={B2W-reviews01: an open product reviews corpus},
author={Real, Livy and Oshiro, Marcio and Mafra, Alexandre},
booktitle={STIL-Symposium in Information and Human Language Technology},
year={2019}
}
Contributions
Thanks to @ruanchaves for adding this dataset.
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