Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
sentiment-classification
Languages:
Thai
Size:
10K - 100K
License:
metadata
annotations_creators: []
language_creators: []
languages:
- th
licenses:
- lgpl-3-0-only
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- sentiment-classification
Dataset Card for Wongnai_Reviews
Dataset Description
- **Repository: ** https://github.com/wongnai/wongnai-corpus
Dataset Summary
The Wongnai Review dataset contains restaurant reviews and ratings, almost entirely in Thai language.
The reviews are in 5 classes ranging from 1 to 5 stars.
This dataset was featured in a Kaggle challenge https://www.kaggle.com/c/wongnai-challenge-review-rating-prediction/overview
Languages
Thai
Dataset Structure
Data Fields
- review_body - text of review
- star_rating - an integer star rating (1-5) or -1 (for test)
Data Splits
Designated train (40,000 reviews) and test (6,204) sets.
Source Data
Initial Data Collection and Normalization
Data was collected by Wongnai from business reviews on their website, and shared on GitHub and Kaggle.
Annotations
The reviews are users' own star ratings, so no additional annotation was needed.
Additional Information
Dataset Curators
Contributors to original GitHub repo:
- Ekkalak Thongthanomkul
- Tanapol Nearunchorn
- Yuwat Chuesathuchon
Licensing Information
LGPL-3.0