Datasets:
Tasks:
Text Classification
Modalities:
Text
Sub-tasks:
sentiment-classification
Languages:
Javanese
Size:
100K - 1M
License:
metadata
annotations_creators:
- found
extended:
- original
language_creators:
- machine-generated
languages:
- jv
licenses:
- odbl-1.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- sentiment-classification
Dataset Card for ImDB Urdu Reviews
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: Github
- Repository: Github
- Paper: Aclweb
- Leaderboard:
- Point of Contact: Wilson Wongso
- Size of downloaded dataset files: 17.0 MB
- Size of the generated dataset: 47.5 MB
- Total amount of disk used: 64.5 MB
Dataset Summary
Large Movie Review Dataset translated to Javanese. This is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets. We provide a set of 25,000 highly polar movie reviews for training, and 25,000 for testing. There is additional unlabeled data for use as well. We translated the original IMDB Dataset to Javanese using the multi-lingual MarianMT Transformer model from Helsinki-NLP/opus-mt-en-mul.
Supported Tasks and Leaderboards
Languages
Dataset Structure
We show detailed information for up to 5 configurations of the dataset.
Data Instances
Data Fields
text: The movie review translated into Javanese.label: The sentiment exhibited in the review, either1(positive) or0(negative).
Data Splits Sample Size
| train | unsupervised | test |
|---|---|---|
| 25000 | 50000 | 25000 |