Datasets:
annotations_creators:
- found
language_creators:
- found
languages:
- tr
licenses:
- unknown
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- sentiment-classification
paperswithcode_id: null
pretty_name: Turkish Product Reviews
Dataset Card for Turkish Product Reviews
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Repository: turkish-text-data
- Point of Contact: Fatih Barmanbay
Dataset Summary
This Turkish Product Reviews Dataset contains 235.165 product reviews collected online. There are 220.284 positive, 14881 negative reviews.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
The dataset is based on Turkish.
Dataset Structure
Data Instances
Example 1:
sentence: beklentimin altında bir ürün kaliteli değil
sentiment: 0 (negative)
Example 2:
sentence: fiyat ve performans olarak gayet iyi
sentiment: 1 (positive)
Data Fields
- sentence(string) : Contatins turkish product review
- sentiment(int) : 0 (negative) or 1 (positive)
Data Splits
It is not divided into Train set and Test set.
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
[More Information Needed]
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
[More Information Needed]
Annotations
The dataset does not contain any additional 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
The dataset was created by Fatih Barmanbay.
Licensing Information
The data is under the CC-BY-SA-4.0 License
Citation Information
No citation available for this dataset.
Contributions
Thanks to @basakbuluz for adding this dataset.